Cutting Force Transition Model Considering the Influence of Tool System by Using Standard Test Table

Abstract

The cutting force prediction model usually uses the classical oblique transformation method, which introduces the orthogonal cutting parameters into the oblique milling edge shape, and combines the geometric parameters of the tool to convert the orthogonal cutting force into the actual cutting force, thereby predicting the cutting force. However, this cutting force prediction method ignores the impact of tool vibration in actual machining, resulting in a large difference between the prediction model and the actual measurement. This paper proposes a cutting force conversion model considering the influence of the tool system. The proposed model fully considers the impact of tool vibration on the cutting force. On the basis of the orthogonal model, superimposing the additional cutting force generated by tool vibration makes the predicted value of the model closer to the actual cutting force. The results of milling experiments show that the conversion model can obtain higher prediction accuracy. Moreover, compared with the original conversion model, the accuracy of the proposed model is significantly improved.

Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process

“…In this stage, the equilibrium pool is constructed based on the best four particles and their average from the above stage as follows: (1) , C eq(2) , C eq(3) , C eq(4) , C eq(avg) (30) Each particle within the population updates its concentration during the iteration's scope based on each candidate in the selected equilibrium pool with the same probability. In addition, each particle utilizes the same number of updates within the updating process from all of the candidate solutions until the end of the optimization process.…”

“…The estimation of the cutting force during the process completely relies on the precision of the empirical cutting force factors. In order to adjust the factors, extensive experiments have been performed in various cutting conditions [30]. The experiment is usually conducted in low-speed experiments in order to control the dynamic problem generated by cutting force measurement devices.…”