@inproceedings{a0f7fa8a590441598eabdd2032497d6b,
title = "A study of cutting parameters optimization in high-speed milling gh4169 with tialn coated carbide tool",
abstract = "The orthogonal experiment is processed for high-speed milling superalloy GH4169 with TiAlN coated carbide inserts. The surface roughness prediction model based on cutting parameters is established by using the least-squares regression method. And the effect of cutting parameters on surface roughness is studied. According to the prediction model of surface roughness, a model of cutting parameters optimization by using genetic algorithm based on annealing penalty function is established for maximum material removal rate under specified surface roughness values. Obtain the optimal parameter combination when the surface roughness Ra≤0.2μm, and the experimental validation is done. These results provide the basis for improving processing efficiency of processing GH4169 and choosing parameters under specified constraint conditions.",
keywords = "Annealing penalty function, Genetic algorithm, Gh4169 high-speed milling, Surface roughness",
author = "Weiwei Liu and Yuan Yu and Feng Li and Changfeng Yao and Bin Liu",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.628.144",
language = "英语",
isbn = "9783037855706",
series = "Advanced Materials Research",
pages = "144--149",
booktitle = "Manufacturing Engineering and Technology for Manufacturing Growth",
note = "2012 International Conference on Manufacturing Engineering and Technology for Manufacturing Growth, METMG 2012 ; Conference date: 01-11-2012 Through 02-11-2012",
}