Research On Green High-Efficiency Cutting Process Optimization And Its Intelligent Expert System

In the context of energy saving & emission reduction and the "Made in China 2025" plan,how to reduce energy consumption and carbon emissions in the machining process had become a key content of research in industry and academia.Machine tool energy consumption accounted for a considerable part of the energy consumption of the machinery manufacturing industry.Achieving green high-efficiency cutting processing(GHECP)was an effective way to reduce production and processing energy consumption and environmental emissions,improve processing efficiency for machine tool machining.However,the solutions to GHECP parameters optimization and process formulation were not satisfied.And software systems were not sufficient,which could not only evaluate the greenness of REA in the process of machine tool cutting,but also realized intelligent reasoning optimization for GHECP.Those are waiting to be solved.Based on this,the evaluation index system of resource and environment attributes(REA)and its quantification method,green cutting process optimization method and its intelligent expert system(IES)in machine tool manufacturing process,those were studied in this paper.Intelligent optimization guidance was provided for GHECP of typical parts.The research results had very important theoretical significance and application value for realizing energy saving and emission reduction in manufacturing process of equipment manufacturing industry.REA analysis model of the machine tool manufacturing process was presented in the paper.REA data acquisition platform was built to collect REA data of the machine tool's typical parts cutting process.REA evaluation index system was established in the machine tool manfacturing process and the quantitative calculation method of REA green degree evaluation index was proposed.Using the fuzzy analytic hierarchy process(AHP),a multi-objective comprehensive evaluation and optimization method for REA of cutting process was proposed,which realized REA greenness evaluation and selection of machine tool cutting process.Based on the example data of the typical machining parts on the machine tool and the experimental data of the research group,the energy flow of the machine tool cutting process and the energy consumption components of the machine tool components were analyzed.The energy consumption model of machine tool cutting machining was given,and the energy consumption of each state was analyzed in the cutting process.The energy consumption quantitative calculation model of the whole process was put forward in machine tool manufacturing process,and the power modeling and analysis examples of machine tool cutting process were given.Cutting specific energy consumption model of machine tool manufacturing and the energy efficiency model to improve the effective energy output of machine tool processing system were given.The carbon emission boundary during machine tool cutting determined.Carbon emissions caused by energy consumption,material removal,tool loss and cutting fluid during machine tool cutting were analyzed,and its quantitative method and calculation model were established.The optimization method of machine tool cutting process parameters with the lowest cutting specific energy consumption(CSEC)and the minimum processing time was proposed,and optimization model for high-efficiency and low-consumption machining process parameter was established to meet the demand of energy saving.Based on the optimization model for highefficiency and low-cost cutting process parameters,a multi-objective and multi-step comprehensive optimization method for high-efficiency,low-consumption and low-carbon cutting process was proposed,which realized multi-objective comprehensive optimization of high efficiency,low consumption and low carbon in the cutting process of machine tools.It could meet the needs of low-carbon manufacturing for energy saving and emission reduction in machine tool processing.Combined with the optimization example,the above two cutting process parameters optimization methods were compared and analyzed.Based on the above research,an intelligent expert system for green high-efficiency cutting process(IESGHECP)was developed with the knowledge base in this paper.The system mainly included resource environment attribute data query & comprehensive evaluation module and GHECP intelligent optimization module.It could not only evaluate the greenness of REA in the process of machine tool cutting,and selected the preferred cutting process with the best REA,but also realized intelligent reasoning optimization for the process of typical parts to be processed.Intelligent optimization guidance was provided for GHECP of typical parts.A comprehensive instance retrieval algorithm combined fuzzy analytic hierarchy process with CRITIC algorithmwas provided to perform similarity calculation and similarity judgment,which integrated instances,attributes and subjective and objective weights to optimize multidimensional simultaneously.Typical parts to be processed were multi-dimensional simultaneous intelligent reasoning and optimization.An optimized solution and plan for GHECP parameter selection and process formulation was provided.Taking the headstock spindle of a typical machine tool as an example,the example analysis of the intelligent optimization for GHECP using this system was given.Compared with common cutting process used to machine the case,the cutting processing energy consumption of optimized GHECP was decreased by 10.71%,its processing time was reduced by 22.45%,and its carbon emission was cut down by 1.44%.