Data-driven microstructure and mechanical property design in additive manufacturing using self-organizing map

Wing Kam Liu

Data-driven microstructure and mechanical property design in additive manufacturing using self-organizing map

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

Original language	English (US)
Pages	14-15
Number of pages	2
State	Published - 2018
Event	2018 IUTAM Symposium on When Topology Optimization Meets Additive Manufacturing - Theory and Methods - Dalian, China Duration: Oct 7 2018 → Oct 12 2018

Conference

Conference	2018 IUTAM Symposium on When Topology Optimization Meets Additive Manufacturing - Theory and Methods
Country/Territory	China
City	Dalian
Period	10/7/18 → 10/12/18

ASJC Scopus subject areas

Engineering (miscellaneous)
Biomedical Engineering
Industrial and Manufacturing Engineering
General Materials Science

Cite this

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title = "Data-driven microstructure and mechanical property design in additive manufacturing using self-organizing map",

author = "Liu, {Wing Kam}",

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language = "English (US)",

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note = "2018 IUTAM Symposium on When Topology Optimization Meets Additive Manufacturing - Theory and Methods ; Conference date: 07-10-2018 Through 12-10-2018",

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PY - 2018

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T2 - 2018 IUTAM Symposium on When Topology Optimization Meets Additive Manufacturing - Theory and Methods

Y2 - 7 October 2018 through 12 October 2018

ER -

Data-driven microstructure and mechanical property design in additive manufacturing using self-organizing map

Conference

ASJC Scopus subject areas

Other files and links

Cite this