Optimization of process parameters of selective laser melted nickel-based superalloy for densification by random forest regression algorithm and response surface methodology

Journal article

Open access

Results in Engineering

2024

Abstract

Random forest regression

url

https://doi.org/10.1016/j.rineng.2024.102182View

Published (Version of record) Open

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Title: Optimization of process parameters of selective laser melted nickel-based superalloy for densification by random forest regression algorithm and response surface methodology
Creators - without role: 安洲葉
Publication Details: Results in Engineering
Identifiers: 9957774196006774
Academic Unit: Department of Materials Science and Engineering, College of Engineering, National Tsing Hua University
Language: English
Resource Type: Journal article