Machine learning for extending capability of mechanical characterization to improve springback prediction of a quenching and partitioning steel
Release time:2022-12-11
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Impact Factor:6.162
Affiliation of Author(s):机械与能源工程学院
Journal:JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Place of Publication:PO BOX 564, 1001 LAUSANNE, SWITZERLAND
Indexed by:Periodical papers
Correspondence Author:Junying Min
Volume:308
ISSN No.:0924-0136
Translation or Not:no
Date of Publication:2022-01-01
Included Journals:SCOPUS、CNKI、EI、WOS、INSPEC