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Machine tool feeding system modeling method and equipment based on dynamics and neural network

A feed system and neural network technology, applied in the field of artificial intelligence and computer-aided manufacturing, can solve the problems of large differences in the simulation effect processing conditions, reduce the simulation accuracy of the simulation model, and cannot accurately reflect the processing results, etc., and achieve high flexibility. , the effect of increasing nonlinear ability, high precision and generalization ability

Active Publication Date: 2020-09-08
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

However, the friction force in a mechanical system is related to many factors, involving mechanics, heat transfer, chemistry, physics and other disciplines, it is difficult to obtain an accurate mathematical model of friction force
In order to solve this problem, the above model ignores the hinge gap, thread gap, temperature change and other conditions in the real environment to approximate the real friction force, thereby reducing the simulation accuracy of the simulation model, so that the simulation effect is consistent with the actual machining. The situation is quite different and cannot accurately reflect the real processing results

Method used

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  • Machine tool feeding system modeling method and equipment based on dynamics and neural network
  • Machine tool feeding system modeling method and equipment based on dynamics and neural network
  • Machine tool feeding system modeling method and equipment based on dynamics and neural network

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Embodiment Construction

[0048] 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. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0049] see figure 1 , figure 2 , image 3 , Figure 4 , the modular machine tool feed system modeling method based on dynamics and neural network provided by the present invention mainly includes the following steps:

[0050] Step 1: Calculate the dynamic equation of the mechanical part of the machine tool feed system according to the kinematics and dynamic characteristics of the components...

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Abstract

The invention discloses a machine tool feeding system modeling method and equipment based on dynamics and a neural network, and belongs to the field of artificial intelligence and computer aided manufacturing. The method specifically comprises the following steps: firstly, deducing a kinetic equation of the feeding system according to the kinetic and kinematic characteristics of each part of the machine tool feeding system; establishing a dynamic simulation model of the feeding system according to the dynamic equation; identifying partial parameters of the simulation model by using a genetic algorithm to obtain accurate values of the parameters; and finally, using the neural network model to replace the workbench displacement module, and the output of each module of the original model is used as the input feature of the neural network model, so that the neural network outputs the simulation displacement of the hybrid model. According to the modeling method implemented by the invention,the nonlinear expression capability of the kinetic model can be improved, and the simulation precision and generalization capability of the model are improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and computer-aided manufacturing, and relates to a modeling method and equipment for a machine tool feed system based on dynamics and neural networks, and more specifically, to a modular machine tool feed system based on dynamics and neural networks. System Modeling Methods. Background technique [0002] With the development of information technology, virtual manufacturing technology is widely used in various fields of industrial manufacturing, and the basic equipment of the manufacturing process is the machine tool, so virtual technology is inseparable from the virtual machine tool. The virtual machine tool is the reproduction of the machine tool in the virtual space of the computer. With the help of virtual machine tools and performance simulation and processing simulation on them, it is possible to test the performance of the machine tool, simulate the machining process, and inspect the ...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F30/17G06N3/08G06F119/14
CPCG06F30/20G06F30/17G06N3/086G06F2119/14
Inventor 杨建中方问潮黄德海蒋亚坤
Owner HUAZHONG UNIV OF SCI & TECH
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