文章基本信息

标题：A Fuzzy Forecasting Logic for Glove Protein Sample Retrieving System
本地全文：下载
作者：Jin-Long Tan ; Kok-Swee Sim ; Boon-Chin Yeo 等
期刊名称：Engineering Letters
印刷版ISSN：1816-093X
电子版ISSN：1816-0948
出版年度：2020
卷号：28
期号：4
页码：1152-1160
语种：English
出版社：Newswood Ltd
摘要：This research paper discusses the design of a fuzzy logic controller to control the cutting efficiency of the latex glove sample retrieving system. The protein level estimation system used in glove manufacturer as quality assurance requires tedious procedures to retrieve samples from latex glove for sample preparation. Total of eight pieces of sample are cut from a latex glove with 20 mm by 20 mm dimension per piece. However, the protein sample extraction process usually is time-consuming and causing in the dropping of production efficiency rate. The fuzzy logic controller is a method that can make the decision with rule-based that is based on human knowledge. The fuzzy logic is developed for the latex glove sample retrieving system with glove weight and cutting deepness diagnosis. The applied fuzzy logic design can perform the deepness adjustment of cutting edge. The purpose of this research is to improve the efficiency of the cutting process with the implementation of fuzzy logic controller system. First improvement is the deepness control of the cutting actuator, which the performance has been increased from 95.20% to 98.79%. Second improvement is related to the sample size accuracy, which has been increased from 81.87 % to 90.99%.
关键词：Cutting Efficiency; Fuzzy Logic; Latex Glove; Protein Estimation; Quality Assurance; Sample Retrieving