Research And Application Of High Efficiency And Low Carbon NC Machining For Complex Surface Of Runner Pelton Turbine

With the rapid development of Chinese economy,the consumption of resources is increasing.Hydroelectricity,as a clean and environmentally friendly energy,plays an important role in the development and utilization of electric power resources,the two important ways of hydroelectricity generation are Francis turbine-generator and Pelton runner-generator.Pelton runner-generator is mainly used in mountainous areas where small flow is high hydraulic,but due to the late start of Pelton runner-generator in China,the research is relatively few,especially CNC of the complex water bucket surface is a few large domestic manufacturers can process high quality,efficient complex surface CNC.High quality and efficiency of complex surface of water bucket is important,In response to such situation,under ultrahigh runner Pelton turbine’s core components manufacturing workshop of new pattern project,the paper focus on research and application of high efficiency and low carbon NC machining for complex surface of Pelton runner turbine,giving machining parameters guidance of complex surface of runner Pelton turbine.Firstly,the paper analyzes and studies difficulties in processing the complex surface of runner Pelton turbine,offering the corresponded solutions.The complex surface of the bucket is divided into different areas for machining process analysis,and the machining parameters and cutting tools are preliminarily selected.Then a certain type of bucket is selected to model based on UG through 3D reverse.Secondly,it builds tool path generation for different regions and comparison is made between different methods of generating tool path in same regions.UG/Post builder is adopted to develop and set the NC code post-processing that can be recognized by the simulation machine tool,developing the environment of this simulation tool based on Vericut.It verifies the correctness of NC code,optimizing the NC code by variational feed rate too.Finally,based on the multi-objective optimization model of spindle force and machine tool cutting energy consumption,the fast reading non dominated genetic algorithm(NSGA-II)with elite strategy is used to solve the problem which can contribute optimized processing elements(spindle speed,feed speed,cutting speed,cutting width).Adopting the optimization of machining parameters,the new cutter path is planned and the NC code is generated by post-processing.The parameters of machining spindle force,power and material removal rate before and after the optimization model are compared to verify the correctness of the model optimization.The rationality is verified by the test on the five-axis machine tool.