Response Surface Optimization of Production Mix of selected Raw Materials for Plastic Production

Chukwulozie, Okolie and Segun, Oluwadare and Lekwuwa, Chukwuneke and Chinagorom, Nwadike (2016) Response Surface Optimization of Production Mix of selected Raw Materials for Plastic Production. British Journal of Applied Science & Technology, 16 (5). pp. 1-13. ISSN 22310843

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Abstract

Practically, it is not viable to obtain the optimization of production mixture of the raw material for high recital and quality which is subject to numerous performance controls by trial and error through the normal process can be a extremely tricky task and time intense. This leads to the development of statistical experiment design and analysis particularly for the purpose of optimizing mixes, like the plastic products, in which the final product properties does not depend on their absolute quantities but on the virtual proportions of the mechanism. Mixture methods have been of little application in the plastic industry even though they have been used to inflate products like gasoline, metal alloys, foods and detergents in industries. An examination in which a statistical mixture design tool called response surface design optimization tool was explained in this work where it is used to optimize the six mixture components of 32 mm plastic pressure pipe, in order to achieve the best mixture ratio and their corresponding product yield. The results also showed an optimal mixture ratio of stabilizer (0.0001), PVC (14010.43), Carbonate (377.520), Titanium (1.4337), Steric acid (2265.110), and pigment (1.4337) for 32 mm pressure pipe. The optimal yield and composite desirability for the 32 mm pressure pipe are 79960 kg and 0.99951 respectively. The result showed an increase in profitability of the final products by reducing the wastage of raw materials. The proposed model is recommended to the case company for effective utilization of their various raw material mixtures so as to realize their various production yields and optimal solution of their raw material mixture.

Item Type: Article
Subjects: Open Library Press > Multidisciplinary
Depositing User: Unnamed user with email support@openlibrarypress.com
Date Deposited: 12 Jun 2023 04:52
Last Modified: 12 Jun 2023 04:52
URI: https://openlibrarypress.com/id/eprint/1484

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