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利用机器学习和进化算法改进加砂水刀钻孔工艺

IF 4.1 2区 材料科学 Q2 ENGINEERING, MANUFACTURING
Materials and Manufacturing Processes Pub Date : 2024-08-29 DOI:10.1080/10426914.2024.2394992
Lenin Nagarajan, Siva Kumar Mahalingam, Balaji Vasudevan
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引用次数: 0

摘要

为了改进钇稳定氧化锆涂层 Inconel 718 超耐热合金的加砂水刀钻孔程序，本研究提出了一种综合方法，利用机器学习和进化...
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Abrasive waterjet drilling process enhancement using machine learning and evolutionary algorithms
To improve the abrasive waterjet drilling procedure for yttrium-stabilized zirconia-coated Inconel 718 superalloy, this study suggests an integrated approach using machine learning and an evolution...
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来源期刊
Materials and Manufacturing Processes
Materials and Manufacturing Processes 工程技术-材料科学：综合
CiteScore
9.00
自引率
22.90%
发文量
132
审稿时长
3.4 months
期刊介绍： Materials and Manufacturing Processes deals with issues that result in better utilization of raw materials and energy, integration of design and manufacturing activities requiring the invention of suitable new manufacturing processes and techniques, unmanned production dependent on efficient and reliable control of various processes including intelligent processing, introduction of new materials in industrial production necessitating new manufacturing process technology, and more. Information is offered in various formats, including research articles, letter reports, review articles, conference papers, applied research, book and conference reviews, and entire issues devoted to symposia. All submitted manuscripts are subject to initial appraisal by the Editors, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single blind and submission is online via ScholarOne Manuscripts.
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