Analysis of the Effect of Open and Close Angle of Workpiece Surface on Contour Error

Author(s):  
Qingzhao Li ◽  
Wei Wang ◽  
Hai Li ◽  
Yunfeng Jiang ◽  
Zhiyong Song

The machining of complicated surface is a hot spot in manufacturing industry in nowadays. The complicated surfaces should be machined with five-axis machine tools because of its geometric characteristics. In this paper, the characteristic of workpiece surface called open and close angle of surface is defined. The transition area from open angle to close angle will cause the twist and singularity of the surface. The twist mainly affects the principle errors of surface. And the singularity will cause the mutation of rotation axis movement and make an influence on the contour errors. To test the influence of the open and close angle on the contour error, a workpiece with special surface characteristics is designed. With the theoretical, simulational and experimental analyses, the influence law from the open and close angle is found out. The conclusion can be helpful for the tool trajectory planning.

1999 ◽  
Author(s):  
Rong-Shine Lin ◽  
C. W. Hu

Abstract This paper focuses on the dynamic contour errors due to the coordinated five-axis motion. The dynamic contour error for tracking a contour is defined as the difference between the desired contour and the actual responded tool trajectory to the contouring motion command. We present a methodology on modeling the contour error under a 5-axis machining motion that requires moving the rotation axes and translation axes simultaneously. The derivation includes the forward kinematics and inverse kinematics in terms of homogeneous transformation matrices of a horizontal live-axis machine tool. The input to the contour error model is the measured axial error on each axis. Tire output is the contour error caused by the coordinated five-axis motion. The axial error considered in this model is assumed due to the drive dynamics and the friction force. Computer programs are developed for simulation of the contour error caused by the five-axis motion. The simulation results and analyses are also provided in this paper.


Author(s):  
Khorssand Haghpassand

Abstract The five-axis constrained and optimal orientation planning is formulated as a design optimization problem that incorporates the process machine’s kinematic constraints with the workpiece and tool geometry, to obtain a constrained setup orientation which exploits the maximum capabilities of existing machines. This work will introduce this problem, and will obtain the setup orientation for two different types of rotation structures, i.e., tool rotation and table rotation in O(N) time. Further, the obtained constrained setup orientation, will be augmented to incorporate the workpiece surface magnitude, along with different machine rotation structures, to obtain an optimal setup orientation for different machine rotation structures. The drilling process is also introduced and formulated as additional constraints to the optimization problem. The primary application of the introduced algorithms, is the machining process, where, they can efficiently reduce the number of tool motions and surface finishing processes. However, the solution is very suitable for many manufacturing applications, such as inspection, assembly, robotics, painting, welding, aerospace, electronic surface mount technology, and etc.


2018 ◽  
Vol 100 (9-12) ◽  
pp. 3113-3125 ◽  
Author(s):  
Tan-Quang Duong ◽  
Pedro Rodriguez-Ayerbe ◽  
Sylvain Lavernhe ◽  
Christophe Tournier ◽  
Didier Dumur

Author(s):  
Zhong Jiang ◽  
Jiexiong Ding ◽  
Qicheng Ding ◽  
Li Du ◽  
Wei Wang

Nowadays the five-axis machine tool is one of the most important foundations of manufacturing industry. To guarantee the accuracy of the complex surface machining, multi-axis linkage performance detection and compensation of five-axis machine tools is necessary. RTCP (Rotation Tool Center Point) is one of the basic essential functions for the five-axis machine tools, which can keep the tool center with the machining trajectory when five axes move synchronously. On the basis of RTCP function, a way to detect multi-axes linkage performance of five-axis machine tools is briefly introduced, and linkage error model is built in accordance with the topological structure of machine tool. Based on the feature of the linkage errors of the five-axis machine tool, the error tracing and compensation method is proposed. Some simulations and experiments that verify the error tracing method could locate the linkage error category are established. Therefore, a new attempt to detect and compensate the linkage error of the five-axis machine tool is provided in this paper.


2012 ◽  
Vol 723 ◽  
pp. 87-93
Author(s):  
Xiao Ping Ren ◽  
Zhan Qiang Liu ◽  
Yi Wan

Numerical controlled milling is widely used in the manufacturing industry because of its high productivity and workpiece surface quality. The aim of this work is to establish a methodology to evaluate the rough machining time and to predict optimal values of cutting speed to minimise machining time of circular cavity, during high speed milling. The circular cavity is divided into volumes distributed according to the real radial depth. The obtained results show that the proposed method is consistent with the actual situation.


1987 ◽  
Vol 121 ◽  
pp. 521-527
Author(s):  
Norbert Bartel ◽  
Michael Ratner ◽  
Irwin Shapiro ◽  
Alan Rogers

VLBI observations show that the center of the nearby (~ 3.3 Mpc distant) spiral galaxy, M81, consists of a single elongated radio core, of dimensions 1000 × 4000 AU, with the major axis aligned, in projection, within 3° (<1σ) of the galaxy's rotation axis. This morphology can be interpreted in terms of an active galactic nucleus (AGN) with either a core-jet structure residing in M81's center or an accretion disk filling out the broadline region of this center. In contrast, the radio structure in the companion galaxy, M82, is very complex. VLBI observations of M82 yield the diameters and spectral index distribution of the hot spots, and the morphology and expansion velocity of the brightest hot spot, 41.9+58. Our results argue against the hot spots being core and jet condensations, or young supernovae (SNe), or typical supernova remnants (SNRs). We suggest that the hot spots in M82 are the remnants of stellar events that yielded some combination of SNRs and “exotic” objects.


Sign in / Sign up

Export Citation Format

Share Document