Volumes | International Design Engineering Technical Conferences and Computers and Information in Engineering Conference | American Society of Mechanical Engineers Digital Collection

Topics: Algorithms , Computation , Computer simulation , Elasticity , Engineering simulation , Fiber reinforced composites , Foams (Chemistry) , Materials properties , Rotation , Simulation

Isogeometric Shape Optimization for Design Dependent Loads

Arkaprabho Pal, Sourav Rakshit

IDETC-CIE 2021; V002T02A003doi:https://doi.org/10.1115/DETC2021-70224

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Topics: Design , Pressure , Shape optimization , Stress

Development of Line-to-Line Contact Formulation for Continuum Beams

Babak Bozorgmehri, Marko K. Matikainen, Aki Mikkola

IDETC-CIE 2021; V002T02A004doi:https://doi.org/10.1115/DETC2021-70450

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Topics: Contact mechanics , Deformation , Equations of motion , Finite element analysis , Image segmentation , Robustness

AMS: Computational Multiphysics Applications

Coupled Electromagnetic and Thermoelastic Response of Conductive Materials Under Mechanical Loading and High Current Pulse Conditions

J. G. Michopoulos, A. P. Iliopoulos, J. C. Steuben, N. A. Apetre, S. Douglass, A. G. Lynn, R. L. Cairns, III

IDETC-CIE 2021; V002T02A005doi:https://doi.org/10.1115/DETC2021-71130

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Topics: Thermoelasticity , Construction , Electric current , Electromechanical systems , Heating , Joules , Materials properties , Modeling , Partial differential equations , Simulation results

AMS: Inverse Problems in Science and Engineering

Towards a Building Techniques of a BREP Model Starting From a Meshed Surface

Nessrine Elloumi, Aicha Ben Makhlouf, Borhen Louhichi, Dominique Deneux

IDETC-CIE 2021; V002T02A006doi:https://doi.org/10.1115/DETC2021-71724

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Topics: Algorithms , Augmented reality , Biomedicine , Computer software , Computer-aided design , Computers , Engineers , Finite element analysis , Geometry , Manufacturing

AMS: Material Characterization Methods and Applications

The Importance of the Mode II Term on the Analysis of Angled Cracks in Unidirectional Carbon Fiber Composites

Jacob Biddlecom, Garrett J. Pataky

IDETC-CIE 2021; V002T02A007doi:https://doi.org/10.1115/DETC2021-67236

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Topics: Carbon fibers , Composite materials , Displacement , Fracture (Materials)

AMS: Uncertainty Quantification in Simulation and Model Verification & Validation

Scalable³-BO: Big Data Meets HPC - A Scalable Asynchronous Parallel High-Dimensional Bayesian Optimization Framework on Supercomputers

Anh Tran

IDETC-CIE 2021; V002T02A008doi:https://doi.org/10.1115/DETC2021-70828

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Topics: Optimization , Clocks , Simulation

AMS/CAPPD: Digital Twin: Advanced Human Modeling and Simulation

Optimized Torque Assistance During Walking With an Idealized Hip Exoskeleton

Neethan Ratnakumar, Xianlian Zhou

IDETC-CIE 2021; V002T02A009doi:https://doi.org/10.1115/DETC2021-71376

Abstract

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Topics: Exoskeleton devices , Torque

Design Human-Robot Collaborative Lifting Task Using Optimization

Asif Arefeen, Yujiang Xiang

IDETC-CIE 2021; V002T02A010doi:https://doi.org/10.1115/DETC2021-71818

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Topics: Design , Optimization , Robots

CAPPD: Computational Fabrication for Product Design and Development

Computational Design and 3D Weaving of 2D-Printable Conformal Flexible Electronics Using Harmonic Foliation Theory

Qian Ye, Yang Guo, Xianfeng David Gu, Shikui Chen

IDETC-CIE 2021; V002T02A011doi:https://doi.org/10.1115/DETC2021-67811

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Topics: Design , Flexible electronics , Circuits , Printing , Aerospace industry , Circuit design , Computer numerical control machine tools , Electronic circuits , Electronics , Geometry

Functionally Graded Non-Periodic Cellular Structure Design Using a Surrogate Model-Based Optimization Scheme

Jun Wang, Jida Huang

IDETC-CIE 2021; V002T02A012doi:https://doi.org/10.1115/DETC2021-71678

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Topics: Design , Optimization , Simulation , Finite element analysis , Materials properties , Mechanical properties , Microscale devices , Product design , Topology , Weight (Mass)

CAPPD: Computer-Aided Product and Process Development (CAPPD General)

Testing and Validation of a Custom CAD Tool to Support Design for Manufacturing: An Experimental Study

Apurva Patel, Joshua D. Summers, Akash Patel, James L. Mathieson, Michael P. Sbarra, Joshua Ortiz

IDETC-CIE 2021; V002T02A013doi:https://doi.org/10.1115/DETC2021-69820

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Topics: Computer-aided design , Design for Manufacturing , Feedback , Testing

Computationally Assisted Retrieval and Reuse of 3D Solid Models and Assembly Work Instructions

Rahul Sharan Renu, Gregory Mocko

IDETC-CIE 2021; V002T02A014doi:https://doi.org/10.1115/DETC2021-70480

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Topics: Manufacturing , Solid models , Algorithms , Change management , Design , Quality control , Semantics , Shapes , Text analytics , Three-dimensional models

Calibration of Parallel Kinematic Machine Based on Stewart Platform – A Literature Review

Sourabh Karmakar, Apurva Patel, Cameron J. Turner

IDETC-CIE 2021; V002T02A015doi:https://doi.org/10.1115/DETC2021-71619

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Topics: Calibration , Kinematics , Machinery

Evolutionary Grasp Planning for Sheet Metal Parts With Multi-Type Grippers

Jicmat Ali Tribaldos, Chiradeep Sen

IDETC-CIE 2021; V002T02A016doi:https://doi.org/10.1115/DETC2021-71632

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Topics: Genetic algorithms , Grippers , Sheet metal

Fast, Accurate, and Automated 3D Reconstruction Using a Depth Camera Mounted on an Industrial Robot

Rishi Malhan, Rex Jomy Joseph, Prahar M. Bhatt, Brual Shah, Satyandra K. Gupta

IDETC-CIE 2021; V002T02A017doi:https://doi.org/10.1115/DETC2021-71725

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Topics: Robots , Cycles , Calibration , Errors , Hardware , Manufacturing , Redundancy (Engineering) , Robot motion , Uncertainty

CAPPD: Digital Human Modelling for Design and Manufacturing

Identify Finger Rotation Angles With ArUco Markers and Action Cameras

Tianyun Yuan, Yu (Wolf) Song, Gerald A. Kraan, Richard H. M. Goossens

IDETC-CIE 2021; V002T02A018doi:https://doi.org/10.1115/DETC2021-71208

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Topics: Finger joints (Carpentry) , Rotation

Neurocognitive Effects of Incentivizing Students to Improve Performance Through Repeat Attempts in Design Settings

Devanshi Shah, Elisabeth Kames, Beshoy Morkos

IDETC-CIE 2021; V002T02A019doi:https://doi.org/10.1115/DETC2021-72058

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Topics: Design , Electroencephalography , Students , Sensors , Brain , Stress , Machinery , Regression analysis

CAPPD: Human-In-the Loop for Product Design, Training, and Manufacturing

Fatigue Detection for Human Aware Adaptation in Human-Robot Collaboration

Rakesh Suresh Kumar, Sri Sadhan Jujjavarapu, Lung Hao Lee, Ehsan T. Esfahani

IDETC-CIE 2021; V002T02A020doi:https://doi.org/10.1115/DETC2021-70975

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Topics: Collaboration , Fatigue , Robots , Muscle , Geometry , Sensors , Adaptive control , Engines , Motors , Robustness

The Human Error and Functional Failure Reasoning Framework: How Does It Scale?

Lukman Irshad, H. Onan Demirel, Irem Y. Tumer

IDETC-CIE 2021; V002T02A021doi:https://doi.org/10.1115/DETC2021-71839

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Topics: Errors , Failure , Risk assessment , Locomotives , Trains , Accidents , Design , Engineering simulation , Risk , Simulation

CAPPD: Product and Process Design Automation for Industry 4.0

Finding Features of Positioning Error for Large Industrial Robots Based on Convolutional Neural Network

Daiki Kato, Kenya Yoshitugu, Naoki Maeda, Toshiki Hirogaki, Eiichi Aoyama, Kenichi Takahashi

IDETC-CIE 2021; V002T02A022doi:https://doi.org/10.1115/DETC2021-68237

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Topics: Artificial neural networks , Errors , Robots

CIE: Artificial Intelligence and Machine Learning in Design and Manufacturing

Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network

Tingli Xie, Xufeng Huang, Seung-Kyum Choi

IDETC-CIE 2021; V002T02A023doi:https://doi.org/10.1115/DETC2021-67406

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Topics: Artificial neural networks , Data fusion , Fault diagnosis , Machinery , Sensors

Learning to Improve Performance During Non-Repetitive Tasks Performed by Robots

Yeo Jung Yoon, Satyandra K. Gupta

IDETC-CIE 2021; V002T02A024doi:https://doi.org/10.1115/DETC2021-67627

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Topics: Robots , Construction , Decision making , Experimental design , Optimization , Robotics , Simulation , Tradeoffs

Intelligent Design Prediction Aided by Non-Uniform Parametric Study and Machine Learning in Feature Based Product Development

Satchit Ramnath, Jiachen Ma, Jami J. Shah, Duane Detwiler

IDETC-CIE 2021; V002T02A025doi:https://doi.org/10.1115/DETC2021-67923

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Topics: Design , Machine learning , Product development , Finite element analysis , Algorithms , Engineers , Experimental design , Parametric design , Stress

Optimal Release Planning Using Machine Learning and Linear Integer Programming for Ideas in a Crowdsourcing Platform

Nour J. Absi-Halabi, Ali A. Yassine

IDETC-CIE 2021; V002T02A026doi:https://doi.org/10.1115/DETC2021-68177

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Topics: Crowdsourcing , Integer programming , Machine learning , Product development

Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data

Xingtong Yang, Ming Li, Liangchao Zhu, Weidong Zhong

IDETC-CIE 2021; V002T02A027doi:https://doi.org/10.1115/DETC2021-68487

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Topics: Artificial neural networks , Genetic algorithms , Optimization , Simulation , Topology

Data-Driven Design-by-Analogy: State of the Art

Shuo Jiang, Jie Hu, Jianxi Luo

IDETC-CIE 2021; V002T02A028doi:https://doi.org/10.1115/DETC2021-68669

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Topics: Artificial intelligence , Data-driven design , Design

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell

IDETC-CIE 2021; V002T02A029doi:https://doi.org/10.1115/DETC2021-68885

Abstract

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Topics: Additive manufacturing , Artificial neural networks , Image segmentation

In-Situ Laser-Based Process Monitoring and In-Plane Surface Anomaly Identification for Additive Manufacturing Using Point Cloud and Machine Learning

Jiaqi Lyu, Javid Akhavan Taheri Boroujeni, Souran Manoochehri

IDETC-CIE 2021; V002T02A030doi:https://doi.org/10.1115/DETC2021-69436

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Topics: Additive manufacturing , Lasers , Machine learning , Process monitoring

Hybrid Modeling of Melt Pool Geometry in Additive Manufacturing Using Neural Networks

Kevontrez Jones, Zhuo Yang, Ho Yeung, Paul Witherell, Yan Lu

IDETC-CIE 2021; V002T02A031doi:https://doi.org/10.1115/DETC2021-71266

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Topics: Additive manufacturing , Artificial neural networks , Finite element methods , Geometry , Modeling

Design Form and Function Prediction From a Single Image

Kristen M. Edwards, Vaishnavi L. Addala, Faez Ahmed

IDETC-CIE 2021; V002T02A032doi:https://doi.org/10.1115/DETC2021-71853

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Topics: Design , Aircraft , Machine learning , Machinery , Brain , Computational fluid dynamics , Computer simulation , Drag (Fluid dynamics) , Engineering prototypes , Engineering simulation

Deep Learning-Based Surrogate Modeling via Physics-Informed Artificial Image (PIAI) for Strongly Coupled Multidisciplinary Engineering Systems

Sungkun Hwang, Seung-Kyum Choi

IDETC-CIE 2021; V002T02A033doi:https://doi.org/10.1115/DETC2021-72099

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Topics: Engineering systems and industry applications , Metamodeling , Physics , Design , Simulation , Cantilever beams , Computer-aided design , Engineering design , Engineering disciplines , Filters

Sketch-Based Mechanism Simulation Using Machine Learning

Anar Nurizada, Anurag Purwar

IDETC-CIE 2021; V002T02A034doi:https://doi.org/10.1115/DETC2021-72149

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Topics: Linkages , Machine learning , Simulation

CIE: Cybersecurity in Design and Manufacturing

A Blockchain-Enabled Approach for Online Stream Sensor Data Protection in Cyber-Physical Manufacturing Systems

Zhangyue Shi, Chenang Liu, Chen Kan, Wenmeng Tian, Yang Chen

IDETC-CIE 2021; V002T02A035doi:https://doi.org/10.1115/DETC2021-72023

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Topics: Blockchain technology , Encryption , Manufacturing , Manufacturing systems , Security , Sensors

CIE: Design, Simulation, and Optimization for Additive Manufacturing

Topology Optimization of Self-Supported Enclosed Voids for Additive Manufacturing

Cunfu Wang

IDETC-CIE 2021; V002T02A036doi:https://doi.org/10.1115/DETC2021-68785

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Topics: Additive manufacturing , Optimization , Topology , Heat flux , Design , Density , Temperature , Heat conduction , Heat sinks , High temperature

Prediction of Melt Pool Geometry Using Deep Neural Networks

Fahad Ali Milaat, Zhuo Yang, Hyunwoong Ko, Albert T. Jones

IDETC-CIE 2021; V002T02A037doi:https://doi.org/10.1115/DETC2021-69259

Abstract

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Topics: Artificial neural networks , Geometry , Modeling

Generation of Continuous Toolpaths for Additive Manufacturing Using Implicit Slicing

J. C. Steuben, J. G. Michopoulos, A. P. Iliopoulos

IDETC-CIE 2021; V002T02A038doi:https://doi.org/10.1115/DETC2021-69320

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Topics: Additive manufacturing , Algorithms , Concretes , Extruding , Feedstock , Geometry , Hardware , Polymers , Roads , Sidewalks

An Algorithm for Partitioning Objects Into a Cube Skeleton and Segmented Shell Covers for Parallelized Additive Manufacturing

Wilson Li, Thomas Poozhikala, Mahmoud Dinar

IDETC-CIE 2021; V002T02A039doi:https://doi.org/10.1115/DETC2021-69326

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Topics: Additive manufacturing , Algorithms , Shells , Machinery , Manufacturing

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Recep M. Gorguluarslan, Gorkem Can Ates, O. Utku Gungor, Yusuf Yamaner

IDETC-CIE 2021; V002T02A040doi:https://doi.org/10.1115/DETC2021-69985

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Topics: Additive manufacturing , Artificial neural networks , Extruding , Struts (Engineering) , Uncertainty

Assessment of the Run-Out of an Intervertebral Cervical Cage Fabricated by Additive Manufacturing Using Electron Beam Melting

Filippo Cucinotta, Rosalia Mineo, Marcello Raffaele, Fabio Salmeri

IDETC-CIE 2021; V002T02A041doi:https://doi.org/10.1115/DETC2021-70241

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Topics: Additive manufacturing , Cathode ray oscilloscopes , Electron beams , Melting

Enabling Multi-Robot Cooperative Additive Manufacturing: Centralized vs. Decentralized Approaches

Saivipulteja Elagandula, Laxmi Poudel, Wenchao Zhou, Zhenghui Sha

IDETC-CIE 2021; V002T02A042doi:https://doi.org/10.1115/DETC2021-71343

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Topics: Additive manufacturing , Multi-robot systems , Robots

Design 3D Printed Coils for WPT

Jun Xu, E. (Zjenja) L. Doubrovski, Jo M. P. Geraedts, Yu (Wolf) Song

IDETC-CIE 2021; V002T02A043doi:https://doi.org/10.1115/DETC2021-71412

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Topics: Additive manufacturing , Design , Electronics , Shapes , Design methodology , Hull , Optimization , Printing

Classification of Dimensional Deviation in Additive Manufacturing LPBF Process for AlSi10Mg Alloy According to ISO 286 and ANSI B4.2

Sabrine Ben Amor, Floriane Zongo, Borhen Louhichi, Vladimir Brailovski, Antoine Tahan

IDETC-CIE 2021; V002T02A044doi:https://doi.org/10.1115/DETC2021-71683

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Topics: Additive manufacturing , Alloys , Engineering standards

Using Unsupervised Learning for Regulating Deposition Speed During Robotic Wire Arc Additive Manufacturing

Ashish Kulkarni, Prahar M. Bhatt, Alec Kanyuck, Satyandra K. Gupta

IDETC-CIE 2021; V002T02A045doi:https://doi.org/10.1115/DETC2021-71865

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Topics: Additive manufacturing , Robotics , Wire , Corners (Structural elements) , Metals , Trains , Dynamics (Mechanics) , Electric arcs , Failure , Geometry

Two-Scale Topology Optimization With Parameterized Cellular Structures

Sina Rastegarzadeh, Jun Wang, Jida Huang

IDETC-CIE 2021; V002T02A046doi:https://doi.org/10.1115/DETC2021-71980

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Topics: Optimization , Topology , Design , Resolution (Optics) , Stiffness , Structural optimization , Additive manufacturing , Elasticity , Engineering design , Manufacturing

SEIKM: Complex Systems Engineering and Design

Learning From Insects to Increase Multi-Agent System Resilience: Functional Decomposition and Transfer to Support Biologically Inspired Design

Isabella V. Hernandez, Bryan C. Watson, Marc Weissburg, Bert Bras

IDETC-CIE 2021; V002T02A047doi:https://doi.org/10.1115/DETC2021-67788

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Topics: Complex systems , Design , Multi-agent systems , Resilience

System Design Priority Order Considering Uncertainty in Early Stages

Takumi Kuroyanagi, Shuho Yamada, Shigeki Hiramatsu, Hiroshi Unesaki, Shuichi Kondo, Kazuhiro Aoyama

IDETC-CIE 2021; V002T02A048doi:https://doi.org/10.1115/DETC2021-68216

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Topics: Design , Uncertainty , Degrees of freedom , Hybrid electric vehicles , Preferences , Product development , Risk , Shapes , Tradeoffs

The Bus Factor in Conceptual System Design: Protecting a Design Process Against Major Regional and World Events

Douglas L. Van Bossuyt, Ryan M. Arlitt

IDETC-CIE 2021; V002T02A049doi:https://doi.org/10.1115/DETC2021-70476

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Topics: Design , Manufacturing , Delays , Diseases , Engineering design processes , Engineers , Renewable energy , Storage , Tariffs

SEIKM: Design Informatics

Genetic Algorithm-Based Clustering Method to Formulate Standard Specifications for Merchant Ship Preliminary Design

Chenwei Gui, Ranyi Zeng, Kenji Takahashi, Naoki Herai, Kazuhiro Aoyama

IDETC-CIE 2021; V002T02A050doi:https://doi.org/10.1115/DETC2021-69245

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Topics: Algorithms , Design , Ships

Fuzzy Evaluation of Kansei Attributes Using Convolutional Neural Networks

Wei Jiang, Kai Zhang, Wu Zhao, Xin Guo

IDETC-CIE 2021; V002T02A051doi:https://doi.org/10.1115/DETC2021-69567

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Topics: Artificial neural networks

Integrating Hedonic Quality for User Experience Modelling

Yanzhang Tong, Yan Liang, Ying Liu, Yulia Hicks, Irena Spasic

IDETC-CIE 2021; V002T02A052doi:https://doi.org/10.1115/DETC2021-69781

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Topics: Design , Modeling , Product design , Data collection , Q-factor , Reflection

Predicting Mechanical Properties of 3D Printed Lattice Structures

Shuai Ma, Qian Tang, Ying Liu, Qixiang Feng

IDETC-CIE 2021; V002T02A053doi:https://doi.org/10.1115/DETC2021-70249

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Topics: Additive manufacturing , Machine learning , Mechanical properties

Utilizing EEG to Explore the Mental States Involved in the Occurrence of Different Levels Design Fixation

Juan Cao, Wu Zhao, Xin Guo, Tingting Wu

IDETC-CIE 2021; V002T02A054doi:https://doi.org/10.1115/DETC2021-70913

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Topics: Design , Electroencephalography , Fatigue

SEIKM: Enabling Digital Technologies for Smart Product-Service System Development

A Hypergraph-Based Knowledge Representation Model for Smart Product-Service System Development

Wang Zuoxu, Li Xinyu, Chen Chun-Hsien, Zheng Pai

IDETC-CIE 2021; V002T02A055doi:https://doi.org/10.1115/DETC2021-66732

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Topics: Additive manufacturing , Manufacturing

Service Recommendation Based on Dynamic User Portrait: An Integrated Approach

Yuqi Tang, Shanshan Li, Wenyan Song, Caibo Zhou, Zixuan Niu

IDETC-CIE 2021; V002T02A056doi:https://doi.org/10.1115/DETC2021-68080

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Topics: Computers , Filtration , Internet , Preferences

Predicting the Material Removal Rate in Chemical Mechanical Planarization Process: A Hypergraph Neural Network-Based Approach

Liqiao Xia, Pai Zheng, Chao Liu

IDETC-CIE 2021; V002T02A057doi:https://doi.org/10.1115/DETC2021-68250

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Topics: Artificial neural networks , Manufacturing , Modeling , Physics , Semiconductor industry

Exploration of the Digital Innovation Process in the Smart Product-Service System

Haneen A. F. Saymeh, Xiangying Zhang, Tao Peng, Renzhong Tang, Zuoxu Wang, Pai Zheng

IDETC-CIE 2021; V002T02A058doi:https://doi.org/10.1115/DETC2021-70848

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Topics: Innovation

Research on Multi-Dimensional Information Service Oriented to Innovative Process Planning

Jun Li, Xin Guo, Wu Zhao

IDETC-CIE 2021; V002T02A059doi:https://doi.org/10.1115/DETC2021-71137

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Topics: Design , Production planning

SEIKM: Human System Integration

Orthopedic Bone-Drilling Assessment Through Laplacian-Based Trajectory Noise Characterization

Ronak R. Mohanty, Shantanu Vyas, Aman Nigam, Bruce L. Tai, Vinayak R. Krishnamurthy

IDETC-CIE 2021; V002T02A060doi:https://doi.org/10.1115/DETC2021-70654

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Topics: Bone , Drilling , Noise (Sound) , Orthopedics , Trajectories (Physics) , Surgery

SEIKM: Knowledge Capture, Reuse, and Management

Knowledge Discovery for Early Failure Assessment of Complex Engineered Systems Using Natural Language Processing

Sequoia R. Andrade, Hannah S. Walsh

IDETC-CIE 2021; V002T02A061doi:https://doi.org/10.1115/DETC2021-70694

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Topics: Failure , Natural language processing , Design , Databases , Failure mechanisms , Machinery , Modeling , Safety , Testing

Engineering Document Summarization Using Sentence Representations Generated by Bidirectional Language Model

Yunjian Qiu, Yan Jin

IDETC-CIE 2021; V002T02A062doi:https://doi.org/10.1115/DETC2021-70866

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Topics: Engineering design , Evaluation methods

SEIKM: Smart Manufacturing Informatics

A Novel Data Standards Platform Using the ISO Core Components Technical Specification

Nenad Ivezic, Boonserm Kulvatunyou, Elena Jelisic, Hakju Oh, Simon Frechette, Vijay Srinivasan

IDETC-CIE 2021; V002T02A063doi:https://doi.org/10.1115/DETC2021-68067

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Topics: Computer software , Manufacturing , Manufacturing industry , National Institute of Standards and Technology , Semantics , Supply chains

Prediction of Production Performance in Smart Manufacturing Using Multivariate Adaptive Regression Spline

Ping Chong Chua, Seung Ki Moon, Yen Ting Ng, Huey Yuen Ng

IDETC-CIE 2021; V002T02A064doi:https://doi.org/10.1115/DETC2021-69632

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Topics: Manufacturing , Splines

Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data

Kimia Zandbiglari, Farhad Ameri, Mohammad Javadi

IDETC-CIE 2021; V002T02A065doi:https://doi.org/10.1115/DETC2021-71308

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Topics: Manufacturing , Semantics , Text analytics , Modeling , Reliability

SEIKM: Systems Engineering

A Taxonomy for Model-Based Systems Engineering

João P. Monteiro, Paulo J. S. Gil, Rui M. Rocha

IDETC-CIE 2021; V002T02A066doi:https://doi.org/10.1115/DETC2021-69125

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Topics: Systems engineering

A Zero-Trust Methodology for Security of Complex Systems With Machine Learning Components

Britta Hale, Douglas L. Van Bossuyt, Nikolaos Papakonstantinou, Bryan O’Halloran

IDETC-CIE 2021; V002T02A067doi:https://doi.org/10.1115/DETC2021-70442

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Topics: Complex systems , Machine learning , Security , Defense industry , Unmanned aerial vehicles , Algorithms , Artificial neural networks , Decision making , Machinery , Safety

SEIKM: Systems Engineering Information Knowledge Management (SEIKM General)

Systems Thinking Assessment: A Method Through Computer Simulation

Ross D. Arnold, Jon P. Wade, Alparslan Emrah Bayrak

IDETC-CIE 2021; V002T02A068doi:https://doi.org/10.1115/DETC2021-68180

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Topics: Competencies , Computer simulation , Computer software , Design , Engineering education , Feedback , Regression analysis , Simulation , Students , System dynamics

In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing

Byeong-Min Roh, Soundar R. T. Kumara, Hui Yang, Timothy W. Simpson, Paul Witherell, Yan Lu

IDETC-CIE 2021; V002T02A069doi:https://doi.org/10.1115/DETC2021-70035

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Topics: Additive manufacturing , Metals , Ontologies , Quality management , Sensors

Logic Rules for Automated Synthesis of Function Models Using Evolutionary Algorithms

Amaninder Singh Gill, Chiradeep Sen

IDETC-CIE 2021; V002T02A070doi:https://doi.org/10.1115/DETC2021-70575

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Topics: Evolutionary algorithms , Genetic algorithms , Algorithms , Computer software , Flow (Dynamics) , Gases , Topology

Automatic Composition of Encoding Scheme and Search Operators in System Architecture Optimization

Gabriel Apaza, Daniel Selva

IDETC-CIE 2021; V002T02A071doi:https://doi.org/10.1115/DETC2021-71399

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Topics: Encryption , Optimization , System architecture , Algorithms , Control systems , Design , Navigation , Performance , Satellites

In-Process Data Fusion for Process Monitoring and Control of Metal Additive Manufacturing

Zhuo Yang, Yan Lu, Simin Li, Jennifer Li, Yande Ndiaye, Hui Yang, Sundar Krishnamurty

IDETC-CIE 2021; V002T02A072doi:https://doi.org/10.1115/DETC2021-71813

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Topics: Additive manufacturing , Data fusion , Metals , Process control , Process monitoring

VES: Interactive and Multisensory User Interfaces

Multisensory VR for Delivering Training Content to Machinery Operators

Monica Bordegoni, Marina Carulli, Elena Spadoni

IDETC-CIE 2021; V002T02A073doi:https://doi.org/10.1115/DETC2021-69974

Abstract

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Topics: Machinery , Virtual reality , Computer simulation , Design , Manufacturing , Safety

Gestural Interfaces to Support the Sketching Activities of Designers

Pierstefano Bellani, Marina Carulli, Giandomenico Caruso

IDETC-CIE 2021; V002T02A074doi:https://doi.org/10.1115/DETC2021-71233

Abstract

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Topics: Computer software , Computer-aided design , Conceptual design , Design , Shapes , Testing , Three-dimensional modeling , Three-dimensional models , Virtual reality