Research And Development Of Post-processing System For Five-axis Machine Tool Based On Solid Model

Five-axis CNC machine tool has become critical equipment for surface machining in manufacturing industry and research and development of defense equipment with its high-precision, high flexibility and high efficiency, which urgently needs more resources utilized in research of its key technology. In comparison with three-axis machining, employing five-axis machining can increase machining efficiency and workpiece accuracy effectively. As a m ember of various methodologies of five-axis machine tool, post-processing technology has developed into the software called postprocessor. Because domestic postprocessor is short of commonality and practicality, this dissertation primarily focuses on the technology of post-processing, and exploiting a post-processing system which include senior correction functions for inverse solution sets and selecting the more appropriate solution intelligently based on solid model of machine tool.This post-processing system which has the characteristics of university, practicality and adaptability consists of the user interface layer, data access layer and data processing layer. User interface layer is mainly about loading the machine model and setting the relevant parameters. Data access layer includes kinematic model library of five-axis machine tool, rules library of cutter location data and rules library of numerical control data. Data processing layer is the major research in the dissertation, which illustrates how to correct the solution of the problem and select the more suitable solution for actual machining. Firstly, the pre-treatment for the cutter location source file is implemented, then carrying out the methods of correction and selection for the solution sets derived from kinematic equation. Senior correction functions contain not only reduction of a large change of movement of singular axis due to singularity, but also correction for translation axis and rotary axis which are over travel. Selecting solution intelligently is to get the solution sets without collision during maching after correction, which includes the method with respect to reconstruction of two solution sets, determination of clamping position of tool and workpiece and getting the final solution sets based on the shortest machining path, respectively. Both correction functions and selec tion of more practical solution sets have to depend on collision detection, which means the actual collision status between components of machine tool have been taken into consideration during the whole procedure in optimization of inverse solution sets to guarantee the security, proving the difference point between the system proposed here and other general interior post-processors.This system presents a novel concept to describe the global optimization for inverse solution sets based on solid model of machine tool. Fundamental research methods are introduced for the dual table machine tool, which contain theoretical analysis for kinematic model, correction functions and selection strategies for more practical numerical control data based on the collision detection module and the verification on the experiment. The algorithm of correction for inverse solutions proposed here can improve the application value during the actual five-axis machining availably, which can be successfully applied to other five-axis machine tools.