Thread turning process parameter optimization method for green manufacturing

Abstract

The invention discloses a thread turning process parameter optimization method for green manufacturing, which comprises the steps of 1) determining optimization variables such as the cutting speed Vcand the feeding amount f; 2) establishing a multi-objective optimization function; 3) determining constraint conditions; 4) optimizing the objective function to obtain a Pareto optimal solution set thereof; 5) determining the weight of each target attribute according to an AHP (Analytic Hierarchy Process) and RS (Rough Set) based combined weight determination method, and obtaining an optimal solution meeting actual processing requirements from the optimal solution set in the step 4. In the application process of the method disclosed by the invention, parameters in the model can be determined firstly according to the actual condition, then the model is solved by adopting the method so as to obtain the cutting speed Vc and the feeding amount f when the carbon emission, noise emission and dust emission are synthetically optimized, and finally a purpose of reducing the carbon emission, noise remission and dust emission is achieved through controlling mechanical equipment.

Description

technical field [0001] The invention relates to the technical field of mechanical cutting, in particular to a method for optimizing thread turning process parameters oriented to green manufacturing. Background technique [0002] In the production process of mechanical processing, the choice of cutting amount directly affects the product quality and production efficiency of the processed products. Reasonable selection of cutting amount is of great significance to improve production efficiency and reduce production cost. At present, the selection of cutting amount mainly depends on experience or consulting relevant information, but the cutting amount selected according to this method is usually not optimal, which will lead to low production efficiency, waste of resources and huge environmental emissions. [0003] At present, there are many new technologies related to the optimization of thread cutting parameters at home and abroad. However, most of the existing technologies ...

AI Technical Summary

Problems solved by technology

However, most of the existing technologies use cost, time, etc. as optimization goals to select appropriate machining parameters.

Moreover, the prior art seldom involves the method of optimizing processing parameters by integrating the processing environment and environmental impacts (such as carbon emissions, dust emissions, and noise emissions during processing)

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