Volumes | International Design Engineering Technical Conferences and Computers and Information in Engineering Conference | American Society of Mechanical Engineers Digital Collection

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

Design and Optimization of Functionally Graded Superelastic NiTi Stents

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

IDETC-CIE 2020; V11AT11A013doi:https://doi.org/10.1115/DETC2020-22706

Abstract

View Articletitled, 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

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

IDETC-CIE 2020; V11AT11A013adoi:https://doi.org/10.1115/DETC2020-22696

Abstract

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

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Topics: Biomedicine , Design

Data-Driven Design

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

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

IDETC-CIE 2020; V11AT11A014doi:https://doi.org/10.1115/DETC2020-22346

Abstract

View Articletitled, 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)

Importance-Performance Analysis of Product Attributes Using Explainable Deep Neural Network From Online Reviews

Junegak Joung, Harrison M. Kim

IDETC-CIE 2020; V11AT11A015doi:https://doi.org/10.1115/DETC2020-22382

Abstract

View Articletitled, Importance-Performance Analysis of Product Attributes Using Explainable Deep Neural Network From Online Reviews

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Topics: Artificial neural networks , Product design

Theoretical Framework for Design for Dynamic User Preferences

Mojtaba Arezoomand, Elliott Rouse, Jesse Austin-Breneman

IDETC-CIE 2020; V11AT11A016doi:https://doi.org/10.1115/DETC2020-22460

Abstract

View Articletitled, Theoretical Framework for Design for Dynamic User Preferences

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

A Weighted Confidence Metric to Improve Automated Functional Modeling

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

IDETC-CIE 2020; V11AT11A017doi:https://doi.org/10.1115/DETC2020-22495

Abstract

View Articletitled, A Weighted Confidence Metric to Improve Automated Functional Modeling

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

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

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

IDETC-CIE 2020; V11AT11A018doi:https://doi.org/10.1115/DETC2020-22498

Abstract

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

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Topics: Data mining , Design , Algorithms , Modeling

Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign

Binyang Song, Emmett Meinzer, Akash Agrawal, Christopher McComb

IDETC-CIE 2020; V11AT11A019doi:https://doi.org/10.1115/DETC2020-22567

Abstract

View Articletitled, Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign

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Topics: Design , Modeling

Improving the Accuracy and Diversity of Feature Extraction From Online Reviews Using Keyword Embedding and Two Clustering Methods

Seyoung Park, Harrison M. Kim

IDETC-CIE 2020; V11AT11A020doi:https://doi.org/10.1115/DETC2020-22642

Abstract

View Articletitled, Improving the Accuracy and Diversity of Feature Extraction From Online Reviews Using Keyword Embedding and Two Clustering Methods

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Topics: Feature extraction , Filters , Noise (Sound) , Preferences , Product design , Product development

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

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

IDETC-CIE 2020; V11AT11A021doi:https://doi.org/10.1115/DETC2020-22681

Abstract

View Articletitled, 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

Design and Optimization of Sustainable Energy Systems

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

Yuanzhi Liu, Jie Zhang

IDETC-CIE 2020; V11AT11A022doi:https://doi.org/10.1115/DETC2020-22318

Abstract

View Articletitled, 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

Design for Additive Manufacturing

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

Aliakbar Eranpurwala, Seyedeh Elaheh Ghiasian, Kemper Lewis

IDETC-CIE 2020; V11AT11A023doi:https://doi.org/10.1115/DETC2020-22043

Abstract

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

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Topics: Additive manufacturing , Machining

Quality Assessment of Additively Manufactured Fiducial Markers to Support Augmented Reality-Based Part Inspection

Jayant Mathur, Saurabh Basu, Jessica Menold, Nicholas A. Meisel

IDETC-CIE 2020; V11AT11A024doi:https://doi.org/10.1115/DETC2020-22172

Abstract

View Articletitled, Quality Assessment of Additively Manufactured Fiducial Markers to Support Augmented Reality-Based Part Inspection

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Topics: Additive manufacturing , Augmented reality , Design , Inspection

A Machine Learning-Based Design Recommender System for Additive Manufacturing

Seyedeh Elaheh Ghiasian, Kemper Lewis

IDETC-CIE 2020; V11AT11A025doi:https://doi.org/10.1115/DETC2020-22182

Abstract

View Articletitled, A Machine Learning-Based Design Recommender System for Additive Manufacturing

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Topics: Additive manufacturing , Design , Machinery , Algorithms , Machine learning , Printing

Design Automation for Mass Customisation via Additive Manufacture: A Case Study on Continuous Positive Airway Pressure Mask

Shiya Li, Stylianos Ploumpis, Stefanos Zafeiriou, Connor Myant

IDETC-CIE 2020; V11AT11A026doi:https://doi.org/10.1115/DETC2020-22316

Abstract

View Articletitled, Design Automation for Mass Customisation via Additive Manufacture: A Case Study on Continuous Positive Airway Pressure Mask

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Topics: Continuous positive airway pressure , Design automation , Design , Pipelines , Respirators , Computer-aided design , Additive manufacturing , Biomedicine , Data acquisition , Modeling

Lattice Structure Optimization With Orientation-Dependent Material Properties

Conner Sharpe, Carolyn Conner Seepersad

IDETC-CIE 2020; V11AT11A027doi:https://doi.org/10.1115/DETC2020-22320

Abstract

View Articletitled, Lattice Structure Optimization With Orientation-Dependent Material Properties

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Topics: Materials properties , Optimization , Design , Additive manufacturing , Manufacturing , Computer simulation , Mechanical properties , Metals , Modeling

3D Additive Lattice Topology Optimization: A Unit Cell Design Approach

Bradley Hanks, Mary Frecker

IDETC-CIE 2020; V11AT11A028doi:https://doi.org/10.1115/DETC2020-22386

Abstract

View Articletitled, 3D Additive Lattice Topology Optimization: A Unit Cell Design Approach

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Topics: Additive manufacturing , Design , Metamaterials , Optimization , Topology

Favoring Complexity: A Mixed Methods Exploration of Factors That Influence Concept Selection in Design for Additive Manufacturing

Rohan Prabhu, Rainmar L. Leguarda, Scarlett R. Miller, Timothy W. Simpson, Nicholas A. Meisel

IDETC-CIE 2020; V11AT11A029doi:https://doi.org/10.1115/DETC2020-22447

Abstract

View Articletitled, Favoring Complexity: A Mixed Methods Exploration of Factors That Influence Concept Selection in Design for Additive Manufacturing

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Topics: Additive manufacturing , Creativity , Design

A Review of Part Filtering Methods for Additive Manufacturing

Jennifer E. Bracken, Christopher McComb, Timothy W. Simpson, Kathryn W. Jablokow

IDETC-CIE 2020; V11AT11A030doi:https://doi.org/10.1115/DETC2020-22448

Abstract

View Articletitled, A Review of Part Filtering Methods for Additive Manufacturing

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Topics: Additive manufacturing , Filtration , Design , Lenses (Optics)

Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements

Khalil Al Handawi, Petter Andersson, Massimo Panarotto, Ola Isaksson, Michael Kokkolaras

IDETC-CIE 2020; V11AT11A031doi:https://doi.org/10.1115/DETC2020-22458

Abstract

View Articletitled, Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements

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Topics: Design , Optimization , Design methodology , Economics , Engineering design , Manufacturing , Manufacturing technology , Modeling

Rule of Mixtures Model for 3D Printed Kevlar Reinforced Nylon: Determination of Volume Fraction Using Thermal Gravimetric Analysis

Anosh P. Amaria, Jason N. Armstrong, Felipe M. Pasquali, John F. Hall

IDETC-CIE 2020; V11AT11A032doi:https://doi.org/10.1115/DETC2020-22506

Abstract

View Articletitled, Rule of Mixtures Model for 3D Printed Kevlar Reinforced Nylon: Determination of Volume Fraction Using Thermal Gravimetric Analysis

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Topics: Additive manufacturing , Fibers , Nylon fabrics , Thermogravimetry

Structure, Process, and Material Influences for 3D Printed Lattices Designed With Mixed Unit Cells

Gabriel Briguiet, Paul F. Egan

IDETC-CIE 2020; V11AT11A033doi:https://doi.org/10.1115/DETC2020-22575

Abstract

View Articletitled, Structure, Process, and Material Influences for 3D Printed Lattices Designed With Mixed Unit Cells

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Topics: Additive manufacturing , Design , Elastic moduli , Manufacturing , Mechanical testing , Anisotropy , Biocompatible polymers , Compression , Design automation , Materials testing

Enhanced Toolpath Planning for Fused Filament Fabrication

Hongrui Chen, Xingchen Liu

IDETC-CIE 2020; V11AT11A034doi:https://doi.org/10.1115/DETC2020-22725

Abstract

View Articletitled, Enhanced Toolpath Planning for Fused Filament Fabrication

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Topics: Additive manufacturing , Algorithms , Computer software , Geometry , Manufacturing , Mechanical properties , Optimization , Printing , Topology

Design for Market Systems

A Consumer Dissatisfaction Model Linking Dynamic Pricing With Shifted Product-Use in Residential Electricity Markets

Samuel Dunbar, Scott Ferguson

IDETC-CIE 2020; V11AT11A035doi:https://doi.org/10.1115/DETC2020-22499

Abstract

View Articletitled, A Consumer Dissatisfaction Model Linking Dynamic Pricing With Shifted Product-Use in Residential Electricity Markets

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Topics: Preferences , Renewable energy sources , Stress , Tradeoffs

A Weighted Network Modeling Approach for Analyzing Product Competition

Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Wei Chen

IDETC-CIE 2020; V11AT11A036doi:https://doi.org/10.1115/DETC2020-22591

Abstract

View Articletitled, A Weighted Network Modeling Approach for Analyzing Product Competition

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Topics: Modeling , Preferences

Global Product Design Platforming: A Comparison of Two Methods to Find Equilibrium Solutions

Sarah S. Case, Kate S. Whitefoot

IDETC-CIE 2020; V11AT11A037doi:https://doi.org/10.1115/DETC2020-22658

Abstract

View Articletitled, Global Product Design Platforming: A Comparison of Two Methods to Find Equilibrium Solutions

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Topics: Design , Equilibrium (Physics) , Product design , Batteries , Algorithms , China , Hybrid electric vehicles , Optimization , Sales

Design for Resilience and Failure Recovery

Reliability-Based Reinforcement Learning Under Uncertainty

Zequn Wang, Narendra Patwardhan

IDETC-CIE 2020; V11AT11A038doi:https://doi.org/10.1115/DETC2020-22019

Abstract

View Articletitled, Reliability-Based Reinforcement Learning Under Uncertainty

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Topics: Optimization , Reliability , Uncertainty , Control equipment , Design , Dynamics (Mechanics) , Modeling , Pendulums , Poles (Building) , Reliability-based optimization

Stochastic Stackelberg Games for Agent-Driven Robust Design

Sean C. Rismiller, Jonathan Cagan, Christopher McComb

IDETC-CIE 2020; V11AT11A039doi:https://doi.org/10.1115/DETC2020-22153

Abstract

View Articletitled, Stochastic Stackelberg Games for Agent-Driven Robust Design

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Topics: Design

Temporal Fault Injection Considerations in Resilience Quantification

Daniel Hulse, Christopher Hoyle, Irem Y. Tumer, Kai Goebel, Chetan Kulkarni

IDETC-CIE 2020; V11AT11A040doi:https://doi.org/10.1115/DETC2020-22154

Abstract

View Articletitled, Temporal Fault Injection Considerations in Resilience Quantification

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Topics: Resilience , Errors , Design , Approximation , Dynamic models , Engineering simulation , Robustness , Simulation

Designing Deep Transfer Networks for Bearing Fault Diagnosis With Heterogeneous Data Fusion

Yunsheng Su, Zequn Wang

IDETC-CIE 2020; V11AT11A041doi:https://doi.org/10.1115/DETC2020-22203

Abstract

View Articletitled, Designing Deep Transfer Networks for Bearing Fault Diagnosis With Heterogeneous Data Fusion

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Topics: Artificial neural networks , Bearings , Data fusion , Design , Fault diagnosis , Optimization

Risk-Averse Optimization for Resilience Enhancement Under Uncertainty

Jiaxin Wu, Pingfeng Wang

IDETC-CIE 2020; V11AT11A042doi:https://doi.org/10.1115/DETC2020-22226

Abstract

View Articletitled, Risk-Averse Optimization for Resilience Enhancement Under Uncertainty

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Topics: Integer programming , Optimization , Resilience , Risk , Uncertainty

Expected Uncertainty Reduction for Sequential Kriging-Based Reliability Analysis

Meng Li, Sheng Shen, Vahid Barzegar, Mohammadkazem Sadoughi, Simon Laflamme, Chao Hu

IDETC-CIE 2020; V11AT11A043doi:https://doi.org/10.1115/DETC2020-22680

Abstract

View Articletitled, Expected Uncertainty Reduction for Sequential Kriging-Based Reliability Analysis

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Topics: Event history analysis , Uncertainty

Design of Complex Systems

Structural Design Exploration for Product Architecture Design

Masato Toi, Yutaka Nomaguchi, Kikuo Fujita

IDETC-CIE 2020; V11AT11A044doi:https://doi.org/10.1115/DETC2020-22599

Abstract

View Articletitled, Structural Design Exploration for Product Architecture Design

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Topics: Design , Structural design , Design methodology , Grasping , System architecture

Towards Engineering Complex Socio-Technical Systems Using Network Motifs: A Case Study on Bike-Sharing Systems

Yinshuang Xiao, Zhenghui Sha

IDETC-CIE 2020; V11AT11A045doi:https://doi.org/10.1115/DETC2020-22631

Abstract

View Articletitled, Towards Engineering Complex Socio-Technical Systems Using Network Motifs: A Case Study on Bike-Sharing Systems

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Topics: Bicycles

Design Space Analysis Method for Support of System Design Under the Consideration of Uncertainties in the Early Design Stage

Kazuhiro Aoyama, Yoshihiro Uchibori, Kazuya Oizumi, Shigeki Hiramatsu, Hiroshi Unesaki, Shyuichi Kondo

IDETC-CIE 2020; V11AT11A046doi:https://doi.org/10.1115/DETC2020-22649

Abstract

View Articletitled, Design Space Analysis Method for Support of System Design Under the Consideration of Uncertainties in the Early Design Stage

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Topics: Design , Modeling , Uncertainty

Enhancements to the Perfect Matching Approach for Graph Enumeration-Based Engineering Challenges

Daniel R. Herber

IDETC-CIE 2020; V11AT11A047doi:https://doi.org/10.1115/DETC2020-22774

Abstract

View Articletitled, Enhancements to the Perfect Matching Approach for Graph Enumeration-Based Engineering Challenges

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Topics: Design , Engineering design , Engineering systems and industry applications , System architecture

Design of Engineering Materials and Structures

Quantification of Uncertainties Distributed in Network-Like Systems

Zihan Wang, Hongyi Xu

IDETC-CIE 2020; V11AT11A048doi:https://doi.org/10.1115/DETC2020-22082

Abstract

View Articletitled, Quantification of Uncertainties Distributed in Network-Like Systems

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Topics: Simulation , Uncertainty , Uncertainty quantification , Additive manufacturing , Engineering systems and industry applications , Gaussian distribution , Heat conduction , Metamaterials , Stochastic processes

Topology Optimization for Stiffened Panels: A Ground Structure Method

Jean-François Gamache, Aurelian Vadean, Nicolas Dodane, Sofiane Achiche

IDETC-CIE 2020; V11AT11A049doi:https://doi.org/10.1115/DETC2020-22103

Abstract

View Articletitled, Topology Optimization for Stiffened Panels: A Ground Structure Method

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Topics: Aircraft , Design , Optimization , Topology

Network Redundancy: A Key Design Factor for Cooling Networks

Reza Pejman, Ahmad Raeisi Najafi

IDETC-CIE 2020; V11AT11A050doi:https://doi.org/10.1115/DETC2020-22107

Abstract

View Articletitled, Network Redundancy: A Key Design Factor for Cooling Networks

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Topics: Cooling , Design , Redundancy (Engineering) , Microchannels , Topology , Composite materials , Optimization , Fluids , Manufacturing , Shape optimization

Large Scale Topology Optimization of 3D Static Mixers

Sicheng Sun, Jaal Ghandhi, Xiaoping Qian

IDETC-CIE 2020; V11AT11A051doi:https://doi.org/10.1115/DETC2020-22132

Abstract

View Articletitled, Large Scale Topology Optimization of 3D Static Mixers

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Topics: Optimization , Topology , Pressure drop , Convection , Diffusion (Physics) , Fluids , Navier-Stokes equations , Reynolds number

Computational Design of Compositionally Graded Alloys for Property Monotonicity

Tanner Kirk, Richard Malak, Raymundo Arroyave

IDETC-CIE 2020; V11AT11A052doi:https://doi.org/10.1115/DETC2020-22235

Abstract

View Articletitled, Computational Design of Compositionally Graded Alloys for Property Monotonicity

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Topics: Alloys , Design , Clearances (Engineering) , Design methodology , Dimensions , Fracture (Materials) , Metals , Optimization , Temperature , Thermal expansion

Simulation Assisted Design of LCO Cathode Materials With High Performance Stability

Zhuoyuan Zheng, Parth Bansal, Pingfeng Wang, Yumeng Li

IDETC-CIE 2020; V11AT11A053doi:https://doi.org/10.1115/DETC2020-22357

Abstract

View Articletitled, Simulation Assisted Design of LCO Cathode Materials With High Performance Stability

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Topics: Cobalt , Design , Lithium , Lithium-ion batteries , Simulation , Stability , Diffusion (Physics) , Finite element model , Active materials , Chemical stability