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Microstructure and Wear Performance of High Volume Fraction Carbide M_7C_3 Reinforced Fe-based Composite Coating Fabricated by Plasma Transferred Arc Welding 被引量:4
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作者 袁有录 李铸国 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2014年第5期1028-1035,共8页
The fabrication of high volume fraction (HVF) M7C3 (M=Cr, Fe) reinforced Fe-based composite coating on ASTM A36 steel plate using plasma transferred arc (PTA) welding was studied. The results showed that the vol... The fabrication of high volume fraction (HVF) M7C3 (M=Cr, Fe) reinforced Fe-based composite coating on ASTM A36 steel plate using plasma transferred arc (PTA) welding was studied. The results showed that the volume fraction of carbide M7C3 was more than sixty percent, and the relative wear resistance of the coating tested on a block-on-ring dry sliding tester at constant load (100 N) and variable loads (from 100 to 300 N) respectively was about 9 and 14 times higher than that of non-reinforced a-Fe coating. In addition, under constant load condition the friction coefficients (FCs) of two coatings increased first and then decreased with increasing sliding distance. However, under variable loads condition the FCs of non-reinforced a-Fe based coating increased gradually, while that of HVF MTC3 reinforced coating decreased as the load exceeded 220 N. The worn surface of non-reinforced a-Fe based coating was easily deformed and grooved, while that of the HVF M7C3 reinforced coating was difficult to be deformed and grooved. 展开更多
关键词 high volume fraction M7C3 coatings wear performance pta welding
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Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms 被引量:7
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作者 Osman ALTAY Turan GURGENC +1 位作者 Mustafa ULAS Cihan OZEL 《Friction》 SCIE CSCD 2020年第1期107-114,共8页
In this study,experimental wear losses under different loads and sliding distances of AISI 1020 steel surfaces coated with(wt.%)50FeCrC‐20FeW‐30FeB and 70FeCrC‐30FeB powder mixtures by plasma transfer arc welding w... In this study,experimental wear losses under different loads and sliding distances of AISI 1020 steel surfaces coated with(wt.%)50FeCrC‐20FeW‐30FeB and 70FeCrC‐30FeB powder mixtures by plasma transfer arc welding were determined.The dataset comprised 99 different wear amount measurements obtained experimentally in the laboratory.The linear regression(LR),support vector machine(SVM),and Gaussian process regression(GPR)algorithms are used for predicting wear quantities.A success rate of 0.93 was obtained from the LR algorithm and 0.96 from the SVM and GPR algorithms. 展开更多
关键词 surface coating plasma transfer arc(pta)welding WEAR PREDICTION machine learning algorithms
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