Tensile strength prediction of polyethylene terephthalate bottle ropes using neuro-fuzzy

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

Publication Date

3-12-2019

Abstract

With the huge amounts of plastic bottles being consumed and disposed daily, people have been using different techniques to recycle. One way is to convert them into strings that will be made into plastic ropes. This paper aims to predict the tensile strength of polyethylene terephthalate (PET) bottle ropes using neuro-fuzzy approach given the following inputs: average thickness of strand, strand width, and the number of strands used. Actual data parameters from a previous research, applying design of experiment (DOE), will be utilized as the training and testing data of the network. Moreover, a comparison between the outputs of the neuro-fuzzy model and the statistical model will be shown. The generated fuzzy rules will be analyzed at certain conditions and compared with the optimization results of previous research. Results showed that although the network has very low training errors, testing errors were higher than acceptable values. © 2018 IEEE.

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Digitial Object Identifier (DOI)

10.1109/HNICEM.2018.8666286

Disciplines

Manufacturing

Keywords

Polyethylene terephthalate--Testing; Strains and stresses

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