A multi-objective comprehensive optimization method for tool holders

Abstract

The invention discloses a multi-objective comprehensive optimization method for a tool holder, which includes the following steps: Step 1: Construct a tool holder matching model based on RBR, and infer a candidate tool holder set T={H B F} that meets the processing task requirements; Step 2 : The AHP-grey relational analysis algorithm is used to perform multi-objective comprehensive optimization on the candidate tool holder set T={H B F}, so as to obtain the optimal tool holder combination that meets the multi-objective. The present invention combines rule reasoning with the AHP-Grey relational analysis algorithm and applies it to the optimization of tool holders. Matching is no longer restricted by the existing knowledge and experience of production personnel, which improves the accuracy and efficiency of matching and has important practical value.

Description

technical field [0001] The invention belongs to the technical field of machining and manufacturing, and in particular relates to a matching method of a tool holder. Background technique [0002] As a component element of a gear system, gears are widely used and play a key role in mechanical equipment such as wind power generation, aerospace, automobiles and shield machines; the quality of their dynamic characteristics will directly affect the performance of the whole machine . For the processing of gears, gear hobbing is currently the most widely used gear cutting method at home and abroad, and the possession of gear hobbing machines in some countries accounts for about 45% to 50% of the total gear machine tools. Therefore, the hobbing machine tool, as a typical type of manufacturing machine tool, has a significant impact on the manufacturing and processing of gears, especially the reasonable selection of tool holders for gear hobbing machines is of great significance in th...

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Problems solved by technology

[0003] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a multi-objective comprehensive optimization method for tool holders; the matching method combines the information of the tool holder itself, and according to the specific information in the processing task, optimizes a set of tools in the current state. A collection of optimal hobs, tool holders and fixtures suitable for processing tasks; the matching model established in this matching method has a certain degree of self-organization, ensuring that in the process of matching tool holders for processing tasks, In the absence of external manual intervention, the model can meet the needs of quickly and scientifically selecting tool holders for machining tasks, and can be integrated into the system, thereby breaking the traditional manual selection mode of gear hobbing machine tool holders and realizing the selection of gear hobbing machine tool holders. intelligent

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