Fatigue design of a cellular phone folder using regression model-based multi-objective optimization

Young Gyun Kim, Jongsoo Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In a folding cellular phone, the folding device is repeatedly opened and closed by the user, which eventually results in fatigue damage, particularly to the front of the folder. Hence, it is important to improve the safety and endurance of the folder while also reducing its weight. This article presents an optimal design for the folder front that maximizes its fatigue endurance while minimizing its thickness. Design data for analysis and optimization were obtained experimentally using a test jig. Multi-objective optimization was carried out using a nonlinear regression model. Three regression methods were employed: back-propagation neural networks, logistic regression and support vector machines. The AdaBoost ensemble technique was also used to improve the approximation. Two-objective Pareto-optimal solutions were identified using the non-dominated sorting genetic algorithm (NSGA-II). Finally, a numerically optimized solution was validated against experimental product data, in terms of both fatigue endurance and thickness index.

Original languageEnglish
Pages (from-to)1275-1295
Number of pages21
JournalEngineering Optimization
Volume48
Issue number8
DOIs
Publication statusPublished - 2016 Aug 2

Fingerprint

Multiobjective optimization
Folding
Multi-objective Optimization
Fatigue
Regression Model
Durability
Fatigue of materials
Model-based
Nonlinear Regression Model
Fatigue Damage
NSGA-II
Pareto Optimal Solution
Sorting algorithm
AdaBoost
Back-propagation Neural Network
Logistic Regression
Jigs
Support Vector Machine
Adaptive boosting
Ensemble

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

Cite this

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abstract = "In a folding cellular phone, the folding device is repeatedly opened and closed by the user, which eventually results in fatigue damage, particularly to the front of the folder. Hence, it is important to improve the safety and endurance of the folder while also reducing its weight. This article presents an optimal design for the folder front that maximizes its fatigue endurance while minimizing its thickness. Design data for analysis and optimization were obtained experimentally using a test jig. Multi-objective optimization was carried out using a nonlinear regression model. Three regression methods were employed: back-propagation neural networks, logistic regression and support vector machines. The AdaBoost ensemble technique was also used to improve the approximation. Two-objective Pareto-optimal solutions were identified using the non-dominated sorting genetic algorithm (NSGA-II). Finally, a numerically optimized solution was validated against experimental product data, in terms of both fatigue endurance and thickness index.",
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Fatigue design of a cellular phone folder using regression model-based multi-objective optimization. / Kim, Young Gyun; Lee, Jongsoo.

In: Engineering Optimization, Vol. 48, No. 8, 02.08.2016, p. 1275-1295.

Research output: Contribution to journalArticle

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