Dilip K. Banerjee

Dr. Dilip K. Banerjee

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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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20 August 2022 in International Journal of Mechanical Sciences
Verified
Journal Article
Closed access
EMElizabeth M. Mamros
Elizabeth M. Mamros
SMSarah M. Mayer
Sarah M. Mayer
DBDilip K. Banerjee
Dilip K. Banerjee
MIMark A. Iadicola
Mark A. Iadicola
BKBrad Kinsey
Brad Kinsey
JHJinjin Ha
Jinjin Ha

31 October 2023 in Additive Manufacturing
Verified
Journal Article
Closed access
SGSupriyo Ghosh
Supriyo Ghosh
JZJulien Zollinger
Julien Zollinger
Miha ZaloznikMiha Zaloznik
Miha Zaloznik
DBDilip K. Banerjee
Dilip K. Banerjee
CNChristopher K. Newman
Christopher K. Newman
RARaymundo Arroyave
Raymundo Arroyave

1 June 2021 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
AVAnand Varma
Anand Varma
AGAditya Gokhale
Aditya Gokhale
HKHariharan Krishnaswamy
Hariharan Krishnaswamy
DBDilip K. Banerjee
Dilip K. Banerjee
JJJayant Jain
Jayant Jain

4 January 2023 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
KPKali Prasad
Kali Prasad
DKDeepak Kumar
Deepak Kumar
HKHariharan Krishnaswamy
Hariharan Krishnaswamy
DBDilip K. Banerjee
Dilip K. Banerjee

1 January 2021 in Journal of Research of the National Institute of Standards and Technology
Verified
Journal Article
Open access
DBDilip K. Banerjee
Dilip K. Banerjee
MIMark A. Iadicola
Mark A. Iadicola
ACAdam A. Creuziger
Adam A. Creuziger
Uniaxial tensile tests are routinely conducted to obtain stress-strain data for forming applications. It is important to understand the deformation behavior of test specimens at plastic strains, temperatures, and strain rates typically encountered in metal forming processes. In this study, the Johnson-Cook (J-C) flow stress model was used to describe the constitutive behavior of ASTM International (ASTM) A 1008 steel specimens during uniaxial tensile tests at three different average strain rates (10(-5)s(-)(1), 10(-3) s(-1), and 10(-1) s(-1)). The digital image correlation (DIC) technique was used for displacement and strain measurement, and two-dimensional (2D) infrared (IR) imaging was employed for temperature measurement. Separate optimization studies involving relevant finite element (FE) modeling with appropriate measured data yielded optimum values of convective heat transfer coefficients, J-C parameters, and inelastic heat fraction variables. FE modeling employing these optimum parameter values was then used to study the mechanical behavior. While FE predictions matched measured strain localization and thermal field very well in the intermediate- and low-rate experiments, the high-rate test showed narrower strain localization and a sharper temperature peak in the experiment. Possible use of a higher steel thermal conductivity value and/or exclusion of material inhomogeneities may have resulted in discrepancies between computed and measured temperature and strain fields. The study shows that an optimized set of parameters obtained with a controlled test could be reasonably applied for other tests conducted at very different strain rates.

22 October 2021 in Journal of Research of the National Institute of Standards and Technology
Verified
Journal Article
Closed access
DBDilip K. Banerjee
Dilip K. Banerjee
Structural design for fire is conceptually similar to structural design conducted under ambient temperature conditions. Such design requires an establishment of clear objectives and determination of the severity of the design fire. In the commonly used prescriptive design method for fire, fire resistance (expressed in hours) is the primary qualification metric. This is an artifact of the standard fire tests that are used to determine this quantity. When conducting a performance-based approach for structural design for fire, it is important to determine structural member temperatures accurately when the members are exposed to a real fire. In order to evaluate the fire resistance of structural members such as structural steels and concrete, both the temporal and spatial variation of temperatures must be accurately determined. The transient temperature profiles in structural members during exposure to a fire can be determined from a heat transfer analysis. There are several models/approaches for analyzing heat transfer that have been used to determine the transient structural temperatures during a fire event. These range from simple models to advanced models involving three-dimensional heat transfer analysis employing finite element or finite difference techniques. This document provides a brief summary of some of the common simple and advanced approaches that have been used for conducting heat transfer analysis of both steel and concrete members when exposed to fire.