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Method for quickly predicting removal rate of spiral curved surface grinding material

A technology for grinding materials and helical surfaces, which is applied in the field of screw grinding and can solve problems such as low efficiency and difficulty in precise control of accuracy consistency.

Pending Publication Date: 2020-11-13
SHENYANG POLYTECHNIC UNIV
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Problems solved by technology

[0003] Purpose of the invention: The present invention proposes a rapid prediction method for the material removal rate of spiral surface grinding, and its purpose is to solve the problems of low efficiency and difficult precision control of the existing spiral surface parts in the grinding process

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  • Method for quickly predicting removal rate of spiral curved surface grinding material
  • Method for quickly predicting removal rate of spiral curved surface grinding material
  • Method for quickly predicting removal rate of spiral curved surface grinding material

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Embodiment Construction

[0065] The method for rapidly predicting the removal rate of grinding materials proposed by the present invention adopts the ThunderGBM regression prediction algorithm to predict the removal rate of grinding materials on the workpiece surface. In the prediction stage, ThunderGBM traverses the prediction tasks and tree models in a parallel computing manner, and calculates the calculation values ​​on each branch, which saves a lot of time and improves computing efficiency compared with traditional CPU operations.

[0066] At the same time, the proposed method of the invention covers the prediction mode of the grinding material removal rate of the two methods of free abrasive belt grinding and contact wheel grinding, and provides an approximate calculation method for the contact stress for the two different contact methods, and as a material Input element for removal rate prediction.

[0067] (1) Semi-analytical contact algorithm for contact wheel grinding

[0068] According to ...

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Abstract

The invention relates to a rapid prediction method for the removal rate of a spiral curved surface grinding material, and the method comprises the following steps: carrying out the grinding of the concave surface of a screw rotor in a contact wheel type abrasive belt grinding mode according to the characteristics of the molded surface of the screw rotor, and obtaining the stress distribution p'ofa contact region; machining the convex surface of the screw rotor in a free abrasive belt grinding mode to obtain contact area stress distribution p ''; combining p'and p '' with abrasive belt grinding process parameters, applying a ThunderGBM regression prediction algorithm to obtain prediction model functions; and finally obtaining the material removal rate of the surface of the screw rotor. According to the method, the removal rate of the abrasive belt grinding material of the screw rotor can be efficiently and quickly predicted, so that the machining efficiency is improved on the premise of uniformly removing spiral curved surface parts.

Description

technical field [0001] The invention relates to the technical field of screw grinding, in particular to a method for quickly predicting the material removal rate of spiral curved surface grinding, and the application of the ThunderGBM algorithm to the method for rapidly predicting the material removal rate of spiral curved surface grinding. Background technique [0002] As a key part of screw pump and other equipment, the screw rotor's manufacturing accuracy greatly affects the quality of the whole machine. In the previous screw rotor finishing process, finishing milling, manual grinding and cloth wheel grinding were usually used. At present, these precision grinding processing methods for slender screw rotors can realize the grinding of screw rotors, but they have the problems of low efficiency and difficulty in precise control of precision consistency. Contents of the invention [0003] Purpose of the invention: The present invention proposes a rapid prediction method f...

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Application Information

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IPC IPC(8): G06F17/10
CPCG06F17/10
Inventor 杨赫然孙兴伟刘伟军潘飞董祉序何源
Owner SHENYANG POLYTECHNIC UNIV
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