Analysis And Optimization Of Cutting Process Parameters Of Oils On Water

The advocacy and promotion of the concept of green manufacturing has made us realized that the low energy consumption and low pollution manufacturing model has become the mainstream direction of China's current manufacturing development,As a new green cutting technology,Oils on Water are of great significance to the research and optimization of the technological parameters of the cutting technology.This paper is devoted to finding a combination of process parameters that can not only minimize the loss of cutting tools with Oils on Water,but also improve the quality of the processed workpiece.Select 0Cr18Ni9 stainless steel as the test material,Select the cutting force F generated during the cutting process and the surface quality of the workpiece,that is,the surface roughness Ra as the research target.Select the key factors that have a greater impact on the research goal as process parameter variables,The key factors are the cutting three factors,cutting speed,feed amount,and back-feeding amount.Using the Response Surface interface in Design-expert software to conduct composite experiments in response surface design center(Central Composite Design,CCD).Analysis and comparison of cutting force and surface roughness in dry cutting,emulsion cutting and OoW cutting.the result shows:OoW cutting can more effectively reduce cutting force and surface roughness.Analysis of OoW cutting test results and model fitting,Summarize the process parameters and the interaction between each pair based on the influence degree and change law of the two research goals.Provide scientific theoretical guidance for comprehensive optimization of research objectives.Using entropy method to determine the weight of two research goals,Weighting the research goals separately to transform the two research goals into a comprehensive indicator,Using response surface method and genetic algorithm to optimize BP neural network(BP-GA)two multi-objective optimization methods to optimize analysis of comprehensive indicators,Compare the results of the two optimization methods,After optimization,the cutting force and surface roughness of the two sub-targets have reached a better level,The optimal parameter combination after optimization using response surface method is: the cutting speed value is 130 m/min,the feed value is 0.1 mm/r,and the back-feeding knife value is 0.15 mm.The value of the cutting force based on this parameter combination is 71 N,and the value of the surface roughness is 1.904?m.The best parameter combination optimized by the BP-GA algorithm is: the cutting speed value is 130 m/min,the feed value is 0.13 mm/r,and the back-feeding amount is 0.17 mm.The value of the cutting force based on this parameter combination is 74.6N,and the value of the surface roughness is 1.973?m.Comparison found that the optimization method of response surface method is more advantageous for the optimization of cutting parameters of Oils on Water,It provides a certain reference value for the promotion and optimization of the cutting technology of oil film with water droplets in the future.