The Effect of Injection Parameter on Acrylonitrile Butadiene Styrene (ABS) Products Using Fuzzy Logic System

Aisa, Neilinda Novita and Nasution, Henry and Sofyan, Edi (2021) The Effect of Injection Parameter on Acrylonitrile Butadiene Styrene (ABS) Products Using Fuzzy Logic System. Masters thesis, Swiss German University.

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Abstract

This research presents the effect of injection parameter on acrylonitrile butadiene styrene (ABS) LG Chem HI 100 products using fuzzy logic system. In this study, 2 types of fuzzy, Mamdani FIS and Sugeno ANFIS were used. By combining these 2 types of fuzzy, the error system value of 0.387 was obtained. The tuning process was carried out by matching the results of the fuzzy output and the injection results of 305 products with an accuracy of 94%. In addition, a regression analysis was also carried out on the injection parameters as the input variables. From the results of the regression analysis, it was found that the most influential parameters were the injection pressure with a value of 15.6%, resulting the smallest error value of 0.373 for this case.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Mamdani FIS, Sugeno ANFIS, Regression, Injection Parameter, ABS Material
Subjects: Q Science > QA Mathematics > QA9.64 Fuzzy logic
T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Faisal Ifzaldi
Date Deposited: 20 Aug 2021 03:44
Last Modified: 20 Aug 2021 03:44
URI: http://repository.sgu.ac.id/id/eprint/2196

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