scholarly journals Amalgamation of Physics-Based Cutting Force Model and Machine Learning Approach for End Milling Operation

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 1405-1410 ◽  
Author(s):  
Ankit Agarwal ◽  
K.A. Desai
2013 ◽  
Vol 681 ◽  
pp. 186-190
Author(s):  
Jian Min Zuo ◽  
Ling Wu ◽  
Mu Lan Wang ◽  
Bao Sheng Wang ◽  
Jun Ming Hou ◽  
...  

This paper aims at studying a method to identify the cutter runout parameters for end milling. An analytical cutting force model for end milling is proposed to predict cutting force. The cutting force is separated into a nominal component independent of the cutter runout and a perturbation component induced by the cutter runout. Using the cutting force acting on the and directions to calculate the difference between the cutting radius of the adjacent tooth. Then runout parameters are obtained after a series of data processing. The simulation and the experimented results are made to validate the presented methods.


2013 ◽  
Vol 774-776 ◽  
pp. 1174-1180
Author(s):  
M. N. Islam ◽  
A. Pramanik ◽  
A. K. Basak

This paper describes the development of an off-line feed rate scheduling technique based on a mechanistic cutting force model. The proposed technique was developed for an end milling operation. The surface area of the workpiece was divided into a number of segments, and the resultant cutting force at each discrete segment was determined using One Path Analysis software. The calculated resultant cutting force was applied to the feed rate scheduling. Experimental results clearly showed that the implementation of feed rate scheduling reduces machining time considerably and that as the number of segments increases, the effectiveness of the feed rate scheduling increases.


2017 ◽  
Vol 11 (6) ◽  
pp. 958-963
Author(s):  
Koji Teramoto ◽  
◽  
Takahiro Kunishima ◽  
Hiroki Matsumoto

Elastomer end-milling is attracting attention for its role in the small-lot production of elastomeric parts. In order to apply end-milling to the production of elastomeric parts, it is important that the workpiece be held stably to avoid deformation. To evaluate the stability of workholding, it is necessary to predict cutting forces in elastomer end-milling. Cutting force prediction for metal workpiece end-milling has been investigated for many years, and many process models for end-milling have been proposed. However, the applicability of these models to elastomer end-milling has not been discussed. In this paper, the characteristics of the cutting force in elastomer end-milling are evaluated experimentally. A standard cutting force model and its parameter identification method are introduced. By using this cutting force model, measured cutting forces are compared against the calculated results. The comparison makes it clear that the standard cutting force model for metal end-milling can be applied to down milling for a rough evaluation.


2011 ◽  
Vol 291-294 ◽  
pp. 2965-2969
Author(s):  
Yu Jun Cai ◽  
Hua Shen ◽  
Tie Li Qi

A new cutting force model of ball-end mill with double effect is developed through analysing the machining process by using differential geometry. The cutting force model is needed to be revised for the component force in Z direction because of the offset to the actual results. The cutting force and the ball-end milling force coefficients can be given with numerical method. A feedrate optimization strategy is also proposed based on the developed cutting force model and tested effectively.


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