LUO Xiaoyu,FANG Lunbin,YUAN Xiaohu,QIAO Xiang,LAI Jianping,YU Jiaxin.Prediction and Optimization of Sandblasting Process for Mar M247 Nickel-based Superalloy Based on Regression Analysis[J],53(17):176-185, 195
Prediction and Optimization of Sandblasting Process for Mar M247 Nickel-based Superalloy Based on Regression Analysis
Received:September 21, 2023  Revised:March 04, 2024
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DOI:10.16490/j.cnki.issn.1001-3660.2024.17.016
KeyWord:nickel-based superalloy  sandblasting  surface quality  mathematical statistics  regression analysis  process optimization
                 
AuthorInstitution
LUO Xiaoyu School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Sichuan Mianyang , China ;State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, Sichuan Deyang , China
FANG Lunbin State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, Sichuan Deyang , China
YUAN Xiaohu State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, Sichuan Deyang , China;School of Materials Science and Engineering, Chongqing University, Chongqing , China
QIAO Xiang Market Supervision Administration of Changsha County, Changsha , China
LAI Jianping School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Sichuan Mianyang , China
YU Jiaxin School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Sichuan Mianyang , China
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Abstract:
      The work aims to establish a high-precision model of the multivariate sandblasting process for Mar M247 Ni-based superalloy used as gas turbine blade and used it to design the process combination that can realize surface quality of high roughness and low fraction of retained grit.
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