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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
https://doi.org/10.1115/DETC2020-22696
View Paper titled, Multi-Objective Design Exploration of a Canine Ventriculoperitoneal Shunt for Hydrocephalus
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Topics: Biomedicine, Design
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
https://doi.org/10.1115/DETC2020-22539
View Paper titled, Head and Neck Injury Risk Criteria-Based Robust Design for Vehicular Crashworthiness
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Topics: Crashworthiness, Design, Risk, Wounds
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
https://doi.org/10.1115/DETC2020-22460
View Paper titled, Theoretical Framework for Design for Dynamic User Preferences
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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
https://doi.org/10.1115/DETC2020-22044
View Paper titled, Metamaterial Design for Targeted Limb-Socket Interface Pressure Offloading in Transtibial Amputees
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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
https://doi.org/10.1115/DETC2020-22518
View Paper titled, Deriving Metamodels to Relate Machine Learning Quality to Design Repository Characteristics in the Context of Additive Manufacturing
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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
https://doi.org/10.1115/DETC2020-22681
View Paper titled, METASET: An Automated Data Selection Method for Scalable Data-Driven Design of Metamaterials
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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
https://doi.org/10.1115/DETC2020-22204
View Paper titled, Semi-Supervised Deep Learning for High-Dimensional Uncertainty Quantification
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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
https://doi.org/10.1115/DETC2020-22450
View Paper titled, Computational Design Generation and Evaluation of Beam-Based Tetragonal Bravais Lattice Structures for Tissue Engineering
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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
https://doi.org/10.1115/DETC2020-22519
View Paper titled, Enhanced Particle Swarm Optimization via Reinforcement Learning
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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
https://doi.org/10.1115/DETC2020-22318
View Paper titled, A Model Predictive Control-Based Energy Management Strategy Considering Electric Vehicle Battery Thermal and Cabin Climate Control
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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
https://doi.org/10.1115/DETC2020-22495
View Paper titled, A Weighted Confidence Metric to Improve Automated Functional Modeling
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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
https://doi.org/10.1115/DETC2020-22219
View Paper titled, Attention Routing: Track-Assignment Detailed Routing Using Attention-Based Reinforcement Learning
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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
https://doi.org/10.1115/DETC2020-22706
View Paper titled, Design and Optimization of Functionally Graded Superelastic NiTi Stents
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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
https://doi.org/10.1115/DETC2020-22675
View Paper titled, TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
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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
https://doi.org/10.1115/DETC2020-22355
View Paper titled, Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning
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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
https://doi.org/10.1115/DETC2020-22498
View Paper titled, Using Decision Trees Supported by Data Mining to Improve Function-Based Design
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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
https://doi.org/10.1115/DETC2020-22043
View Paper titled, Predicting Build Orientation of Additively Manufactured Parts With Mechanical Machining Features Using Deep Learning
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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
https://doi.org/10.1115/DETC2020-22714
View Paper titled, Learning to Abstract and Compose Mechanical Device Function and Behavior
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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
https://doi.org/10.1115/DETC2020-22346
View Paper titled, Optimizing an Algorithm for Data Mining a Design Repository to Automate Functional Modeling
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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
https://doi.org/10.1115/DETC2020-22381
View Paper titled, Extrapolation With Gaussian Random Processes and Evolutionary Programming
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Topics: Computer programming, Maximum likelihood estimation, Stochastic processes