An Octree Method for Milling Force Prediction in Five-Axis Virtual Machine Tool

碩士 === 國立成功大學 === 機械工程學系碩博士班 === 101 === Generally, products for aerospace or mold industries need superior precision. Since the manufacturing processes are difficult and time-consuming in traditional 3-axis machine tool. To improve the accuracy and productivity of the products, the five-axis machin...

Full description

Bibliographic Details
Main Authors: En-PingHsieh, 謝恩平
Other Authors: Rong-Shean Lee
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/47690928739410103283
Description
Summary:碩士 === 國立成功大學 === 機械工程學系碩博士班 === 101 === Generally, products for aerospace or mold industries need superior precision. Since the manufacturing processes are difficult and time-consuming in traditional 3-axis machine tool. To improve the accuracy and productivity of the products, the five-axis machine tools are introduced to the manufacturing industries. In five-axis machining, engineers set the operation parameter more cautious to decrease the possibility of tool breakage caused by peak force, which is ineffective and time-consuming. To solve the aforementioned problems, a system to simulate the milling process and to predict milling force is proposed. The contribution of the thesis includes an algorithm connecting between geometric simulation and instantaneous static milling force model in five-axis machining process and a system to monitor the milling force in the five-axis virtual machine tool. An algorithm combining octree method of geometry simulation with general milling cutter and five-axis semi-discrete milling force model is developed. It presents the cutter-workpiece engagement geometry along tool paths and predicts the milling force at the same time. Moreover, a five-axis virtual machine tool simulation system is developed. It provides basic functions of commercial controllers and presents five-axis motion animation. Furthermore, it presents the comparison with the tool paths via virtual controller and commercial controller. Finally, the algorithm of milling force prediction is verified by previous literature, and it proved that the result of this thesis is reasonable; and the virtual five-axis machine tool system simulates the entire operation appropriately. As a consequence, the prediction of milling force in five-axis virtual machine tool system is reliable and valuable.