TY - JOUR
T1 - Research on specific cutting energy and parameter optimization in micro-milling of heat-resistant stainless steel
AU - Gao, Shoufeng
AU - Pang, Siqin
AU - Jiao, Li
AU - Yan, Pei
AU - Luo, Zhiwen
AU - Yi, Jie
AU - Wang, Xibin
N1 - Publisher Copyright:
© 2016, Springer-Verlag London.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - In present research, micro-milling of heat-resistant stainless steel (12Cr18Ni9) is conducted with the purpose of revealing influence mechanism of cutting tool edge radius and cutting parameters on specific cutting energy. In order to clarify the relationship between specific cutting energy and the geometrical characteristics of the cutting tools as well as cutting parameters, a newly designed experimental method is put forward, thereafter, the evolution rules of specific cutting energy along with cutting parameters is researched in detail. Furthermore, a prediction model of the minimum chip thickness is built by using fuzzy logic method based on experimental data, objective to optimize cutting parameters during micro-milling of 12Cr18Ni9, good agreements are achieved between predicted results and experimental results in verification tests, which means the specific cutting energy can be well controlled with the parameter recommended by the constructed model. The above research has great significance in improving tool life and machining quality.
AB - In present research, micro-milling of heat-resistant stainless steel (12Cr18Ni9) is conducted with the purpose of revealing influence mechanism of cutting tool edge radius and cutting parameters on specific cutting energy. In order to clarify the relationship between specific cutting energy and the geometrical characteristics of the cutting tools as well as cutting parameters, a newly designed experimental method is put forward, thereafter, the evolution rules of specific cutting energy along with cutting parameters is researched in detail. Furthermore, a prediction model of the minimum chip thickness is built by using fuzzy logic method based on experimental data, objective to optimize cutting parameters during micro-milling of 12Cr18Ni9, good agreements are achieved between predicted results and experimental results in verification tests, which means the specific cutting energy can be well controlled with the parameter recommended by the constructed model. The above research has great significance in improving tool life and machining quality.
KW - Cutting parameters optimization
KW - Fuzzy logic
KW - Micro-cutting, edge radius
KW - Specific cutting energy
UR - http://www.scopus.com/inward/record.url?scp=84976312659&partnerID=8YFLogxK
U2 - 10.1007/s00170-016-9062-x
DO - 10.1007/s00170-016-9062-x
M3 - Article
AN - SCOPUS:84976312659
SN - 0268-3768
VL - 89
SP - 191
EP - 205
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 1-4
ER -