Multi-objective optimization and decision-making method for hobbing process parameters
A multi-objective optimization and process parameter technology, applied in the field of gear processing, can solve the problems of less consideration of hob parameters, no comprehensive consideration of the requirements of hobbing process target process parameters, and no consideration of the impact of process parameters on tool life, etc. Achieve the effect of strong optimization ability and fast iteration speed
Active Publication Date: 2021-06-11
CHONGQING UNIV
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Problems solved by technology
The parameters of the hob also directly affect the processing time, processing quality, tool life, etc. The current hobbing process parameter optimization mainly focuses on the optimization of cutting parameters, and rarely considers the important role played by hob parameters.
In addition, enterprises usually make empirical adjustments and changes based on existing process parameter cases during processing and production, and do not comprehensively consider the requirements of hobbing processing targets for process parameters
[0003]
Existing research on process parameter optimization mainly focuses on cutting parameters, and less consideration is given to hob parameters that directly participate in the machining process, and traditional optimization methods mostly focus on two optimization objectives, and have not considered the impact of process parameters on tool life. Influence
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[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings.
[0038] For specific implementation: see Figure 1 to Figure 4 , a multi-objective optimization and decision-making method for gear hobbing process parameters. This method is used to guide high-speed dry cutting gear hobbing machine tools for gear processing, including the following steps:
[0039] Step 1. According to the characteristics of high-speed dry cutting gear hobbing, the cutting speed v and the axial feed f a , hob diameter d 0 and the number of hob heads z 0 As the process parameter variable to be optimized, the function model of processing time MT, hobbing quality HQ and tool life TL is constructed, and the processing time MT=t s +t c +t a +t ct +t au , hobbing quality HQ=ω 1 f α +ω 2 f β , tool life And take the shortest processing time, the best hobbing quality, and the maximum tool life as the optimization objective function, which...
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The invention discloses a multi-objective optimization and decision-making method for hobbing process parameters, which is characterized in that a multi-objective optimization model is constructed for widely concerned processing time, hobbing quality and cutter life, and then iterative optimization is carried out based on a multi-objective dragonfly algorithm to obtain a Pareto process parameter solution; hierarchical evaluation is performed on the solution by adopting an analytic hierarchy process to finally obtain an evaluated hobbing process parameter solution for guiding hobbing machining. Meanwhile, different from single cutting parameter optimization, the method also considers the importance of hob parameters, takes the service life of a cutter as one of considered optimization targets, and provides more choices for hobbing process parameter solutions.
Description
technical field [0001] The invention belongs to the technical field of gear processing, and in particular relates to a multi-objective optimization and decision-making method of gear hobbing process parameters. Background technique [0002] Due to the unique characteristics of gear hobbing, the hob and the gear workpiece must undergo strict meshing motions to obtain qualified finished gears. The parameters of the hob also directly affect the processing time, processing quality, tool life, etc. The current hobbing process parameter optimization mainly focuses on the optimization of cutting parameters, and rarely considers the important role played by hob parameters. In addition, enterprises usually make empirical adjustments and changes based on existing process parameter cases during processing and production, and do not comprehensively consider the requirements of the hobbing processing target for process parameters. [0003] Existing research on process parameter optimiza...
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Login to View More IPC IPC(8): G06F30/17G06F111/06
CPCG06F30/17G06F2111/06
Inventor 倪恒欣阎春平倪申福黄一躬
Owner CHONGQING UNIV