Amitava De

Prof. Dr. Amitava De

Mechanical Engineering, Indian Institute of Technology, Bombay, Mumbai, India
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

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

Representative Publications

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1 March 2018 in Progress in Materials Science
Verified
Journal Article
Closed access
TDTarasankar Debroy
Tarasankar Debroy
HWH.L. Wei
H.L. Wei
JZJ.S. Zuback
J.S. Zuback
Tuhin MukherjeeTuhin Mukherjee
Tuhin Mukherjee
JEJ.W. Elmer
J.W. Elmer
WZW. Zhang
W. Zhang

22 January 2016 in Scientific Reports
Verified
Journal Article
Open access
Tuhin MukherjeeTuhin Mukherjee
Tuhin Mukherjee
JZJ. S. Zuback
J. S. Zuback
Amitava DeAmitava De
Amitava De
TDTarasankar Debroy
Tarasankar Debroy
Although additive manufacturing (AM), or three dimensional (3D) printing, provides significant advantages over existing manufacturing techniques, metallic parts produced by AM are susceptible to distortion, lack of fusion defects and compositional changes. Here we show that the printability, or the ability of an alloy to avoid these defects, can be examined by developing and testing appropriate theories. A theoretical scaling analysis is used to test vulnerability of various alloys to thermal distortion. A theoretical kinetic model is used to examine predisposition of different alloys to AM induced compositional changes. A well-tested numerical heat transfer and fluid flow model is used to compare susceptibilities of various alloys to lack of fusion defects. These results are tested and validated with independent experimental data. The findings presented in this paper are aimed at achieving distortion free, compositionally sound and well bonded metallic parts.

1 February 2021 in Progress in Materials Science
Verified
Journal Article
Open access
HWH.L. Wei
H.L. Wei
TMT. Mukherjee
T. Mukherjee
WZW. Zhang
W. Zhang
JZJ.S. Zuback
J.S. Zuback
GKGerald Laurence Knapp
Gerald Laurence Knapp
TDTarasankar Debroy
Tarasankar Debroy

1 August 2017 in Acta Materialia
Verified
Journal Article
Closed access
GKGerald Laurence Knapp
Gerald Laurence Knapp
Tuhin MukherjeeTuhin Mukherjee
Tuhin Mukherjee
JZJ.S. Zuback
J.S. Zuback
HWH.L. Wei
H.L. Wei
TPT.A. Palmer
T.A. Palmer
TDTarasankar Debroy
Tarasankar Debroy

28 September 2014 in Journal of Applied Physics
Verified
Journal Article
Closed access
PDF file
VMV. Manvatkar
V. Manvatkar
Amitava DeAmitava De
Amitava De
TDTarasankar Debroy
Tarasankar Debroy
A three-dimensional, transient, heat transfer, and fluid flow model is developed for the laser assisted multilayer additive manufacturing process with coaxially fed austenitic stainless steel powder. Heat transfer between the laser beam and the powder particles is considered both during their flight between the nozzle and the growth surface and after they deposit on the surface. The geometry of the build layer obtained from independent experiments is compared with that obtained from the model. The spatial variation of melt geometry, cooling rate, and peak temperatures is examined in various layers. The computed cooling rates and solidification parameters are used to estimate the cell spacings and hardness in various layers of the structure. Good agreement is achieved between the computed geometry, cell spacings, and hardness with the corresponding independent experimental results.

1 June 2015 in Materials Science and Technology
Verified
Journal Article
Closed access
VMV. Manvatkar
V. Manvatkar
Amitava DeAmitava De
Amitava De
TDTarasankar Debroy
Tarasankar Debroy
A three-dimensional heat transfer and material flow model is developed to numerically simulate the temperature and velocity fields in a laser assisted layer by layer deposition process with coaxially fed powder particles. The computed results are tested with independently reported temperature and build geometry for the deposition of multilayered structures of austenitic stainless steel. The results provide detailed insight about the important physical processes and show that the model can be used to understand the effects of process parameters on the thermal cycles, build geometry, cooling rates and solidification parameters in a multilayer additive manufacturing process.