1-20 of 111
Manufacturing Systems
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process

Jonathan B. Sim, Kavan N. Shah, Miguel Saez, Jeffrey Abell, Yanli Zhou, John Faris, Dawn M. Tilbury, Kira Barton
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A016, June 12–16, 2023
Paper No: MSEC2023-106670
https://doi.org/10.1115/MSEC2023-106670
View Paper titled, Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process
Open the PDF for Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process in another window
Topics: Bridges (Structures), Computer software, Computer-aided design, Computer-aided engineering, Design, Digital twin, Maintenance, Manufacturing systems, Modeling, Plant engineering (Facilities)
Proceedings Papers

Digital Twin Simulation and Optimization of Manufacturing Process Flows

Hankang Lee, Hui Yang
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A013, June 12–16, 2023
Paper No: MSEC2023-105613
https://doi.org/10.1115/MSEC2023-105613
View Paper titled, Digital Twin Simulation and Optimization of Manufacturing Process Flows
Open the PDF for Digital Twin Simulation and Optimization of Manufacturing Process Flows in another window
Topics: Digital twin, Experimental design, Flow (Dynamics), Manufacturing, Optimization, Simulation
Proceedings Papers

Multi-Criteria Decision-Making for Optimal Manufacturing Configuration Selection Using an Object-Oriented Data Model and Mathematical Formalization

Agajan Torayev, Zi Wang, Giovanna Martínez-Arellano, Jack C. Chaplin, David Sanderson, Svetan Ratchev
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A012, June 12–16, 2023
Paper No: MSEC2023-105605
https://doi.org/10.1115/MSEC2023-105605
View Paper titled, Multi-Criteria Decision-Making for Optimal Manufacturing Configuration Selection Using an Object-Oriented Data Model and Mathematical Formalization
Open the PDF for Multi-Criteria Decision-Making for Optimal Manufacturing Configuration Selection Using an Object-Oriented Data Model and Mathematical Formalization in another window
Topics: Decision making, Manufacturing
Proceedings Papers

Online Cost-Effective Classification of Mixed Tool and Material Conditions in Ultrasonic Metal Welding: Towards Integrated Monitoring and Control

Kuan-Chieh Lu, Yuquan Meng, Zhiqiao Dong, Chenhui Shao
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A007, June 12–16, 2023
Paper No: MSEC2023-104868
https://doi.org/10.1115/MSEC2023-104868
View Paper titled, Online Cost-Effective Classification of Mixed Tool and Material Conditions in Ultrasonic Metal Welding: Towards Integrated Monitoring and Control
Open the PDF for Online Cost-Effective Classification of Mixed Tool and Material Conditions in Ultrasonic Metal Welding: Towards Integrated Monitoring and Control in another window
Topics: Metals, Real-time control, Welding
Proceedings Papers

Tracking and Visualization of Benchtop Assembly Components Using a RGBD Camera

Yashwanth Maddipatla, Jiaqiong Li, Yi Zheng, Beiwen Li
Publisher: American Society of Mechanical Engineers
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
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
Open the PDF for Tracking and Visualization of Benchtop Assembly Components Using a RGBD Camera in another window
Topics: Manufacturing, Visualization, Computers, Engines, Flow (Dynamics), Lidar, Machine learning, Matlab, Network models, Printed circuit boards
Proceedings Papers

A Fast and Cost-Effective Imaging System for Fine-Scale Tool Condition Monitoring in Ultrasonic Metal Welding

Zhiqiao Dong, Qianmeng Chen, Kuan-Chieh Lu, Chenhui Shao
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A008, June 12–16, 2023
Paper No: MSEC2023-104906
https://doi.org/10.1115/MSEC2023-104906
View Paper titled, A Fast and Cost-Effective Imaging System for Fine-Scale Tool Condition Monitoring in Ultrasonic Metal Welding
Open the PDF for A Fast and Cost-Effective Imaging System for Fine-Scale Tool Condition Monitoring in Ultrasonic Metal Welding in another window
Topics: Condition monitoring, Imaging, Maintenance, Metals, Metrology, Welding
Proceedings Papers

Transfer Learning for Predictive Quality in Laser-Induced Plasma Micro-Machining

Mengfei Chen, Rajiv Malhotra, Weihong “Grace” Guo
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A015, June 12–16, 2023
Paper No: MSEC2023-106174
https://doi.org/10.1115/MSEC2023-106174
View Paper titled, Transfer Learning for Predictive Quality in Laser-Induced Plasma Micro-Machining
Open the PDF for Transfer Learning for Predictive Quality in Laser-Induced Plasma Micro-Machining in another window
Topics: Acoustic emissions, Lasers, Micromachining, Plasmas (Ionized gases)
Proceedings Papers

Stable Matching With Contracts for a Dynamic Two-Sided Manufacturing-as-a-Service (MaaS) Marketplace

Deepak Pahwa, Umut Dur, Binil Starly
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A014, June 12–16, 2023
Paper No: MSEC2023-105876
https://doi.org/10.1115/MSEC2023-105876
View Paper titled, Stable Matching With Contracts for a Dynamic Two-Sided Manufacturing-as-a-Service (MaaS) Marketplace
Open the PDF for Stable Matching With Contracts for a Dynamic Two-Sided Manufacturing-as-a-Service (MaaS) Marketplace in another window
Topics: Design, Manufacturing
Proceedings Papers

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

Neel Dhanaraj, Niraj Ganesh, Rohit Gurav, Minseok Jeon, Omey M. Manyar, Santosh Narayan, Jaehyun Park, Zhao Yu, Satyandra K. Gupta
Publisher: American Society of Mechanical Engineers
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
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
Open the PDF for A Human Robot Collaboration Framework for Assembly Tasks in High Mix Manufacturing Applications in another window
Topics: Human-robot collaboration, Manufacturing, Robots, Computers, Design, Mass production, Path planning, Satellites, Sensors, Simulation
Proceedings Papers

Degradation Modeling of a Robot Arm to Support Prognostics and Health Management

Deogratias Kibira, Guixiu Qiao
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A010, June 12–16, 2023
Paper No: MSEC2023-105230
https://doi.org/10.1115/MSEC2023-105230
View Paper titled, Degradation Modeling of a Robot Arm to Support Prognostics and Health Management
Open the PDF for Degradation Modeling of a Robot Arm to Support Prognostics and Health Management in another window
Topics: Digital twin, Maintenance, Modeling, Robots
Proceedings Papers

An Analysis of the New ISO 23247 Series of Standards on Digital Twin Framework for Manufacturing

Guodong Shao, Simon Frechette, Vijay Srinivasan
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A001, June 12–16, 2023
Paper No: MSEC2023-101127
https://doi.org/10.1115/MSEC2023-101127
View Paper titled, An Analysis of the New ISO 23247 Series of Standards on Digital Twin Framework for Manufacturing
Open the PDF for An Analysis of the New ISO 23247 Series of Standards on Digital Twin Framework for Manufacturing in another window
Topics: Digital twin, Manufacturing
Proceedings Papers

Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems

Lingxiang Yun, Jingwen Wang, Minkun Xiao, Lin Li
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A004, June 12–16, 2023
Paper No: MSEC2023-104452
https://doi.org/10.1115/MSEC2023-104452
View Paper titled, Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems
Open the PDF for Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems in another window
Topics: Manufacturing systems, Production control, Reinforcement learning
Proceedings Papers

FPGA-Based Edge Computing Framework: Modeling of Computation Task Scheduling

Jianfei Tan, Hao Yang, Chun Zhao, Lin Zhang
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A003, June 12–16, 2023
Paper No: MSEC2023-104323
https://doi.org/10.1115/MSEC2023-104323
View Paper titled, FPGA-Based Edge Computing Framework: Modeling of Computation Task Scheduling
Open the PDF for FPGA-Based Edge Computing Framework: Modeling of Computation Task Scheduling in another window
Topics: Computation, Manufacturing, Modeling, Stress, Manufacturing systems, Algorithms, Cloud computing, Collaboration, Cycles, Design
Proceedings Papers

Data Requirements for Digital Twins in Additive Manufacturing

Shaw C. Feng, Albert T. Jones, Guodong Shao
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A002, June 12–16, 2023
Paper No: MSEC2023-101130
https://doi.org/10.1115/MSEC2023-101130
View Paper titled, Data Requirements for Digital Twins in Additive Manufacturing
Open the PDF for Data Requirements for Digital Twins in Additive Manufacturing in another window
Topics: Additive manufacturing, Digital twin, Screw threads, Thread, Sensors, Computer software, Lasers, Metals
Proceedings Papers

Job Placement for Cooperative 3D Printing

Daniel H. Weber, Wenchao Zhou, Zhenghui Sha
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A005, June 12–16, 2023
Paper No: MSEC2023-104613
https://doi.org/10.1115/MSEC2023-104613
View Paper titled, Job Placement for Cooperative 3D Printing
Open the PDF for Job Placement for Cooperative 3D Printing in another window
Topics: Additive manufacturing, Printing
Proceedings Papers

Cyber-Physical Trust Anchors in Additive Manufacturing: Secure, Low-Cost, and Educational

Michele Maasberg, Brendan Birch, Daniel Janes, Kirsten Stor, Kyungmin Ham, Leslie G. Butler
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A009, June 12–16, 2023
Paper No: MSEC2023-105046
https://doi.org/10.1115/MSEC2023-105046
View Paper titled, Cyber-Physical Trust Anchors in Additive Manufacturing: Secure, Low-Cost, and Educational
Open the PDF for Cyber-Physical Trust Anchors in Additive Manufacturing: Secure, Low-Cost, and Educational in another window
Topics: Additive manufacturing, Blockchain technology, Education, Arches, Engineering prototypes, Materials science, Mathematics, Nondestructive evaluation, Optimization, Performance
Proceedings Papers

Development of an Interactive Digital Twin for Directed Energy Deposition (DED) Process

Inwoong Noh, Hyewon Shin, Youngwoon Choi, Yongho Lee, Yongjae Jeon, Sang Won Lee
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A018, June 27–July 1, 2022
Paper No: MSEC2022-85513
https://doi.org/10.1115/MSEC2022-85513
View Paper titled, Development of an Interactive Digital Twin for Directed Energy Deposition (DED) Process
Open the PDF for Development of an Interactive Digital Twin for Directed Energy Deposition (DED) Process in another window
Topics: Additive manufacturing, Digital twin, Process monitoring
Proceedings Papers

Anomaly Scoring Model for Diagnosis on Machine Condition and Health Management

Byung Gun Joung, Zhongtian Li, John W. Sutherland
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A017, June 27–July 1, 2022
Paper No: MSEC2022-85459
https://doi.org/10.1115/MSEC2022-85459
View Paper titled, Anomaly Scoring Model for Diagnosis on Machine Condition and Health Management
Open the PDF for Anomaly Scoring Model for Diagnosis on Machine Condition and Health Management in another window
Topics: Machine learning, Machinery, Manufacturing, Pulse width modulation, Maintenance, Manufacturing systems, Failure, Vibration, Artificial intelligence, Compressors
Proceedings Papers

Finding Robust Pareto-Optimal Solutions Over Time for Dynamic Disassembly Sequence Planning

Xin Zhang, Yilin Fang, Quan Liu
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A012, June 27–July 1, 2022
Paper No: MSEC2022-85358
https://doi.org/10.1115/MSEC2022-85358
View Paper titled, Finding Robust Pareto-Optimal Solutions Over Time for Dynamic Disassembly Sequence Planning
Open the PDF for Finding Robust Pareto-Optimal Solutions Over Time for Dynamic Disassembly Sequence Planning in another window
Topics: Algorithms, Optimization, Pareto optimization, Uncertainty
Proceedings Papers

Global Disruption of Semiconductor Supply Chains During COVID-19: An Evaluation of Leading Causal Factors

Aamirah Mohammed, Sardar Asif Khan
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A011, June 27–July 1, 2022
Paper No: MSEC2022-85306
https://doi.org/10.1115/MSEC2022-85306
View Paper titled, Global Disruption of Semiconductor Supply Chains During COVID-19: An Evaluation of Leading Causal Factors
Open the PDF for Global Disruption of Semiconductor Supply Chains During COVID-19: An Evaluation of Leading Causal Factors in another window
Topics: Resilience, Semiconductors (Materials), Supply chains