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Proceedings Papers

Proceedings Volume Cover
ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 26–29, 2018
Quebec City, Quebec, Canada
Conference Sponsors:
  • Design Engineering Division
  • Computers and Information in Engineering Division
ISBN:
978-0-7918-5175-3
Volume 2A: 44th Design Automation Conference

44th Design Automation Conference

Active System Design

Experimentally-Infused Active System Optimization Framework: Theoretical Convergence Analysis and Airborne Wind Energy Case Study
Nihar Deodhar, Christopher Vermillion
IDETC-CIE 2018; V02AT03A001https://doi.org/10.1115/DETC2018-85305
View Articletitled, Experimentally-Infused Active System Optimization Framework: Theoretical Convergence Analysis and Airborne Wind Energy Case Study
PDF
Topics: Optimization , Wind energy , Computer simulation , Design , Control equipment , Engineering simulation , Simulation
Robust MDSDO for Co-Design of Stochastic Dynamic Systems
Saeed Azad, Michael J. Alexander-Ramos
IDETC-CIE 2018; V02AT03A002https://doi.org/10.1115/DETC2018-85855
View Articletitled, Robust MDSDO for Co-Design of Stochastic Dynamic Systems
PDF
Topics: Design , Dynamic systems , Optimization , Uncertainty , Accounting , Control systems , Engineering systems and industry applications
Decomposition-Based MDSDO for Co-Design of Large-Scale Dynamic Systems
Mohammad Behtash, Michael J. Alexander-Ramos
IDETC-CIE 2018; V02AT03A003https://doi.org/10.1115/DETC2018-85935
View Articletitled, Decomposition-Based MDSDO for Co-Design of Large-Scale Dynamic Systems
PDF
Topics: Design , Dynamic systems , Control systems , Optimization , Algorithms
Integrative Control and Design Framework for an Actively Variable Twist Wind Turbine Blade to Increase Efficiency
Hamid Khakpour Nejadkhaki, John F. Hall
IDETC-CIE 2018; V02AT03A004https://doi.org/10.1115/DETC2018-86098
View Articletitled, Integrative Control and Design Framework for an Actively Variable Twist Wind Turbine Blade to Increase Efficiency
PDF
Topics: Blades , Design , Wind turbines , Shapes , Actuators , Stiffness , Design engineering , Wind velocity , Additive manufacturing , Algorithms
Optimal Flow Control and Single Split Architecture Exploration for Fluid-Based Thermal Management
Satya R. T. Peddada, Daniel R. Herber, Herschel C. Pangborn, Andrew G. Alleyne, James T. Allison
IDETC-CIE 2018; V02AT03A005https://doi.org/10.1115/DETC2018-86148
View Articletitled, Optimal Flow Control and Single Split Architecture Exploration for Fluid-Based Thermal Management
PDF
Topics: Flow control , Fluids , Thermal management , Architecture , Cooling , Cooling systems , Heat , Stress , Temperature , Design
A Problem Class With Combined Architecture, Plant, and Control Design Applied to Vehicle Suspensions
Daniel R. Herber, James T. Allison
IDETC-CIE 2018; V02AT03A006https://doi.org/10.1115/DETC2018-86213
View Articletitled, A Problem Class With Combined Architecture, Plant, and Control Design Applied to Vehicle Suspensions
PDF
Topics: Design , Suspension systems , Architecture , Optimization , Dynamic models , Engineering systems and industry applications

Artificial Intelligence and Computational Synthesis

Synthesizing Designs With Inter-Part Dependencies Using Hierarchical Generative Adversarial Networks
Wei Chen, Ashwin Jeyaseelan, Mark Fuge
IDETC-CIE 2018; V02AT03A007https://doi.org/10.1115/DETC2018-85339
View Articletitled, Synthesizing Designs With Inter-Part Dependencies Using Hierarchical Generative Adversarial Networks
PDF
Topics: Design , Geometry , Shapes , Trains
Design Automation by Integrating Generative Adversarial Networks and Topology Optimization
Sangeun Oh, Yongsu Jung, Ikjin Lee, Namwoo Kang
IDETC-CIE 2018; V02AT03A008https://doi.org/10.1115/DETC2018-85506
View Articletitled, Design Automation by Integrating Generative Adversarial Networks and Topology Optimization
PDF
Topics: Design automation , Optimization , Topology , Design , Automobiles , Machinery , Product design , Wheels
Kinematic Synthesis Using Reinforcement Learning
Kaz Vermeer, Reinier Kuppens, Justus Herder
IDETC-CIE 2018; V02AT03A009https://doi.org/10.1115/DETC2018-85529
View Articletitled, Kinematic Synthesis Using Reinforcement Learning
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Topics: Kinematics , Algorithms , Design , Engineering simulation , Simulation , Trajectories (Physics)
A Two-Tiered Grammatical Approach for Agent-Based Computational Design
Lucas Puentes, Christopher McComb, Jonathan Cagan
IDETC-CIE 2018; V02AT03A010https://doi.org/10.1115/DETC2018-85648
View Articletitled, A Two-Tiered Grammatical Approach for Agent-Based Computational Design
PDF
Topics: Design , Algorithms , Electricity (Physics) , Engineering design processes , Innovation , Ocean waves , Wave energy converters
Reducing Evaluation Cost for Circuit Synthesis Using Active Learning
Tinghao Guo, Daniel R. Herber, James T. Allison
IDETC-CIE 2018; V02AT03A011https://doi.org/10.1115/DETC2018-85654
View Articletitled, Reducing Evaluation Cost for Circuit Synthesis Using Active Learning
PDF
Topics: Circuits , Design , Architecture , Engineering design , Engineering simulation , Gases , Genetic algorithms , Machine learning , Simulation , Space
A Spatial Grammar Method for the Computational Design Synthesis of Virtual Soft Robots
Merel van Diepen, Kristina Shea
IDETC-CIE 2018; V02AT03A012https://doi.org/10.1115/DETC2018-85896
View Articletitled, A Spatial Grammar Method for the Computational Design Synthesis of Virtual Soft Robots
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Topics: Design , Robots , Collisions (Physics) , Simulation , Feedback , Locomotives , Modeling , Robotics , Simulated annealing , Springs
Using an Intelligent UAV Swarm in Natural Disaster Environments
Jamie Asbach, Souma Chowdhury, Kemper Lewis
IDETC-CIE 2018; V02AT03A013https://doi.org/10.1115/DETC2018-86112
View Articletitled, Using an Intelligent UAV Swarm in Natural Disaster Environments
PDF
Topics: Natural disasters , Unmanned aerial vehicles , Algorithms , Disasters , Floods , Sensors
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented With Fuzzy Clustering
Payam Ghassemi, Souma Chowdhury
IDETC-CIE 2018; V02AT03A014https://doi.org/10.1115/DETC2018-86161
View Articletitled, Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented With Fuzzy Clustering
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Topics: Fuzzy clustering , Robots , Algorithms , Teams , Disasters , Robotics , Warehouses
A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs
Matthew Dering, James Cunningham, Raj Desai, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker
IDETC-CIE 2018; V02AT03A015https://doi.org/10.1115/DETC2018-86333
View Articletitled, A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs
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Topics: Physics , Virtual reality , Design , Artificial neural networks , Boats , Computers , Errors , Machinery , Probability , Simulation

Data-Driven Design

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty
Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara
IDETC-CIE 2018; V02AT03A016https://doi.org/10.1115/DETC2018-85310
View Articletitled, Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty
PDF
Topics: Stress , Structural analysis , Uncertainty , Algorithms , Errors , Experimental design , Finite element analysis , Geometry , Regression models , Structural design
Approaches for Supporting Exploration for Analogical Inspiration With Behavior, Material and Component Based Structural Representations of Patent Databases
Hyeonik Song, Katherine Fu
IDETC-CIE 2018; V02AT03A017https://doi.org/10.1115/DETC2018-85591
View Articletitled, Approaches for Supporting Exploration for Analogical Inspiration With Behavior, Material and Component Based Structural Representations of Patent Databases
PDF
Topics: Databases , Patents , Design , Design engineering
Design Strategy Transfer in Cognitively-Inspired Agents
Ayush Raina, Christopher McComb, Jonathan Cagan
IDETC-CIE 2018; V02AT03A018https://doi.org/10.1115/DETC2018-85599
View Articletitled, Design Strategy Transfer in Cognitively-Inspired Agents
PDF
Topics: Design , Computers
Short-Term Load Forecasting With Different Aggregation Strategies
Cong Feng, Jie Zhang
IDETC-CIE 2018; V02AT03A019https://doi.org/10.1115/DETC2018-86084
View Articletitled, Short-Term Load Forecasting With Different Aggregation Strategies
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Topics: Load forecasting , Stress , Algorithms , Artificial neural networks , Machine learning , Machinery , Power systems (Machinery) , Robustness , Structures , Support vector machines
Least Bumpiness Calibration With Extrapolative Bias Correction
Chanyoung Park, Nam H. Kim, Raphael T. Haftka
IDETC-CIE 2018; V02AT03A020https://doi.org/10.1115/DETC2018-86163
View Articletitled, Least Bumpiness Calibration With Extrapolative Bias Correction
PDF
Topics: Calibration , Errors , Risk , Interpolation , Parameter estimation

Decision Making in Engineering Design

How Do Designers Choose Among Multiple Noisy Information Sources in Engineering Design Optimization? An Experimental Study
Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal
IDETC-CIE 2018; V02AT03A021https://doi.org/10.1115/DETC2018-85460
View Articletitled, How Do Designers Choose Among Multiple Noisy Information Sources in Engineering Design Optimization? An Experimental Study
PDF
Topics: Engineering design , Optimization , Uncertainty , Design , Decision making , Model development , Performance evaluation
Ontology-Based Unified Representation of Dynamic Simulation Models in Engineering Design
Jun Yu, Zhenjun Ming, Guoxin Wang, Yan Yan, Xiaoping Lan
IDETC-CIE 2018; V02AT03A022https://doi.org/10.1115/DETC2018-85536
View Articletitled, Ontology-Based Unified Representation of Dynamic Simulation Models in Engineering Design
PDF
Topics: Engineering design , Ontologies , Simulation models , Design , Simulation , Design automation , Errors , Semantics
Over-Design Versus Redesign As a Response to Future Requirements
Jeffrey D. Allen, Phillip D. Stevenson, Christopher A. Mattson, Nile W. Hatch
IDETC-CIE 2018; V02AT03A023https://doi.org/10.1115/DETC2018-86156
View Articletitled, Over-Design Versus Redesign As a Response to Future Requirements
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Topics: Design , Industrial research , Product development

Design and Optimization of Sustainable Energy Systems

Comparing Machine Learning Regression Techniques for Transmission-Related Storm Outages
Caitlyn E. Clark, Bryony DuPont
IDETC-CIE 2018; V02AT03A024https://doi.org/10.1115/DETC2018-85127
View Articletitled, Comparing Machine Learning Regression Techniques for Transmission-Related Storm Outages
PDF
Topics: Machine learning , Storms , Polynomials , Cost benefit analysis , Probability , Risk , Shorelines , Support vector machines
A Pareto Trade-Off Analysis of Cost Versus Greenhouse Gas Emissions for a Model of a Mid-Sized Vehicle With Various Powertrains
Karim Hamza, Kenneth P. Laberteaux, John Willard, Kang-Ching Chu
IDETC-CIE 2018; V02AT03A025https://doi.org/10.1115/DETC2018-85256
View Articletitled, A Pareto Trade-Off Analysis of Cost Versus Greenhouse Gas Emissions for a Model of a Mid-Sized Vehicle With Various Powertrains
PDF
Topics: Emissions , Tradeoffs , Vehicles , Energy consumption , Hybrid electric vehicles , Architecture , Batteries , Carbon , Computer software , Corporate average fuel economy
Multi-Criteria Mission Planning for a Solar-Powered Multi-Robot System
Di Wang, Mengqi Hu, Yang Gao
IDETC-CIE 2018; V02AT03A026https://doi.org/10.1115/DETC2018-85683
View Articletitled, Multi-Criteria Mission Planning for a Solar-Powered Multi-Robot System
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Topics: Robots , Solar power , Energy consumption , Solar energy , Integer programming , Tradeoffs , Travel time (Traffic engineering) , Vehicles
An Electricity Grid As an Agent-Based Market System: Exploring the Effects of Policy on Sustainability
Steven Hoffenson, Marcin Wisniowski
IDETC-CIE 2018; V02AT03A027https://doi.org/10.1115/DETC2018-86031
View Articletitled, An Electricity Grid As an Agent-Based Market System: Exploring the Effects of Policy on Sustainability
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Topics: Air pollution , Electric power generation , Emissions , Governments , Modeling , Public policy , Regulations , Renewable energy , Renewable energy sources , Sustainability
Control of Shared Energy Storage Assets Within Building Clusters Using Reinforcement Learning
Philip Odonkor, Kemper Lewis
IDETC-CIE 2018; V02AT03A028https://doi.org/10.1115/DETC2018-86094
View Articletitled, Control of Shared Energy Storage Assets Within Building Clusters Using Reinforcement Learning
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Topics: Algorithms , Batteries , Energy storage

Design for Additive Manufacturing

Design of Mechanical Metamaterials via Constrained Bayesian Optimization
Conner Sharpe, Carolyn Conner Seepersad, Seth Watts, Dan Tortorelli
IDETC-CIE 2018; V02AT03A029https://doi.org/10.1115/DETC2018-85270
View Articletitled, Design of Mechanical Metamaterials via Constrained Bayesian Optimization
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Topics: Design , Metamaterials , Optimization , Additive manufacturing , Modeling , Stiffness , Weight (Mass)
Design Exploration of Reliably Manufacturable Materials and Structures With Applications to a Microstereolithography System
Clinton Morris, Carolyn C. Seepersad
IDETC-CIE 2018; V02AT03A030https://doi.org/10.1115/DETC2018-85272
View Articletitled, Design Exploration of Reliably Manufacturable Materials and Structures With Applications to a Microstereolithography System
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Topics: Design , Manufacturing , Stiffness , Materials properties , Metamaterials , Accounting , Additive manufacturing , Composite materials , Dimensions , Geometry
Data-Driven Additive Manufacturing Constraints for Topology Optimization
Benjamin M. Weiss, Joshua M. Hamel, Mark A. Ganter, Duane W. Storti
IDETC-CIE 2018; V02AT03A031https://doi.org/10.1115/DETC2018-85391
View Articletitled, Data-Driven Additive Manufacturing Constraints for Topology Optimization
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Topics: Additive manufacturing , Optimization , Topology , Shapes , Design , Algorithms , Filters , Manufacturing
A Voxel-Based Design Approach for Creating Functionally Graded Structures via Material Extrusion Additive Manufacturing
Daniel R. Spillane, Nicholas A. Meisel
IDETC-CIE 2018; V02AT03A032https://doi.org/10.1115/DETC2018-85618
View Articletitled, A Voxel-Based Design Approach for Creating Functionally Graded Structures via Material Extrusion Additive Manufacturing
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Topics: Additive manufacturing , Design , Extruding , Geometry , Workflow , Functionally graded materials , Manufacturing , Materials properties , Nozzles
Production Planning for Mass Customization in Additive Manufacturing: Build Orientation Determination, 2D Packing and Scheduling
Yosep Oh, Chi Zhou, Sara Behdad
IDETC-CIE 2018; V02AT03A033https://doi.org/10.1115/DETC2018-85639
View Articletitled, Production Planning for Mass Customization in Additive Manufacturing: Build Orientation Determination, 2D Packing and Scheduling
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Topics: Additive manufacturing , Packing (Shipments) , Packings (Cushioning) , Production planning , Cycles , Machinery , Algorithms , Manufacturing , Shapes , Testing
Customization of a 3D Printed Prosthetic Finger Using Parametric Modeling
Daniel Lim, Thomás Georgiou, Aashish Bhardwaj, Grace D. O’Connell, Alice M. Agogino
IDETC-CIE 2018; V02AT03A034https://doi.org/10.1115/DETC2018-85645
View Articletitled, Customization of a 3D Printed Prosthetic Finger Using Parametric Modeling
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Topics: Additive manufacturing , Artificial limbs , Modeling , Prostheses , Design , Design engineering , Linkages , Medical devices , Weight (Mass)
Design for Additive Manufacturing of Cellular Compliant Mechanism Using Thermal History Feedback
Jivtesh Khurana, Bradley Hanks, Mary Frecker
IDETC-CIE 2018; V02AT03A035https://doi.org/10.1115/DETC2018-85819
View Articletitled, Design for Additive Manufacturing of Cellular Compliant Mechanism Using Thermal History Feedback
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Topics: Additive manufacturing , Compliant mechanisms , Design , Feedback , Workflow , Absorption , Manufacturing , Metals , Simulation , Finite element analysis
A Design for Additive Manufacturing Ontology to Support Manufacturability Analysis
Samyeon Kim, David W. Rosen, Paul Witherell, Hyunwoong Ko
IDETC-CIE 2018; V02AT03A036https://doi.org/10.1115/DETC2018-85848
View Articletitled, A Design for Additive Manufacturing Ontology to Support Manufacturability Analysis
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Topics: Additive manufacturing , Design , Ontologies , Manufacturing , Feedback
Redesign of the Femoral Stem for a Total Hip Arthroplasty for Additive Manufacturing
Bradley Hanks, Shantanab Dinda, Sanjay Joshi
IDETC-CIE 2018; V02AT03A037https://doi.org/10.1115/DETC2018-85850
View Articletitled, Redesign of the Femoral Stem for a Total Hip Arthroplasty for Additive Manufacturing
PDF
Topics: Additive manufacturing , Arthroplasty , Hip joint prostheses , Anatomy , Bone , Stress , Computer software , Design , Optimization , Workflow
Preliminary User Study on Design Heuristics for Additive Manufacturing
Alexandra Blösch-Paidosh, Kristina Shea
IDETC-CIE 2018; V02AT03A038https://doi.org/10.1115/DETC2018-85908
View Articletitled, Preliminary User Study on Design Heuristics for Additive Manufacturing
PDF
Topics: Additive manufacturing , Design , Manufacturing , Shapes
Computational Design of a Personalized Artificial Spinal Disc for Additive Manufacturing With Physiological Rotational Motions
Zhiyang Yu, Tino Stanković, Kristina Shea
IDETC-CIE 2018; V02AT03A039https://doi.org/10.1115/DETC2018-85921
View Articletitled, Computational Design of a Personalized Artificial Spinal Disc for Additive Manufacturing With Physiological Rotational Motions
PDF
Topics: Additive manufacturing , Design , Disks , Physiology , Rotation , Optimization , Geometry , Absorption , Biomimetics , Composite materials
Performance Oriented Design of Semiregular Anisotropic Porous Structures
Chao Xu, Lili Pan, Ming Li, Shuming Gao
IDETC-CIE 2018; V02AT03A040https://doi.org/10.1115/DETC2018-85928
View Articletitled, Performance Oriented Design of Semiregular Anisotropic Porous Structures
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Topics: Anisotropy , Design , Additive manufacturing , Degrees of freedom , Manufacturing technology , Porous materials , Shapes
The Earlier the Better? Investigating the Importance of Timing on Effectiveness of Design for Additive Manufacturing Education
Rohan Prabhu, Scarlett R. Miller, Timothy W. Simpson, Nicholas A. Meisel
IDETC-CIE 2018; V02AT03A041https://doi.org/10.1115/DETC2018-85953
View Articletitled, The Earlier the Better? Investigating the Importance of Timing on Effectiveness of Design for Additive Manufacturing Education
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Topics: Additive manufacturing , Design , Education , Students , Manufacturing , Design for Manufacturing , Engineering design , Machining , Teaching
Topology, Shape, and Size Optimization of Additively Manufactured Lattice Structures Based on the Superformula
Andrea Nessi, Tino Stanković
IDETC-CIE 2018; V02AT03A042https://doi.org/10.1115/DETC2018-86191
View Articletitled, Topology, Shape, and Size Optimization of Additively Manufactured Lattice Structures Based on the Superformula
PDF
Topics: Additive manufacturing , Optimization , Shapes , Topology , Design , Biomimetics , Design methodology , Modeling , Performance , Simulated annealing
From Conventional to Additive Manufacturing: Determining Component Fabrication Feasibility
Seyedeh Elaheh Ghiasian, Prakhar Jaiswal, Rahul Rai, Kemper Lewis
IDETC-CIE 2018; V02AT03A043https://doi.org/10.1115/DETC2018-86238
View Articletitled, From Conventional to Additive Manufacturing: Determining Component Fabrication Feasibility
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Topics: Additive manufacturing , Manufacturing , Aerospace industry , Casting , Machining , Manifolds , Valves
Projection-Based Overhang Constraints: Implementing an Efficient Adjoint Formulation for Sensitivity Analysis
Reza Behrou, James K. Guest, Andrew T. Gaynor
IDETC-CIE 2018; V02AT03A044https://doi.org/10.1115/DETC2018-86266
View Articletitled, Projection-Based Overhang Constraints: Implementing an Efficient Adjoint Formulation for Sensitivity Analysis
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Topics: Filtration , Optimization , Sensitivity analysis
An Interactive Manufacturability Analysis and Tolerance Allocation Tool for Additive Manufacturing
Hannah D. Budinoff, Sara McMains, Alberto Rinaldi
IDETC-CIE 2018; V02AT03A045https://doi.org/10.1115/DETC2018-86344
View Articletitled, An Interactive Manufacturability Analysis and Tolerance Allocation Tool for Additive Manufacturing
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Topics: Additive manufacturing , Visualization , Computer programming , Delays , Design , Manufacturing , Preferences

Design for Market Systems

Decision Support for R&D Activities of Innovative Technologies
Alexandre Bekhradi, Bernard Yannou, François Cluzel, Michael Kokkolaras
IDETC-CIE 2018; V02AT03A046https://doi.org/10.1115/DETC2018-85657
View Articletitled, Decision Support for R&D Activities of Innovative Technologies
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Topics: Bridges (Structures) , Decision making , Innovation , Shapes , Uncertainty
Evaluating User Intention for Uptake of Clean Technologies Using the Theory of Planned Behavior
Mohammad H. Pakravan, Nordica MacCarty
IDETC-CIE 2018; V02AT03A047https://doi.org/10.1115/DETC2018-85992
View Articletitled, Evaluating User Intention for Uptake of Clean Technologies Using the Theory of Planned Behavior
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Topics: Biomass , Decision making , Design , Emissions , Fuels , Renewable energy , Smoke
Managing Conflicting Water Resource Goals and Uncertainties in a Dam-Network by Exploring the Solution Space
Lin Guo, Hamed Zamanisabzi, Thomas M. Neeson, Janet K. Allen, Farrokh Mistree
IDETC-CIE 2018; V02AT03A048https://doi.org/10.1115/DETC2018-86018
View Articletitled, Managing Conflicting Water Resource Goals and Uncertainties in a Dam-Network by Exploring the Solution Space
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Topics: Dams , Uncertainty , Water , Design , Preferences , Reservoirs , Sustainability , Precipitation , Water supply
Social Impact in Product Design: An Exploration of Current Industry Practices
Andrew T. Pack, Emma Rose Phipps, Christopher A. Mattson, Eric C. Dahlin
IDETC-CIE 2018; V02AT03A049https://doi.org/10.1115/DETC2018-86170
View Articletitled, Social Impact in Product Design: An Exploration of Current Industry Practices
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Topics: Product design , Design , Engineers , Governments , Life cycle assessment , Regulations
Modeling Spatiotemporal Heterogeneity of Customer Preferences in Engineering Design
Youyi Bi, Jian Xie, Zhenghui Sha, Mingxian Wang, Yan Fu, Wei Chen
IDETC-CIE 2018; V02AT03A050https://doi.org/10.1115/DETC2018-86245
View Articletitled, Modeling Spatiotemporal Heterogeneity of Customer Preferences in Engineering Design
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Topics: Engineering design , Modeling , Preferences , Spatiotemporal phenomena , Sales , Design , Fuel consumption , Product design , Roads

Design for Resilience and Failure Recovery

Passive Variable Friction Damper for Increased Structural Resilience to Multi-Hazard Excitations
Austin Downey, MohammadKazem Sadoughi, Liang Cao, Simon Laflamme, Chao Hu
IDETC-CIE 2018; V02AT03A051https://doi.org/10.1115/DETC2018-85207
View Articletitled, Passive Variable Friction Damper for Increased Structural Resilience to Multi-Hazard Excitations
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Topics: Dampers , Excitation , Friction , Hazards , Resilience , Wind , Active damping , Earthquakes , Control equipment , Control systems
Optimizing Function-Based Fault Propagation Model Resilience Using Expected Cost Scoring
Daniel Hulse, Christopher Hoyle, Kai Goebel, Irem Y. Tumer
IDETC-CIE 2018; V02AT03A052https://doi.org/10.1115/DETC2018-85318
View Articletitled, Optimizing Function-Based Fault Propagation Model Resilience Using Expected Cost Scoring
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Topics: Resilience , Design , Optimization , Risk , Evolutionary algorithms , Failure , Flow (Dynamics) , Simulation , Tradeoffs
Sequential Accelerated Life Testing Design for System Reliability Analysis With Untestable Components
Zhen Hu, Zissimos P. Mourelatos
IDETC-CIE 2018; V02AT03A053https://doi.org/10.1115/DETC2018-85373
View Articletitled, Sequential Accelerated Life Testing Design for System Reliability Analysis With Untestable Components
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Topics: Accelerated life testing , Design , Event history analysis , Reliability , Testing , Uncertainty , Cycles , Stress , Uncertainty analysis
Towards the Design of Resilient Waste-to-Energy Systems Using Bayesian Networks
W. H. Jonathan Mak, Michel-Alexandre Cardin, Liu Ziqi, P. John Clarkson
IDETC-CIE 2018; V02AT03A054https://doi.org/10.1115/DETC2018-85452
View Articletitled, Towards the Design of Resilient Waste-to-Energy Systems Using Bayesian Networks
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Topics: Design , Waste-to-energy , Resilience , Uncertainty , Volatility , Engineering systems and industry applications , People and organizations , Simulation
A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience
Jiaxin Wu, Pingfeng Wang
IDETC-CIE 2018; V02AT03A055https://doi.org/10.1115/DETC2018-85708
View Articletitled, A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience
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Topics: Engineering design , Resilience , Failure , Dynamic systems , Electric power transmission , Modeling
A Time-Dependent Reliability Estimation Method Based on Gaussian Process Regression
Wang Han, Xiaoling Zhang, Xiesi Huang, Haiqing Li
IDETC-CIE 2018; V02AT03A056https://doi.org/10.1115/DETC2018-86294
View Articletitled, A Time-Dependent Reliability Estimation Method Based on Gaussian Process Regression
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Topics: Reliability , Stress , Failure , Machine learning , Algorithms , Fatigue life , Gears , Modeling , Physics , Cycles
Identifying Failure Modes and Effects Through Design for Assembly Analysis
Phyo Htet Hein, Nate Voris, Jiaying Dai, Beshoy W. Morkos
IDETC-CIE 2018; V02AT03A057https://doi.org/10.1115/DETC2018-86314
View Articletitled, Identifying Failure Modes and Effects Through Design for Assembly Analysis
PDF
Topics: Design , Failure mechanisms , Manufacturing , Failure mode and effects analysis , Design for Manufacturing , Failure , Corrective actions , Risk control
Online Estimation of Lithium-Ion Battery Capacity Using Deep Convolutional Neural Networks
Sheng Shen, M. K. Sadoughi, Xiangyi Chen, Mingyi Hong, Chao Hu
IDETC-CIE 2018; V02AT03A058https://doi.org/10.1115/DETC2018-86347
View Articletitled, Online Estimation of Lithium-Ion Battery Capacity Using Deep Convolutional Neural Networks
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Topics: Artificial neural networks , Lithium-ion batteries , Batteries , Cycles , Failure , Lithium , Machine learning , Machinery , Reliability , Resilience

Design of Complex Systems

Model Validation in Early Phase of Designing Complex Engineered Systems
Elham Keshavarzi, Kai Goebel, Irem Y. Tumer, Christopher Hoyle
IDETC-CIE 2018; V02AT03A059https://doi.org/10.1115/DETC2018-85137
View Articletitled, Model Validation in Early Phase of Designing Complex Engineered Systems
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Topics: Design , Model validation , Simulation , Failure , Failure mode and effects analysis , Manufacturing , Propulsion systems , Sensitivity analysis
Understanding the Effect of Task Complexity and Problem-Solving Skills on the Design Performance of Agents in Systems Engineering
Salar Safarkhani, Ilias Bilionis, Jitesh H. Panchal
IDETC-CIE 2018; V02AT03A060https://doi.org/10.1115/DETC2018-85941
View Articletitled, Understanding the Effect of Task Complexity and Problem-Solving Skills on the Design Performance of Agents in Systems Engineering
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Topics: Design , Systems engineering , Complex systems , Performance , Systems engineers , Economics , Engineers , Noise (Sound) , Optimization , Simulation
Design of Transfer Reinforcement Learning Under Low Task Similarity
Xiongqing Liu, Yan Jin
IDETC-CIE 2018; V02AT03A061https://doi.org/10.1115/DETC2018-86013
View Articletitled, Design of Transfer Reinforcement Learning Under Low Task Similarity
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Topics: Collisions (Physics) , Design , Students
Exploring System Architecture Attributes and Dynamic Change Propagation
Daniel Long, Scott Ferguson
IDETC-CIE 2018; V02AT03A062https://doi.org/10.1115/DETC2018-86049
View Articletitled, Exploring System Architecture Attributes and Dynamic Change Propagation
PDF
Topics: Design , Generators , Probability , System architecture , Systems analysis
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