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粉末成分、等离子钨极氩弧焊参数对Ni-Cr-Si-B合金熔敷层稀释率、微观结构及硬度的影响:基于机器学习技术的实验研究与预测

Effect of powder composition, PTAW parameters on dilution, microstructure and hardness of Ni-Cr-Si-B alloy deposition: Experimental investigation and prediction using machine learning technique.

作者信息

Chenrayan Venkatesh, Shahapurkar Kiran, Manivannan Chandru, Rajeshkumar L, Sivakumar N, Rajesh Sharma R, Venkatesan R

机构信息

AU-Sophisticated Testing and Instrumentation Centre (AU-STIC) and Department of Mechanical Engineering, Alliance School of Applied Engineering, Alliance University, Bengaluru, 562106, India.

Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India.

出版信息

Heliyon. 2024 Aug 13;10(16):e36087. doi: 10.1016/j.heliyon.2024.e36087. eCollection 2024 Aug 30.

DOI:10.1016/j.heliyon.2024.e36087
PMID:39247355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11378951/
Abstract

The implementation of hard-facing alloy on the existing materials caters the need for high-performance surfaces in terms of wear and high temperatures. The present research explore the effect of Plasma Transferred Arc Welding (PTAW) parameters and powder composition on dilution, microstructure and hardness of the commonly used hard-facing alloy Ni-Cr-Si-B powder. The hard-facing alloy was deposited with three weight proportions of boron (2.5 %, 3 % and 3.5 %). The statistical-based Grey Relational Analysis (GRA) followed by a Machine Learning Algorithm (MLA) was implemented to identify the ideal parameters and degree of significance of each parameter and for the prediction of the responses. The dilution percentage, microstructure analysis, and phase detection were estimated through elemental analysis, Scanning electron Microscopy (SEM) and X-ray Diffraction Analysis (XRD) respectively. The experimental and modelling results revealed that 400 mm/min of scanning speed, 8 gm/min of powder delivery, 14 mm of stand-off distance, and 120 A of current were the optimal parameters along with 3.5 wt% of boron powder composition to yield a better dilution, microstructure and hardness.

摘要

在现有材料上堆焊硬质合金可满足在磨损和高温方面对高性能表面的需求。本研究探讨了等离子弧堆焊(PTAW)参数和粉末成分对常用的Ni-Cr-Si-B硬质合金粉末的稀释率、微观结构和硬度的影响。采用三种硼重量比例(2.5%、3%和3.5%)来堆焊硬质合金。实施了基于统计的灰色关联分析(GRA),随后采用机器学习算法(MLA)来确定理想参数、每个参数的显著程度,并预测响应。分别通过元素分析、扫描电子显微镜(SEM)和X射线衍射分析(XRD)来估算稀释率百分比、微观结构分析和相检测。实验和建模结果表明,扫描速度400mm/min、送粉速度8g/min、离焦距离14mm和电流120A是最佳参数,同时3.5wt%的硼粉末成分可产生更好的稀释率、微观结构和硬度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/138ab1c4cb52/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/2a8468fe33ec/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/01b6fe718e85/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/e0e911e97c08/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/d4b4afa1bb5c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/ca81d2626873/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/928a19703c7f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/093f9a884218/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/d4d269d55d7c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/d76e52fa8135/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/138ab1c4cb52/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/2a8468fe33ec/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/01b6fe718e85/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/e0e911e97c08/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/d4b4afa1bb5c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/ca81d2626873/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/928a19703c7f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/093f9a884218/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/d4d269d55d7c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/d76e52fa8135/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5b7/11378951/138ab1c4cb52/gr10.jpg

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