Statistical modeling of the squeak noise occurrence of natural rubber

Byunghyun Kang, Byoung Ho Choi, Cheol Choi, Dae Un Sung

Research output: Contribution to conferencePaperpeer-review

Abstract

In this study, the occurrence of the squeak noise according to various material / environmental factors of natural rubber was found through friction test using custom built friction tester. Material factors such as rubber hardness, surface roughness and additive content, and environmental factors such as heat aging, temperature, surface moisture, friction speed and frictional load are considered. And the hypothesis test was conducted to determine whether there was a significant correlation between each factor and the occurrence of squeak noise. Afterwards, logistic regression analysis and neural network analysis, which considers the interactions among these factors, were performed using the statistically significant factors in the occurrence of squeak noise obtained by the hypothesis test, and a probability model of the occurrence of the squeak noise was developed. And we compared the occurrence of the squeak noise predicted by the two models with the actual occurrence of the squeak noise, and the result shows 88.15% and 87.16% of accuracy, respectively. We also verify the accuracy of two models by using receiver operating characteristic curve (ROC curve), which illustrates the diagnostic ability of a model.

Original languageEnglish
Publication statusPublished - 2019
Event77th Annual Technical Conference of the Society of Plastics Engineers, ANTEC 2019 - Detroit, United States
Duration: 2019 Mar 182019 Mar 21

Conference

Conference77th Annual Technical Conference of the Society of Plastics Engineers, ANTEC 2019
Country/TerritoryUnited States
CityDetroit
Period19/3/1819/3/21

Bibliographical note

Publisher Copyright:
© 2019 Society of Plastics Engineers. All rights reserved.

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Polymers and Plastics

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