Method for predicting and simulating errors of end-milled surface

A technology of processing error and processing surface, which is applied in the field of end milling processing surface error prediction and simulation, can solve the problems of difficult analysis of processing surface error, no strict quantitative or logical relationship, etc.

Active Publication Date: 2015-01-21
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0019] The purpose of the embodiments of the present invention is to provide a surface error prediction and simulation method for end milling, which aims to solve the thermal stress caused by cutting heat, the r

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  • Method for predicting and simulating errors of end-milled surface
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  • Method for predicting and simulating errors of end-milled surface

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[0081] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0082] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0083] Such as figure 1 As shown, the method for predicting the surface error of end milling according to the embodiment of the present invention includes the following steps:

[0084] S101: Establishing a surface error model for end milling;

[0085] S102: After obtaining the machining error of a certain number of points on the machined surface, predicting the flatness error of the end milling surface based on the genetic algorithm;

[0086] In step S101: the...

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Abstract

The invention discloses a method for predicting and simulating errors of an end-milled surface. The method includes the steps that various influence factors causing the machining deformation errors in the end-milling cutting process are analyzed, and a machined-surface single-factor and multi-factor error vector model and an error accumulation vector relation model are built in cooperation with end-milling characteristics; by virtue of a calculation and simulated analysis method, based on a solving method for the machined-surface flatness errors, according to a least regional method, the flatness errors are calculated with a self-adaptation genetic algorithm based on real number encoding, verification is carried out through living example calculation, and contrastive analysis is carried out on the errors and errors of a traditional genetic algorithm. The method is simple and convenient to operate, and the problems that heat stress is caused by cutting heat, residual stress is caused by unloading and loading loads, strict quantitative or logical relationships do not exist between the heat stress and the residual stress, and great difficulty is brought to analysis of the machined surface errors are well solved.

Description

technical field [0001] The invention belongs to the technical field of end milling, in particular to a surface error prediction and simulation method for end milling. Background technique [0002] Among the many error sources, the machining deformation error caused by cutting force, cutting heat, clamping, stress, etc. is closely related to the cutting process, and its impact on machining accuracy is difficult to reduce by improving the structure or material of the machine tool. Therefore, research on the relationship between the above error sources and machining deformation error is one of the prerequisites for accurate prediction, control and improvement of machining accuracy. [0003] The processing objects of end milling are mainly large-sized planes on large and medium-sized parts such as boxes, racks, and bed bodies. The error of the machined surface caused by processing deformation is the main form of end milling processing errors. [0004] Cutting force is one of th...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 焦黎王西彬钱钰博孙厚芳解丽静
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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