Shantanu Shahane
University of Illinois at Urbana–Champaign
28 Papers
17 Citations
Shantanu Shahane is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 5, co-authored 19 publications.
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Papers
A High-order Accurate Meshless Method for Solution of Incompressible Fluid Flow Problems
TL;DR: This research extends the PHS-RBF method for the solution of incompressible Navier-Stokes equations and demonstrates fast convergence both with refinement of number of points and degree of appended polynomials.
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Optimization of Solidification in Die Casting using Numerical Simulations and Machine Learning
TL;DR: In this article, a multilayer perceptron feed-forward neural network is used to obtain the initial and wall temperatures so as to optimize the product quality and an innovative local sensitivity based approach is then used to rank the final Pareto optimal solutions and select a single best design.
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Development of a Thermo-Physical Model for Multi-spark Wire EDM Process☆
Shantanu Shahane,S. S. Pande +1 more
TL;DR: In this paper, a transient thermo-physical finite element model (FEM) of wire electrical discharge machining (wire EDM) process was developed to compute the temperature distribution in the workpiece and the material removal rate (MRR) therefrom.
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Wettability-defined frosting dynamics between plane fins in quiescent air
Kazi Fazle Rabbi,Kalyan Boyina,Wei Su,Soumyadip Sett,Anand Thamban,Shantanu Shahane,Sophie Wang,Nenad Miljkovic +7 more
TL;DR: In this article, an experimental investigation using high-resolution optical imaging of frost growth between two parallel vertical plain aluminum fin as a function of surface wettability (hydrophilic, super-hydrophilic, super hydrophobic, superhydrophobic), fin surface temperature, fin spacing (2 to 8mm), and relative humidity (≈ 50 and 70%).
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Modeling of crystallization fouling on a horizontal-tube falling-film evaporator for thermal desalination
TL;DR: In this paper, a model is developed to predict the crystallization fouling process during seawater falling-film flow over a horizontal tube bundle, and the scaling is estimated based on deposition theory, with couple heat transfer including the in-tube steam condensation, conduction through the tube wall and the scale layer.
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