Fatigue design of a cellular phone folder using regression model-based multi-objective optimization. Issue 8 (2nd August 2016)
- Record Type:
- Journal Article
- Title:
- Fatigue design of a cellular phone folder using regression model-based multi-objective optimization. Issue 8 (2nd August 2016)
- Main Title:
- Fatigue design of a cellular phone folder using regression model-based multi-objective optimization
- Authors:
- Kim, Young Gyun
Lee, Jongsoo - Abstract:
- 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.
- Is Part Of:
- Engineering optimization. Volume 48:Issue 8(2016)
- Journal:
- Engineering optimization
- Issue:
- Volume 48:Issue 8(2016)
- Issue Display:
- Volume 48, Issue 8 (2016)
- Year:
- 2016
- Volume:
- 48
- Issue:
- 8
- Issue Sort Value:
- 2016-0048-0008-0000
- Page Start:
- 1275
- Page End:
- 1295
- Publication Date:
- 2016-08-02
- Subjects:
- cellular phone folder front -- fatigue cycle -- thickness index -- regression models -- ensemble/AdaBoost -- multi-objective optimization
Engineering design -- Periodicals
Mathematical optimization -- Periodicals
620.0042 - Journal URLs:
- http://www.tandfonline.com/toc/geno20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/0305215X.2015.1099641 ↗
- Languages:
- English
- ISSNs:
- 0305-215X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3766.145000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 918.xml