Multi-target comprehensive optimization method for tool holder

Abstract

The invention discloses a multi-target comprehensive optimization method for a tool holder, and the method comprises the following steps: 1, building a tool holder selection model based on RBR, and deducing a candidate tool holder set T = {HBF} meeting the requirements of a machining task; step 2, performing multi-target comprehensive optimization on the candidate tool clamp set T = {HBF} by usinga AHP-gray correlation analysis algorithm, thereby obtaining an optimal tool clamp combination meeting multiple targets. According to the method, rule reasoning and the AHP-grey correlation analysisalgorithm are combined and applied to the optimization of the tool holder. The requirement of quickly and scientifically selecting and matching the cutter clamp for the machining task can be met, andthe method can be integrated into a system, so that the selection and matching of the cutter clamp are not limited by the existing knowledge and experience range of production personnel any more, theselection and matching accuracy and efficiency are improved, and the method 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 gear processing, 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 all 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 the processing o...

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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 selection 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, thus breaking the traditional manual selection mode of tool holders for gear hobbing machines and realizing the selection of tool holders for gear hobbing machines. intelligent

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