TY - JOUR
T1 - Parameters optimization on surface residual stress for titanium alloy based on disk milling process
AU - Huang, Tianran
AU - Shi, Yaoyao
AU - Xin, Hongmin
N1 - Publisher Copyright:
©, 2015, CIMS. All right reserved.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - To reveal the influence of milling parameters on residual stresses in the process of titanium alloy's disk milling, the orthogonal experiments consisted of three factors and three levels were designed. The relationships between milling speed, milling depth, feed speed and residual stresses were established, and the influence mechanisms were analyzed.The results showed that the surface residual stress of workpiece was compressive stress, and the milling speed had the greatest influence on residual stress, followed by the feed speed, and the milling depth had no significant effect. Moreover, Support Vector Machine (SVM) modeling technique was used for prediction of the surface residual stress to optimize the disk milling parameters with the results obtained from the experiments. The empirical exponential regression model was achieved and additional milling experiments were completed to validate SVM approach.
AB - To reveal the influence of milling parameters on residual stresses in the process of titanium alloy's disk milling, the orthogonal experiments consisted of three factors and three levels were designed. The relationships between milling speed, milling depth, feed speed and residual stresses were established, and the influence mechanisms were analyzed.The results showed that the surface residual stress of workpiece was compressive stress, and the milling speed had the greatest influence on residual stress, followed by the feed speed, and the milling depth had no significant effect. Moreover, Support Vector Machine (SVM) modeling technique was used for prediction of the surface residual stress to optimize the disk milling parameters with the results obtained from the experiments. The empirical exponential regression model was achieved and additional milling experiments were completed to validate SVM approach.
KW - Disk milling
KW - Orthogonal experiment
KW - Process parameters optimization
KW - Support vector machine
KW - Surface residual stress
KW - Titanium alloy
UR - http://www.scopus.com/inward/record.url?scp=84945951389&partnerID=8YFLogxK
U2 - 10.13196/j.cims.2015.09.016
DO - 10.13196/j.cims.2015.09.016
M3 - 文章
AN - SCOPUS:84945951389
SN - 1006-5911
VL - 21
SP - 2403
EP - 2409
JO - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
IS - 9
ER -