Research On Path Planning And Optimization For Combined Machining Of Two-dimensional Milling And Cutting

Combined machining of milling and cutting of a batch of parts often is used in theaerospace, mold, automobile, shipbuilding and other industries. With the increasingly richand rapidly changing market, how to organize the machining method and plan machiningpath, to improve the quality and efficiency, looks more and more important. This thesismainly researches how to solve the above problem.Firstly，the problem of path planning and optimization of Combined machining ofmilling and cutting is analyzed in general. Classification methods named "maximumdepth" is introduced; then this thesis creates mathematical model of the path of combinedmachining of milling and cutting. Through analyzing the mathematical model, come to theconclusion: the path optimization can be done in two aspects, on the one hand, thecomplex cavity milling path can be optimized; on The other hand, the path of the toolwhile moving among the contour can be optimized. Therefore formed ideas of the belowresearch and lay a solid theoretical foundation for further study.In the aspect of path optimization in complex cavity milling, this thesis researches themethod based on the principle of “first cut according to line then circumcision”. Thisthesis described in detail in several key steps in the process, including how to bias millingcontour, the theory of how to calculate spacing between machining lines, and how to carryknives fewer while machining. Finally, a two-dimensional milling project example, isgenerated with the other scholars trace method and this trajectory generation method, andthe result proves that the trajectory generation method described in this article has somepractical effect in improving processing efficiency and reducing processing costs.In the aspect of path optimization in tool moving among the contour， pathoptimization algorithm is proposed based on local search and ant colony algorithm in thisthesis. Finally, these algorithms as well as different scholars’ algorithm was tested by aninstance of an engineering, and the test verified that the algorithm described in this thesiscan get more realistic cutting trajectory, and can improve processing efficiency and reduceprocessing costs.