Papers by Author: Guo Fu Ding

Abstract: Surface roughness is strongly affected by machining parameters. In the past few decades, many researchers have established the relationship between the surface roughness and machining parameters, but less attention has been paid to tool shape and geometry. In addition, the number of tool flutes was ignored, which affects in vibrations and machining system. Therefore, this study first-time includes the tool flutes in addition to cutting speed, depth of cut and feed rate as independent variables. Firstly, a set of machining experiments were conducted using AA6061 as a work piece material to provide original data. Response Surface Model (RSM) adopted to establish the relationship model of surface roughness and machining parameters using Minitab 16. Based on analysis of variance (ANOVA), the results show cutter flutes has higher significant followed by feed rate, depth of cut and cutting speed which has less significant. Finally, machining parameters were optimized to desired surface roughness, and optimization prediction error has limited values between-0.02 and 0.02μm.

Abstract: This paper summarizes the research progress of integral end milling cutter and series of common theories and methods: the construction in the reasoning machine of end milling cutter structure parameters, obtained structure parameter according to the type and the main design parameters of end milling cutter; General the mathematical model and the geometric modeling method of end milling cutter ,based on structure parameters that get from reasoning machine, get 3D parametric model which include all structure information and manufacturing characteristic of end milling cutter; the design technology of end milling cutter Based on manufacturing simulation, check the tool-position trajectory quickly by 2D curved shapes from 2D section Boolean operation, then validate the process rationality and manufacturability of end milling cutter via combine the 2D section simulation technology and the 3D manufacturing simulation. Present some research results finally, the detailed studies details will report in the subsequent articles.

Abstract: In NC machining, the precision of the final parts is affected by many factors, including geometric deviation of machine tool components and structures, deformation of process system caused by cutting force and cutting heat, servo delay, tool wear and so on. Among which geometric error of machine tool is one of the most important factors. This study focused on geometric error identification and compensation of rotation axes of five-axis machine tools. A new method was proposed to identify the 6 geometric error parameters of each rotation axes of five-axis machine tools based on a ball-bar system. Regarding the machine tool as a rigid multi-body system (MBS), a geometric error model was established based on homogeneous transfer matrix (HTM). Finally, the geometric errors were compensated by correcting NC codes by the prototype software system developed in this study. An experiment and an application were conducted and the results show that the proposed method is effective to improve the machining accuracy.

Abstract: According to the requirements of high-speed machining, the feed rate control algorithm based on the acceleration-deceleration control and dynamics conditions is proposed. This algorithm not only satisfies the continuity of displacement, feed rate, acceleration and jerk of the feed movement, but also meets the dynamics condition of high-speed machining. Furthermore, the algorithm is applied to NURBS curve interpolation and optimizes the acceleration-deceleration intervals. At last, the algorithm is verified by simulation. This interpolation algorithm of feed rate control reduces the impact, machine vibration of feed, and improves the surface accuracy and quality of high-speed machining.