Optimization of Selective Laser Sintering Processing Parameters Based on ISMA-ELM Hybrid Model

Optimization of Selective Laser Sintering Processing Parameters Based on ISMA-ELM Hybrid Model

A new hybrid model is proposed to address the issue of shrinkage in selective laser sintering parts, which combines the Improved Slime mould Algorithm ( ISMA) and Extreme Learning Machine ( ELM) to predict the shrinkage rate of the parts using limited input data. Firstly, three improvement strategie...

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Bibliographic Details
Main Authors: LI Jian, NIE Qian, JIANG Chenglei, GUO Yanling, WANG Yangwei
Format: Article
Language:Chinese
Published: Harbin University of Science and Technology Publications 2025-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
selective laser sintering
slime mould algorithm
extreme learning machine
levy flight
random opposition-based learning
highly disruptive polynomial mutation
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2409
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