Data-driven approaches for predicting mechanical properties and determining processing parameters of selective laser sintered nylon-12 components

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Publication Details

Journal
Discover Mechanical Engineering
Published
2025-03-22
DOI
https://doi.org/10.1007/s44245-025-00094-7
Citations
5
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
3.57

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article

Data-driven approaches for predicting mechanical properties and determining processing parameters of selective laser sintered nylon-12 components

Candice Majewski, Inna M. Gitman, Ruixuan Tu
5 citations
Discover Mechanical Engineering
Advanced machining processes and optimization
3.57
article

Data-driven approaches for predicting mechanical properties and determining processing parameters of selective laser sintered nylon-12 components

Candice Majewski, Inna M. Gitman, Ruixuan Tu
article en
5 citations

Abstract

No abstract available for this paper.
Discover Mechanical EngineeringVol. 4(1)
University College London (GB), University of Sheffield (GB), University of Twente (NL)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 8%
Advanced machining processes and optimization
3.57
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