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Publication type: Article
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| Title: |
Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization
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| Author(s): |
Lynch,Matthew E.
(Author)
Sarkar,Soumalya
(Author)
Maute,Kurt
(Author)
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| Source Journal Info. |
Title:Journal of Mechanical Design
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Issue Number:2019/NOV V.141 N.11
Call No.:621.05 JMD
Location: References & Periodical Hall - 2nd floor
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| Physical Description: |
p 1-8
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| Subject Area: |
Engineering
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| Subject Terms: |
Mechanical engineering
Engineering design
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| Accession Number |
178618
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Abstract
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Recent advances in design optimization have significant potential to improve the function of mechanical components and systems. Coupled with additive manufacturing, topology optimization is one category of numerical methods used to produce algorithmically generated optimized designs making a difference in the mechanical design of hardware currently being introduced to the market. ...
Abstract URL:https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/141/11/114502/955325/Machine-Learning-to-Aid-Tuning-of-Numerical?redirectedFrom=fulltext
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