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Nipun Arora

Researcher at Indian Institute of Technology, Jodhpur

Publications -  12
Citations -  114

Nipun Arora is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Lattice Boltzmann methods & Interpolation. The author has an hindex of 5, co-authored 12 publications receiving 80 citations. Previous affiliations of Nipun Arora include Technion – Israel Institute of Technology & Indian Institute of Technology Delhi.

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Lift-drag and flow structures associated with the "clap and fling" motion

TL;DR: In this paper, the influence of kinematic parameters such as the percentage overlap between translational and rotational phase ξ, the separation between two wings δ and Reynolds numbers Re on the evolvement of lift and drag has been investigated.
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Analysis of passive flexion in propelling a plunging plate using a torsion spring model

TL;DR: In this paper, a fluid-structure interaction (FSI) framework based on a generalized lumped-torsional flexibility model was used to simulate a flapping wing.
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Flow patterns and efficiency-power characteristics of a self-propelled, heaving rigid flat plate

TL;DR: In this paper, a numerical model using a shifting discontinuous-grid and based upon multi-relaxation-time lattice Boltzmann method is developed to characterize the flow patterns, propulsion efficiency and power requirements associated with a self-propelled-heaving thin flat plate in a quiescent medium.
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Holographic Declarative Memory: Distributional semantics as the architecture of memory

TL;DR: Holographic Declarative Memory (HDM), is a vector-space model based on distributional semantics that provides a flexible, scalable alternative to symbolic cognitive architectures at a level of description that bridges symbolic, quantum, and neural models of cognition.
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A shifting discontinuous-grid-block lattice Boltzmann method for moving boundary simulations

TL;DR: In this paper, a translating discontinuous-grid-block model for moving boundaries of finite thickness based on multi-relaxation time version of lattice Boltzmann method has been developed.