A Finite Element Model for Temperature Prediction in Laser-Assisted Milling of AerMet100 Steel

Hao Hao Zeng; Rong Yan; Wei Wang; Peng Le Du; Tian Tian Hu; Fang Yu Peng

doi:10.4028/www.scientific.net/MSF.977.130

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HomeMaterials Science ForumMaterials Science Forum Vol. 977A Finite Element Model for Temperature Prediction...

A Finite Element Model for Temperature Prediction in Laser-Assisted Milling of AerMet100 Steel

Abstract:

Laser-assisted milling (LAM) represents an innovative process to enhance productivity in comparison with conventional milling. The workpiece temperature in LAM not only affects the cutting performance of materials, but also the machined surface quality of the part. This paper presents a 3D transient finite element (FE) model for workpiece temperature prediction in LAM. A moving Gaussian laser heat source model is implemented as a user-defined subroutine and linked to ABAQUS. The thermal model is validated by machining AerMet100 steel under different process parameters (laser power, spindle speed and feed per tooth). Good agreement between predicted and measured workpiece temperatures indicates that the FE model is feasible. In addition, the effects of laser spot size and incident angle on workpiece temperature are analyzed based on the proposed model. This work can be further applied to optimize process parameters for controlling the machined surface quality in LAM.

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Periodical:

Materials Science Forum (Volume 977)

Pages:

130-138

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.977.130

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Online since:

February 2020

Authors:

Hao Hao Zeng, Rong Yan*, Wei Wang, Peng Le Du, Tian Tian Hu, Fang Yu Peng

Keywords:

AerMet100 Steel, Finite Element Model, Laser-Assisted Milling, Workpiece Temperature

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