Evaluation and improvement of promising rubber recycling OT machine using fractional factorial and response surface design. Issue 2 (3rd April 2019)

• Record Type: Journal Article
• Authors: Elemary, Berihan R.
• Is Part Of: Communication in statistics. Volume 5:Issue 2(2019)
• Page Start: 121
• Page End: 137
• Publication Date: 2019-04-03
• Subjects: Experimental design -- factional factorial design -- response surface optimizer -- central composite design; Mathematical statistics -- Data processing -- Periodicals; 519.505
• DOI: 10.1080/23737484.2019.1603091
• Languages: English
• ISSNs: 2373-7484

Abstract

Abstract: A design of experiment (DOE) is used in many industrial sectors in the development and optimization of manufacturing processes. DOE is a more effective way to determine the impact of two or more factors on a response. In this paper, a Two-Level Fractional Factorial design was employed to develop the important factors that significantly affect new promising OT Rubber recycling machine using a DOEs analysis. Central composite design (CCD) and response surface methodology (RSM) were used to optimize the isolating screen size. The CCD considered five factors with two-level full factorial design. CCD experiments using RSM was proved to be an optimal tool for optimization.