Citation

Qi, Xuen Pang and Kai, Jie Low and Kai, Liang Lew and Yit, Hong Choo and Babale, Suleiman Aliyu and Yunus, Andi Prademon and Chia, Shyan Lee A Review on Mechanical Fuzzy Logic Control Cutters for Latex Glove. International Journal on Robotics, Automation and Sciences, 6 (2). ISSN 2682-860X

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Abstract

Latex gloves are widely used in various industries, such as healthcare, laboratories, and manufacturing. Especially in the healthcare industry, it provides protection for doctors and nurses so that they will not get infected by viruses. The latex gloves contain some types of proteins that will trigger the allergic reactions of people with latex allergies. Therefore, before the latex gloves are sold on the market, protein concentration tests need to be done. In order to do the protein concentration tests, 2 cm by 2 cm samples of the latex gloves are needed. A cutter machine is needed in order to increase efficiency, save time, and also precisely cut. The samples can be obtained by cutting or stamping the latex gloves. In this paper, research in the literature that attempted to identify the mechanical cutters for latex gloves is reviewed. Furthermore, considering the ambiguity and variability in glove materials and cutting requirements, this paper explores the integration of fuzzy logic into cutter selection processes to accommodate uncertain criteria and optimize cutter performance in diverse operating conditions.

Item Type:	Article
Uncontrolled Keywords:	Mechanical Cutter, Fuzzy Logic, Protein Concentration Test, Efficient Cutting, Precise Cutting
Subjects:	T Technology > TJ Mechanical Engineering and Machinery
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	11 Jul 2025 03:58
Last Modified:	11 Jul 2025 03:58
URII:	http://shdl.mmu.edu.my/id/eprint/14275

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