...Xina Huang; Deng Wang; Wenjing Chen; Miaoyi Li Purpose The purpose of this paper is to accurately predict and optimize the process parameters of laser metal deposited Ni-based superalloys using machine learning ( ML ). Design/methodology/approach Orthogonal experiments were carried out...

... property prediction and process parameter selection of SLM-ed IN718 by taking full advantage of their process-tensile property data mined from literature. Design/methodology/approach Extensive data of interest are mined from literature, among which the missing data are then imputed by fitting Gaussian...

... affects the mechanical properties of SLM-ed materials. This study aims to develop robust RD prediction models based on the data accumulated in literature using machining learning approaches. Design/methodology/approach By mining the literature of SLM-ed IN718, a comprehensive data set is created...