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contributor authorLiang Wang
contributor authorSergio D. Felicelli
contributor authorJames E. Craig
date accessioned2017-05-09T00:34:06Z
date available2017-05-09T00:34:06Z
date copyrightAugust, 2009
date issued2009
identifier issn1087-1357
identifier otherJMSEFK-28188#041019_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/141223
description abstractSeveral aspects of the thermal behavior of deposited stainless steel 410 (SS410) during the laser engineered net shaping (LENS™) process were investigated experimentally and numerically. Thermal images in the molten pool and surrounding area were recorded using a two-wavelength imaging pyrometer system, and analyzed using THERMAVIZ ™ software to obtain the temperature distribution. The molten pool size, temperature gradient, and cooling rate were obtained from the recorded history of temperature profiles. The dynamic shape of the molten pool, including the pool size in both travel direction and depth direction was investigated, and the effect of different process parameters was illustrated. The thermal experiments were performed in a LENS™ 850 machine with a 3 kW IPG Photonics laser for different process parameters. A three-dimensional finite element model was developed to calculate the temperature distribution in the LENS™ process as a function of time and process parameters. The modeling results showed good agreement with the experimental data.
publisherThe American Society of Mechanical Engineers (ASME)
titleExperimental and Numerical Study of the LENS Rapid Fabrication Process
typeJournal Paper
journal volume131
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.3173952
journal fristpage41019
identifier eissn1528-8935
keywordsWavelength
keywordsLasers
keywordsLenses (Optics)
keywordsManufacturing
keywordsModeling
keywordsTemperature
keywordsTravel
keywordsPyrometers
keywordsCooling
keywordsTemperature distribution
keywordsTemperature profiles
keywordsImaging
keywordsTemperature gradients AND Finite element model
treeJournal of Manufacturing Science and Engineering:;2009:;volume( 131 ):;issue: 004
contenttypeFulltext


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