Multi-target comprehensive optimization method for tool holder

A tool holder, multi-target technology, applied in the field of mechanical processing and manufacturing

Active Publication Date: 2019-10-29
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 m

Method used

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  • Multi-target comprehensive optimization method for tool holder
  • Multi-target comprehensive optimization method for tool holder
  • Multi-target comprehensive optimization method for tool holder

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Embodiment Construction

[0074] A multi-objective comprehensive optimization method for tool holders, refer to figure 1 shown, including the following steps:

[0075] Step 1: Construct a tool holder selection model based on RBR, and infer a set of candidate tool holders T = {H B F} that meets the requirements of the processing task; where H is the set of candidate tools, B is the set of candidate toolholders, and F is the set of candidate fixtures. There is a mapping relationship between the candidate tool set H and the elements in the candidate tool holder set B;

[0076]Step 2: Use the AHP-gray relational analysis algorithm 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.

[0077] The preferred method of the present invention is applied to actual cases to prove the feasibility of the preferred method; case study is carried out with the gear processing workshop of a ce...

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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...

Claims

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Application Information

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IPC IPC(8): G06F17/50B23F5/20G06N5/04
CPCB23F5/20G06N5/04G06F2111/06G06F30/20
Inventor 苏丹鄢萍朱新华
Owner CHONGQING UNIV
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