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Proceedings Papers

Development of a Model for Prediction and Optimization of Hardness of Electrodeposited Cu/SiC Composite Using RSM and ANN-PSO

Prince Kumar Rai, Ankur Gupta
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A003, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-101504
https://doi.org/10.1115/MSEC2023-101504
View Paper titled, Development of a Model for Prediction and Optimization of Hardness of Electrodeposited Cu/SiC Composite Using RSM and ANN-PSO
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Topics: Artificial neural networks, Composite materials, Copper, Electrodeposition, Optimization, Particle swarm optimization, Response surface methodology
Proceedings Papers

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

Hua-Wei Ko, Shiv G. Kapoor, Placid M. Ferreira
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A001, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8254
https://doi.org/10.1115/MSEC2020-8254
View Paper titled, A Simplified Approach to Tolerance Verifications for Cylindrical Surfaces Using Point-Set Data
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Topics: Cylinders, Fittings, Machining, Particle swarm optimization
Proceedings Papers

Disruption Recovery Model for Complex Flow Shop Scheduling With Considering Behavior Under Environment of the Internet of Things

Bo Hong-guang, Li Huan-zhi, Zhang Hui-lin, Guo Yi, Mu Wei
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A037, June 4–8, 2017
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2017-2827
https://doi.org/10.1115/MSEC2017-2827
View Paper titled, Disruption Recovery Model for Complex Flow Shop Scheduling With Considering Behavior Under Environment of the Internet of Things
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Topics: Flow (Dynamics), Internet of things, Algorithms, Integer programming, Manufacturing systems, Particle swarm optimization
Proceedings Papers

An Optimal Allocation Method for Virtual Resource Considering Variable Metrics of Cloud Manufacturing Service

Jin Cui, Lei Ren, Lin Zhang, Qiong Wu
Proc. ASME. MSEC2015, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A013, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9245
https://doi.org/10.1115/MSEC2015-9245
View Paper titled, An Optimal Allocation Method for Virtual Resource Considering Variable Metrics of Cloud Manufacturing Service
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Topics: Manufacturing, Algorithms, Particle swarm optimization, Optimization, Cloud computing, Virtual assembly
Proceedings Papers

Multi-Objective Particle Swarm Optimization of Machining Parameters for End Milling Titanium Alloy Ti-6AL-4V

Durul Ulutan, Abram Pleta, Laine Mears
Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T04A041, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-4145
https://doi.org/10.1115/MSEC2014-4145
View Paper titled, Multi-Objective Particle Swarm Optimization of Machining Parameters for End Milling Titanium Alloy Ti-6AL-4V
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Topics: Machining, Milling, Particle swarm optimization, Titanium alloys, Aerospace industry, Biomedicine, Corrosion, Creep, Cutting, Energy generation
Proceedings Papers

Analytical Modeling and Experimental Validation of Force Ripple and Friction Force for General Direct Drive Systems

Ran Zhao, Chengying Xu
Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T02A024, June 10–14, 2013
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2013-1058
https://doi.org/10.1115/MSEC2013-1058
View Paper titled, Analytical Modeling and Experimental Validation of Force Ripple and Friction Force for General Direct Drive Systems
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Topics: Friction, Modeling, Optimization, Errors, Particle swarm optimization, Sliding friction
Proceedings Papers

Multi-Objective Optimization of Microturning Process Parameters Using Particle Swarm Technique

Nithin Tom Mathew, Kanthababu Mani
Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T03A010, June 10–14, 2013
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2013-1011
https://doi.org/10.1115/MSEC2013-1011
View Paper titled, Multi-Objective Optimization of Microturning Process Parameters Using Particle Swarm Technique
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Topics: Pareto optimization, Particle swarm optimization, Particulate matter, Surface roughness, Wear, Optimization algorithms
Proceedings Papers

A New Approach to Determining Optimum Tool Size for Finish Milling of NURBS Profiles

Hongda Zhang, Zezhong C. Chen
Proc. ASME. MSEC2006, Manufacturing Science and Engineering, Parts A and B, 567-574, October 8–11, 2006
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2006-21069
https://doi.org/10.1115/MSEC2006-21069
View Paper titled, A New Approach to Determining Optimum Tool Size for Finish Milling of NURBS Profiles
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Topics: Finishes, Machining, Milling, Particle swarm optimization, Chisels, Cutting tools, B-splines, Computer software, Computer-aided design, Design