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Optimum design method for steel rail weld seam finish-milling machine tool beam body based on BP neural network and genetic algorithm

A BP neural network and genetic algorithm technology, applied in the field of optimization design of the beam body of the machine tool for precision milling of rail welds, can solve the problems of insignificant optimization effect and long design cycle.

Active Publication Date: 2016-05-11
WUHAN UNIV OF TECH
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Problems solved by technology

At present, the optimization of the beam body is mainly based on empirical design, which often needs to be optimized through trial and error, which has the disadvantages of long design cycle and unobvious optimization effect

Method used

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  • Optimum design method for steel rail weld seam finish-milling machine tool beam body based on BP neural network and genetic algorithm
  • Optimum design method for steel rail weld seam finish-milling machine tool beam body based on BP neural network and genetic algorithm
  • Optimum design method for steel rail weld seam finish-milling machine tool beam body based on BP neural network and genetic algorithm

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[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] like image 3 , Figure 4 As shown, a method for optimal design of beam body of rail weld fine milling machine tool based on BP neural network and genetic algorithm includes the following steps:

[0042] S1. Determine design variables and optimization goals

[0043] S101. Determination of design variables: select the dimension P of the auxiliary structure used to support or reinforce the whole in the beam body 1 ,P 2 ,...,P n as a design variable;

[0044] S102. Determination of the optimization target: the optimization criterion of the beam body is to increase the stiffness and reduce t...

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Abstract

The invention discloses an optimum design method for a steel rail weld seam finish-milling machine tool beam body based on a BP neural network and a genetic algorithm. The optimum design method includes the steps that firstly, the size of an auxiliary structure for supporting or reinforcing a whole in the beam body is selected as a design variable, and the optimization criterion of the beam body is to improve rigidity and reduce total weight on the premise of ensuring structural strength; secondly, the strength, rigidity and weight of the beam body are obtained by adopting an orthogonal test method to serve as sample data; thirdly, the neural network is designed and is trained with the sample data until the difference between a predicted value and a sample value is defined within an allowance error range; fourthly, a population is generated, and population fitness and constraint condition values are calculated by using the neural network so that genetic algorithm optimization solution can be conducted; fifthly, optimum obtained parameters are analyzed in a simulation mode to determine optimization result feasibility. On the premise of ensuring the structural strength, the structural rigidity is effectively improved, the structural weight is effectively reduced, and therefore the overall structural performance of a finish-milling machine tool is promoted.

Description

technical field [0001] The invention specifically relates to a method for optimally designing a crossbeam body of a rail weld fine milling machine tool based on a BP neural network and a genetic algorithm. Background technique [0002] Rail weld fine milling CNC machine tool is a new type of highly automated special equipment integrating machine, electricity, hydraulics, measurement and control. It is mainly used for shaping the working edge and working surface of long rail after welding. The beam body is an important supporting part of the machine tool, and its structure is reasonable or not directly affects the dimensional machining accuracy and operation stability and reliability of the machine tool. The shape of the beam body structure is complex, mainly including the main beam and the auxiliary beam, and the size arrangement of each part has an important influence on the strength, stiffness and weight of the whole. How to optimize the size of each part is an important ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/02G06N3/08G06N3/12
CPCG06F30/17G06N3/02G06N3/086G06N3/12G06N3/126
Inventor 毛华杰华林张保军钱东升
Owner WUHAN UNIV OF TECH
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