scholarly journals An Analytical Approach to Cutter Edge Temperature Prediction in Milling and Its Application to Trochoidal Milling

2020 ◽  
Vol 10 (5) ◽  
pp. 1746
Author(s):  
Qi Deng ◽  
Rong Mo ◽  
Zezhong C. Chen ◽  
Zhiyong Chang

Cutter edge temperature in milling is an important factor to cutter life. With high cutting speed and feedrate, the cutting efficiency is high; however, the cutter edge temperature is high, shortening the cutter life. Therefore, it is necessary to know the cutter edge temperature in milling. Unfortunately, the cutter edge temperature is difficult to measure and predict in milling. To address the technical challenge, an analytical approach was proposed to predict cutter edge temperature in milling. First, the heat flux into the cutter edge was calculated. Second, by using the Green function, the cutter edge temperature was figured out, and the results obtained from this approach agreed well with that of a recognized test. Then, based on the engagement between the cutter and workpiece in trochoidal milling, the cutter edge temperature was obtained in trochoidal milling. Finally, a temperature comparison was made between trochoidal and side milling based on this analytical approach, and the reasons that trochoidal machining could extend the cutter life were found. This approach is first proposed to calculate the cutter edge temperature in trochoidal milling and can be applied to machining parameters optimization in trochoidal milling and cutter design optimization.

2012 ◽  
Vol 472-475 ◽  
pp. 1809-1812
Author(s):  
Xin Jie Jia ◽  
Xiao Zhong Deng ◽  
Jian Xin Su

Machining parameters optimization in face-milling the hypoid gear was often needed in order to obtain lowest cost or highest productivity. In this study, the optimum value of machining parameters including feed rate, rotation speed are obtained using improved harmony search algorithm(IHSA), to yield minimum total time while considering constrains such as allowable cutting speed, tool life and machine tool capabilities. Results indicate that the IHSA converged to optimum solution with similar accuracy in comparison with the genetic algorithm (GA).


Author(s):  
V Mohanavel ◽  
J Vairamuthu ◽  
C Ramesh Kannan ◽  
B Stalin ◽  
R Balaji ◽  
...  

2020 ◽  
Vol 21 ◽  
pp. 563-567 ◽  
Author(s):  
K. Vinoth Babu ◽  
S. Marichamy ◽  
P. Ganesan ◽  
D. Madan ◽  
M. Uthayakumar ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document