Theory, methods and tools for additive manufacturing oriented design and optimization

Xu Guo; Gengdong Cheng; Wing Kam Liu

doi:10.1007/978-3-319-63670-2_4

Theory, methods and tools for additive manufacturing oriented design and optimization

Xu Guo^*, Gengdong Cheng, Wing Kam Liu

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

The fifth and sixth sessions of the workshop provided an overview of the design in AM, including topology optimization and various design approaches in industry. Prof. Ole Sigmund (Technical University of Denmark, Denmark), Prof. Xu Guo and Prof. Shutian Liu (Dalian University of Technology, China), Prof. Michael Yu Wang (Hong Kong University of Science and Technology, China), Prof. Pinlian Han (Southern University of Science and Technology, China), and Prof. Xiangming Wang (Shenyang Aircraft Design and Research Institute of AVIC, China) each discussed researches, challenges, and future directions related to this topic.

Original language	English (US)
Pages (from-to)	35-51
Number of pages	17
Journal	SpringerBriefs in Applied Sciences and Technology
Issue number	202399
DOIs	https://doi.org/10.1007/978-3-319-63670-2_4
State	Published - 2018
Event	Workshop on Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing, WAM 2016 - Dalian, China Duration: Oct 17 2016 → Oct 19 2016

ASJC Scopus subject areas

Biotechnology
Chemical Engineering(all)
Mathematics(all)
Materials Science(all)
Energy Engineering and Power Technology
Engineering(all)

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title = "Theory, methods and tools for additive manufacturing oriented design and optimization",

abstract = "The fifth and sixth sessions of the workshop provided an overview of the design in AM, including topology optimization and various design approaches in industry. Prof. Ole Sigmund (Technical University of Denmark, Denmark), Prof. Xu Guo and Prof. Shutian Liu (Dalian University of Technology, China), Prof. Michael Yu Wang (Hong Kong University of Science and Technology, China), Prof. Pinlian Han (Southern University of Science and Technology, China), and Prof. Xiangming Wang (Shenyang Aircraft Design and Research Institute of AVIC, China) each discussed researches, challenges, and future directions related to this topic.",

author = "Xu Guo and Gengdong Cheng and Liu, {Wing Kam}",

note = "Publisher Copyright: {\textcopyright} 2018, The Author(s). Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; Workshop on Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing, WAM 2016 ; Conference date: 17-10-2016 Through 19-10-2016",

year = "2018",

doi = "10.1007/978-3-319-63670-2_4",

language = "English (US)",

pages = "35--51",

journal = "SpringerBriefs in Applied Sciences and Technology",

issn = "2191-530X",

publisher = "Springer Publishing Company",

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T1 - Theory, methods and tools for additive manufacturing oriented design and optimization

AU - Guo, Xu

AU - Cheng, Gengdong

AU - Liu, Wing Kam

PY - 2018

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AB - The fifth and sixth sessions of the workshop provided an overview of the design in AM, including topology optimization and various design approaches in industry. Prof. Ole Sigmund (Technical University of Denmark, Denmark), Prof. Xu Guo and Prof. Shutian Liu (Dalian University of Technology, China), Prof. Michael Yu Wang (Hong Kong University of Science and Technology, China), Prof. Pinlian Han (Southern University of Science and Technology, China), and Prof. Xiangming Wang (Shenyang Aircraft Design and Research Institute of AVIC, China) each discussed researches, challenges, and future directions related to this topic.

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DO - 10.1007/978-3-319-63670-2_4

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EP - 51

JO - SpringerBriefs in Applied Sciences and Technology

JF - SpringerBriefs in Applied Sciences and Technology

SN - 2191-530X

IS - 202399

T2 - Workshop on Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing, WAM 2016

Y2 - 17 October 2016 through 19 October 2016

ER -

Theory, methods and tools for additive manufacturing oriented design and optimization

Abstract

ASJC Scopus subject areas

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