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Continuous Improvement of Yarn Quality in Spinning Mills
Hemida W., Elgeiheini A., Elhawary I., Alexandria University, Alexandria, Egypt
Abstract
The main responsibility of any modern quality control system is to improve the status of the organization in which it is responsible. This will enable the organization to go further in the business and maintain a greater portion of the market. The improvement can be made through an institution, pilot plan or on the production line of the factory, without disturbing both quality and productivity. The quality of yarns depends to a great extent on fiber type and machines settings, while labor performance and environmental conditions had lesser effect. Improving the quality by amelioration of labor performance and environmental conditions is performed by training and new installations and not by on line researches. The fiber type is usually chosen depending on the yarn count and selling price; most researches are performed essentially on machines settings. Previous researches indicate that the amount of draft has the greater impact on the yarn quality. Introducing the greater number of factors for improving the yarn quality can tend to optimum quality improvement. To attain such a condition the Constrained Experimental Design was applied. Previous researches focused on studying factors affecting the quality and yarn specifications with not more than five factors.
In this research the factors affecting the quality of yarns in the spinning mill was studied, in order to reach the best operating conditions using the dependent and interdependent factors experimental design. Drafts are considered as dependent factors while settings, speeds, and twist as independent factors. Thirty six trials for twelve factors were studied at normal operating conditions, to obtain carded yarns of 19.67 Tex. Quality better than 5% Uster level was achieved.
Key Words: Improvement, Yarn Quality, Constrained Experimental Design, Regression analysis.