D
Dinakar Sagapuram
Researcher at Texas A&M University
Publications - 44
Citations - 574
Dinakar Sagapuram is an academic researcher from Texas A&M University. The author has contributed to research in topics: Deformation (meteorology) & Shear (geology). The author has an hindex of 11, co-authored 41 publications receiving 436 citations. Previous affiliations of Dinakar Sagapuram include Purdue University.
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Recrystallization and grain growth induced by ELMs-like transient heat loads in deformed tungsten samples
TL;DR: Tungsten has been chosen as the main candidate for plasma facing components (PFCs) due to its superior properties under extreme operating conditions in future nuclear fusion reactors such as ITER, and careful determination of the threshold parameters for surface recrystallization, grain growth rate, and thermal shock fatigue resistance under ELM-like transient heat events is focused on.
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Controlling texture in magnesium alloy sheet by shear-based deformation processing
TL;DR: In this paper, the deformation underlying sheet formation is shown to be simple shear that is confined to a narrow zone, which limits the need for pre-heating of the workpiece to realize continuous sheet forms.
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Geometric flow control of shear bands by suppression of viscous sliding.
Dinakar Sagapuram,Koushik Viswanathan,Anirban Mahato,Narayan K. Sundaram,Rachid M'Saoubi,Kevin P. Trumble,Srinivasan Chandrasekar +6 more
TL;DR: This work uses high-speed imaging and micro-marker analysis of flow in cutting to reveal the common fundamental mechanism underlying shear banding in metals and demonstrates a material-agnostic method—passive geometric flow control—that effects complete band suppression in systems which otherwise fail via shear bands.
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Deformation field in large-strain extrusion machining and implications for deformation processing
Yang Guo,Mert Efe,Wilfredo Moscoso,Wilfredo Moscoso,Dinakar Sagapuram,Kevin P. Trumble,Srinivasan Chandrasekar +6 more
TL;DR: In this paper, the deformation field in large-strain extrusion machining, a constrained chip formation process, is characterized using high-speed imaging and particle image velocimetry.
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A stochastic crystal plasticity framework for deformation of micro-scale polycrystalline materials
Hesam Askari,Michael R. Maughan,Niaz Abdolrahim,Niaz Abdolrahim,Dinakar Sagapuram,David F. Bahr,Hussein M. Zbib +6 more
TL;DR: In this article, a stochastic crystal plasticity model combining a Monte Carlo method with a polycrystal continuum dislocation dynamics model in a self-consistent viscoplasticity framework is proposed.