Volumes | International Manufacturing Science and Engineering Conference | American Society of Mechanical Engineers Digital Collection

Topics: Friction , Metals , Surface characterization , Welding , Computer simulation , Joining , Microhardness , Biomedicine , Boundary-value problems , Copper

Advances in Nontraditional Manufacturing Processes

The Development of New Turning Tool for Cryogenic Machining

Yongqing Wang, Haibo Liu, Yongquan Gan, Lingsheng Han, Kuo Liu, Ziyou Ban

MSEC 2020; V002T06A016https://doi.org/10.1115/MSEC2020-8223

Abstract

View Articletitled, The Development of New Turning Tool for Cryogenic Machining

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Topics: Machining , Turning , Cutting tools , Cutting , Simulation , Sprays , Cooling , Heat , Machinery , Manufacturing

Performance Analysis of Multi Wall Carbon Nanotubes (MWCNT) Coated Tool Electrode During Machining of Titanium Alloy (Ti6Al4V)

Shailesh Shirguppikar, Maharudra Patil

MSEC 2020; V002T06A017https://doi.org/10.1115/MSEC2020-8224

Abstract

View Articletitled, Performance Analysis of Multi Wall Carbon Nanotubes (MWCNT) Coated Tool Electrode During Machining of Titanium Alloy (Ti6Al4V)

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Topics: Electrical discharge machining , Electrodes , Machining , Multi-walled carbon nanotubes , Titanium alloys

Observation at the Interelectrode Gap of Micro Electric Discharge Milling

Satish A. Mullya, G. Karthikeyan, Ranjit S. Patil, Rajkumar B. Patil

MSEC 2020; V002T06A018https://doi.org/10.1115/MSEC2020-8280

Abstract

View Articletitled, Observation at the Interelectrode Gap of Micro Electric Discharge Milling

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Topics: Electric discharge , Milling

Numerical Simulation and Experimental Validation of Pure Water Jet Machining of Ti-6Al-4V

Greg Pasken, J. Ma, Muhammad P. Jahan, Shuting Lei

MSEC 2020; V002T06A019https://doi.org/10.1115/MSEC2020-8356

Abstract

View Articletitled, Numerical Simulation and Experimental Validation of Pure Water Jet Machining of Ti-6Al-4V

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Topics: Computer simulation , Machining , Water , Pressure , Engineering simulation , Modeling , Simulation , Machinery , Errors , Hydrodynamics

Friction Stir Forward Extrusion: Small Scale Tooling Development and Preliminary Test Results

William J. Emblom, Dillon J. Huval, Dylan J. Oustalet, Jacob Rubi, Ayotunde Olayinka, Scott W. Wagner, Muhammad A. Wahab

MSEC 2020; V002T06A020https://doi.org/10.1115/MSEC2020-8357

Abstract

View Articletitled, Friction Stir Forward Extrusion: Small Scale Tooling Development and Preliminary Test Results

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Topics: Design , Extruding , Friction , Tooling

Numerical Simulation of Pulsed Water Jet Machining of Al 6061-T6 and Ti-6Al-4V

Greg Pasken, J. Ma, Muhammad P. Jahan, Shuting Lei

MSEC 2020; V002T06A021https://doi.org/10.1115/MSEC2020-8358

Abstract

View Articletitled, Numerical Simulation of Pulsed Water Jet Machining of Al 6061-T6 and Ti-6Al-4V

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Topics: Computer simulation , Machining , Water , Titanium , Pressure , Stress , Wear , Aluminum , Simulation , Aerospace industry

Machining of Through Holes in Non-Conductive Aluminum Nitride Ceramic Using Electrical Discharge Machining Process

Asif Rashid, Muhammad P. Jahan, Asma Perveen, Jianfeng Ma

MSEC 2020; V002T06A022https://doi.org/10.1115/MSEC2020-8359

Abstract

View Articletitled, Machining of Through Holes in Non-Conductive Aluminum Nitride Ceramic Using Electrical Discharge Machining Process

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Topics: Aluminum nitride ceramics , Ceramics , Electrical discharge machining , Electrodes , Machining

Investigation of Circuit Parameters in Tube Electrode High-Speed Electrochemical Discharge Machining

Yan Zhang, Islam Md. Rashedul, Lei Ji, Baoyang Jiang

MSEC 2020; V002T06A023https://doi.org/10.1115/MSEC2020-8417

Abstract

View Articletitled, Investigation of Circuit Parameters in Tube Electrode High-Speed Electrochemical Discharge Machining

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Topics: Circuits , Electrical discharge machining , Electrodes , Machining

Modeling of Dry-EDM Plasma Discharge

Soham Mujumdar

MSEC 2020; V002T06A024https://doi.org/10.1115/MSEC2020-8441

Abstract

View Articletitled, Modeling of Dry-EDM Plasma Discharge

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Topics: Electrical discharge machining , Modeling , Plasmas (Ionized gases) , Heat flux , Temperature , Chemical kinetics , Damage , Density , Electrodes , Electrons

Numerical Investigation of Various Coaxial Nozzle Designs for Direct Laser Deposition

Theodore T. Gabor, Hang-Eun Joe, Semih Akin, Martin Byung-Guk Jun, Kyung-Han Kim, Jong-Kwon Park

MSEC 2020; V002T06A025https://doi.org/10.1115/MSEC2020-8444

Abstract

View Articletitled, Numerical Investigation of Various Coaxial Nozzle Designs for Direct Laser Deposition

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Topics: Lasers , Nozzles , Flow (Dynamics) , Computational fluid dynamics , Design , Particulate matter , Simulation , Additive manufacturing , Computer simulation , Geometry

Simulation and Characterization of Cold Spray Deposition of Metal Powders on Polymer Substrate Electrically Conductive Application

Jun-Ting Tsai, David F. Bahr, Semih Akin, Fengfeng Zhou, Martin Byung-Guk Jun, MinSoo Park

MSEC 2020; V002T06A026https://doi.org/10.1115/MSEC2020-8461

Abstract

View Articletitled, Simulation and Characterization of Cold Spray Deposition of Metal Powders on Polymer Substrate Electrically Conductive Application

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Topics: Finite element analysis , Metal powders , Polymers , Simulation , Sprays , Adhesion , Coating processes , Constitutive equations , Copper , Copper powders

Experimental Analysis of Material Squeeze Factor in Two-Point Incremental Forming of AL 7075-O

Ankush Bansal, Randy Cheng, Mihaela Banu, Alan Taub, Jun Ni

MSEC 2020; V002T06A027https://doi.org/10.1115/MSEC2020-8527

Abstract

View Articletitled, Experimental Analysis of Material Squeeze Factor in Two-Point Incremental Forming of AL 7075-O

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Topics: Experimental analysis , Forming equipment (Packaging) , Machinery , Manufacturing , Shapes , Sheet metal

Advances in Processing of Polymers and Polymer Composites

Modeling and Simulation of the Phase Coarsening Process for Cocontinuous Polymer Blends

Hangming Shen, Donggang Yao

MSEC 2020; V002T06A028https://doi.org/10.1115/MSEC2020-8272

Abstract

View Articletitled, Modeling and Simulation of the Phase Coarsening Process for Cocontinuous Polymer Blends

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Topics: Modeling , Polymer blends , Simulation , Computation , Computer simulation , Dimensional analysis , Flow (Dynamics) , Geometry , Mechanical properties , Melt processing

Influence of the Porous Volume in the Structure of Resin Bond Composite Abrasives by its Mechanical Performance

Matheus de Mendonça Chitan, Katia Cristiane Gandolpho Candioto

MSEC 2020; V002T06A029https://doi.org/10.1115/MSEC2020-8292

Abstract

View Articletitled, Influence of the Porous Volume in the Structure of Resin Bond Composite Abrasives by its Mechanical Performance

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Topics: Abrasives , Composite materials , Equipment performance , Excitation , Impulse (Physics) , Mechanical properties , Resins

Hexamethylenetetramine Levels Effect Over the Young’s Modulus in Abrasive Materials

Emanuelle Machado Amaral, Raphael Schweiger Freitas Bottairi, Katia Cristiane Gandolpho Candioto

MSEC 2020; V002T06A030https://doi.org/10.1115/MSEC2020-8310

Abstract

View Articletitled, Hexamethylenetetramine Levels Effect Over the Young’s Modulus in Abrasive Materials

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Topics: Abrasives , Resins , Young's modulus

A Machine Learning Approach to Model the Electrospinning Process of Biocompatible Materials

Juan Diego Toscano, Zebin Li, Luis Javier Segura, Hongyue Sun

MSEC 2020; V002T06A031https://doi.org/10.1115/MSEC2020-8362

Abstract

View Articletitled, A Machine Learning Approach to Model the Electrospinning Process of Biocompatible Materials

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Topics: Biomaterials , Electrospinning , Machine learning , Modeling

3D Printing of Flexible and Stretchable Parts Using Multiwall Carbon Nanotubes/Polyester-Based Thermoplastic Polyurethane

Felicia Stan, Nicoleta-Violeta Stanciu, Adriana-Madalina Constantinescu, Catalin Fetecau

MSEC 2020; V002T06A032https://doi.org/10.1115/MSEC2020-8428

Abstract

View Articletitled, 3D Printing of Flexible and Stretchable Parts Using Multiwall Carbon Nanotubes/Polyester-Based Thermoplastic Polyurethane

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Topics: Additive manufacturing , Electrical conductivity , Multi-walled carbon nanotubes , Polyester fabrics , Urethane elastomers

Polymeric Reaction Molding of Biocompatible Materials: Lessons Learned

Sabrina Kosnik, Davide Piovesan

MSEC 2020; V002T06A033https://doi.org/10.1115/MSEC2020-8465

Abstract

View Articletitled, Polymeric Reaction Molding of Biocompatible Materials: Lessons Learned

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Topics: Binders (Materials) , Biocompatible polymers , Biomaterials , Biomedicine , Casting , Epoxy resins , Ester , Hardening (Curing) , Heat , Heat capacity

Preliminary Study on High-Speed Machining of Hybrid Composite Stacks Using Nanoparticle Enhanced MQL

Sagil James, Shayan Nejadian

MSEC 2020; V002T06A034https://doi.org/10.1115/MSEC2020-8523

Abstract

View Articletitled, Preliminary Study on High-Speed Machining of Hybrid Composite Stacks Using Nanoparticle Enhanced MQL

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Topics: Carbon reinforced plastics , Composite materials , Machining , Nanoparticles

Prediction and Optimization of Surface Roughness and Cutting Force in Turning of UHMWPE by Using Taguchi Method, Response Surface Methodology and Neural Networks

Florin Susac, Felicia Stan, Catalin Fetecau, Irina Besliu

MSEC 2020; V002T06A035https://doi.org/10.1115/MSEC2020-8534

Abstract

View Articletitled, Prediction and Optimization of Surface Roughness and Cutting Force in Turning of UHMWPE by Using Taguchi Method, Response Surface Methodology and Neural Networks

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Topics: Artificial neural networks , Cutting , Optimization , Response surface methodology , Surface roughness , Taguchi methods , Turning

Laser-Based Advanced Manufacturing and Material Processing

3D Laser Forming of Metal Foam Sandwich Panels

Tizian Bucher, Connor Finn, Ravi Verma, Wayne Li, Y. Lawrence Yao

MSEC 2020; V002T06A036https://doi.org/10.1115/MSEC2020-8210

Abstract

View Articletitled, 3D Laser Forming of Metal Foam Sandwich Panels

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Topics: Deformation , Lasers , Metal foams

Experimental Investigation of the Machinability of Single Crystal Silicon in Laser-Assisted Diamond Cutting

Jinyang Ke, Xiao Chen, Jianguo Zhang, Changlin Liu, Guoqing Xu, Jianning Chu, Junfeng Xiao, Jianfeng Xu

MSEC 2020; V002T06A037https://doi.org/10.1115/MSEC2020-8251

Abstract

View Articletitled, Experimental Investigation of the Machinability of Single Crystal Silicon in Laser-Assisted Diamond Cutting

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Topics: Crystals , Cutting , Damage , Diamonds , Lasers , Machinability , Machining , Silicon

Finite Element Method (FEM) Based Simulation of Continuous Laser Ablation: Surface Temperature and Depth Profile Evolution

Sandeep Ravi-Kumar, Liangkui Jiang, Hantang Qin

MSEC 2020; V002T06A038https://doi.org/10.1115/MSEC2020-8341

Abstract

View Articletitled, Finite Element Method (FEM) Based Simulation of Continuous Laser Ablation: Surface Temperature and Depth Profile Evolution

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Topics: Finite element methods , Heat transfer , Laser ablation , Simulation , Temperature

Experimental Study of Micromachining on Reflective Surface Using CO₂ Laser

Vishnu Vardhan Posa, Murali Sundaram

MSEC 2020; V002T06A039https://doi.org/10.1115/MSEC2020-8350

Abstract

View Articletitled, Experimental Study of Micromachining on Reflective Surface Using CO<sub>2</sub> Laser

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Topics: Carbon dioxide lasers , Coating processes , Coatings , Experimental design , Glass , Lasers , Micromachining , Machining , Laser beam machining , Reflective materials

Intense Pulse Light Annealing for Perovskite Photovoltaics

Amir H. Ghahremani, Thad Druffel

MSEC 2020; V002T06A040https://doi.org/10.1115/MSEC2020-8394

Abstract

View Articletitled, Intense Pulse Light Annealing for Perovskite Photovoltaics

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Topics: Annealing , Photovoltaics , Rapid thermal annealing , Solar cells , Manufacturing , Thin films , Electron transport , Furnaces , High temperature

Study of Effect of Repetition Rate on Laser Shock Peening Using Finite Element Modeling

Sai Kosaraju, Xin Zhao

MSEC 2020; V002T06A041https://doi.org/10.1115/MSEC2020-8485

Abstract

View Articletitled, Study of Effect of Repetition Rate on Laser Shock Peening Using Finite Element Modeling

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Topics: Finite element analysis , Laser hardening , Modeling , Stress , Shock waves , Lasers , Metals , Compressive stress , Delays , Finite element model

Manufacturing Systems

Advances in Human Systems Integration and Intelligence Augmentation in Manufacturing Systems

MSEC: A Quantitative Retrospective

Thurston Sexton, Michael P. Brundage, Alden Dima, Michael Sharp

MSEC 2020; V002T07A001https://doi.org/10.1115/MSEC2020-8440

Abstract

View Articletitled, MSEC: A Quantitative Retrospective

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Topics: Dynamics (Mechanics) , Machining , Manufacturing , Manufacturing engineering , Manufacturing systems , Materials processing , Production systems optimization , Robotics

The Effect of Assembly Instructions and Part Organization on Assembly Time and Process Variation

Ethan Wescoat, Matthew Krugh, Gayathry Krishnan, Laine Mears

MSEC 2020; V002T07A002https://doi.org/10.1115/MSEC2020-8448

Abstract

View Articletitled, The Effect of Assembly Instructions and Part Organization on Assembly Time and Process Variation

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Topics: Manufacturing

Advances in Modeling, Analysis, and Simulation of Manufacturing Systems for Optimized Throughput and Performance

Inter-Cell Scheduling Optimization With Limited Transportation Capacities for Optimization of Vehicle Numbers

Qiong Liu, Qin Ye, Xu Mei

MSEC 2020; V002T07A003https://doi.org/10.1115/MSEC2020-8290

Abstract

View Articletitled, Inter-Cell Scheduling Optimization With Limited Transportation Capacities for Optimization of Vehicle Numbers

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Topics: Manufacturing cells , Optimization , Transportation systems , Vehicles , Manufacturing systems , Algorithms , Machinery , Manufacturing , Pareto optimization

Demand Response for Sustainable Manufacturing Systems Considering Buffer Content Utilization

Xue Zhou, Jing Zhao, Lingxiang Yun, Zeyi Sun, Lin Li

MSEC 2020; V002T07A004https://doi.org/10.1115/MSEC2020-8333

Abstract

View Articletitled, Demand Response for Sustainable Manufacturing Systems Considering Buffer Content Utilization

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Topics: Manufacturing , Manufacturing systems , Polishing equipment , Sustainability , Cycles , Decision making , Energy consumption , Energy efficiency , Governments , Profitability

Cognitive Manufacturing: Challenges, Technologies, and Applications

A Reconfigurable Jig Assistant Assembly System Based on Wearable Devices

Zhaojun Qin, Yuqian Lu, Hongbo Zhang, Xinyu Liu, Lianyu Zheng

MSEC 2020; V002T07A005https://doi.org/10.1115/MSEC2020-8234

Abstract

View Articletitled, A Reconfigurable Jig Assistant Assembly System Based on Wearable Devices

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Topics: Jigs and fixtures , Manufacturing

Design Framework for Preparing Workforce Towards Industry 4.0 Implementation in Small and Medium-Sized Enterprises

Sagil James, Anupam Shetty

MSEC 2020; V002T07A006https://doi.org/10.1115/MSEC2020-8380

Abstract

View Articletitled, Design Framework for Preparing Workforce Towards Industry 4.0 Implementation in Small and Medium-Sized Enterprises

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Topics: Design , Manufacturing , Data collection , Flow (Dynamics) , Internet of things , Manufacturing industry , Security , Trains

Human-in-Cognition Manufacturing-Loop (HCML): Framework and Technologies

Yanan Jiang, Yahui Liu, Jinsong Bao, Jie Li, Jie Zhang, Yunhao Fang

MSEC 2020; V002T07A007https://doi.org/10.1115/MSEC2020-8399

Abstract

View Articletitled, Human-in-Cognition Manufacturing-Loop (HCML): Framework and Technologies

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Topics: Machinery , Manufacturing

Digital Thread Enabled Manufacturing Automation Towards Mass Personalization

Akhilnandh Ramesh, Zhaojun Qin, Yuqian Lu

MSEC 2020; V002T07A008https://doi.org/10.1115/MSEC2020-8429

Abstract

View Articletitled, Digital Thread Enabled Manufacturing Automation Towards Mass Personalization

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Topics: Manufacturing , Manufacturing automation , Self-organization , Thread

Autonomous Manufacturing Using Machine Learning: A Computational Case Study With a Limited Manufacturing Budget

Md. Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle

MSEC 2020; V002T07A009https://doi.org/10.1115/MSEC2020-8472

Abstract

View Articletitled, Autonomous Manufacturing Using Machine Learning: A Computational Case Study With a Limited Manufacturing Budget

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Topics: Machine learning , Manufacturing , Algorithms , Design , Manufacturing systems , Acoustics , Phononic crystals , Spectra (Spectroscopy)

Collaborative Robotic Assembly: Challenges and Opportunities for the Manufacturing Industry

Detection Scheme of Volume of Repair of Engineering Equipment Based on Line Structured Light

Bowen Liu, Hong Lu, Zidong Wu, Shuo Li, Qiong Liu

MSEC 2020; V002T07A010https://doi.org/10.1115/MSEC2020-8237

Abstract

View Articletitled, Detection Scheme of Volume of Repair of Engineering Equipment Based on Line Structured Light

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Topics: Maintenance

Human-Robot Collaboration in Smart Manufacturing: Robot Reactive Behavior Intelligence

Matteo Lavit Nicora, Roberto Ambrosetti, Gloria J. Wiens, Irene Fassi

MSEC 2020; V002T07A011https://doi.org/10.1115/MSEC2020-8402

Abstract

View Articletitled, Human-Robot Collaboration in Smart Manufacturing: Robot Reactive Behavior Intelligence

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Topics: Collaboration , Image segmentation , Manufacturing , Robots , Control equipment , Human-robot interaction , Decision making , Safety

Robot-to-Robot Collaboration for Fixtureless Assembly: Challenges and Opportunities in the Automotive Industry

Miguel Saez, Patrick Spicer

MSEC 2020; V002T07A012https://doi.org/10.1115/MSEC2020-8460

Abstract

View Articletitled, Robot-to-Robot Collaboration for Fixtureless Assembly: Challenges and Opportunities in the Automotive Industry

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Topics: Automotive industry , Collaboration , Manufacturing , Robots , Geometry , Assembly lines , Cost benefit analysis , Project cost estimation

Cyber-Physical Systems and Cybersecurity in Industry 4.0

Advanced Sensing Development to Support Accuracy Assessment for Industrial Robot Systems

Guixiu Qiao, Jonathan Garner

MSEC 2020; V002T07A013https://doi.org/10.1115/MSEC2020-8281

Abstract

View Articletitled, Advanced Sensing Development to Support Accuracy Assessment for Industrial Robot Systems

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Topics: Maintenance , Robots

Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning

Eldar Shakirov, Kaitlyn Gee, Haden Quinlan, A. John Hart, Clement Fortin, Ighor Uzhinsky

MSEC 2020; V002T07A014https://doi.org/10.1115/MSEC2020-8308

Abstract

View Articletitled, Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning

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Topics: Additive manufacturing , Computer software , Modeling , Production facilities , Simulation , Mass production , Decision making , Lasers , Manufacturing , Melting

A Novel Edge Computing Based Architecture for Intelligent Tool Condition Monitoring

Rui Liu

MSEC 2020; V002T07A015https://doi.org/10.1115/MSEC2020-8499

Abstract

View Articletitled, A Novel Edge Computing Based Architecture for Intelligent Tool Condition Monitoring

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Topics: Calibration , Condition monitoring , Manufacturing

An Online Side Channel Monitoring Approach for Cyber-Physical Attack Detection of Additive Manufacturing

Chenang Liu, Chen Kan, Wenmeng Tian

MSEC 2020; V002T07A016https://doi.org/10.1115/MSEC2020-8503

Abstract

View Articletitled, An Online Side Channel Monitoring Approach for Cyber-Physical Attack Detection of Additive Manufacturing

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Topics: Additive manufacturing

Internet and Digital Twins Technology for Smart Manufacturing

A Stochastic Optimization Model for a Joint Pricing and Resource Allocation Problem

Qiunan Meng, Xun Xu

MSEC 2020; V002T07A017https://doi.org/10.1115/MSEC2020-8238

Abstract

View Articletitled, A Stochastic Optimization Model for a Joint Pricing and Resource Allocation Problem

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Topics: Optimization , Resource allocation , Simulation , Stochastic programming

Interval Multi-Objective Evolutionary Optimization for Disassembly Line Balancing With Uncertain Task Time

Yilin Fang, Hanke Zhang, Quan Liu, Zude Zhou, Bitao Yao, Duc Truong Pham

MSEC 2020; V002T07A018https://doi.org/10.1115/MSEC2020-8265

Abstract

View Articletitled, Interval Multi-Objective Evolutionary Optimization for Disassembly Line Balancing With Uncertain Task Time

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Topics: Optimization

Sequence-Dependent Robotic Disassembly Line Balancing Problem Considering Disassembly Path

Qinglian Chen, Bitao Yao, Duc Truong Pham

MSEC 2020; V002T07A019https://doi.org/10.1115/MSEC2020-8268

Abstract

View Articletitled, Sequence-Dependent Robotic Disassembly Line Balancing Problem Considering Disassembly Path

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Topics: Robotics , Algorithms , Robots , Cycles , Evolutionary algorithms , Gear pumps , Vickers hardness testing

Research on Intelligent Optimization Algorithm for Multi-Objective Disassembly Line Balancing Problem

Yunli Xu, Bitao Yao, Duc Truong Pham

MSEC 2020; V002T07A020https://doi.org/10.1115/MSEC2020-8269

Abstract

View Articletitled, Research on Intelligent Optimization Algorithm for Multi-Objective Disassembly Line Balancing Problem

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Topics: Algorithms , Optimization algorithms , Evolutionary algorithms , Manufacturing industry , Optimization , Robots

An Exposition of Recently Standardized Classifications of Information for Organizing Model-Based Definitions

Thomas Hedberg, Jr., Allison Barnard Feeney, Vijay Srinivasan

MSEC 2020; V002T07A021https://doi.org/10.1115/MSEC2020-8336

Abstract

View Articletitled, An Exposition of Recently Standardized Classifications of Information for Organizing Model-Based Definitions

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Topics: Information models

Knowledge Graph-Based Manufacturing Capability Service Optimal Selection for Industrial Cloud Robotics

Yanping Ma, Wenjun Xu, Sisi Tian, Jiayi Liu, Bitao Yao, Yang Hu, Hao Feng

MSEC 2020; V002T07A022https://doi.org/10.1115/MSEC2020-8351

Abstract

View Articletitled, Knowledge Graph-Based Manufacturing Capability Service Optimal Selection for Industrial Cloud Robotics

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Topics: Manufacturing , Robotics

Human Point Cloud Inpainting for Industrial Human-Robot Collaboration Using Deep Generative Model

Le Wang, Shengquan Xie, Wenjun Xu, Bitao Yao, Jia Cui, Quan Liu, Zude Zhou

MSEC 2020; V002T07A023https://doi.org/10.1115/MSEC2020-8353

Abstract

View Articletitled, Human Point Cloud Inpainting for Industrial Human-Robot Collaboration Using Deep Generative Model

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Topics: Collaboration , Robots

A Framework for Industrial Robot Training in Cloud Manufacturing With Deep Reinforcement Learning

Yongkui Liu, Junying Yao, Tingyu Lin, He Xu, Feng Shi, Yingying Xiao, Lin Zhang, Lihui Wang

MSEC 2020; V002T07A024https://doi.org/10.1115/MSEC2020-8355

Abstract

View Articletitled, A Framework for Industrial Robot Training in Cloud Manufacturing With Deep Reinforcement Learning

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Topics: Manufacturing , Reinforcement learning , Robots

Digital Twin Enabled Mass Personalization: A Case Study of a Smart Wetland Maintenance System

Shohin Aheleroff, Ray Y. Zhong, Xun Xu, Zhenan Feng, Pulkit Goyal

MSEC 2020; V002T07A025https://doi.org/10.1115/MSEC2020-8363

Abstract

View Articletitled, Digital Twin Enabled Mass Personalization: A Case Study of a Smart Wetland Maintenance System

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Topics: Maintenance , Augmented reality , Industrial research , Internet of things

Safety Strategy in the Smart Manufacturing System: A Human Robot Collaboration Case Study

Xi Vincent Wang, Lihui Wang

MSEC 2020; V002T07A026https://doi.org/10.1115/MSEC2020-8427

Abstract

View Articletitled, Safety Strategy in the Smart Manufacturing System: A Human Robot Collaboration Case Study

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Topics: Collaboration , Manufacturing systems , Robots , Safety

Prognostics and Health Management (PHM) Using IIoT, Data Analytics, and Artificial Intelligence

On Transfer Learning of Traditional Frequency and Time Domain Features in Turning

Melih C. Yesilli, Firas A. Khasawneh

MSEC 2020; V002T07A027https://doi.org/10.1115/MSEC2020-8274

Abstract

View Articletitled, On Transfer Learning of Traditional Frequency and Time Domain Features in Turning

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Topics: Accelerometers , Algorithms , Chatter , Cutting , Fast Fourier transforms , Machine learning , Manufacturing , Signal processing , Signals , Spectral energy distribution

A Broad Transfer Learning Algorithm for Classification of Bearing Faults

Guokai Liu, Liang Gao, Weiming Shen, Andrew Kusiak

MSEC 2020; V002T07A028https://doi.org/10.1115/MSEC2020-8312

Abstract

View Articletitled, A Broad Transfer Learning Algorithm for Classification of Bearing Faults

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Topics: Algorithms , Bearings , Fault diagnosis , Condition monitoring , Manufacturing industry

Fault Diagnosis of Timed Event Systems: An Exploration of Machine Learning Methods

Joseph Cohen, Baoyang Jiang, Jun Ni

MSEC 2020; V002T07A029https://doi.org/10.1115/MSEC2020-8360

Abstract

View Articletitled, Fault Diagnosis of Timed Event Systems: An Exploration of Machine Learning Methods

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Topics: Fault diagnosis , Machine learning , Principal component analysis , Programmable controllers , Algorithms , Signals , Artificial neural networks , Failure , Integrated circuit fabrication , Manufacturing

High Precision Tracking of Roll-to-Roll Manufacturing Processes

Zhiyi Chen, Baoyang Jiang, Jun Ni

MSEC 2020; V002T07A030https://doi.org/10.1115/MSEC2020-8392

Abstract

View Articletitled, High Precision Tracking of Roll-to-Roll Manufacturing Processes

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Topics: Control equipment , Manufacturing , Predictive control , Quadratic programming , Robustness , Rollers , Simulation , Stability , Tension , Uncertainty

Class Incremental Fault Detection and Diagnosis With Unlabeled Condition Monitoring Data

Xiaomeng Peng, Xiaoning Jin, Shiming Duan, Chaitanya Sankavaram

MSEC 2020; V002T07A031https://doi.org/10.1115/MSEC2020-8431

Abstract

View Articletitled, Class Incremental Fault Detection and Diagnosis With Unlabeled Condition Monitoring Data

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Topics: Condition monitoring , Flaw detection

Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser-Based Additive Manufacturing

Qi Tian, Shenghan Guo, Weihong Guo, Linkan Bian

MSEC 2020; V002T07A032https://doi.org/10.1115/MSEC2020-8468

Abstract

View Articletitled, Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser-Based Additive Manufacturing

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Topics: Additive manufacturing , Data fusion , Lasers , Porosity

Verification of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation

Brian A. Weiss, Jared Kaplan

MSEC 2020; V002T07A033https://doi.org/10.1115/MSEC2020-8484

Abstract

View Articletitled, Verification of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation

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Topics: Manufacturing , Robots , Sensors

Machine Learning Based Novelty Detection Methods for Progressive Stamping Process Health Monitoring

Tianchen Qiu, Xingjian Lai, Jun Ni

MSEC 2020; V002T07A034https://doi.org/10.1115/MSEC2020-8496

Abstract

View Articletitled, Machine Learning Based Novelty Detection Methods for Progressive Stamping Process Health Monitoring

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Topics: Machine learning , Machinery , Metal stamping , Support vector machines

Quality Assurance in Additive Manufacturing Systems: Sensing, Analytics, and Control

Simultaneous Material Microstructure Classification and Discovery via Hidden Markov Modeling of Acoustic Emission Signals

Xinyu Zhao, Ashif Iquebal, Huifeng Sun, Hao Yan

MSEC 2020; V002T07A035https://doi.org/10.1115/MSEC2020-8454

Abstract

View Articletitled, Simultaneous Material Microstructure Classification and Discovery via Hidden Markov Modeling of Acoustic Emission Signals

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Topics: Acoustic emissions , Modeling , Signals , Additive manufacturing , Lithography , Materials properties , Probability , Probes , Resolution (Optics)

DEM As a Tool for Optimizing Powder Metallurgy Processes

Dhanooj Bobba, Seyed A. Tabei, Miguel Pando, Harish P. Cherukuri

MSEC 2020; V002T07A036https://doi.org/10.1115/MSEC2020-8457

Abstract

View Articletitled, DEM As a Tool for Optimizing Powder Metallurgy Processes

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Topics: Discrete element methods , Powder metallurgy , Vibration

Smart Manufacturing System Modeling and Decision Making

Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection

Jiayu Huang, Nurretin Sergin, Akshay Dua, Erfan Bank Tavakoli, Hao Yan, Fengbo Ren, Feng Ju

MSEC 2020; V002T07A037https://doi.org/10.1115/MSEC2020-8261

Abstract

View Articletitled, Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection

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Topics: Artificial neural networks , Inspection , Algorithms , Flaw detection , Machine learning , Manufacturing systems , Support vector machines , Visualization

Smart Agent-Based Priority Dispatching Rules for Job Shop Scheduling in a Furniture Manufacturing Workshop

Hao Wang, Tao Peng, Renzhong Tang, Wei Qin

MSEC 2020; V002T07A038https://doi.org/10.1115/MSEC2020-8263

Abstract

View Articletitled, Smart Agent-Based Priority Dispatching Rules for Job Shop Scheduling in a Furniture Manufacturing Workshop

PDF

Topics: Machine shops , Manufacturing , Workshops (Work spaces)

Data-Enabled Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems With Quality Rework

Cheng Zhu, Tian Yu, Qing Chang, Jorge Arinez

MSEC 2020; V002T07A039https://doi.org/10.1115/MSEC2020-8295

Abstract

View Articletitled, Data-Enabled Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems With Quality Rework

PDF

Topics: Manufacturing systems , Modeling , Performance evaluation , Assembly lines , Cycles , Maintenance , Manufacturing , Mass production , Product quality

A Novel Real-Time Thermal Analysis and Layer Time Control Framework for Large Scale Additive Manufacturing

Sepehr Fathizadan, Feng Ju, Kyle Rowe, Alex Fiechter, Nils Hofmann

MSEC 2020; V002T07A040https://doi.org/10.1115/MSEC2020-8321

Abstract

View Articletitled, A Novel Real-Time Thermal Analysis and Layer Time Control Framework for Large Scale Additive Manufacturing

PDF

Topics: Additive manufacturing , Thermal analysis , Printing , Temperature , Cooling , Dynamics (Mechanics) , Heat conduction , Heat transfer , Image processing , Imaging

Order Fulfilment Progress Estimation for Collaborative Manufacturing Enabled by Industrial Internet of Things

Chen Peng, Zheng Zhang, Tao Peng, Renzhong Tang, Xiaoliang Zhao

MSEC 2020; V002T07A041https://doi.org/10.1115/MSEC2020-8387

Abstract

View Articletitled, Order Fulfilment Progress Estimation for Collaborative Manufacturing Enabled by Industrial Internet of Things

PDF

Topics: Internet of things , Manufacturing

Understanding and Evaluating Naive Diagnostics Algorithms Applicable in Multistage Manufacturing From a Risk Management Perspective

Mehdi Dadfarnia, Michael Sharp, Timothy Sprock

MSEC 2020; V002T07A042https://doi.org/10.1115/MSEC2020-8430

Abstract

View Articletitled, Understanding and Evaluating Naive Diagnostics Algorithms Applicable in Multistage Manufacturing From a Risk Management Perspective

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Topics: Algorithms , Manufacturing , Risk management

Nano/Micro/Meso Manufacturing

Advances in Micro and Nano Manufacturing

Molecular Dynamics Study on the Machining of Titanium

Ayan Bhattacharya, Xueping Zhang, Rajiv Shivpuri

MSEC 2020; V002T08A001https://doi.org/10.1115/MSEC2020-8220

Abstract

View Articletitled, Molecular Dynamics Study on the Machining of Titanium

PDF

Topics: Machining , Molecular dynamics , Nanoscale phenomena , Titanium

Energy Consideration in the Micro-Extrusion of Aluminum Alloy 6063

Sedthawatt Sucharitwatskul, Numpon Mahayotsanun, Sujin Bureerat, Kuniaki Dohda

MSEC 2020; V002T08A002https://doi.org/10.1115/MSEC2020-8225

Abstract

View Articletitled, Energy Consideration in the Micro-Extrusion of Aluminum Alloy 6063

PDF

Topics: Aluminum alloys , Energy consumption , Extruding , Finite element analysis

Generation of Surfaces With Isotropic and Anisotropic Wetting Properties by Curved Water Jet Guided Laser Micro-Machining

Yi Shi, Jian Cao, Kornel F. Ehmann

MSEC 2020; V002T08A003https://doi.org/10.1115/MSEC2020-8230

Abstract

View Articletitled, Generation of Surfaces With Isotropic and Anisotropic Wetting Properties by Curved Water Jet Guided Laser Micro-Machining

PDF

Topics: Anisotropy , Lasers , Micromachining , Water , Wetting

Model and Simulation of Laser Pulse Absorption in Laser-Induced Plasma Micro-Machining (LIPMM)

Jiaxi Xie, Kornel Ehmann, Jian Cao

MSEC 2020; V002T08A004https://doi.org/10.1115/MSEC2020-8242

Abstract

View Articletitled, Model and Simulation of Laser Pulse Absorption in Laser-Induced Plasma Micro-Machining (LIPMM)

PDF

Topics: Absorption , Finite difference time-domain analysis , Lasers , Micromachining , Plasmas (Ionized gases) , Simulation

Molecular Dynamic Simulation of Micro-Structured Diamond Tool in Silicon Carbide Cutting

Changlin Liu, Jianning Chu, Jinyang Ke, Xiao Chen, Jianguo Zhang, Junfeng Xiao, Jianfeng Xu

MSEC 2020; V002T08A005https://doi.org/10.1115/MSEC2020-8250

Abstract

View Articletitled, Molecular Dynamic Simulation of Micro-Structured Diamond Tool in Silicon Carbide Cutting

PDF

Topics: Cutting , Diamond tools , Molecular dynamics , Silicon , Simulation

Exploration of Finishing Capability of Developed Polishing Tool in Hybrid Magnetic Field Assisted Finishing Process to Finish Complex Freeform Surfaces of Femoral Component of Prosthetic Knee Joint

Anwesa Barman, Manas Das

MSEC 2020; V002T08A006https://doi.org/10.1115/MSEC2020-8271

Abstract

View Articletitled, Exploration of Finishing Capability of Developed Polishing Tool in Hybrid Magnetic Field Assisted Finishing Process to Finish Complex Freeform Surfaces of Femoral Component of Prosthetic Knee Joint

PDF

Topics: Artificial limbs , Finishes , Finishing , Fluids , Knee , Knee joint prostheses , Magnetic fields , Polishing , Titanium alloys

Experimental Investigation of Electrochemical Micro Turning of Ti6Al4V With NaOH Solution

Arnab Das, Deepak Kumar, Mohan Kumar, Vivek Bajpai

MSEC 2020; V002T08A007https://doi.org/10.1115/MSEC2020-8275

Abstract

View Articletitled, Experimental Investigation of Electrochemical Micro Turning of Ti6Al4V With NaOH Solution

PDF

Topics: Aerospace industry , Biomedicine , Electrodes , Electrolytes , Finishes , Machinery , Machining , Optimization , Surface roughness , Turning

Tip Induced Growth of Zinc Oxide Nanoflakes Through Electrochemical Discharge Deposition Process and Their Optical Characterization

Deepak Kumar, Harish Bishwakarma, Mohan Kumar, Nirmal Kumar Singh, Vivek Bajpai

MSEC 2020; V002T08A008https://doi.org/10.1115/MSEC2020-8283

Abstract

View Articletitled, Tip Induced Growth of Zinc Oxide Nanoflakes Through Electrochemical Discharge Deposition Process and Their Optical Characterization

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Topics: Computer software , Electron field emission , Electron microscopy , Energy gap , Excitation , Image processing , Infrared spectroscopy , Nanomaterials , Nanostructures , Scanning electron microscopy

Uniaxial High-Speed Micro-Scale 3D Surface Topographical Measurements Using Fringe Projection

Yi Zheng, Beiwen Li

MSEC 2020; V002T08A009https://doi.org/10.1115/MSEC2020-8303

Abstract

View Articletitled, Uniaxial High-Speed Micro-Scale 3D Surface Topographical Measurements Using Fringe Projection

PDF

Topics: Additive manufacturing , Coordinate measuring machines , Corrective actions , Damage , Geometry , Hinges , Inspection , Lasers , Manufacturing , Metrology

Fabrication and Characterization of Conical Micro Dimple Textures on Ti6Al4V for Higher Biocompatibility

Ankit Jain, Suresh Kumar Yatirajula, Vivek Bajpai

MSEC 2020; V002T08A010https://doi.org/10.1115/MSEC2020-8342

Abstract

View Articletitled, Fabrication and Characterization of Conical Micro Dimple Textures on Ti6Al4V for Higher Biocompatibility

PDF

Topics: Biocompatibility , Hydrophilicity , Manufacturing , Surface roughness , Texture (Materials) , Shapes , Adhesion , Micromachining , Density , Electron field emission

Enhancing Conductivity in 3D Bulk-Embedded Electronics

Md. Naim Jahangir, Jeremy Cleeman, Rajiv Malhotra

MSEC 2020; V002T08A011https://doi.org/10.1115/MSEC2020-8361

Abstract

View Articletitled, Enhancing Conductivity in 3D Bulk-Embedded Electronics

PDF

Topics: Additive manufacturing , Damage , Electrical conductivity , Electronics , Sintering , Thermal conductivity

Analytical Investigation of Varying Deformation Paths Using Microtube Inflation and Axial Tension

Elizabeth M. Mamros, Brad L. Kinsey, Yannis P. Korkolis

MSEC 2020; V002T08A012https://doi.org/10.1115/MSEC2020-8372

Abstract

View Articletitled, Analytical Investigation of Varying Deformation Paths Using Microtube Inflation and Axial Tension

PDF

Topics: Deformation , Micromanufacturing , Stainless steel , Stress , Tension

Mechanism of Debris Ejection in Atomized Dielectric-Based Electrical Discharge Machining

Asif Tanveer, S. G. Kapoor

MSEC 2020; V002T08A013https://doi.org/10.1115/MSEC2020-8425

Abstract

View Articletitled, Mechanism of Debris Ejection in Atomized Dielectric-Based Electrical Discharge Machining

PDF

Topics: Electrical discharge machining , Sprays

Fabrication of Optical Fiber Sensors Based on Femtosecond Laser Micro Machining

Fengfeng Zhou, Seunghwan Jo, Xingyu Fu, Martin Byung-Guk Jun, Jung-Ting Tsai

MSEC 2020; V002T08A014https://doi.org/10.1115/MSEC2020-8426

Abstract

View Articletitled, Fabrication of Optical Fiber Sensors Based on Femtosecond Laser Micro Machining

PDF

Topics: Fiber optic sensors , Lasers , Manufacturing , Micromachining

Fabrication of Electrically Conductive Patterns on ABS Polymer Using Low-Pressure Cold Spray and Electroless Plating

Semih Akin, Martin Byung-Guk Jun, Jung-Ting Tsai, MinSoo Park, Young Hun Jeong

MSEC 2020; V002T08A015https://doi.org/10.1115/MSEC2020-8437

Abstract

View Articletitled, Fabrication of Electrically Conductive Patterns on ABS Polymer Using Low-Pressure Cold Spray and Electroless Plating

PDF

Topics: Electroless plating , Manufacturing , Polymers , Pressure , Sprays

A Study on Micro-Milling Process of Multi-Directional Carbon Fiber Reinforced Plastic Composite Using Nano-Solid Dry Lubrication

Jin Woo Kim, Jungsoo Nam, Jaehun Jeon, Sang Won Lee

MSEC 2020; V002T08A016https://doi.org/10.1115/MSEC2020-8458

Abstract

View Articletitled, A Study on Micro-Milling Process of Multi-Directional Carbon Fiber Reinforced Plastic Composite Using Nano-Solid Dry Lubrication

PDF

Topics: Carbon reinforced plastics , Composite materials , Graphene , Lubrication , Micromilling , Multi-walled carbon nanotubes

Structrual Coloration of Surfaces With Microstructures Replicated by Non-Isothermal Precision Glass Molding

Yong Zhong, Ruxu Du, Lin Zhang, Allen Y. Yi

MSEC 2020; V002T08A017https://doi.org/10.1115/MSEC2020-8467

Abstract

View Articletitled, Structrual Coloration of Surfaces With Microstructures Replicated by Non-Isothermal Precision Glass Molding

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Topics: Glass , Molding , Periodic structures

Design and Evaluation of Human-Machine Interface for NEXUS: A Custom Microassembly System

Danming Wei, Mariah B. Hall, Andriy Sherehiy, Sumit Kumar Das, Dan O. Popa

MSEC 2020; V002T08A018https://doi.org/10.1115/MSEC2020-8477

Abstract

View Articletitled, Design and Evaluation of Human-Machine Interface for NEXUS: A Custom Microassembly System

PDF

Topics: Design , Machinery , Microassembling

Laser Sharpening of Carbon Fiber Microelectrode Arrays for Brain Recording

Tianshu Dong, Lei Chen, Albert Shih

MSEC 2020; V002T08A019https://doi.org/10.1115/MSEC2020-8479

Abstract

View Articletitled, Laser Sharpening of Carbon Fiber Microelectrode Arrays for Brain Recording

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Topics: Brain , Carbon fibers , Lasers , Sharpening

Determination of Modal Parameters Using Finite Element Modeling Considering the Compliance at the Clamping End

Aditya Saraf, Rinku K. Mittal, Ramesh K. Singh

MSEC 2020; V002T08A020https://doi.org/10.1115/MSEC2020-8488

Abstract

View Articletitled, Determination of Modal Parameters Using Finite Element Modeling Considering the Compliance at the Clamping End

PDF

Topics: Dynamics (Mechanics) , Finite element analysis , Micromilling , Modeling

Multi-Objective Optimization of Wire Electrical Discharge Machined Ultra-Thin Silicon Wafers Using Response Surface Methodology for Solar Cell Applications

Pinal Rana, Divyanshu Bhartiya, Meinam Annebushan Singh, Deepak Marla

MSEC 2020; V002T08A021https://doi.org/10.1115/MSEC2020-8489

Abstract

View Articletitled, Multi-Objective Optimization of Wire Electrical Discharge Machined Ultra-Thin Silicon Wafers Using Response Surface Methodology for Solar Cell Applications

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Topics: Composite materials , Electrical discharge machining , Pareto optimization , Response surface methodology , Semiconductor wafers , Solar cells , Wire

OF-NET: Deep-Learning Based Sub-Pixel Optical Flow Estimation With Multi-Scale Convolutional Neural Network

Ru Yang, Ping Guo

MSEC 2020; V002T08A022https://doi.org/10.1115/MSEC2020-8517

Abstract

View Articletitled, OF-NET: Deep-Learning Based Sub-Pixel Optical Flow Estimation With Multi-Scale Convolutional Neural Network

PDF

Topics: Artificial neural networks , Displacement , Flow (Dynamics)

Accuracy Analysis of the Micro Machine Tool With Co-Planar Driving Mechanism

Shih-Ming Wang, Zhe-Zhi Ye, Hariyanto Gunawan

MSEC 2020; V002T08A023https://doi.org/10.1115/MSEC2020-8520

Abstract

View Articletitled, Accuracy Analysis of the Micro Machine Tool With Co-Planar Driving Mechanism

PDF

Topics: Error analysis , Errors , Machine tools , Resolution (Optics)

Tool-Based Micro/Nano Machining: Development of Innovative Machine and Machining Processes

Mustafizur Rahman, Keng Soon Woon, Wee Keong Neo

MSEC 2020; V002T08A024https://doi.org/10.1115/MSEC2020-8580

Abstract

View Articletitled, Tool-Based Micro/Nano Machining: Development of Innovative Machine and Machining Processes

PDF

Topics: Machinery , Machining , Finishes , Micromachining , Cutting tools , Machine tools , Manufacturing , Servomechanisms , Shapes , Biomedicine

Design and Manufacturing of Nano-to-Meso Porous Structures

Fabrication of Nanochannels Using Glancing Angle Deposition With Line Seeds

Chuang Qu, Dilan Ratnayake, Bruce Alphenaar, Shamus McNamara, Kevin Walsh

MSEC 2020; V002T08A025https://doi.org/10.1115/MSEC2020-8450

Abstract

View Articletitled, Fabrication of Nanochannels Using Glancing Angle Deposition With Line Seeds

PDF

Topics: Manufacturing , Nanochannels , Nanofluidics

Design and Manufacturing of Lattice Structure Using Extrusion-Based Additive Manufacturing

Adeeb Alam, Abu Shovon, Nazmul Ahsan, Ahasan Habib, Bashir Khoda

MSEC 2020; V002T08A026https://doi.org/10.1115/MSEC2020-8504

Abstract

View Articletitled, Design and Manufacturing of Lattice Structure Using Extrusion-Based Additive Manufacturing

PDF

Topics: Additive manufacturing , Design , Extruding , Manufacturing

Quality and Reliability

Advances in Quality and Continuous Improvement in Manufacturing Development and Execution

A Simplified Approach to Tolerance Verifications for Cylindrical Surfaces Using Point-Set Data

Hua-Wei Ko, Shiv G. Kapoor, Placid M. Ferreira

MSEC 2020; V002T09A001https://doi.org/10.1115/MSEC2020-8254

Abstract

View Articletitled, A Simplified Approach to Tolerance Verifications for Cylindrical Surfaces Using Point-Set Data

PDF

Topics: Cylinders , Fittings , Machining , Particle swarm optimization

Sketch-Based Tensor Decomposition for Non-Parametric Monitoring of Electrospinning Processes

Luis Javier Segura, Christian Narváez Muñoz, Chi Zhou, Hongyue Sun

MSEC 2020; V002T09A002https://doi.org/10.1115/MSEC2020-8367

Abstract

View Articletitled, Sketch-Based Tensor Decomposition for Non-Parametric Monitoring of Electrospinning Processes

PDF

Topics: Biomaterials , Electrospinning , Quality control charts , Tensors

Localized Acoustic-Event Measurement Probe: Connector Confirmation Utilizing Acoustic Signatures

Brian Skoglind, Travis Roberts, Sourabh Karmakar, Cameron Turner, Laine Mears

MSEC 2020; V002T09A003https://doi.org/10.1115/MSEC2020-8446

Abstract

View Articletitled, Localized Acoustic-Event Measurement Probe: Connector Confirmation Utilizing Acoustic Signatures

PDF

Topics: Acoustics , Manufacturing , Probes

Packaging Electronics on Textiles: Identifying Fiber Junctions for Automated Placement

Sushmita Challa, Cindy Harnett

MSEC 2020; V002T09A004https://doi.org/10.1115/MSEC2020-8456

Abstract

View Articletitled, Packaging Electronics on Textiles: Identifying Fiber Junctions for Automated Placement

PDF

Topics: Electronics , Fibers , Image processing , Junctions , Packaging , Textiles

Vision-Based Precision Deburring and Edge Breaking Process Quality Control

Kartik Gupta, Cindy Grimm, Burak Sencer, Ravi Balasubramanian

MSEC 2020; V002T09A005https://doi.org/10.1115/MSEC2020-8493

Abstract

View Articletitled, Vision-Based Precision Deburring and Edge Breaking Process Quality Control

PDF

Topics: Computers , Deburring , Quality control , Calibration , Geometry , Aluminum , Computer-aided design , Hardware , Lenses (Optics) , Optical quality control

Reliability Engineering and System Safety in Advanced Manufacturing

Improved Local Mean Decomposition for Vibration-Based Machinery Fault Diagnosis

Lingyan Wang, Hong Lu, Yu Qiao, Wan Wu, Le Li, Qiong Liu, Shaojun Wang

MSEC 2020; V002T09A006https://doi.org/10.1115/MSEC2020-8236

Abstract

View Articletitled, Improved Local Mean Decomposition for Vibration-Based Machinery Fault Diagnosis

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Topics: Fault diagnosis , Machinery , Rotors , Signals , Time-frequency analysis , Vibration

The Impact of Material Aging on Stereolithography Reliability: An Experimental Study

Jing Zhao, Yiran Yang, Lin Li

MSEC 2020; V002T09A007https://doi.org/10.1115/MSEC2020-8313

Abstract

View Articletitled, The Impact of Material Aging on Stereolithography Reliability: An Experimental Study

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Topics: Additive manufacturing , Reliability , Stereolithography

Study of Aging Heat Treatment Parameters for 7050 and 7075 Aluminum Alloys

Sagil James, Ambarneil Roy

MSEC 2020; V002T09A008https://doi.org/10.1115/MSEC2020-8348

Abstract

View Articletitled, Study of Aging Heat Treatment Parameters for 7050 and 7075 Aluminum Alloys

PDF

Topics: Aluminum alloys , Heat treating (Metalworking) , Mechanical properties

Structural Nonlinearity of Robotic Machining Systems

Yaser Mohammadi, Keivan Ahmadi

MSEC 2020; V002T09A009https://doi.org/10.1115/MSEC2020-8452

Abstract

View Articletitled, Structural Nonlinearity of Robotic Machining Systems

PDF

Topics: Machining , Robotics , Vibration , Dynamic response , Robots , Chatter , Computer numerical control machine tools , Cutting tools , Dynamics (Mechanics) , Excitation

Multi-Extrusion Additive Manufacturing for Error Compensation: A Demonstrative Case Study

Chen Kan, Zehao Ye, Yiran Yang, Lei Di, Deep Shah, Dhairya Shah

MSEC 2020; V002T09A010https://doi.org/10.1115/MSEC2020-8497

Abstract

View Articletitled, Multi-Extrusion Additive Manufacturing for Error Compensation: A Demonstrative Case Study

PDF

Topics: Additive manufacturing , Error compensation , Extruding , Printing , Quality control

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