Optimization Model And Method Of Parameters And Tool Paths For Energy Efficiency In NC Milling

Machinery manufacturing industry is an important pillar industry of China national economy,which consumes a significant portion of total energy consumption and has low efficiency,and becomes a key field focused on energy conservation and environmental protection in China national sustainability-reform implementation.CNC machine tools,as the main body of energy consumption in machinery manufacturing industry,has many energy sources,energy consumption characteristics and energy consumption processes that are complex and varied,and have great energy-saving potentials.How to achieve low energy consumption and high efficiency machining of CNC machine tools is a fundamental issue of great research significance.Relying on the project of the National Natural Science Foundation of China(No.51405396)and the key project of Central University(No.XDJK2014B007),the optimization model and method of NC milling parameters and tool path for energy efficiency is studied in this thesis.The main work is as follows:Firstly,the characteristics of multi-energy sources and energy consumption period of CNC machine tools are analyzed,and the energy consumption model of NC milling process is established,including standby energy consumption model,empty cutting energy consumption model,milling energy consumption model and auxiliary system energy consumption model.Based on this,the correlation coefficient in the energy consumption model is fitted experimentally by nonlinear regression fitting,and the energy consumption data of the actual milling process are compared with the theoretical results of the energy consumption model,and the accuracy and reliability of the established energy consumption model are verified.Secondly,the energy efficiency optimization problem of NC milling parameters is described in detail.The optimized objective function of the minimum milling power and the maximum material removal rate is established by selecting milling parameters as the optimization variable,and the weight of the optimized target is determined based on the grey relational analysis and experimental data,then,an energy-efficient optimization model for NC milling parameters is established.The optimization is solved by linear decrement particle swarm optimization algorithm,and the practical application of the optimal milling parameters is verified.Thirdly,the energy efficiency optimization problem of NC milling tool path is analyzed,and the optimization model of NC milling tool path for energy efficiency is establish,which takes the minimum energy consumption and maximum machining efficiency as the objective.The tool path optimization model is solved by improved genetic algorithm based on the feasible cutter location points generated by mesh discretization of parts.The case verification of tool path optimization for plane milling and curved surface milling is carried out respectively,and the measured values of tool path energy consumption are compared with the calculated values.Finally,according to the proposed optimiazation model and method of NC milling parameters and tool path for energy efficiency,a NC milling parameter and tool path energy efficiency optimization support system is developed by using MATLAB GUI.The system framework and function module interface development are introduced in detail,and the system test and application are carried out by plane milling and curved surface milling.