With the rapid development of aerospace,defense,carrier,power and machinery industry,a large number of complex surface shape components with high performance and demanding performance are springing up.Because the complex surface is mostly Non developable ruled surface,the end milling machining method has disadvantages of low efficiency and poor surface roughness.The flank milling can avoid the above problems.Due to the flank milling tool is in line contact with the machined surface,we need further research on the flank milling machining algorithm to reduce the machining error.For this reason,this paper mainly studies the following aspects for the flank milling of Non developable ruled surface.Firstly,this paper studies Non developable ruled surface modeling and takes the blade surface as the research object.The NURBS interpolation technique is used to interpolate the baseline data points of the blade into the B-spline form.According to the geometric properties of ruled surface,the two baseline corresponding parameter points are connected to the blade surface and calculated the isometric surface of the blade surface to obtain the blade surface.The evaluation system method of the blade surface model is proposed to verify the smoothness of the blade.The above preparations lay the foundation for the following work.Secondly,a tool location optimization method based on the least squares is proposed.This paper studies the tool planning algorithm based on the least square method for the flank milling ruled surface of cylindrical cutter and conical cutter.The numerical example is used to verify the simulation.The results show that the algorithm has some advantages.On the basis of the above tool planning algorithm,a method of calculating the optimal axis vector by combining artificial fish swarm with particle swarm optimization is proposed in this paper.The optimal axis vector direction is obtained.Finally,this paper uses VERICUT software for simulation processing based on the research of the flank milling cutter location algorithm.Using UG software to get tool location file and post-processing.The virtual simulation machining system is built on the VERICUT platform and the entire impeller is simulated.Comparing with the machining error of the tool position data files with different algorithms.The accuracy of the proposed algorithm is better than the comparison algorithm and the surface quality of the blade is significantly improved,which verifies the correctness of the proposed algorithm. |