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Proceedings Papers

Study of Metamodeling Techniques and Their Applications in Engineering Design

Nanxin Wang, Ping Ge

Proc. ASME. IMECE99, Manufacturing Science and Engineering, 89-95, November 14–19, 1999

Paper No: IMECE1999-0659

DOI: https://doi.org/10.1115/IMECE1999-0659

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Topics: Engineering design, Metamodeling, Design, Cycles, Engineers, Experimental design, Machine learning, Partial differential equations, Performance evaluation, Physics

Proceedings Papers

PEDSS: A Product Engineering Decision Support System

Nanxin Wang, Beverly Becker, Greg Kaepp

Proc. ASME. IMECE2000, Advanced Vehicle Technologies, 119-128, November 5–10, 2000

Paper No: IMECE2000-1214

DOI: https://doi.org/10.1115/IMECE2000-1214

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Topics: Product engineering, Design, Vehicles, Cycles, Automobiles, Computer-aided design, Decision making, Engineers, Maintainability, Manufacturing

Proceedings Papers

Automatic Generation of Tolerance Chains From Mating Relations Represented in Assembly Models

Nanxin Wang, Tulga M. Ozsoy

Proc. ASME. DETC90, 16th Design Automation Conference: Volume 1 — Computer Aided and Computational Design, 227-233, September 16–19, 1990

Paper No: DETC1990-0028

DOI: https://doi.org/10.1115/DETC1990-0028

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Topics: Chain, Manufacturing, Algorithms, Dimensions, Engineering prototypes, Modeling

Proceedings Papers

XBB: A Blackboard System for Vehicle Suspension Tuning

Nanxin Wang, Daniel J. Fagan, Scott M. Staley

Proc. ASME. DETC93, 19th Design Automation Conference: Volume 1 — Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization, 397-409, September 19–22, 1993

Paper No: DETC1993-0328

DOI: https://doi.org/10.1115/DETC1993-0328

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Topics: Computer software, Databases, Design, Dynamics (Mechanics), Engineers, Noise (Sound), Packaging, Suspension systems, Tradeoffs, Vibration

Proceedings Papers

MDL: A Methodology Description Language in a CAE Integration Environment

Nanxin Wang, Jie Cheng

Proc. ASME. DETC94, 20th Design Automation Conference: Volume 1 — Dynamic Mechanical Systems; Geometric Modeling and Features; Concurrent Engineering, 117-123, September 11–14, 1994

Paper No: DETC1994-0053

DOI: https://doi.org/10.1115/DETC1994-0053

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Topics: Computer-aided engineering, Natural, scientific and engineering processes and practices, Flow (Dynamics), Vehicles, Cycles, Engineering prototypes, Engines, Motors, Optimization, Product design

Proceedings Papers

EMAT: An Engineering Methodology Application Tool

Nanxin Wang, Jie Cheng

Proc. ASME. CIE95, ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium, 21-26, September 17–20, 1995

Paper No: CIE1995-0730

DOI: https://doi.org/10.1115/CIE1995-0730

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Topics: Natural, scientific and engineering processes and practices, Engines, Computer software, Flow (Dynamics), Artificial intelligence, Automotive industry, Engineering prototypes, Maintainability, Optimization, Product design

Proceedings Papers

PEDAL: A Knowledge-Based Design Assistant for Automotive PEDAL Packaging

Paul Lomangino, Nanxin Wang

Proc. ASME. DETC98, Volume 6: 18th Computers in Engineering Conference, V006T06A026, September 13–16, 1998

Paper No: DETC98/CIE-5703

DOI: https://doi.org/10.1115/DETC98/CIE-5703

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Topics: Design, Packaging, Regulations, Engineering prototypes, Engines, Tradeoffs

Proceedings Papers

Application of an Evolutionary Modeling Approach to Automotive Bumper System Design and Analysis

Stephen C.-Y. Lu, Christine Ping Ge, Nanxin Wang

Proc. ASME. DETC98, Volume 6: 18th Computers in Engineering Conference, V006T06A061, September 13–16, 1998

Paper No: DETC98/CIE-5548

DOI: https://doi.org/10.1115/DETC98/CIE-5548

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Topics: Automotive bumpers, Design, Modeling

Proceedings Papers

On the Applicability of Product Variety Design Concepts to Automotive Platform Commonality

Zahed Siddique, David W. Rosen, Nanxin Wang

Proc. ASME. DETC98, Volume 3: 10th International Conference on Design Theory and Methodology, V003T03A007, September 13–16, 1998

Paper No: DETC98/DTM-5661

DOI: https://doi.org/10.1115/DETC98/DTM-5661

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Topics: Design, Architecture, Automobiles, Mass production, Product design, Trucks

Proceedings Papers

Backward Mapping Methodology for Design Synthesis

Stephen C.-Y. Lu, Satish T. S. Bukkapatnam, Ping Ge, Nanxin Wang

Proc. ASME. DETC99, Volume 3: 11th International Conference on Design Theory and Methodology, 29-39, September 12–16, 1999

Paper No: DETC99/DTM-8766

DOI: https://doi.org/10.1115/DETC99/DTM-8766

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Topics: Design, Engineering design, Statistics

Proceedings Papers

DoE Study in Building Surrogate Models for Complex Systems

Ping Ge, Nanxin Wang

Proc. ASME. IDETC-CIE2000, Volume 1: 20th Computers and Information in Engineering Conference, 647-653, September 10–13, 2000

Paper No: DETC2000/CIE-14653

DOI: https://doi.org/10.1115/DETC2000/CIE-14653

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Topics: Complex systems, Design, Experimental design

Proceedings Papers

A Method of Motion-Based Immersive Design System for Vehicle Occupant Package

Jian Wan, Nanxin Wang

Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A024, August 26–29, 2018

Paper No: DETC2018-85054

DOI: https://doi.org/10.1115/DETC2018-85054

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Topics: Design, Vehicles, Computer-aided design, Geometry, Modeling, Automotive design, Cycles, Maintenance, Process simulation, Trajectories (Physics)

Proceedings Papers

A Method of Utilizing Digital Manikins to Assist Passenger Vehicle Design

Jian Wan, Nanxin Wang, Ksenia Kozak, Gianna Gomez-levi, Linas Mikulionis

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A043, August 6–9, 2017

Paper No: DETC2017-67224

DOI: https://doi.org/10.1115/DETC2017-67224

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Topics: Automotive design, Design, Performance, Vehicles, Clearances (Engineering), Computer software, Feedback, Shapes

Proceedings Papers

A Method of Generating Swept Volume From Motion Captured With Depth Sensors Using an Open Source Graphic System

Jian Wan, Nanxin Wang, Robert Pakko

Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A059, August 21–24, 2016

Paper No: DETC2016-59070

DOI: https://doi.org/10.1115/DETC2016-59070

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Topics: Sensors, Automotive industry

Journal Articles

Predicting Subjective Responses From Human Motion: Application to Vehicle Ingress Assessment

Hadi I. Masoud, Matthew P. Reed, Kamran Paynabar, Nanxin Wang, Jionghua (Judy) Jin, Jian Wan, Ksenia K. Kozak, Gianna Gomez-Levi

J. Manuf. Sci. Eng. June 2016, 138(6): 061001.

Paper No: MANU-14-1442

DOI: https://doi.org/10.1115/1.4032191

Published Online: January 5, 2016

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Topics: B-splines, Design, Dimensions, Modeling, Support vector machines, Vehicles, Feature selection, Filtration

Proceedings Papers

Predicting Subjective Responses From Human Motion: Application to Vehicle Ingress Assessment

Hadi I. Masoud, Matthew P. Reed, Kamran Paynabar, Jionghua (Judy) Jin, Ksenia K. Kozak, Nanxin Wang, Jian Wan, Gianna Gomez-Levi

Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T04A009, June 9–13, 2014

Paper No: MSEC2014-4039

DOI: https://doi.org/10.1115/MSEC2014-4039

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Topics: B-splines, Design, Filters, Modeling, Support vector machines, Vehicles

Journal Articles

Integrated Bayesian Hierarchical Choice Modeling to Capture Heterogeneous Consumer Preferences in Engineering Design

Christopher Hoyle, Wei Chen, Nanxin Wang, Frank S. Koppelman

J. Mech. Des. December 2010, 132(12): 121010.

DOI: https://doi.org/10.1115/1.4002972

Published Online: December 7, 2010

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Topics: Design, Errors, Modeling, Preferences, Vehicles, Engineering design

Proceedings Papers

Bayesian Hierarchical Choice Modeling Framework for Capturing Heterogeneous Preferences in Engineering System Design

Christopher Hoyle, Wei Chen, Nanxin Wang, Frank S. Koppelman

Proc. ASME. IDETC-CIE2009, Volume 5: 35th Design Automation Conference, Parts A and B, 361-370, August 30–September 2, 2009

Paper No: DETC2009-87026

DOI: https://doi.org/10.1115/DETC2009-87026

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Topics: Design, Engineering systems and industry applications, Modeling, Preferences, Engineering design, Automobiles, Complex systems, Errors

Proceedings Papers

Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design

Christopher Hoyle, Wei Chen, Bruce Ankenman, Nanxin Wang

Proc. ASME. IDETC-CIE2008, Volume 1: 34th Design Automation Conference, Parts A and B, 427-436, August 3–6, 2008

Paper No: DETC2008-49561

DOI: https://doi.org/10.1115/DETC2008-49561

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Topics: Engineering design, Experimental design, Modeling, Preferences

Journal Articles

Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design

Christopher Hoyle, Wei Chen, Bruce Ankenman, Nanxin Wang

J. Mech. Des. July 2009, 131(7): 071008.

DOI: https://doi.org/10.1115/1.3149845

Published Online: June 24, 2009

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Topics: Experimental design, Design, Modeling

Journal citation

NARROW

Study of Metamodeling Techniques and Their Applications in Engineering Design

PEDSS: A Product Engineering Decision Support System

Automatic Generation of Tolerance Chains From Mating Relations Represented in Assembly Models

XBB: A Blackboard System for Vehicle Suspension Tuning

MDL: A Methodology Description Language in a CAE Integration Environment

EMAT: An Engineering Methodology Application Tool

PEDAL: A Knowledge-Based Design Assistant for Automotive PEDAL Packaging

Application of an Evolutionary Modeling Approach to Automotive Bumper System Design and Analysis

On the Applicability of Product Variety Design Concepts to Automotive Platform Commonality

Backward Mapping Methodology for Design Synthesis

DoE Study in Building Surrogate Models for Complex Systems

A Method of Motion-Based Immersive Design System for Vehicle Occupant Package

A Method of Utilizing Digital Manikins to Assist Passenger Vehicle Design

A Method of Generating Swept Volume From Motion Captured With Depth Sensors Using an Open Source Graphic System

Predicting Subjective Responses From Human Motion: Application to Vehicle Ingress Assessment

Predicting Subjective Responses From Human Motion: Application to Vehicle Ingress Assessment

Integrated Bayesian Hierarchical Choice Modeling to Capture Heterogeneous Consumer Preferences in Engineering Design

Bayesian Hierarchical Choice Modeling Framework for Capturing Heterogeneous Preferences in Engineering System Design

Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design

Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design

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