Data-driven casting defect prediction model for sand casting based on random forest classification algorithmOACSTPCDEI
The complex sand-casting process combined with the interactions between process parameters makes it difficult to control the casting quality,resulting in a high scrap rate.A strategy based on a data-driven model was proposed …查看全部>>
Bang Guan;Dong-hong Wang;Da Shu;Shou-qin Zhu;Xiao-yuan Ji;Bao-de Sun
Shanghai Key Lab of Advanced High-Temperature Materials and Precision Forming,School of Materials Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,ChinaShanghai Key Lab of Advanced High-Temperature Materials and Precision Forming,School of Materials Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China State Key Lab of Metal Matrix Composites,Shanghai Jiao Tong University,Shanghai 200240,ChinaShanghai Key Lab of Advanced High-Temperature Materials and Precision Forming,School of Materials Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China State Key Lab of Metal Matrix Composites,Shanghai Jiao Tong University,Shanghai 200240,ChinaHefei Casting and Forging Factory of Anhui Heli Co.,Ltd,Hefei 230000,ChinaState Key Laboratory of Materials Processing and Die&Mould Technology,Huazhong University of Science and Technology,Wuhan 430074,ChinaShanghai Key Lab of Advanced High-Temperature Materials and Precision Forming,School of Materials Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China State Key Lab of Metal Matrix Composites,Shanghai Jiao Tong University,Shanghai 200240,China
计算机与自动化
sand casting processdata-driven methodclassification modelquality predictionfeature importance
《China Foundry》 2024 (2)
P.137-146,10
financially supported by the National Key Research and Development Program of China(2022YFB3706800,2020YFB1710100)the National Natural Science Foundation of China(51821001,52090042,52074183)。
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