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Proceedings Papers

Proceedings Volume Cover
ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 18–21, 2019
Anaheim, California, USA
Conference Sponsors:
  • Design Engineering Division
  • Computers and Information in Engineering Division
ISBN:
978-0-7918-5917-9
Volume 1: 39th Computers and Information in Engineering Conference

39th Computers and Information in Engineering Conference

Advanced Modeling and Simulation

Optimal Design of Thermo-Compression Bonding for Advanced Packaging System Under Uncertainty
Sungkun Hwang, Seung-Kyum Choi
IDETC-CIE 2019; V001T02A001https://doi.org/10.1115/DETC2019-97988
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Topics: Bonding , Compression , Design , Packaging , Uncertainty , Reliability , Artificial neural networks , Deformation , Electricity (Physics) , Electronic components
A Systematic Rapid Creative Design Framework for Complex Mechanical Systems From Conceptual Design to 3D Virtual Simulation
Li Yu-Tong, Wang Yu-Xin
IDETC-CIE 2019; V001T02A002https://doi.org/10.1115/DETC2019-98150
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Topics: Conceptual design , Creativity , Simulation
A Coarea Formulation for Grid-Based Evaluation of Volume Integrals
Christopher Uchytil, Duane Storti
IDETC-CIE 2019; V001T02A003https://doi.org/10.1115/DETC2019-98247
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Topics: Approximation , Monte Carlo methods
Design of NRL66.4: An Electro-Hydraulic 6-DoF Parallel Robotic Multiaxial Material Testing System
John G. Michopoulos, Athanasios P. Iliopoulos, John C. Steuben, Benjamin D. Graber
IDETC-CIE 2019; V001T02A004https://doi.org/10.1115/DETC2019-98360
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Topics: Design , Materials testing , Robotics , Kinematics , Testing , Additive manufacturing , Boundary-value problems , Damage , Degrees of freedom , Failure

Artificial Intelligence and Machine Learning in Design and Manufacturing

A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry
Max Ferguson, Seongwoon Jeong, Kincho H. Law, Svetlana Levitan, Anantha Narayanan, Rainer Burkhardt, Tridivesh Jena, Yung-Tsun Tina Lee
IDETC-CIE 2019; V001T02A005https://doi.org/10.1115/DETC2019-97095
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Topics: Artificial neural networks , Machine learning , Manufacturing industry , Engines , Casting , Computation , Flaw detection , Manufacturing , X-rays
Automatically Generating 60,000 CAD Variants for Big Data Applications
Satchit Ramnath, Payam Haghighi, Ji Hoon Kim, Duane Detwiler, Michael Berry, Jami J. Shah, Nikola Aulig, Patricia Wollstadt, Stefan Menzel
IDETC-CIE 2019; V001T02A006https://doi.org/10.1115/DETC2019-97378
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Topics: Computer-aided design , Design , Machine learning , Algorithms , Finite element analysis , Geometry , Parametric design , Product design , Sales , Simulation results
Domain Randomization for Detection and Position Estimation of Multiples of a Single Object With Applications to Localizing Bolts on Structures
Ezra Ameperosa, Pranav A. Bhounsule
IDETC-CIE 2019; V001T02A007https://doi.org/10.1115/DETC2019-97393
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Topics: Aircraft , Artificial neural networks , Automobiles , Computers , Fasteners , Maintenance , Noise (Sound) , Ships , Simulation , Texture (Materials)
Machine Learning Assisted Prediction of the Manufacturability of Laser-Based Powder Bed Fusion Process
Ying Zhang, Guoying Dong, Sheng Yang, Yaoyao Fiona Zhao
IDETC-CIE 2019; V001T02A008https://doi.org/10.1115/DETC2019-97610
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Topics: Lasers , Machine learning , Design , Additive manufacturing , Manufacturing , Metals , Shapes
Reinforcement Learning Content Generation for Virtual Reality Applications
Christian E. Lopez, Omar Ashour, Conrad S. Tucker
IDETC-CIE 2019; V001T02A009https://doi.org/10.1115/DETC2019-97711
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Topics: Virtual reality
From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method
Zhuo Yang, Lu Yan, Ho Yeung, Sundar Krishnamurty
IDETC-CIE 2019; V001T02A010https://doi.org/10.1115/DETC2019-98215
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Topics: Modeling , Construction , Errors , Optimization , Process control
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
Zhenguo Nie, Haoliang Jiang, Levent Burak Kara
IDETC-CIE 2019; V001T02A011https://doi.org/10.1115/DETC2019-98472
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Topics: Artificial neural networks , Stress
Prediction of Nitrogen Concentration in Fuel Cells Using Data-Driven Modeling
Tong Lin, Leiming Hu, Shawn Litster, Levent Burak Kara
IDETC-CIE 2019; V001T02A012https://doi.org/10.1115/DETC2019-98477
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Topics: Fuel cells , Modeling , Nitrogen , Anodes , Machine learning , Proton exchange membrane fuel cells , Computational fluid dynamics , Engineering simulation , Gases , Generators
Pixel to Stroke Sketch Generation Using Reinforcement Learning
Haizhou Wang, Conrad Tucker
IDETC-CIE 2019; V001T02A013https://doi.org/10.1115/DETC2019-98481
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Topics: Blanks , Canvas , Design , Dimensions , Engineering design , Random noise , Trains

Complex Systems Engineering and Design

Computational Design of Scheduling Strategies for Multi-Robot Cooperative 3D Printing
Laxmi Poudel, Wenchao Zhou, Zhenghui Sha
IDETC-CIE 2019; V001T02A014https://doi.org/10.1115/DETC2019-97640
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Topics: Additive manufacturing , Design , Robots
Construction of Multi-Domain System Simulation Model for Trade Studies in System Design Considering Multiple Scenes
Kazuya Oizumi, Keita Ishida, Yoshihiro Uchibori, Kazuhiro Aoyama
IDETC-CIE 2019; V001T02A015https://doi.org/10.1115/DETC2019-98042
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Topics: Construction , Design , Modeling , Simulation , Systems engineering
Finite-State Automata-Based Representation of Device States for Function Modeling and Formal Definitions of Signal-Processing Functions
Ahmed Chowdhury, Xiaoyang Mao, Lakshmi N. A. Venkatanarasimhan, Chiradeep Sen
IDETC-CIE 2019; V001T02A016https://doi.org/10.1115/DETC2019-98248
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Topics: Modeling , Signal processing , Design , Flow (Dynamics) , Signals
Toward a Functional Failure Analysis Method of Identifying and Mitigating Spurious System Emissions in a System of Systems
Douglas L. Van Bossuyt, Ryan M. Arlitt
IDETC-CIE 2019; V001T02A017https://doi.org/10.1115/DETC2019-98255
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Topics: Emissions , Failure analysis , Silicon-on-sapphire , Damage , Failure , Design , Engineers , Flow (Dynamics) , System architecture

Computational Multiphysics Applications

Improvement of Thermal Performance of Pin Fin Heat Sink Using Different Types of Perforations: A Study Under Natural Convection
Aashish Kumar, Manoj Kumar Mondal
IDETC-CIE 2019; V001T02A018https://doi.org/10.1115/DETC2019-97514
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Topics: Heat sinks , Natural convection , Thermal management
On the Effect of Glassy Coatings on the Wear of a Sliding Contact via Multiphysics Modeling
John G. Michopoulos, Athanasios P. Iliopoulos, John C. Steuben, Andrew J. Birnbaum, Nicole A. Apetre
IDETC-CIE 2019; V001T02A019https://doi.org/10.1115/DETC2019-97677
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Topics: Coatings , Modeling , Wear , Glass , Aluminum alloys , Copper alloys , Heat , Strips , Thermomechanics
A Parametric Modeling Approach for Prediction of Load Distribution due to Fluid Structure Interaction on Aircraft Structures
Ahmet Barutcu, Recep M. Gorguluarslan
IDETC-CIE 2019; V001T02A020https://doi.org/10.1115/DETC2019-98008
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Topics: Aircraft , Fluid structure interaction , Modeling , Stress
Reverse Engineering and Optimization of a Steering Mechanism Component in a Competition Ground Vehicle
Matheo López-Pachón, Diego Gonzalez-Cárdenas, Andres Gonzalez-Mancera
IDETC-CIE 2019; V001T02A021https://doi.org/10.1115/DETC2019-98075
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Topics: Optimization , Reverse engineering , Vehicles , Failure , Casting , Computer numerical control machine tools , Computer-aided design , Displacement , Finite element methods , Finite element model

Computer-Aided Product and Process Development

Rapid Investment Casting: Design and Manufacturing Technologies
Christopher T. Richard, Tsz-Ho Kwok
IDETC-CIE 2019; V001T02A022https://doi.org/10.1115/DETC2019-97554
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Topics: Design , Investment casting (Process) , Investment castings , Manufacturing technology , Metals , Additive manufacturing , Aerospace industry , Biomedical engineering , Alloys , Casting
Investigating Usability of an Innovation Management Decision Aid
Elizabeth Gendreau, Joshua D. Summers, Lamiae Benhayoun-Sadafiyine, Marie-Anne Le Dain
IDETC-CIE 2019; V001T02A023https://doi.org/10.1115/DETC2019-97801
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Topics: Innovation , Decision making , Testing
Development of Three-Nozzle Extrusion System for Conformal Multi-Resolution 3D Printing With a Robotic Manipulator
Yeo Jung Yoon, Minsok Yon, Sung Eun Jung, Satyandra K. Gupta
IDETC-CIE 2019; V001T02A024https://doi.org/10.1115/DETC2019-98069
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Topics: Additive manufacturing , Extruding , Manipulators , Nozzles , Resolution (Optics) , Printing , Robots , Calibration , Finishes , Design
A Spatial Linkage Exoskeleton for a Shape-Adaptive Mobile Robot
David E. Geyer, Cameron J. Turner
IDETC-CIE 2019; V001T02A025https://doi.org/10.1115/DETC2019-98221
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Topics: Exoskeleton devices , Linkages , Mobile robots , Shapes , Design , Engineering prototypes , Computer software , Geometry , Kinematics
Reconstruction of Gap-Free Intersections for Trimmed NURBS Surfaces
Benjamin Urick, Richard H. Crawford, Thomas J. R. Hughes, Elaine Cohen, Richard F. Riesenfeld
IDETC-CIE 2019; V001T02A026https://doi.org/10.1115/DETC2019-98372
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Topics: Algorithms , B-splines , Computer software , Computer-aided design , Computer-aided engineering , Computer-aided manufacturing , Engineering design , Modeling , Solid modeling
Geometric Complexity Estimation of Continuous Surfaces for Fitting Processes
Hossein Gohari Bahabadi, Ahmad Barari
IDETC-CIE 2019; V001T02A027https://doi.org/10.1115/DETC2019-98456
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Topics: Additive manufacturing , Algorithms , Computational geometry , Design , Fittings , Inspection , Manufacturing , Metrology , Optimization algorithms , Splines

Design Informatics

Technology Knowledge Graph for Design Exploration: Application to Designing the Future of Flying Cars
Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood
IDETC-CIE 2019; V001T02A028https://doi.org/10.1115/DETC2019-97605
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Topics: Automobiles , Design , Patents , Innovation , Classification , Engineers , Natural language processing , Uncertainty
A Deep Learning Based Approach to Predict Sequential Design Decisions
Molla Hafizur Rahman, Charles Xie, Zhenghui Sha
IDETC-CIE 2019; V001T02A029https://doi.org/10.1115/DETC2019-97625
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Topics: Decision making , Design , Algorithms , Chain , Artificial neural networks , Computer-aided design , Engineering design processes , Modeling , Solar energy systems
Semantic Network Differences Across Engineering Design Communication Methods
Christian E. Lopez, Zixuan V. Zhao, Conrad S. Tucker
IDETC-CIE 2019; V001T02A030https://doi.org/10.1115/DETC2019-97728
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Topics: Creativity , Design , Engineering design , Text analytics
Physics-Based Function Features for a Set of Material-Processing Verbs
Lakshmi N. A. Venkatanarasimhan, Xiaoyang Mao, Ahmed Chowdhury, Chiradeep Sen
IDETC-CIE 2019; V001T02A031https://doi.org/10.1115/DETC2019-98343
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Topics: Computer-aided engineering , Design , Flow (Dynamics) , Geometric modeling , Materials processing , Modeling , Physics , Topology

Design, Simulation, and Optimization for Additive Manufacturing

Simulation of Nucleation and Grain Growth in Selective Laser Melting of Ti-6Al-4V Alloy
Dehao Liu, Yan Wang
IDETC-CIE 2019; V001T02A032https://doi.org/10.1115/DETC2019-97684
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Topics: Alloys , Lasers , Lattice Boltzmann methods , Melting , Nucleation (Physics) , Simulation
Dimensional Prediction for FDM Machines Using Artificial Neural Network and Support Vector Regression
Jiaqi Lyu, Souran Manoochehri
IDETC-CIE 2019; V001T02A033https://doi.org/10.1115/DETC2019-97963
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Topics: Artificial neural networks , Machinery , Modeling , Support vector machines
Towards Thermal Simulation of Powder Bed Fusion on Path Level
Yaqi Zhang, Vadim Shapiro, Paul Witherell
IDETC-CIE 2019; V001T02A034https://doi.org/10.1115/DETC2019-98046
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Topics: Simulation , Manufacturing , Lasers , Discrete element methods , Finite element methods , National Institute of Standards and Technology , Absorption , Additive manufacturing , Convection , Geometry
Phase Transformation Advancements of the Enriched Analytic Solution Method for Additive Manufacturing Applications
John C. Steuben, Andrew J. Birnbaum, Athanasios P. Iliopoulos, John G. Michopoulos
IDETC-CIE 2019; V001T02A035https://doi.org/10.1115/DETC2019-98189
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Topics: Additive manufacturing , Phase transitions , Finite element analysis , Modeling , Physics , Heat , Melting , Process control , Rapid prototyping , Simulation
Towards Selective Volumetric Additive Manufacturing and Processing of Ceramics
A. P. Iliopoulos, J. G. Michopoulos, J. C. Steuben, A. J. Birnbaum, B. D. Graber, B. Y. Rock, L. A. Johnson, E. P. Gorzkowski
IDETC-CIE 2019; V001T02A036https://doi.org/10.1115/DETC2019-98195
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Topics: Additive manufacturing , Ceramics , Design , Engineering simulation , Engineers , Heat , Materials processing , Microwaves , Radiation (Physics) , Simulation
Design of Non-Periodic Lattice Structures by Allocating Pre-Optimized Building Blocks
Haejoon Choi, Adrian Matias Chung Baek, Namhum Kim
IDETC-CIE 2019; V001T02A037https://doi.org/10.1115/DETC2019-98204
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Topics: Blocks (Building materials) , Design , Optimization , Topology , Finite element analysis , Stress
Surrogate Models for the Efficient Estimation of Residual Fields Associated With Additively Manufactured Parts
Athanasios P. Iliopoulos, John C. Steuben, Nicole A. Apetre, John G. Michopoulos
IDETC-CIE 2019; V001T02A038https://doi.org/10.1115/DETC2019-98332
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Topics: Additive manufacturing , Physics , B-splines , Computers , Errors , Interpolation , Modeling , Simulation , Space , Stress
Electron Backscatter Diffraction-Enabled Anisotropic Thermo-Elastic Analysis of Additively Manufactured Single Tracks
Andrew J. Birnbaum, John G. Michopoulos, John C. Steuben, Athanasios P. Iliopoulos
IDETC-CIE 2019; V001T02A039https://doi.org/10.1115/DETC2019-98351
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Topics: Additive manufacturing , Anisotropy , Diffraction , Electron backscatter diffraction , Thermoelasticity , Crystals , Density , Ductility , Energy levels (Quantum mechanics) , Geometry
A Review of Machine Learning Applications in Additive Manufacturing
Sayyeda Saadia Razvi, Shaw Feng, Anantha Narayanan, Yung-Tsun Tina Lee, Paul Witherell
IDETC-CIE 2019; V001T02A040https://doi.org/10.1115/DETC2019-98415
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Topics: Additive manufacturing , Machine learning
Direct Solid Element Slicing in Topology Optimization for Additive Manufacturing
Dylan Bender, Ahmad Barari
IDETC-CIE 2019; V001T02A041https://doi.org/10.1115/DETC2019-98452
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Topics: Additive manufacturing , Design , Manufacturing , Optimization , Topology
Enabling Performance Qualification of Additively Manufactured Parts Under Multiaxial Loading Emulating In-Service Conditions
John G. Michopoulos, Athanasios P. Iliopoulos, John C. Steuben, Trung Nguyen, Nam Phan
IDETC-CIE 2019; V001T02A042https://doi.org/10.1115/DETC2019-98458
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Topics: Additive manufacturing , Accounting , Aircraft , Construction , Fittings , Manufacturing , Robotic testing
Anisotropic Multicomponent Topology Optimization for Additive Manufacturing With Build Orientation Design and Stress-Constrained Interfaces
Yuqing Zhou, Tsuyoshi Nomura, Kazuhiro Saitou
IDETC-CIE 2019; V001T02A043https://doi.org/10.1115/DETC2019-98480
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Topics: Additive manufacturing , Anisotropy , Design , Optimization , Stress , Topology , Manufacturing , Tensors , Stiffness

Human Modeling: Methods and Applications in Engineering

Review of Models and Robotic Devices for Stroke Survivors’ Upper Extremity Rehabilitation
Shadman Tahmid, James Yang, Josep M. Font-Llagunes
IDETC-CIE 2019; V001T02A044https://doi.org/10.1115/DETC2019-97223
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Topics: Robotics
Effects of Head Supported Mass on Predicted Neck Musculoskeletal Loadings During Walking and Running
Xianlian Zhou, Xinyu Chen, Paulien E. Roos, Phillip Whitley
IDETC-CIE 2019; V001T02A045https://doi.org/10.1115/DETC2019-97389
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Topics: Musculoskeletal system
Muscle Force Prediction in OpenSim Using Skeleton Motion Optimization Results As Input Data
Rahid Zaman, Yujiang Xiang, Ritwik Rakshit, James Yang
IDETC-CIE 2019; V001T02A046https://doi.org/10.1115/DETC2019-97520
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Topics: Dynamics (Mechanics) , Muscle , Optimization
Optimal Camera Configuration for 3D Scanning of Human Hand
Yusheng Yang, Willemijn S. Elkhuizen, Tao Hou, Tessa T. W. Essers, Yu Song
IDETC-CIE 2019; V001T02A047https://doi.org/10.1115/DETC2019-97784
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Topics: Additive manufacturing , Computer-aided design , Construction , Design , Engineering prototypes , Errors , Optimization , Photogrammetry
Computational Fluid Dynamics Simulation of Flow of Exhaled Particles From Powered-Air Purifying Respirators
Susan S. Xu, Zhipeng Lei, Ziqing Zhuang, Michael Bergman
IDETC-CIE 2019; V001T02A048https://doi.org/10.1115/DETC2019-97826
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Topics: Computational fluid dynamics , Flow (Dynamics) , Leakage , Particulate matter , Respirators , Simulation , Surgery
A New Approach for Medical Assessment of Patient’s Injured Shoulder
Andrea Vitali, Daniele Regazzoni, Caterina Rizzi, Federico Maffioletti
IDETC-CIE 2019; V001T02A049https://doi.org/10.1115/DETC2019-97889
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Topics: Biomedicine , Artificial neural networks , Elevations (Drawings) , Image processing , Patient rehabilitation , Surgery
A Customer-to-Manufacturer Design Model for Custom Compression Casts
Yunbo Zhang, Tsz-Ho Kwok
IDETC-CIE 2019; V001T02A050https://doi.org/10.1115/DETC2019-98043
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Topics: Compression , Design , Bracing (Construction) , Optimization , Ventilation , Additive manufacturing , Computation , Fittings , Manufacturing , Pipelines
Using Automated Use Case Generation for Early Design Stage Functional Failure and Human Error Analysis
Lukman Irshad, H. Onan Demirel, Irem Y. Tumer
IDETC-CIE 2019; V001T02A051https://doi.org/10.1115/DETC2019-98466
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Topics: Design , Error analysis , Failure , Errors , Engineers , Accidents , Algorithms , Computer software , Ergonomics , Safety

Knowledge Capture, Reuse, and Management

Modeling a Supply Chain Reference Ontology Based on a Top-Level Ontology
Farhad Ameri, Boonserm Kulvatunyou
IDETC-CIE 2019; V001T02A052https://doi.org/10.1115/DETC2019-98278
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Topics: Manufacturing , Modeling , Ontologies , Supply chains

Methods, Processes, and Strategies for Technology

Toolbox for User-Centered Specification of VR Systems
Andreas Liebal, Heidi Krömker, Atif Mahboob, Christian Weber
IDETC-CIE 2019; V001T02A053https://doi.org/10.1115/DETC2019-97340
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Topics: Design , Product development , Virtual reality
Augmented Reality Interface: Guidelines for the Design of Contrast Ratios
Regina Koreng, Heidi Krömker
IDETC-CIE 2019; V001T02A054https://doi.org/10.1115/DETC2019-97341
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Topics: Design , Brightness (Photometry) , Decision making , Quality control , Inspection , Machinery , Manufacturing
Assessment of Joint Parameters in a Kinect Sensor Based Rehabilitation Game
Soumya K. Manna, Venketesh N. Dubey
IDETC-CIE 2019; V001T02A055https://doi.org/10.1115/DETC2019-97519
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Topics: Accuracy and precision , Exoskeleton devices , Sensors , Errors , Feedback , Torque

Motivation and Emotion

Effect of Assistive Methods on the Sense of Fulfillment With Agency: Modeling With Flow and Attribution Theories
Dan Nanno, Hideyoshi Yanagisawa
IDETC-CIE 2019; V001T02A056https://doi.org/10.1115/DETC2019-97500
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Topics: Flow (Dynamics) , Modeling
Mahalanobis-Taguchi-Fukuda Approach to Human Motion Control
Shuichi Fukuda
IDETC-CIE 2019; V001T02A057https://doi.org/10.1115/DETC2019-98030
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Topics: Failure , Mahalanobis-Taguchi system , Motion control , Internet of things , Robots , Teams

Simulation in Advanced Manufacturing

Decentralized Informative Path Planning With Balanced Exploration-Exploitation for Swarm Robotic Search
Payam Ghassemi, Souma Chowdhury
IDETC-CIE 2019; V001T02A058https://doi.org/10.1115/DETC2019-97887
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Topics: Path planning , Robotics , Design , Fault tolerance , Hazards , Mobile robots , Modeling , Robots , Signals
Job Shop Scheduling Optimization Using Genetic Algorithm With Global Criterion Technique
Ke Xu, Souran Manoochehri
IDETC-CIE 2019; V001T02A059https://doi.org/10.1115/DETC2019-98076
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Topics: Genetic algorithms , Machine shops , Optimization
Optimal Reconfiguration Path Decision Method for One RMT System
Sihan Huang, Cong Zeng, Guoxin Wang, Yan Yan
IDETC-CIE 2019; V001T02A060https://doi.org/10.1115/DETC2019-98234
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Topics: Algorithms , Computation , Decision making , Machine tools , Manufacturing systems

Smart Manufacturing Informatics

Framework for Design From Manufacturing Data Mapping
Douglas Eddy, Sundar Krishnamurty, Ian Grosse, Mark Steudel, Mike Shimazu
IDETC-CIE 2019; V001T02A061https://doi.org/10.1115/DETC2019-97130
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Topics: Design , Manufacturing
On Practice and Theory of Constructive Composite Geometry and Topology
Thomas D. Hedberg, Jr., Allison Barnard Feeney, Vijay Srinivasan
IDETC-CIE 2019; V001T02A062https://doi.org/10.1115/DETC2019-97134
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Topics: Composite materials , Geometry , Topology , Fiber reinforced composites , Fibers , Laminates , Manufacturing , Modeling
Digital Twins for Space Factory 4.0
Thiago Weber Martins, Reiner Anderl
IDETC-CIE 2019; V001T02A063https://doi.org/10.1115/DETC2019-97151
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Topics: Manufacturing , Satellites , Telemetry
A Framework for Automating Maynard Operation Sequence Technique Studies
Rahul Sharan Renu
IDETC-CIE 2019; V001T02A064https://doi.org/10.1115/DETC2019-97692
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Topics: Computer software , Flow (Dynamics) , Manufacturing , Plant layout
Extraction and Analysis of Spatial Correlation Micrograph Features for Traceability in Manufacturing
Adam Dachowicz, Mikhail Atallah, Jitesh H. Panchal
IDETC-CIE 2019; V001T02A065https://doi.org/10.1115/DETC2019-98378
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Topics: Alloys , Manufacturing , Metals , Optical microscopy , Optimization , Security , String , Supply chains

Systems Engineering

Modeling and Analysis of Subsystem Interactions in Robotic Assembly
Shaurya Shriyam, Satyandra K. Gupta
IDETC-CIE 2019; V001T02A066https://doi.org/10.1115/DETC2019-98081
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Topics: Modeling , Robotic assembly , Assembly lines , Manufacturing , Complex systems , Design , Finishes , Robots
Topological Semantics for Lumped Parameter Systems Modeling
Randi Wang, Vadim Shapiro
IDETC-CIE 2019; V001T02A067https://doi.org/10.1115/DETC2019-98181
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Topics: Lumped parameter models , Modeling , Semantics , Algebra , Computer simulation , Computer-aided design , Computer-aided engineering , Dynamics (Mechanics) , Engineering systems and industry applications , Physical laws
Spacecraft Failure Analysis From the Perspective of Design Decision-Making
Vikranth Kattakuri, Jitesh H. Panchal
IDETC-CIE 2019; V001T02A068https://doi.org/10.1115/DETC2019-98420
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Topics: Decision making , Design , Failure analysis , Space vehicles , Failure , Systems engineering , Chain , Failure data , Process control , Vehicles
A Physics-Based Formal Vocabulary of Energy Verbs for Function Modeling
Chiradeep Sen, Joshua D. Summers, Xiaoyang Mao
IDETC-CIE 2019; V001T02A069https://doi.org/10.1115/DETC2019-98502
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Topics: Modeling , Physics

Uncertainty Quantification in Simulation and Model Verification and Validation

Stochastic Simulation of Turbine Engine Component Under Aleatory and Epistemic Uncertainty
Austin M. McKeand, Recep M. Gorguluarslan, Seung-Kyum Choi
IDETC-CIE 2019; V001T02A070https://doi.org/10.1115/DETC2019-97764
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Topics: Gas turbines , Simulation , Uncertainty , Aerospace industry , Elastic moduli , Engineering simulation , Computerized tomography , Design , Finite element model , Materials properties
Model Based Root Cause Analysis of Manufacturing Quality Problems Using Uncertainty Quantification and Sensitivity Analysis
Kevin Otto, Josefina Sanchez Mosqueda
IDETC-CIE 2019; V001T02A071https://doi.org/10.1115/DETC2019-97766
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Topics: Manufacturing , Root cause analysis , Sensitivity analysis , Simulation , Uncertainty quantification
Model Bias Characterization for Effective States Estimation of Lithium-Ion Batteries
Modjtaba Dahmardeh, Zhimin Xi
IDETC-CIE 2019; V001T02A072https://doi.org/10.1115/DETC2019-97954
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Topics: Batteries , Circuits , Lithium-ion batteries
sBF-BO-2CoGP: A Sequential Bi-Fidelity Constrained Bayesian Optimization for Design Applications
Anh Tran, Tim Wildey, Scott McCann
IDETC-CIE 2019; V001T02A073https://doi.org/10.1115/DETC2019-97986
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Topics: Design , Optimization , Deformation , Flip-chip , Simulation , Warping
Deep Active Subspaces: A Scalable Method for High-Dimensional Uncertainty Propagation
Rohit Tripathy, Ilias Bilionis
IDETC-CIE 2019; V001T02A074https://doi.org/10.1115/DETC2019-98099
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Topics: Artificial neural networks , Chaos , Construction , Dimensions , Modeling , Polynomials , Response surface methodology , Space , Stochastic systems , Uncertainty
A Reliability Model Validation Method for Mitigating the Effects of Measurement Uncertainty
Mohammadkazem Sadoughi, Meng Li, Joseph Beck, Chao Hu
IDETC-CIE 2019; V001T02A075https://doi.org/10.1115/DETC2019-98202
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Topics: Measurement uncertainty , Model validation , Reliability
A Performance Comprehension of Various Numerical Estimators for Variance-Based Sensitivity Analysis in Building Energy Simulations
Rasool Koosha, Fatemeh Shahsavari
IDETC-CIE 2019; V001T02A076https://doi.org/10.1115/DETC2019-98490
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Topics: Sensitivity analysis , Simulation , Uncertainty , Building materials , Capacitance , Residential construction , Uncertainty analysis
An Uncertainty and Sensitivity Analysis Tool for Building Thermal Energy Consumption: A Performance Comprehension of Static and Dynamic Response Analyses
Rasool Koosha, Fatemeh Shahsavari
IDETC-CIE 2019; V001T02A077https://doi.org/10.1115/DETC2019-98510
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Topics: Dynamic response analysis , Sensitivity analysis , Thermal energy , Uncertainty , Energy consumption , Simulation , Capacitance , Decision making , Density , Exterior walls

Virtual Environments and Systems

Sparse Scaling Iterative Closest Point for Rail Profile Inspection
Yue Yang, Long Liu, Bing Yi
IDETC-CIE 2019; V001T02A078https://doi.org/10.1115/DETC2019-97160
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Topics: Inspection , Lasers , Noise (Sound) , Rails , Sensors , Maintenance , Security
Smartphone As a Stand-Alone Device for Rendering, Visualization and Tracking for Use During Product Development in Virtual Reality (VR)
Atif Mahboob, Stephan Husung, Christian Weber, Andreas Liebal, Heidi Krömker
IDETC-CIE 2019; V001T02A079https://doi.org/10.1115/DETC2019-97173
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Topics: Product development , Product evaluation , Rendering , Virtual reality , Visualization
Using Virtual Reality to Test Human-Robot Interaction During a Collaborative Task
Roberta Etzi, Siyuan Huang, Giulia Wally Scurati, Shilei Lyu, Francesco Ferrise, Alberto Gallace, Andrea Gaggioli, Alice Chirico, Marina Carulli, Monica Bordegoni
IDETC-CIE 2019; V001T02A080https://doi.org/10.1115/DETC2019-97415
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Topics: Collaboration , Human-robot interaction , Robots , Virtual reality
A Multisensory Virtual Reality System for Astronauts’ Entertainment and Relaxation
Marina Carulli, Monica Bordegoni, Francesca Bernecich, Elena Spadoni, Patrizia Bolzan
IDETC-CIE 2019; V001T02A081https://doi.org/10.1115/DETC2019-97836
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Topics: Astronauts , Relaxation (Physics) , Virtual reality
An Augmented Reality-Based Training System for Manual Milling Operations
Tung-Jui Chuang, Chih-Kai Yang, Shana Smith
IDETC-CIE 2019; V001T02A082https://doi.org/10.1115/DETC2019-97844
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Topics: Milling , Milling machines , Accidents , Calibration , Control equipment , Machining
Towards a Broad Use of Gamification Based on Hand Tracking in Post Stroke Patients
Daniele Regazzoni, Andrea Vitali, Caterina Rizzi
IDETC-CIE 2019; V001T02A083https://doi.org/10.1115/DETC2019-97926
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Topics: Biomedicine , Computer programming , Instrumentation , Laptop computers , Patient rehabilitation
Do Autonomous Vehicle Driving Styles Affect User State?: A Preliminary Investigation
Yuan Shi, Wenhui Huang, Federico Cheli, Monica Bordegoni, Giandomenico Caruso
IDETC-CIE 2019; V001T02A084https://doi.org/10.1115/DETC2019-98186
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Topics: Vehicles
Mobile Based Real-Time Occlusion Between Real and Digital Objects in Augmented Reality
Pranav Jain, Conrad Tucker
IDETC-CIE 2019; V001T02A085https://doi.org/10.1115/DETC2019-98440
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Topics: Computers , Errors , Fittings , Laptop computers , Machine learning , Machinery , Sensors
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