Latex Glove Samples Cutting System with Fuzzy Controller


Tan, Jin Long and Sim, Kok Swee and Wong, Eng Kiong and Ow, Yee Hong (2021) Latex Glove Samples Cutting System with Fuzzy Controller. Engineering Letters, 29 (3). pp. 1-11. ISSN 2193-567X

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Latex glove usage has increased significantly in the medical field since it provides protection for both the patient and the medical professional. However, the latex contains numerous types of protein which can cause allergic skin reaction to its user. Therefore protein concentration test is needed to determine the biocompatibility of latex gloves. Normally, samples are cut from a latex glove for the test. In this paper, we describe the fuzzy controller design of the glove sample cutting system. In this work, the glove is cut into seven square samples of dimension 2 cm by 2 cm each. A 4-axis computer numerical control (CNC) cutting machine is designed and constructed for this purpose. The challenge is that latex gloves in the market come with different thicknesses and sizes. Therefore, a fuzzy controller for latex glove (FCLG) is applied to determine the most optimal cutting parameters for the cutting process to overcome the challenge of different thicknesses and sizes. The cutting template is one of the lead factors that affect the sample cutting result. Three types of cutting templates are used to examine the most suitable material for the cutting process. The FCLG is implemented using a general-purpose microcontroller. Results showed that FCLG has significantly improved the cutting process and the outcome of the samples. Several cutting tests are performed to ensure that the samples are detached completely with accurate sizes. The latex glove samples cutting system with the fuzzy logic controller has improved the cutting success rate from 42.86% to 82.54%. The accuracy has improved from 59.75% to 82.98%.

Item Type: Article
Uncontrolled Keywords: Fuzzy systems, Cutting system, fuzzy controller, glove industry, latex glove
Subjects: Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 03 Oct 2021 14:22
Last Modified: 03 Oct 2021 14:22


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