Papers by Author: Xing Yu Lai

Abstract: In order to improve the slow response and weak robustness of fuzzy control for machining process, combining qualitative knowledge expressiveness of fuzzy control with excellent local property of wavelet analysis and quantitative learning ability of neural network, a new kind of fuzzy wavelet neural network controller (FWNNC) is presented and a generalized entropy square error (GESE) function is also defined. The FWNNC is then applied to the on-line control of the cutting force under variable cutting conditions. Simulation results show that the proposed controller is superior to the fuzzy control or the neural network control for machining process and it has better static, dynamic performance. Experimental examples are also given to demonstrate the effectiveness of the proposed controller.

Abstract: In order to achieve the intelligent control of milling process, an experimental platform is constructed in XK5140 CNC machine tool. The control system is based on the Simulink model of MATLAB and the controller is established by programming S-function. The experiments are performed on steel workpiece with variable depth of cut by controlling milling force. The experimental results show that the intelligent control of the milling process is feasible using this experimental platform. The proposed controller can adaptively adjust the feed rate till achieving a constant cutting force approaching the set point in varied cutting conditions. CNC milling machine can make full use of its manufacturing capacity when processing the parts, thus improving the cutting efficiency and protecting the tool.

Abstract: This research aims to improve the method of Mini-pore Drilling superimposed an axis vibration for hard-to-cut material of Austenitic Stainless Steel 1Cr18Ni9Ti, as well as to make it easier for the chips to be discharged. A mathematical model of vibration drilling is presented, and the relationship between the vibration parameters and cutting parameters to generate little and short broken-chips in vibration drilling is investigated, analyzed and verified by experiments. The results show that when the processing parameters meet the conditions given in this article, stable and reliable chip-breaking can be achieved. The results provide a theoretical guidance to achieve chip-breaking in mini-pore vibration drilling for hard-to-cut material.

Abstract: Based on reviewing the applications and machining of the stainless steels, the cutting performance of the austenitic stainless steel 1Cr18Ni9Ti is analyzed through the contrastive experiments. This paper studies drilling minipore mechanics of hard-to-cut material—Austenitic Stainless Steel 1Cr18Ni9Ti by simulation and experiment, analogy results displays the trend that drill thrust, torque and temperature changed with amount of feed, it matches with test result in the same cutting condition well. The research results would be of great benefit for the selection of proper tools and cutting parameters in drilling austenitic stainless steels.