Boots – shoes – and leggings
Patent
1996-06-27
1998-09-29
Ruggiero, Joseph
Boots, shoes, and leggings
36447405, 36446816, 264 401, 425135, 425162, G06F 1900
Patent
active
058153977
DESCRIPTION:
BRIEF SUMMARY
DESCRIPTION
1. Technical Field
The present invention relates to a method of analyzing factors affecting the quality of products molded by an injection molding machine and to a method of adjusting molding conditions by utilizing the analyzing method.
2. Background Art
It has been customary to detect various data relating to an injection molding operation, such as data in every molding cycle of an injection molding machine including injection time and measuring time, data of a peripheral equipment including resin drying temperature and data of room temperature, to use such data for discriminating the quality of products and as criteria for optimizing the molding conditions.
For a reliable discrimination of the product quality, it is necessary to select the conditions most affecting the product quality from the various data relating to the injection molding operation for comparing data of the selected conditions with data under which conforming products have been obtained.
However, in the conventional product quality analysis, selection of data appropriate for discriminating the product quality has been dependent solely on experience of an operator, and therefore the reliability of the selection is not always guaranteed.
In order to select the molding conditions most closely relating to the product quality, it is necessary to detect the data of several tens or more conditions including the injection time and the measuring time for every molding cycle and graphically displaying those data for respective kinds, and to confirm the relation between the variation of the various conditions and occurrence of nonconforming products as a preliminary operation, and then select the data appropriate for the product conformity. However such selection includes the operator's subjective point of view and thus such data is not always adequate for a proper discrimination. In addition, since several tens or more conditions have to be considered as data for the product conformity, it would take a considerable time only for the preparatory operation before selecting appropriate conditions.
In general, selecting plural kinds of data as material for the discrimination rather than a single kind of data would be considered to improve the accuracy of the discrimination of the product conformity. However, if two kinds of data having similar characteristics are selected, the discriminating accuracy is not always improved. For example, in a case where variation of one data is dependent on variation of another data, detecting either of the data would suffice. For a stricter discrimination, it is necessary to select data of the other conditions which are independent of these two data and affecting the product quality.
However, since various conditions relating to the injection molding operation vary in complex correlation, it is extremely difficult to select plural kinds of data useful for the discrimination as long as analysis is made by individually referring to variation of data of the various conditions, especially when the operator's experience is inadequate.
As is apparent from the foregoing points of view, in the conventional discrimination of the product quality, only the relation between the product quality and the individual variation of the data of each condition is considered in order to select the data for the discrimination of the product conformity, and hence the effects of the relations among various conditions on the product quality are not adequately considered. Therefore, it is difficult to properly select the data useful for the discrimination of the product conformity and the result of the discrimination has less reliability.
Furthermore, according to the conventional method, the problems similar to those described above would be caused in adjusting the molding conditions when a molding abnormality is detected. The molding abnormality is detected as an abnormality in variation of data of individual conditions. As a matter of course, in order to eliminate the abnormality once occurred, it is necessary to adjust some o
REFERENCES:
patent: 5301120 (1994-04-01), Magario
patent: 5350546 (1994-09-01), Takeuchi et al.
patent: 5350547 (1994-09-01), Yamaguchi et al.
patent: 5442562 (1995-08-01), Hopkins et al.
patent: 5550744 (1996-08-01), Steinbichler
Patent Abstracts of Japan, vol. 011, No. 197 (p-589), 25 Jun. 1987 of JP 62 020008 A (Toshiba Corp), 28 Jan. 1987.
Patent Abstracts of Japan, vol. 009, No. 079 (p-347), 9 Apr. 1985 of JP 59 211103 A (Nippon Seikosho KK), 29 Nov. 1984.
Patent Abstracts of Japan, vol. 010, No. 333 (M-534), 12 Nov. 1986 of JP 61 137662 A (Toshiba Mach Co Ltd; Others:01), 25 Jun. 1986.
Araki Kenji
Saito Osamu
Watanabe Hiroshi
Fanuc Ltd.
Ruggiero Joseph
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