Research On CNC Batch Machining Cutting Parameter Energy Saving Optimization Model And Method Considering Tool Wear

The development of the global industrial level,while promoting economic development,also makes the problem of energy shortage and environmental pollution more prominent.Against this background,vigorously promoting the development of energy-saving and green manufacturing has become one of the main contents of China's strategy of strengthening the country.In industrial manufacturing,numerical control batch processing is a common processing method.The choice of process parameters and the aggravation of tool wear in the processing process will affect the processing energy consumption.Therefore,the energy consumption structure is complex,the energy consumption is large and the energy efficiency is low.Under the support of the National Natural Science Foundation of China-"Theory and method of energy efficient process planning for flexible processing based on depth-element reinforcement learning"(51975075),this paper takes numerical control batch processing as the object,comprehensively considers the influence of the interaction between process parameters and tool wear on the energy consumption of batch processing in the processing process,and carries out research on the energy-saving optimization of numerical control batch processing parameters considering tool wear.Firstly,the characteristics of energy consumption in numerical control batch machining are analyzed,and the influence of tool wear and process parameters on energy consumption is studied through cutting experiments.On this basis,the frame of energy-saving optimization for numerical control batch machining considering tool wear is established.Secondly,analysis of tool wear and process parameters on single characteristics influence energy consumption of batch processing mechanism,and the tool wear factors of batch processing parameters as optimization variables,with the total energy consumption and the total time as the goal,characteristics of single batch process parameter optimization model is set up,finally,a multi-objective simulated annealing algorithm to solve optimization model,reveal consider batch processing scheme of tool wear on total energy consumption and the influence law of total time.Thirdly,the mapping relationship between tool and process parameters and mixed batch processing energy consumption of multi-feature parts is systematically analyzed to reveal the influence of tool type,tool wear and process parameters on processing energy consumption.An optimization model of multi-feature hybrid batch processing parameters with total energy consumption and total time as the objectives is constructed,and the optimization model is solved based on multi-objective cuckoo search algorithm,and the optimization results under different processing objectives are obtained.Finally,the numerical control single feature batch process parameter optimization model and method considering tool wear and numerical control multiple feature mixed batch process parameter optimization model and method considering tool wear are analyzed through experimental cases,and the effectiveness and feasibility of the proposed method are verified.