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Machining error statistical analysis device

A statistical analysis and machining technology, applied in computing, manufacturing computing systems, instruments, etc., can solve the problems of large part size data, many calculation formulas, and heavy measurement workload.

Pending Publication Date: 2019-11-01
QINGDAO AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Problems with this method: there are many parts size data, heavy measurement workload, many and complex calculation formulas, manual data processing is prone to errors, difficult to draw curves, and large human errors

Method used

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  • Machining error statistical analysis device
  • Machining error statistical analysis device
  • Machining error statistical analysis device

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Embodiment Construction

[0029] The present invention will be described in detail below in combination with specific embodiments.

[0030] The machining error statistical analysis method of the present invention is as figure 1 shown, including the following steps:

[0031] 1. Sample size measurement

[0032] Select the sample capacity n (usually n=50-200 pieces); use high-precision digital calipers to measure the size of the first position of the sample part, and use the measuring platform and V-shaped block to measure the displacement fixed on the beam of the measuring platform The sensor is zeroed; the beam and longitudinal beam of the measuring platform can be adjusted in the horizontal and vertical directions according to the measurement requirements. The size error of the position), the original size of the first position, that is, the reading of the high-precision digital caliper plus the sum of the displayed data value of the displacement sensor.

[0033] 2. Analog input module

[0034] The...

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Abstract

The invention discloses a machining error statistical analysis device. The device selects sample capacity, adopts a displacement sensor and a high-precision digital caliper to measure the original sizes of all samples, and develops a data processing system through an analog quantity input module and software to realize data acquisition, processing and drawing of a distribution diagram. The devicejudges the machining error property, determines the process capability and the grade thereof, estimates he qualified rate and the unqualified rate, and draws a point diagram. Upper and lower control boundary lines and two limit dimension lines in the point diagram can be used as reference boundaries for controlling unqualified products. Finally, related items are printed through a printer. The device has the beneficial effects of accurate data measurement, high calculation result precision and high curve drawing speed. The statistical analysis efficiency of the machining error can be greatly improved. The intelligent test of the statistical analysis of the machining error is realized.

Description

technical field [0001] The invention belongs to the technical field of mechanical processing intelligent testing, and relates to a statistical analysis device for mechanical processing errors. Background technique [0002] The statistical analysis method of processing errors is based on the data of a batch of workpiece inspections, and uses the principle of mathematical statistics to analyze and process, find out the type, size and law of errors, and thus find the main reason for the generation of waste products, and propose solutions. It is also possible to further monitor the changes in precision during processing, so that measures can be taken in time to prevent the generation of waste products. The commonly used statistical analysis methods for machining errors mainly include distribution diagram and dot diagram method. The traditional statistical data method is: select the sample size, use the dial indicator to measure the original size of the sample parts, draw the di...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04
CPCG06Q10/0639G06Q10/06395G06Q50/04Y02P90/30
Inventor 王继伟王东伟王家胜杨然兵徐树生张惠莉潘志国何晓宁胡彩旗董红旭赵斌刘砚庆马强强于江涛
Owner QINGDAO AGRI UNIV
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