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首页> 外文期刊>Current Journal of Applied Science and Technology >Response Surface Optimization of Production Mix ofselected Raw Materials for Plastic Production
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Response Surface Optimization of Production Mix ofselected Raw Materials for Plastic Production

机译:精选塑料生产原料的生产面响应面优化

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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.
机译:实际上,要获得高演奏和高质量的原料的生产混合物的优化是不可行的,而通过正常的过程通过反复试验来进行许多性能控制,这可能是一项非常棘手的任务,并且需要大量时间。这导致了统计实验设计和分析的发展,特别是为了优化混合物(如塑料产品)的目的,其中最终产品的性能不取决于其绝对数量,而取决于机理的虚拟比例。混合方法在塑料工业中几乎没有应用,即使它们已用于在工业中为汽油,金属合金,食品和清洁剂等产品充气。在这项工作中,解释了一种检验,其中使用了统计混合物设计工具(称为响应面设计优化工具),该工具用于优化32 mm塑料压力管的六个混合物组成部分,以实现最佳混合比及其相应的产品产量。结果还显示了32 mm压力管的稳定剂(0.0001),PVC(14010.43),碳酸盐(377.520),钛(1.4337),硬脂酸(2265.110)和颜料(1.4337)的最佳混合比例。 32 mm压力管的最佳产量和复合合意性分别为79960 kg和0.99951。结果表明,通过减少原材料浪费,最终产品的利润率得以提高。将该模型推荐给案例公司,以有效利用其各种原料混合物,从而实现其各种产量和原料混合物的最佳解决方案。

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