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Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A011, June 21–25, 2021

Paper No: MSEC2021-63787

DOI: https://doi.org/10.1115/MSEC2021-63787

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Topics: Additive manufacturing, Construction, Robotics, Robots

Proceedings Papers

Robotic Grasping Training Using Deep Reinforcement Learning With Policy Guidance Mechanism

Junying Yao, Yongkui Liu, Tingyu Lin, Xubin Ping, He Xu, Wenxiao Wang, Yingying Xiao, Lin Zhang, Lihui Wang

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A015, June 21–25, 2021

Paper No: MSEC2021-63974

DOI: https://doi.org/10.1115/MSEC2021-63974

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Topics: Grasping, Platinum group metals, Reinforcement learning, Robots, Algorithms, Engineering simulation, Manufacturing, Simulation

Journal Articles

Function Block-Based Multimodal Control for Symbiotic Human–Robot Collaborative Assembly

Sichao Liu, Lihui Wang, Xi Vincent Wang

J. Manuf. Sci. Eng. September 2021, 143(9): 091001.

Paper No: MANU-20-1473

DOI: https://doi.org/10.1115/1.4050187

Published Online: March 29, 2021

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Topics: Manufacturing, Robots, Collaboration

Proceedings Papers

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

Xi Vincent Wang, Lihui Wang

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A026, September 3, 2020

Paper No: MSEC2020-8427

DOI: https://doi.org/10.1115/MSEC2020-8427

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Topics: Collaboration, Manufacturing systems, Robots, Safety

Proceedings Papers

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

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A024, September 3, 2020

Paper No: MSEC2020-8355

DOI: https://doi.org/10.1115/MSEC2020-8355

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Topics: Manufacturing, Reinforcement learning, Robots

Journal Articles

A Data-Driven Machining Error Analysis Method for Finish Machining of Assembly Interfaces of Large-Scale Components

Wei Fan, Lianyu Zheng, Wei Ji, Xun Xu, Lihui Wang, Xiong Zhao

J. Manuf. Sci. Eng. April 2021, 143(4): 041010.

Paper No: MANU-20-1433

DOI: https://doi.org/10.1115/1.4048955

Published Online: December 17, 2020

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Topics: Errors, Machining, Manufacturing, Error analysis, Cutting, Finishes

Proceedings Papers

Robots in the Industrial Internet: A Cloud-Based Approach Based on Gateways

Xi Vincent Wang, Chen Wang, Lihui Wang

Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A036, June 10–14, 2019

Paper No: MSEC2019-2890

DOI: https://doi.org/10.1115/MSEC2019-2890

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Topics: Gates (Closures), Internet, Robots

Journal Articles

Eddy Current-Based Vibration Suppression for Finish Machining of Assembly Interfaces of Large Aircraft Vertical Tail

Wei Fan, Lianyu Zheng, Wei Ji, Xiong Zhao, Lihui Wang, Yiqing Yang

J. Manuf. Sci. Eng. July 2019, 141(7): 071012.

Paper No: MANU-19-1130

DOI: https://doi.org/10.1115/1.4043733

Published Online: May 28, 2019

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Topics: Cutting, Dampers, Damping, Eddies (Fluid dynamics), Machining, Manufacturing, Vibration suppression, Finishes, Vibration, Aircraft

Journal Articles

A Novel Approach of Tool Wear Evaluation

Wei Ji, Jinkui Shi, Xianli Liu, Lihui Wang, Steven Y. Liang

J. Manuf. Sci. Eng. September 2017, 139(9): 091015.

Paper No: MANU-17-1044

DOI: https://doi.org/10.1115/1.4037231

Published Online: July 24, 2017

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Topics: Machining, Wear, Cutting

Proceedings Papers

Implementation of a Knowledge-Based Production Planning Including a Direct Manipulative Process Editor and a Mediator Architecture

Benjamin Gernhardt, Tobias Vogel, Lihui Wang, Matthias Hemmje

Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A045, June 4–8, 2017

Paper No: MSEC2017-3006

DOI: https://doi.org/10.1115/MSEC2017-3006

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Proceedings Papers

Interoperability in Cloud Manufacturing and Practice on Private Cloud Structure for SMEs

Xi Vincent Wang, Lihui Wang

Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A047, June 4–8, 2017

Paper No: MSEC2017-3038

DOI: https://doi.org/10.1115/MSEC2017-3038

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Topics: Manufacturing, Manufacturing systems, Computer software, Hardware, Regulations, Safety, Security, Stress, Warfare

Journal Articles

Energy-Efficient Robot Configuration for Assembly

Abdullah Mohammed, Bernard Schmidt, Lihui Wang

J. Manuf. Sci. Eng. May 2017, 139(5): 051007.

Paper No: MANU-16-1394

DOI: https://doi.org/10.1115/1.4034935

Published Online: November 14, 2016

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Topics: Energy consumption, Kinematics, Manufacturing, Optimization, Robots

Proceedings Papers

Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

Göran Adamson, Lihui Wang, Magnus Holm, Philip Moore

Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A019, June 27–July 1, 2016

Paper No: MSEC2016-8771

DOI: https://doi.org/10.1115/MSEC2016-8771

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Topics: Production equipment, Manufacturing, Information models, Ontologies

Proceedings Papers

A Cloud-Based Approach to Support the Mobile Phone Recycling Industry in China

Wenyan Zhao, Xi Vincent Wang, Jianxin Yang, Bo Li, Lihui Wang

Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A012, June 27–July 1, 2016

Paper No: MSEC2016-8620

DOI: https://doi.org/10.1115/MSEC2016-8620

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Topics: China, Recycling industry, Recycling, Cycles

Proceedings Papers

Knowledge-Based Production Planning Within the Reference Planning Process Supporting Manufacturing Change Management

Benjamin Gernhardt, Tobias Vogel, Mohammad Givehchi, Lihui Wang, Matthias Hemmje

Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A013, June 27–July 1, 2016

Paper No: MSEC2016-8658

DOI: https://doi.org/10.1115/MSEC2016-8658

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Topics: Change management, Manufacturing, Production planning, Machinery, Internet of things, Logistics, Computers, Innovation, Mass production, Optimization

Proceedings Papers

Function Block-Based Integration Mechanisms for Adaptive and Flexible Cloud Manufacturing

Xi Vincent Wang, Lihui Wang

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A016, June 8–12, 2015

Paper No: MSEC2015-9303

DOI: https://doi.org/10.1115/MSEC2015-9303

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Topics: Manufacturing, Production facilities, Cloud computing, Data storage systems, Manufacturing systems

Proceedings Papers

Adaptive Robot Control as a Service in Cloud Manufacturing

Göran Adamson, Lihui Wang, Magnus Holm, Philip Moore

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A020, June 8–12, 2015

Paper No: MSEC2015-9479

DOI: https://doi.org/10.1115/MSEC2015-9479

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Topics: Manufacturing, Robots, Cloud computing, Internet of things, Production equipment, Robotic assembly

Proceedings Papers

A Semantic Representation for Process-Oriented Knowledge Management Based on Functionblock Domain Models Supporting Distributed and Collaborative Production Planning

Benjamin Gernhardt, Franz Miltner, Tobias Vogel, Holger Brocks, Matthias Hemmje, Lihui Wang

Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A021, June 8–12, 2015

Paper No: MSEC2015-9485

DOI: https://doi.org/10.1115/MSEC2015-9485

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Topics: Knowledge management, Production planning, Machinery, Computer-aided engineering, Innovation, Manufacturing, Optimization, Simulation

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Deep Reinforcement Learning-Based Multi-Task Scheduling in Cloud Manufacturing under Different Task Arrival Modes

Multimodal Data-Driven Robot Control for Human–Robot Collaborative Assembly

Energy Efficient Multi-Robotic 3D Printing for Large-Scale Construction – Framework, Challenges, and a Systematic Approach

Robotic Grasping Training Using Deep Reinforcement Learning With Policy Guidance Mechanism

Function Block-Based Multimodal Control for Symbiotic Human–Robot Collaborative Assembly

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

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

A Data-Driven Machining Error Analysis Method for Finish Machining of Assembly Interfaces of Large-Scale Components

Robots in the Industrial Internet: A Cloud-Based Approach Based on Gateways

Eddy Current-Based Vibration Suppression for Finish Machining of Assembly Interfaces of Large Aircraft Vertical Tail

A Novel Approach of Tool Wear Evaluation

Implementation of a Knowledge-Based Production Planning Including a Direct Manipulative Process Editor and a Mediator Architecture

Interoperability in Cloud Manufacturing and Practice on Private Cloud Structure for SMEs

Energy-Efficient Robot Configuration for Assembly

Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

A Cloud-Based Approach to Support the Mobile Phone Recycling Industry in China

Knowledge-Based Production Planning Within the Reference Planning Process Supporting Manufacturing Change Management

Function Block-Based Integration Mechanisms for Adaptive and Flexible Cloud Manufacturing

Adaptive Robot Control as a Service in Cloud Manufacturing

A Semantic Representation for Process-Oriented Knowledge Management Based on Functionblock Domain Models Supporting Distributed and Collaborative Production Planning

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