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Optimizing Plastic Extrusion Process via Grey Wolf Optimizer Algorithm and Regression Analysis
Journal of Scientific & Industrial Research ( IF 0.6 ) Pub Date : 2021-01-04
Aslan Deniz Karaoglan

One of the most widely used methods in the production of plastic products is the extrusion process. There are many factors that affect the product quality throughout the extrusion process. Examining the effects of these factors and determining the optimum process parameters which will provide the desired product characteristics; is important for reducing costs and increasing competitiveness. This study is performed in a manufacturer that produces plastic cups. The aim is to optimize extrusion process parameters of this company in order to achieve 1.15 mm thickness at the produced plastic sheets. For this reason, in order to be able to model the problem as an optimization problem through regression modelling, the thicknesses of the sheet generated with different process parameters were observed during the production processes. Then, considering the desired 1.15 mm sheet thickness, the established model is optimized by running the grey wolf optimizer (GWO) algorithm through the model.

中文翻译:

灰狼优化算法和回归分析优化塑料挤出工艺

塑料产品生产中使用最广泛的方法之一是挤压工艺。有许多因素会影响整个挤出过程中的产品质量。检查这些因素的影响并确定可提供所需产品特性的最佳工艺参数;对于降低成本和提高竞争力至关重要。这项研究是在生产塑料杯的制造商中进行的。目的是优化该公司的挤出工艺参数,以使生产的塑料片材的厚度达到1.15 mm。因此,为了能够通过回归建模将问题建模为最优化问题,在生产过程中观察了使用不同工艺参数生成的板材的厚度。然后,
更新日期:2021-01-04
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