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A machining error prediction and control method for mesoscale parts

A technology for mesoscale parts and machining errors, which is applied in the field of modeling and prediction of multi-station manufacturing errors of mesoscale parts based on scale effects, can solve the problems of small rigidity of tools and workpieces, affecting machining accuracy, etc.

Active Publication Date: 2017-02-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, due to the small size of the part, the rigidity of the tool and the workpiece is small, and the rigidity of the workpiece changes dynamically with the cutting, which will inevitably affect the final machining accuracy

Method used

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  • A machining error prediction and control method for mesoscale parts
  • A machining error prediction and control method for mesoscale parts
  • A machining error prediction and control method for mesoscale parts

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Embodiment 1

[0034] A method for predicting errors in multi-station manufacturing of mesoscopic scale parts based on the scale effect proposed in this embodiment, specifically includes the following steps:

[0035] Step 1. Carry out feature analysis for the mesoscale parts to be predicted, extract the processing accuracy requirements of the processing features, and determine the key part feature KPC according to the processing accuracy requirements.

[0036] Mainly carry out the storage, processing and analysis of historical data including mesoscopic cutting characteristics, equipment status information and workpiece quality information. The cutting data is obtained through basic experiments, and the relevant data of equipment and workpieces are obtained through historical databases and sensor networks during processing. , through this module, the key part characteristics (Key PartCharacteristics, KPC) and key control characteristics (Key Control Characteristics, KCC) can be analyzed to pro...

Embodiment 2

[0092] The specific embodiment of the present invention is described in detail below in conjunction with accompanying drawing:

[0093] The material of a certain block part is 310S stainless steel, and the workpiece is processed in two steps: first, surface C is used as the main positioning reference, and surface A is milled; then, surface A is used as the main positioning reference, and groove 1 and groove 2 are milled. Use a carbide end mill with a diameter of 2mm for milling of groove 1 and groove 2, the spindle speed n=8000r / min, the feed per tooth f z = 0.004 mm / z. See Table 1 for specific procedures and requirements.

[0094] Table 1 Workpiece processing procedures

[0095]

[0096] The analysis of the manufacturing system and process shows that the main factors affecting the manufacturing accuracy of parts in process 1 are fixture manufacturing error, reference error and tool deformation error, and the surface S1 and S2 in the processing characteristics of process ...

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Abstract

The invention discloses a mesoscale part machining error prediction and control method. The method comprises the following steps that firstly, characteristic analysis is carried out on a mesoscale part to be predicted, the machining precision requirement for machining features is extracted, and a key part characteristic (KPC) is determined according to the machining precision requirement; then, tool information, machine tool information, clamping information and cutting parameter information in each procedure of the multistation machining and manufacturing process of machining the mesoscale part to be predicted are obtained; the tool deformation (see the formula in the specification) and workpiece deformation (see the formula in the specification) caused by the action of milling force in the kth procedure are calculated, and a tool deformation error (see the formula in the specification) and a workpiece deformation error (see the formula in the specification) are obtained; according to the multistation machining and manufacturing process of machining the mesoscale part to be predicted, a dynamic procedure stream error propagation state space model is built and is linearized, the error prediction result q(k) of the KPC of the kth procedure is obtained, and the machining process is controlled through the result.

Description

technical field [0001] A method for diagnosing machining errors of mesoscopic scale parts and controlling the machining accuracy belongs to the field of precision manufacturing, and specifically relates to a modeling and prediction method for multi-station manufacturing errors of mesoscopic scale parts based on scale effects. Background technique [0002] Mesoscale parts are small in size, have many geometric features, and require high precision. They need to go through multiple processes to complete the machining. Therefore, there are many error sources in the machining process, and the machining accuracy is difficult to guarantee. At present, the modeling diagnosis and control methods for error transmission in multi-process processing include state-space modeling method, Group EWMA method, dynamic process quality control mode and e-quality control mode, etc., but they are all modeling at the macro scale. There are few methods for predicting and controlling machining errors...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/18
CPCG05B19/18
Inventor 焦黎王西彬余璐云谭方浩高守峰刘志兵梁志强解丽静
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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