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Proceedings Papers

Head and Neck Injury Risk Criteria-Based Robust Design for Vehicular Crashworthiness

Anand Balu Nellippallil, Parker R. Berthelson, Luke Peterson, Raj K. Prabhu

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A015a, August 17–19, 2020

Paper No: DETC2020-22539

DOI: https://doi.org/10.1115/DETC2020-22539

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Topics: Crashworthiness, Design, Risk, Wounds

Proceedings Papers

Multi-Objective Design Exploration of a Canine Ventriculoperitoneal Shunt for Hydrocephalus

Ryan Yingling, Anand Balu Nellippallil, Matthew Register, Travis Hannan, Jack Simmons, Andy Shores, Raj K. Prabhu

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A013a, August 17–19, 2020

Paper No: DETC2020-22696

DOI: https://doi.org/10.1115/DETC2020-22696

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Topics: Biomedicine, Design

Proceedings Papers

Theoretical Framework for Design for Dynamic User Preferences

Mojtaba Arezoomand, Elliott Rouse, Jesse Austin-Breneman

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A016, August 17–19, 2020

Paper No: DETC2020-22460

DOI: https://doi.org/10.1115/DETC2020-22460

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Topics: Design, Preferences, Algorithms, Artificial limbs, Feedback, Product development, Stiffness

Proceedings Papers

Metamaterial Design for Targeted Limb-Socket Interface Pressure Offloading in Transtibial Amputees

Nathan Brown, Meredith K. Owen, John D. DesJardins, Anthony Garland, Georges M. Fadel

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A011, August 17–19, 2020

Paper No: DETC2020-22044

DOI: https://doi.org/10.1115/DETC2020-22044

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Topics: Additive manufacturing, Artificial limbs, Biomedicine, Design, Finite element analysis, Metamaterials, Pressure, Prostheses

Proceedings Papers

Deriving Metamodels to Relate Machine Learning Quality to Design Repository Characteristics in the Context of Additive Manufacturing

Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A006, August 17–19, 2020

Paper No: DETC2020-22518

DOI: https://doi.org/10.1115/DETC2020-22518

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Topics: Additive manufacturing, Design, Machine learning, Artificial neural networks, Trains, Fuels, Simulation, Thread

Proceedings Papers

METASET: An Automated Data Selection Method for Scalable Data-Driven Design of Metamaterials

Yu-Chin Chan, Faez Ahmed, Liwei Wang, Wei Chen

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A021, August 17–19, 2020

Paper No: DETC2020-22681

DOI: https://doi.org/10.1115/DETC2020-22681

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Topics: Design, Metamaterials, Shapes, Algorithms, Displacement, Engineering simulation, Machine learning, Simulation, Space, Tradeoffs

Proceedings Papers

Semi-Supervised Deep Learning for High-Dimensional Uncertainty Quantification

Zequn Wang, Mingyang Li

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A001, August 17–19, 2020

Paper No: DETC2020-22204

DOI: https://doi.org/10.1115/DETC2020-22204

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Topics: Dimensions, Evolutionary algorithms, Uncertainty quantification

Proceedings Papers

Computational Design Generation and Evaluation of Beam-Based Tetragonal Bravais Lattice Structures for Tissue Engineering

Amit M. E. Arefin, Paul F. Egan

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A012, August 17–19, 2020

Paper No: DETC2020-22450

DOI: https://doi.org/10.1115/DETC2020-22450

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Topics: Design, Tissue engineering, Biological tissues, Biomedicine, Medical devices, Additive manufacturing, Biomedical engineering, Modeling, Performance

Proceedings Papers

Enhanced Particle Swarm Optimization via Reinforcement Learning

Di Wu, G. Gary Wang

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A007, August 17–19, 2020

Paper No: DETC2020-22519

DOI: https://doi.org/10.1115/DETC2020-22519

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Topics: Particle swarm optimization

Proceedings Papers

A Model Predictive Control-Based Energy Management Strategy Considering Electric Vehicle Battery Thermal and Cabin Climate Control

Yuanzhi Liu, Jie Zhang

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A022, August 17–19, 2020

Paper No: DETC2020-22318

DOI: https://doi.org/10.1115/DETC2020-22318

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Topics: Air conditioning, Batteries, Climate, Electric vehicle batteries, Energy management, Thermal management, Electric vehicles, Energy consumption, Energy efficiency, Energy management systems

Proceedings Papers

A Weighted Confidence Metric to Improve Automated Functional Modeling

Katherine Edmonds, Alex Mikes, Bryony DuPont, Robert B. Stone

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A017, August 17–19, 2020

Paper No: DETC2020-22495

DOI: https://doi.org/10.1115/DETC2020-22495

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Topics: Modeling, Chain, Design, Flow (Dynamics), Algorithms, Reliability

Proceedings Papers

Attention Routing: Track-Assignment Detailed Routing Using Attention-Based Reinforcement Learning

Haiguang Liao, Qingyi Dong, Xuliang Dong, Wentai Zhang, Wangyang Zhang, Weiyi Qi, Elias Fallon, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A002, August 17–19, 2020

Paper No: DETC2020-22219

DOI: https://doi.org/10.1115/DETC2020-22219

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Topics: Algorithms, Analog circuits, Circuits, Design, Integrated circuits

Proceedings Papers

Design and Optimization of Functionally Graded Superelastic NiTi Stents

Jivtesh B. Khurana, Mary Frecker, Eric M. Pauli

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A013, August 17–19, 2020

Paper No: DETC2020-22706

DOI: https://doi.org/10.1115/DETC2020-22706

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Topics: Design, Nickel titanium alloys, Optimization, Stents, Biological tissues, Compression, Endoscopic devices, Finite element analysis, Genetic algorithms, Leakage

Proceedings Papers

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A008, August 17–19, 2020

Paper No: DETC2020-22675

DOI: https://doi.org/10.1115/DETC2020-22675

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Topics: Optimization, Topology, Boundary-value problems, Errors, Generators, Design, Excitation, Network models, Stress

Proceedings Papers

Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Weijuan Cao, Trevor Robinson, Yang Hua, Flavien Boussuge, Andrew R. Colligan, Wanbin Pan

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A003, August 17–19, 2020

Paper No: DETC2020-22355

DOI: https://doi.org/10.1115/DETC2020-22355

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Topics: Artificial neural networks, Machining, Three-dimensional computer-aided design

Proceedings Papers

Using Decision Trees Supported by Data Mining to Improve Function-Based Design

Vincenzo J. Ferrero, Naser Alqseer, Melissa Tensa, Bryony DuPont

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A018, August 17–19, 2020

Paper No: DETC2020-22498

DOI: https://doi.org/10.1115/DETC2020-22498

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Topics: Data mining, Design, Algorithms, Modeling

Proceedings Papers

Predicting Build Orientation of Additively Manufactured Parts With Mechanical Machining Features Using Deep Learning

Aliakbar Eranpurwala, Seyedeh Elaheh Ghiasian, Kemper Lewis

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A023, August 17–19, 2020

Paper No: DETC2020-22043

DOI: https://doi.org/10.1115/DETC2020-22043

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Topics: Additive manufacturing, Machining

Proceedings Papers

Learning to Abstract and Compose Mechanical Device Function and Behavior

Jun Wang, Kevin Chiu, Mark Fuge

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A009, August 17–19, 2020

Paper No: DETC2020-22714

DOI: https://doi.org/10.1115/DETC2020-22714

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Topics: Artificial neural networks, Flow (Dynamics), Fluid dynamics, Fluids, Navier-Stokes equations, Physics

Proceedings Papers

Optimizing an Algorithm for Data Mining a Design Repository to Automate Functional Modeling

Alex Mikes, Katherine Edmonds, Robert B. Stone, Bryony DuPont

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A014, August 17–19, 2020

Paper No: DETC2020-22346

DOI: https://doi.org/10.1115/DETC2020-22346

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Topics: Algorithms, Data mining, Design, Modeling, Flow (Dynamics)

Proceedings Papers

Extrapolation With Gaussian Random Processes and Evolutionary Programming

Robert Planas, Nicholas Oune, Ramin Bostanabad

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A004, August 17–19, 2020

Paper No: DETC2020-22381

DOI: https://doi.org/10.1115/DETC2020-22381

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Topics: Computer programming, Maximum likelihood estimation, Stochastic processes

2 3 4 5

NARROW

Head and Neck Injury Risk Criteria-Based Robust Design for Vehicular Crashworthiness

Multi-Objective Design Exploration of a Canine Ventriculoperitoneal Shunt for Hydrocephalus

Theoretical Framework for Design for Dynamic User Preferences

Metamaterial Design for Targeted Limb-Socket Interface Pressure Offloading in Transtibial Amputees

Deriving Metamodels to Relate Machine Learning Quality to Design Repository Characteristics in the Context of Additive Manufacturing

METASET: An Automated Data Selection Method for Scalable Data-Driven Design of Metamaterials

Semi-Supervised Deep Learning for High-Dimensional Uncertainty Quantification

Computational Design Generation and Evaluation of Beam-Based Tetragonal Bravais Lattice Structures for Tissue Engineering

Enhanced Particle Swarm Optimization via Reinforcement Learning

A Model Predictive Control-Based Energy Management Strategy Considering Electric Vehicle Battery Thermal and Cabin Climate Control

A Weighted Confidence Metric to Improve Automated Functional Modeling

Attention Routing: Track-Assignment Detailed Routing Using Attention-Based Reinforcement Learning

Design and Optimization of Functionally Graded Superelastic NiTi Stents

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Using Decision Trees Supported by Data Mining to Improve Function-Based Design

Predicting Build Orientation of Additively Manufactured Parts With Mechanical Machining Features Using Deep Learning

Learning to Abstract and Compose Mechanical Device Function and Behavior

Optimizing an Algorithm for Data Mining a Design Repository to Automate Functional Modeling

Extrapolation With Gaussian Random Processes and Evolutionary Programming

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