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Method for detecting process quality using factor sieving

A factor and process technology, which is applied in the field of process quality inspection by factor screening, can solve the problems of inability to optimize the test and evaluation of the whole line, a large number of parameters, and small test volume, so as to maximize the use value of raw materials, scientific and accurate evaluation results, and improve technology. The effect of content

Inactive Publication Date: 2007-06-27
CHINA TOBACCO SHANDONG IND
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the current full-line online optimization test (i.e. full-line process quality evaluation) involves many procedures and parameters, resulting in a huge amount of tests, and cannot evaluate the full-line online optimization test (ie full-line process quality evaluation), providing A kind of single-process or multi-process quality evaluation by factor screening in the early stage, which provides the advantages of small test volume, small amount of data, and easy judgment and evaluation for the online optimization test of the whole line (that is, the quality evaluation of the whole line process). detection method

Method used

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  • Method for detecting process quality using factor sieving
  • Method for detecting process quality using factor sieving
  • Method for detecting process quality using factor sieving

Examples

Experimental program
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Effect test

Embodiment 1

[0028] Taking the factor screening test of loose moisture regain and sieving and feeding process as an example, the application of factor screening in process quality evaluation is introduced in detail.

[0029] First of all, choose a formula of three types of flue-cured tobacco leaves of a certain brand; WQ3116A loose moistening machine and SJ1525 feeding machine as the equipment for the process. RAYMX2C infrared thermometer, TM710 infrared moisture meter, and CJ201 leaf vibration sorting screen are used as process quality inspection instruments.

[0030] Then, take the 11 parameters of the two processes of loosening and moistening the tobacco sheets and moistening the leaves as 11 factors, select their average or standard values ​​as a level within the range of equipment capabilities, and select values ​​close to the upper limit or lower limit within the range of equipment capabilities As another level, use the principle of orthogonal test to design a set of 11 factors and 2...

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Abstract

At present, it is unable to carry out evaluating full line on-line optimization test (i.e. quality evaluation of full line working procedure) since various working procedures and parameters causes huge test quality. In earlier stage, using factor filtration to carry out quality evaluations of single working procedure or multiple working procedures, the disclosed method possesses advantages of small test quantity, and small data quantity, and easy of determination and evaluation. The method includes procedures: carrying out factor filtration test for single working procedure or multiple working procedures from theoretical research on test design and data analysis; using variance analysis to find out few key factors of playing decisive effect on test indexes; designing full line on-line optimization test based on the said few key factors.

Description

technical field [0001] The invention relates to a method for determining the main factors affecting the quality of a process, and in particular to a method based on this, which provides a new quality detection method for the online optimization test of the whole line (that is, the quality evaluation of the process of the whole line), that is, the process is carried out by factor screening. methods of quality testing. Background technique [0002] At present, when domestic cigarette companies evaluate the process quality, they usually use the test method of only changing the level of a certain factor and fixing the level of other factors. Finally, find the optimal experimental results of all factor levels. In fact, this kind of experiment has certain defects, and it is only suitable for the situation that there is no interaction between factors. It will cause the optimal factor level combination of a single process is not the optimal combination of the process, the optimal ...

Claims

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Application Information

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IPC IPC(8): G05B19/048
Inventor 赵国庆米强
Owner CHINA TOBACCO SHANDONG IND
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