Hamid Garmestani

Prof. Dr. Hamid Garmestani


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 November 2003 in Advanced Materials
Verified
Journal Article
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PDF file
Hamid GarmestaniHamid Garmestani
Hamid Garmestani
Marwan Al-HaikMarwan Al-Haik
Marwan Al-Haik
KDK. Dahmen
K. Dahmen
RTR. Tannenbaum
R. Tannenbaum
DLD. Li
D. Li
MHM.Y. Hussaini
M.Y. Hussaini

8 March 2019 in Materials
Verified
Journal Article
Open access
PDF file
Jinqiang NingJinqiang Ning
Jinqiang Ning
DSDaniel Sievers
Daniel Sievers
Hamid GarmestaniHamid Garmestani
Hamid Garmestani
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang
Temperature distribution gradient in metal powder bed additive manufacturing (MPBAM) directly controls the mechanical properties and dimensional accuracy of the build part. Experimental approach and numerical modeling approach for temperature in MPBAM are limited by the restricted accessibility and high computational cost, respectively. Analytical models were reported with high computational efficiency, but the developed models employed a moving coordinate and semi-infinite medium assumption, which neglected the part dimensions, and thus reduced their usefulness in real applications. This paper investigates the in-process temperature in MPBAM through analytical modeling using a stationary coordinate with an origin at the part boundary (absolute coordinate). Analytical solutions are developed for temperature prediction of single-track scan and multi-track scans considering scanning strategy. Inconel 625 is chosen to test the proposed model. Laser power absorption is inversely identified with the prediction of molten pool dimensions. Latent heat is considered using the heat integration method. The molten pool evolution is investigated with respect to scanning time. The stabilized temperatures in the single-track scan and bidirectional scans are predicted under various process conditions. Close agreements are observed upon validation to the experimental values in the literature. Furthermore, a positive relationship between molten pool dimensions and powder packing porosity was observed through sensitivity analysis. With benefits of the absolute coordinate, and high computational efficiency, the presented model can predict the temperature for a dimensional part during MPBAM, which can be used to further investigate residual stress and distortion in real applications.

26 June 2019 in Materials
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Journal Article
Open access
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EMElham Mirkoohi
Elham Mirkoohi
DSDaniel Sievers
Daniel Sievers
Hamid GarmestaniHamid Garmestani
Hamid Garmestani
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang
Selective laser melting (SLM) is an emerging additive manufacturing (AM) technology for metals. Intricate three-dimensional parts can be generated from the powder bed by selectively melting the desired location of the powders. The process is repeated for each layer until the part is built. The necessary heat is provided by a laser. Temperature magnitude and history during SLM directly determine the molten pool dimensions, thermal stress, residual stress, balling effect, and dimensional accuracy. Laser-matter interaction is a crucial physical phenomenon in the SLM process. In this paper, five different heat source models are introduced to predict the three-dimensional temperature field analytically. These models are known as steady state moving point heat source, transient moving point heat source, semi-elliptical moving heat source, double elliptical moving heat source, and uniform moving heat source. The analytical temperature model for all of the heat source models is solved using three-dimensional differential equations of heat conduction with different approaches. The steady state and transient moving heat source are solved using a separation of variables approach. However, the rest of the models are solved by employing Green’s functions. Due to the high temperature in the presence of the laser, the temperature gradient is usually high which has a substantial impact on thermal material properties. Consequently, the temperature field is predicted by considering the temperature sensitivity thermal material properties. Moreover, due to the repeated heating and cooling, the part usually undergoes several melting and solidification cycles, and this physical phenomenon is considered by modifying the heat capacity using latent heat of melting. Furthermore, the multi-layer aspect of the metal AM process is considered by incorporating the temperature history from the previous layer since the interaction of the layers have an impact on heat transfer mechanisms. The proposed temperature field models based on different heat source approaches are validated using experimental measurement of melt pool geometry from independent experimentations. A detailed explanation of the comparison of models is also provided. Moreover, the effect of process parameters on the balling effect is also discussed.

1 August 2019 in Journal of Manufacturing Processes
Verified
Journal Article
Closed access
Jinqiang NingJinqiang Ning
Jinqiang Ning
EMElham Mirkoohi
Elham Mirkoohi
YDYuanzhe Dong
Yuanzhe Dong
ESElliott Sievers
Elliott Sievers
Hamid GarmestaniHamid Garmestani
Hamid Garmestani
Steven Yuehsan LiangSteven Yuehsan Liang
Steven Yuehsan Liang

1 January 2004 in Journal of Computer-Aided Materials Design
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Journal Article
Closed access
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GSG. Saheli
G. Saheli
Hamid GarmestaniHamid Garmestani
Hamid Garmestani
BAB. L. Adams
B. L. Adams

1 September 2019 in Journal of Manufacturing Processes
Verified
Journal Article
Closed access
EMElham Mirkoohi
Elham Mirkoohi
DSDaniel E. Sievers
Daniel E. Sievers
Hamid GarmestaniHamid Garmestani
Hamid Garmestani
KCKuoning Chiang
Kuoning Chiang
SLSteven Y. Liang
Steven Y. Liang