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Proceedings Papers

Brief Paper: Multi-Task Brain-Inspired Learning for Interlinking Machining Dynamics With Parts Geometrical Deviations

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Danny Hoang, Hanning Chen, Mohsen Imani, Ruimin Chen, Farhad Imani
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T05A012, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125435
https://doi.org/10.1115/MSEC2024-125435
View Paper titled, Brief Paper: Multi-Task Brain-Inspired Learning for Interlinking Machining Dynamics With Parts Geometrical Deviations
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Topics: Brain, Computers, Dynamics (Mechanics), Machining, Manufacturing, Computer numerical control machine tools, Product quality, Chatter, Machine learning, Surface roughness
Proceedings Papers

Deep Learning-Based Recognition of Manufacturing Components Using Augmented Reality for Worker Training of Assembly Tasks

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Sourabh Deshpande, Manish Raj Aryal, Sam Anand
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T07A007, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125279
https://doi.org/10.1115/MSEC2024-125279
View Paper titled, Deep Learning-Based Recognition of Manufacturing Components Using Augmented Reality for Worker Training of Assembly Tasks
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Topics: Augmented reality, Deep learning, Manufacturing, Engines, Artificial neural networks, Computer-aided design, Computers, Additive manufacturing, Algorithms, Artificial intelligence
Proceedings Papers

A Deep Reinforcement Learning Approach for Production Scheduling in Computer Server Industry

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Azzam Radman, Faisal Aqlan, Pratik Parikh, Md. Noor E. Alam
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T07A011, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-130310
https://doi.org/10.1115/MSEC2024-130310
View Paper titled, A Deep Reinforcement Learning Approach for Production Scheduling in Computer Server Industry
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Topics: Computers, Deep reinforcement learning
Proceedings Papers

A Study on Digital Twin for Autonomous Robotic Chip Removal Deep Learning Framework on CNC Machine

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Changheon Han, Hojun Lee, Jiho Lee, Martin Byung-Guk Jun, Huitaek Yun
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T02A003, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-124383
https://doi.org/10.1115/MSEC2024-124383
View Paper titled, A Study on Digital Twin for Autonomous Robotic Chip Removal Deep Learning Framework on CNC Machine
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Topics: Computer numerical control machine tools, Deep learning, Digital twin, Machinery, Robotics, Virtual reality, Algorithms, Machining, Computers, Coolants
Proceedings Papers

Digitalization of a Robot-Based Directed Energy Deposition Process for In-Situ Monitoring and Post-Process Data Analytics

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Frederic Cousin, Vishnuu Jothi Prakash, Julian Ulrich Weber, Ingomar Kelbassa
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A004, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-121979
https://doi.org/10.1115/MSEC2024-121979
View Paper titled, Digitalization of a Robot-Based Directed Energy Deposition Process for In-Situ Monitoring and Post-Process Data Analytics
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Topics: Robots, Sensors, Computer software, Databases, Storage, Software architecture, Additive manufacturing, Computers, Data collection, Data storage systems
Proceedings Papers

Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning

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Hao-Yu Liao, Yuhao Chen, Boyi Hu, Xiao Liang, Sara Behdad
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T04A007, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104792
https://doi.org/10.1115/MSEC2023-104792
View Paper titled, Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning
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Topics: Artificial neural networks, Electronics, Machine learning, Safety, Collaboration, Computers, Errors, Hazardous substances, Human-robot collaboration, Measurement units and standards
Proceedings Papers

Tracking and Visualization of Benchtop Assembly Components Using a RGBD Camera

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Yashwanth Maddipatla, Jiaqiong Li, Yi Zheng, Beiwen Li
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A006, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104622
https://doi.org/10.1115/MSEC2023-104622
View Paper titled, Tracking and Visualization of Benchtop Assembly Components Using a RGBD Camera
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Topics: Manufacturing, Visualization, Computers, Engines, Flow (Dynamics), Lidar, Machine learning, Matlab, Network models, Printed circuit boards
Proceedings Papers

Single Shot 3D Shape Measurement of Non-Volatile Data Storage Devices

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Badrinath Balasubramaniam, Beiwen Li
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A010, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104380
https://doi.org/10.1115/MSEC2023-104380
View Paper titled, Single Shot 3D Shape Measurement of Non-Volatile Data Storage Devices
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Topics: Data storage systems, Shapes, Disks, Electronics, Robotics, Computers, Manufacturing, Recycling, Building stone, Computer-aided design
Proceedings Papers

Utilizing Vision-Based Object Detection Algorithms in Recognizing Uncommon Operating Conditions for CNC Milling Machine

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Sahil J. Choudhari, Sujay B. J., Swarit Anand Singh, K. A. Desai
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T05A007, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105311
https://doi.org/10.1115/MSEC2023-105311
View Paper titled, Utilizing Vision-Based Object Detection Algorithms in Recognizing Uncommon Operating Conditions for CNC Milling Machine
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Topics: Algorithms, Computer numerical control machine tools, Image processing, Machinery, Machining centers, Graphical user interfaces, Internet of things, Artificial intelligence, Chatter, Computers
Proceedings Papers

A Human Robot Collaboration Framework for Assembly Tasks in High Mix Manufacturing Applications

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Neel Dhanaraj, Niraj Ganesh, Rohit Gurav, Minseok Jeon, Omey M. Manyar, Santosh Narayan, Jaehyun Park, Zhao Yu, Satyandra K. Gupta
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A011, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105271
https://doi.org/10.1115/MSEC2023-105271
View Paper titled, A Human Robot Collaboration Framework for Assembly Tasks in High Mix Manufacturing Applications
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Topics: Human-robot collaboration, Manufacturing, Robots, Computers, Design, Mass production, Path planning, Satellites, Sensors, Simulation
Proceedings Papers

Stroboscopic Data-Driven, Integrated, and Intelligent Machine Learning-Based Algorithms for Semiconductor Wafer Inspection

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Changheon Han, Heebum Chun, ChaBum Lee, Martin Byung-Guk Jun
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A003, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-101213
https://doi.org/10.1115/MSEC2023-101213
View Paper titled, Stroboscopic Data-Driven, Integrated, and Intelligent Machine Learning-Based Algorithms for Semiconductor Wafer Inspection
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Topics: Algorithms, Computers, Inspection, Intelligent machines, Machine learning, Manufacturing, Semiconductor wafers, Particulate matter, Machinery, Human factors
Proceedings Papers

Development and Evaluation of a Computer Vision System for Assembly Bolt Pattern Traceability and Poka-Yoke

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Eric Kozikowski, Nathan W. Hartman, Jorge D. Camba
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A023, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85678
https://doi.org/10.1115/MSEC2022-85678
View Paper titled, Development and Evaluation of a Computer Vision System for Assembly Bolt Pattern Traceability and Poka-Yoke
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Topics: Computers, Machinery, Manufacturing
Proceedings Papers

Process Mechanics – a Guide for Industry 4.0: Modelling Cutting of Nimonic 90 and Ti-6Al-4V

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W. Lortz, Radu Pavel
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A037, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85443
https://doi.org/10.1115/MSEC2022-85443
View Paper titled, Process Mechanics – a Guide for Industry 4.0: Modelling Cutting of Nimonic 90 and Ti-6Al-4V
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Topics: Cutting, Hardening, Modeling, Temperature, Deformation, Simulation, Stress, Alloys, Artificial intelligence, Computers
Proceedings Papers

Visualization Error Analysis for Augmented Reality Stereo Video See-Through Head-Mounted Displays in Industry 4.0 Applications

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Wenhao Yang, Yunbo Zhang
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A016, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85440
https://doi.org/10.1115/MSEC2022-85440
View Paper titled, Visualization Error Analysis for Augmented Reality Stereo Video See-Through Head-Mounted Displays in Industry 4.0 Applications
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Topics: Augmented reality, Error analysis, Visualization, Errors, Human-robot interaction, Calibration, Computers, Optics, Rendering, Toolpaths
Proceedings Papers

Research on Synchronous Control Strategy of Dual-Drive Feed System Based on Fuzzy PID Control

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Ben Wang, Hong Lu, Qi Liu, Shaojun Wang, Hengchen Pan, Jiashun Dai
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T04A006, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85458
https://doi.org/10.1115/MSEC2022-85458
View Paper titled, Research on Synchronous Control Strategy of Dual-Drive Feed System Based on Fuzzy PID Control
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Topics: Computer numerical control machine tools, Computers, Errors, Fuzzy control, Machine tools, Machining, Robustness, Servomechanisms, Simulation results, Stress
Proceedings Papers

A Deterministic Inspection of Surface Preparation for Metalization

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Shiva Shokri, Pooria Sedigh, Mehdi Hojjati, Tsz-Ho Kwok
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A014, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85334
https://doi.org/10.1115/MSEC2022-85334
View Paper titled, A Deterministic Inspection of Surface Preparation for Metalization
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Topics: Inspection, Surface preparation, Blasting, Coating processes, Coatings, Composite materials, Metals, Resins, Manufacturing, Microscopes
Proceedings Papers

Advanced Modeling of Drilling – Realistic Process Mechanics Leading to Helical Chip Formation

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Wolfgang Lortz, Radu Pavel
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A028, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63790
https://doi.org/10.1115/MSEC2021-63790
View Paper titled, Advanced Modeling of Drilling – Realistic Process Mechanics Leading to Helical Chip Formation
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Topics: Drilling, Friction, Modeling, Temperature, Deformation, Metals, Wear, Artificial intelligence, Computers, Corners (Structural elements)
Proceedings Papers

Tool Wear Analysis of MTConnect Production Data

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David Stock, Aditi Mukhopadhyay, Rob Potter, Andy Henderson
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A004, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63407
https://doi.org/10.1115/MSEC2021-63407
View Paper titled, Tool Wear Analysis of MTConnect Production Data
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Topics: Wear, Stress, Machinery, Computer numerical control machine tools, Cutting tools, Cycles, Computers, Cutting, Machining
Proceedings Papers

Vision-Based Precision Deburring and Edge Breaking Process Quality Control

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Kartik Gupta, Cindy Grimm, Burak Sencer, Ravi Balasubramanian
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A005, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8493
https://doi.org/10.1115/MSEC2020-8493
View Paper titled, Vision-Based Precision Deburring and Edge Breaking Process Quality Control
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Topics: Computers, Deburring, Quality control, Calibration, Geometry, Aluminum, Computer-aided design, Hardware, Lenses (Optics), Optical quality control
Proceedings Papers

A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System

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Zixuan Yang, Huaiyuan Teng, Jeremy Goldhawk, Ilya Kovalenko, Efe C. Balta, Felipe Lopez, Dawn Tilbury, Kira Barton
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A024, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2966
https://doi.org/10.1115/MSEC2019-2966
View Paper titled, A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System
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Topics: Manufacturing systems, Quality control, Computers, Computer-aided design, Metrology, Pipelines, Control equipment, Dimensional metrology, Dimensions, Algorithms