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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

Paper No: DETC2022-89930

DOI: https://doi.org/10.1115/DETC2022-89930

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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

Paper No: DETC2022-89073

DOI: https://doi.org/10.1115/DETC2022-89073

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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

Paper No: DETC2022-89957

DOI: https://doi.org/10.1115/DETC2022-89957

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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

Paper No: DETC2022-88146

DOI: https://doi.org/10.1115/DETC2022-88146

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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

Paper No: DETC2022-90465

DOI: https://doi.org/10.1115/DETC2022-90465

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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

Paper No: DETC2022-91294

DOI: https://doi.org/10.1115/DETC2022-91294

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Topics: Accounting, Economics , Genetic algorithms, Manufacturing, Manufacturing systems, Modeling, Optimization, Production facilities, Service life (Equipment), Sustainability

Proceedings Papers

Design of a Monolithic Constant-Force Compliant Mechanism for Extended Range of Motion and Minimal Force Variation

Ching-Wei Lo, Yuan Chang, Mien-Li Wang, Cian-Ru Lin, Jyh-Jone Lee

Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A015, August 17–19, 2021

Paper No: DETC2021-69726

DOI: https://doi.org/10.1115/DETC2021-69726

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Topics: Compliant mechanisms, Design, Finite element analysis, Genetic algorithms, Topology

Proceedings Papers

Logic Rules for Automated Synthesis of Function Models Using Evolutionary Algorithms

Amaninder Singh Gill, Chiradeep Sen

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A070, August 17–19, 2021

Paper No: DETC2021-70575

DOI: https://doi.org/10.1115/DETC2021-70575

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Topics: Evolutionary algorithms, Genetic algorithms, Algorithms, Computer software, Flow (Dynamics), Gases, Topology

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

Paper No: DETC2021-68787

DOI: https://doi.org/10.1115/DETC2021-68787

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Topics: Design, Modeling, Optimization, Displacement, Grippers, Resonance, Biomedicine, Bridges (Structures), Clamps (Tools), End effectors

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

Paper No: DETC2021-71417

DOI: https://doi.org/10.1115/DETC2021-71417

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Topics: Modeling, Rotors, Optimization, Multibody systems, Dynamics (Mechanics), Errors, Genetic algorithms, Multibody dynamics, Optimization algorithms

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

Paper No: DETC2021-69295

DOI: https://doi.org/10.1115/DETC2021-69295

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Topics: Control equipment, Design, Feedback, Nonlinear programming, Optimization, Dynamic systems, Engineering design processes, Genetic algorithms, Metamodeling, Optimal control

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

Paper No: DETC2021-71062

DOI: https://doi.org/10.1115/DETC2021-71062

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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

Paper No: DETC2021-68469

DOI: https://doi.org/10.1115/DETC2021-68469

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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

Paper No: DETC2021-71621

DOI: https://doi.org/10.1115/DETC2021-71621

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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

Paper No: DETC2021-70631

DOI: https://doi.org/10.1115/DETC2021-70631

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Topics: Buoyancy, Robots, Drag (Fluid dynamics), Engineering simulation, Simulation, Weight (Mass), Ceilings, Energy consumption, Gases, Genetic algorithms

Proceedings Papers

Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data

Xingtong Yang, Ming Li, Liangchao Zhu, Weidong Zhong

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A027, August 17–19, 2021

Paper No: DETC2021-68487

DOI: https://doi.org/10.1115/DETC2021-68487

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Topics: Artificial neural networks, Genetic algorithms, Optimization, Simulation, Topology

Proceedings Papers

Evolutionary Grasp Planning for Sheet Metal Parts With Multi-Type Grippers

Jicmat Ali Tribaldos, Chiradeep Sen

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A016, August 17–19, 2021

Paper No: DETC2021-71632

DOI: https://doi.org/10.1115/DETC2021-71632

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Topics: Genetic algorithms, Grippers, Sheet metal

Proceedings Papers

A Darwinian Approach to the Actuator Number and Placement Problem With Nonnegligible Actuator Mass

David C. Zimmerman

Proc. ASME. DETC91, 13th Biennial Conference on Mechanical Vibration and Noise: Structural Vibration and Acoustics, 83-88, September 22–25, 1991

Paper No: DETC1991-0187

DOI: https://doi.org/10.1115/DETC1991-0187

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Topics: Actuators, Algorithms, Genetic algorithms, Computer programming, Space frame structures, Vibration control

Proceedings Papers

Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge

Liana Borup, Alan Parkinson

Proc. ASME. DETC92, 18th Design Automation Conference: Volume 1 — Optimum Design, Manufacturing Processes, and Concurrent Engineering, 137-143, September 13–16, 1992

Paper No: DETC1992-0114

DOI: https://doi.org/10.1115/DETC1992-0114

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Topics: Optimization, Algorithms, Design, Simulated annealing, Engineering models, Function approximation, Genetic algorithms, Optimization algorithms, Robustness

Proceedings Papers

An Efficient Genetic Algorithm for Large Scale Built-Up Structural Optimization

Shigang Wang, Xindu Cheng, Ji Zhou, Jun Yu

Proc. ASME. DETC93, 19th Design Automation Conference: Volume 1 — Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization, 505-510, September 19–22, 1993

Paper No: DETC1993-0340

DOI: https://doi.org/10.1115/DETC1993-0340

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Topics: Genetic algorithms, Structural optimization, Displacement, Plates (structures), Space, Stress

2 3 4 5

NARROW

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

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

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

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

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

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

Design of a Monolithic Constant-Force Compliant Mechanism for Extended Range of Motion and Minimal Force Variation

Logic Rules for Automated Synthesis of Function Models Using Evolutionary Algorithms

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

Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts

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

Multi-Objective Structural Optimization of Vehicle Wheels

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

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

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

Evolutionary Discrete Multi-Material Topology Optimization Using CNN-Based Simulation Without Labeled Training Data

Evolutionary Grasp Planning for Sheet Metal Parts With Multi-Type Grippers

A Darwinian Approach to the Actuator Number and Placement Problem With Nonnegligible Actuator Mass

Comparison of Four Non-Derivative Optimization Methods on Two Problems Containing Heuristic and Analytic Knowledge

An Efficient Genetic Algorithm for Large Scale Built-Up Structural Optimization

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