contributor author | Hasser, Peter J. | |
contributor author | Malik, Arif S. | |
contributor author | Langer, Kristina | |
contributor author | Spradlin, Thomas J. | |
contributor author | Hatamleh, Mohammad I. | |
date accessioned | 2017-11-25T07:17:30Z | |
date available | 2017-11-25T07:17:30Z | |
date copyright | 2016/23/6 | |
date issued | 2016 | |
identifier issn | 1087-1357 | |
identifier other | manu_138_11_111001.pdf | |
identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4234613 | |
description abstract | A method is introduced for efficient reliability-based design of laser peening (LP) surface treatment to extend fatigue life of metal components. The method includes nonparametric probability density estimation, surrogate modeling using a new finite element (FE or FEA) approach, and reliability analysis with correlated random variables (RVs). Efficient LP simulation is achieved via a new technique termed single explicit analysis using time-dependent damping (SEATD), which reduces simulation times by a factor of 6. The example study of a three-point bend coupon reveals that fatigue life reliability significantly affects optimal LP design, as 52 laser spots are needed for 99% reliability versus 44 spots for 95%. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | An Efficient Reliability-Based Simulation Method for Optimum Laser Peening Treatment | |
type | Journal Paper | |
journal volume | 138 | |
journal issue | 11 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.4033604 | |
journal fristpage | 111001 | |
journal lastpage | 111001-14 | |
tree | Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 011 | |
contenttype | Fulltext | |