Citation

Tan, Jin Long (2020) Hardware Development of Latex Glove Protein Estimation System With Fuzzy Logic. Masters thesis, Multimedia University.

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Abstract

The latex used to manufacture medical gloves contains the protein that may cause latex allergy to some users. Therefore, the latex glove quality assurance (QA) process involves protein level estimation. The manual operation of the glove surfacebased protein binding (GSPB) method usually takes up to an hour to complete. As the demand for medical gloves in the health industry increases, the QA process for glove needs to be faster. Therefore, the Latex Glove Protein Estimation System with Fuzzy Logic (LGPES-Fuzzy) is developed to speed up the process. In this work, the LGPES-Fuzzy is designed based on the standard procedure of the GSPB method. This system consists of two parts: the latex glove sample cutting machine and binding machine. First, the sample cutting machine can retrieve eight (8) pieces of samples with a dimension of 20mm by 20mm from a latex glove at one operation. The moving mechanism controlled by using a Computer Numerical Control (CNC) mechanism and a parallel mounted double rotary cutter actuator are used to cut out the samples from a glove. The machine has 4 degrees of freedom with the x, y, z-axis, and actuator 360-degree rotation movement. On the other hand, the sample binding machine is developed to perform the binding process on the samples. The machine consists of three (3) subassemblies: sample operation platform, rotating nozzle holder, and waste solution draining mechanism. The operation platform consists of seven (7) Petri dishes for each sample. The rotating nozzle holder discharged Bradford reagent and distilled water for binding and washing processes, respectively, and the waste solution draining mechanism drains out the used solution. A fuzzy logic controller implemented to improve system performance. The LGPES-Fuzzy can complete the entire protein estimation test in 30 minutes. The implementation of fuzzy logic on cutting machines has improved the cutting efficiency by controlling the depth of the cutting actuator, which increases from 95.20% to 98.79% cutting completion. Moreover, the fuzzy logic on the binding machine also improved and ensured at least 14ml of solution drop fell into each Petri dish and fulfilled the requirement needed for the binding process. Thus, the LGPES-Fuzzy has higher system performance compared to the LGPES without fuzzy logic.

Item Type:	Thesis (Masters)
Additional Information:	Call No: QA9.64 .T36 2020
Uncontrolled Keywords:	Fuzzy logic
Subjects:	Q Science > QA Mathematics > QA1-43 General
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	22 May 2023 08:14
Last Modified:	22 May 2023 08:14
URII:	http://shdl.mmu.edu.my/id/eprint/11428

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