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Proceedings Papers

Transfer Learning in Multi-Objective Generative Design of Metamaterials

Gabriel Apaza, Daniel Selva
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A006, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142346
https://doi.org/10.1115/DETC2024-142346
View Paper titled, Transfer Learning in Multi-Objective Generative Design of Metamaterials
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Topics: Generative design, Metamaterials, Design, Stiffness, Genetic algorithms, Optimization, Physics, Reinforcement learning
Proceedings Papers

Sandpiper Food Search Algorithm: A New Optimization Algorithm With Limited Knowledge

Jessica Christa Wira Hadipoernomo, Bryan C. Watson
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A001, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142709
https://doi.org/10.1115/DETC2024-142709
View Paper titled, Sandpiper Food Search Algorithm: A New Optimization Algorithm With Limited Knowledge
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Topics: Algorithms, Complex systems, Food products, Optimization, Optimization algorithms, Bio-inspired design, Bridges (Structures), Brightness (Photometry), Conceptual design, Design
Proceedings Papers

Structural Design Vs Manufacturability Costs of Complex Stamped Components

Ibraheem Alawadhi, Satchit Ramnath, Abhishek Bolar, Yilin Fu, Jami J. Shah, Nathan Zurbrugg, Duane Detwiler
Proc. ASME. IDETC-CIE2024, Volume 5: 29th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A008, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-144084
https://doi.org/10.1115/DETC2024-144084
View Paper titled, Structural Design Vs Manufacturability Costs of Complex Stamped Components
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Topics: Structural design, Manufacturing, Design, Shapes, Optimization, Stress, Algorithms, Design for Manufacturing, Dynamic flowgraph methodology, Experimental design
Proceedings Papers

Sensor Network Design for Permanent Magnet Synchronous Motor Fault Diagnosis

Sara Kohtz, Junhan Zhao, Anabel Renteria, Anand Vikas Lalwani, Xiaolong Zhang, Kiruba Sivasubramaniam Haran, Debbie Senesky, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A050, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116972
https://doi.org/10.1115/DETC2023-116972
View Paper titled, Sensor Network Design for Permanent Magnet Synchronous Motor Fault Diagnosis
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Topics: Design, Engines, Fault diagnosis, Flaw detection, Genetic algorithms, Motors, Permanent magnets, Sensor networks, Sensor placement
Proceedings Papers

Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning

Noah J. Bagazinski, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A028, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117003
https://doi.org/10.1115/DETC2023-117003
View Paper titled, Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning
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Topics: Design, Hull, Machine learning, Optimization, Ships, Naval architecture, Drag (Fluid dynamics), Cycles, Computational methods, Computer-aided design
Proceedings Papers

Large-Scale Path Planning in Complex Environments Based on Genetic Algorithm

Chuanhui Hu, Yan Jin
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A060, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116340
https://doi.org/10.1115/DETC2023-116340
View Paper titled, Large-Scale Path Planning in Complex Environments Based on Genetic Algorithm
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Topics: Evolutionary algorithms, Genetic algorithms, Path planning, Robotics
Proceedings Papers

Multi-Objective Optimal Design of Gravity Compensators Using Pareto Front With Genetic Algorithm

Vu Linh Nguyen
Proc. ASME. IDETC-CIE2023, Volume 8: 47th Mechanisms and Robotics Conference (MR), V008T08A003, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-112372
https://doi.org/10.1115/DETC2023-112372
View Paper titled, Multi-Objective Optimal Design of Gravity Compensators Using Pareto Front With Genetic Algorithm
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Topics: Design, Genetic algorithms, Gravity (Force), Springs, Torque
Proceedings Papers

Comparison of Multi-Objective Optimisation Methods for the Design of Electric Motors

Dario Barri, Federico Soresini, Massimiliano Gobbi, Gianpiero Mastinu
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A012, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89930
https://doi.org/10.1115/DETC2022-89930
View Paper titled, Comparison of Multi-Objective Optimisation Methods for the Design of Electric Motors
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Topics: Design, Electric motors, Genetic algorithms, Pareto optimization
Proceedings Papers

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Fabian Dworschak, Christopher Sauer, Benjamin Schleich, Sandro Wartzack
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A001, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89073
https://doi.org/10.1115/DETC2022-89073
View Paper titled, Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming
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Topics: Design, Metalworking, Reinforcement learning, Genetic algorithms, Machine learning, Manufacturing, Pareto optimization, Probes
Proceedings Papers

A Constraint-Handling Technique for Parametric Optimization and Control Co-Design

Ying-Kuan Tsai, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A009, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89957
https://doi.org/10.1115/DETC2022-89957
View Paper titled, A Constraint-Handling Technique for Parametric Optimization and Control Co-Design
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Topics: Design, Optimization, Genetic algorithms, Pendulums, Support vector machines, Algorithms, Control equipment, Control systems, Dynamics (Mechanics), Machine learning
Proceedings Papers

A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems

Guanglu Zhang, Douglas Allaire, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A027, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88146
https://doi.org/10.1115/DETC2022-88146
View Paper titled, A Focused Regions Identification Method for Nonlinear Least Squares Curve Fitting Problems
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Topics: Curve fitting, Parameter estimation, Errors, Fittings, Genetic algorithms, Inverse problems, Optimization
Proceedings Papers

A Data-Driven Design Approach for Carbon Emission Prediction of Machining

Yuxuan Chen, Wei Yan, Hua Zhang, Ying Liu, Zhigang Jiang, Xumei Zhang
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A062, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90465
https://doi.org/10.1115/DETC2022-90465
View Paper titled, A Data-Driven Design Approach for Carbon Emission Prediction of Machining
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Topics: Carbon, Data-driven design, Emissions, Machining, Design, Errors, Manufacturing industry, Artificial neural networks, Computer-aided design, Data collection
Proceedings Papers

Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing

Toluwalase O. Olajoyegbe, Beshoy Morkos
Proc. ASME. IDETC-CIE2022, Volume 5: 27th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91294
https://doi.org/10.1115/DETC2022-91294
View Paper titled, Utilizing Bayesian Inference to Optimization Manufacturing Facility Configuration and Task Sequencing in Product Remanufacturing
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Topics: Accounting, Economics , Genetic algorithms, Manufacturing, Manufacturing systems, Modeling, Optimization, Production facilities, Service life (Equipment), Sustainability
Proceedings Papers

Design, Modeling, and Optimization of a Novel Asymmetrical Piezoelectrically Actuated Microgripper

Zekui Lyu, Qingsong Xu
Proc. ASME. IDETC-CIE2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A039, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-68787
https://doi.org/10.1115/DETC2021-68787
View Paper titled, Design, Modeling, and Optimization of a Novel Asymmetrical Piezoelectrically Actuated Microgripper
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Topics: Design, Modeling, Optimization, Displacement, Grippers, Resonance, Biomedicine, Bridges (Structures), Clamps (Tools), End effectors
Proceedings Papers

A Methodology for Designing a Nonlinear Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control

Ying-Kuan Tsai, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A011, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69295
https://doi.org/10.1115/DETC2021-69295
View Paper titled, A Methodology for Designing a Nonlinear Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control
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Topics: Control equipment, Design, Feedback, Nonlinear programming, Optimization, Dynamic systems, Engineering design processes, Genetic algorithms, Metamodeling, Optimal control
Proceedings Papers

Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts

Stefan Holzinger, Manuel Schieferle, Johannes Gerstmayr, Manfred Hofer, Christoph Gutmann
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A016, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71417
https://doi.org/10.1115/DETC2021-71417
View Paper titled, Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts
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Topics: Modeling, Rotors, Optimization, Multibody systems, Dynamics (Mechanics), Errors, Genetic algorithms, Multibody dynamics, Optimization algorithms
Proceedings Papers

Multi-Objective Structural Optimization of Vehicle Wheels

P. Stabile, F. Ballo, M. Gobbi, G. Previati
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A015, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71062
https://doi.org/10.1115/DETC2021-71062
View Paper titled, Multi-Objective Structural Optimization of Vehicle Wheels
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Topics: Artificial neural networks, Design, Genetic algorithms, Pareto optimization, Structural optimization, Vehicles, Wheels
Proceedings Papers

A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Andrea Tonoli, Nicola Amati, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A017, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-68469
https://doi.org/10.1115/DETC2021-68469
View Paper titled, A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles
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Topics: Artificial neural networks, Construction equipment, Genetic algorithms, Lead-acid batteries, Machine learning
Proceedings Papers

Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles

Shailesh Hegde, Angelo Bonfitto, Hadi Rahmeh, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A019, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71621
https://doi.org/10.1115/DETC2021-71621
View Paper titled, Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles
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Topics: Energy management, Genetic algorithms, Hybrid electric vehicles
Proceedings Papers

Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down

Matthew David Williams, Dennis Hong
Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A022, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70631
https://doi.org/10.1115/DETC2021-70631
View Paper titled, Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down
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Topics: Buoyancy, Robots, Drag (Fluid dynamics), Engineering simulation, Simulation, Weight (Mass), Ceilings, Energy consumption, Gases, Genetic algorithms