Prediction and Optimization of Sandblasting Process for Mar M247 Nickel-based Superalloy Based on Regression Analysis

LUO Xiaoyu; FANG Lunbin; YUAN Xiaohu; QIAO Xiang; LAI Jianping; YU Jiaxin

doi:10.16490/j.cnki.issn.1001-3660.2024.17.016

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Surface Technology ›› 2024, Vol. 53 ›› Issue (17) : 176-185, 195. DOI: 10.16490/j.cnki.issn.1001-3660.2024.17.016

Surface Strengthening Technology

Prediction and Optimization of Sandblasting Process for Mar M247 Nickel-based Superalloy Based on Regression Analysis

LUO Xiaoyu¹, FANG Lunbin², YUAN Xiaohu³, QIAO Xiang⁴, LAI Jianping⁵, YU Jiaxin⁵

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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.

Key words

nickel-based superalloy; sandblasting; surface quality; mathematical statistics; regression analysis; process optimization

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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]. Surface Technology. 2024, 53(17): 176-185, 195