scispace - formally typeset
J

Jyeshtharaj B. Joshi

Researcher at Institute of Chemical Technology

Publications -  602
Citations -  20424

Jyeshtharaj B. Joshi is an academic researcher from Institute of Chemical Technology. The author has contributed to research in topics: Turbulence & Bubble. The author has an hindex of 65, co-authored 577 publications receiving 17852 citations. Previous affiliations of Jyeshtharaj B. Joshi include Bhabha Atomic Research Centre & National Chemical Laboratory.

Papers
More filters
Journal ArticleDOI

Predictive analysis of gas holdup in bubble column using machine learning methods

TL;DR: In this article , a generalized machine learning-based data-driven methodology is presented to predict the gas hold-up, with the industrial-scale application for designing a bubble column, and the predictions by machine learning methods such as support vector regression (SVR), random forest (RF), extra trees (EXT), and artificial neural network (ANN).
Journal ArticleDOI

Image analysis based validation and kinetic parameter estimation of rice cooking

TL;DR: In this paper, the activation energies for cooking of un-soaked and presoaked rice were found to be ∼ 75 kJ/mol and ∼ 70 kJ /mol, respectively, which is in good agreement with the values reported in literature.
Journal ArticleDOI

Liquid-phase axial mixing in two-phase horizontal pipe flow

TL;DR: In this paper, the liquid-phase axial dispersion coefficient and volume-averaged fractional phase hold-ups have been measured in two-phase horizontal pipe flow using Radioactive 99m Tc (technetium-99 metastable) tracer.
Journal ArticleDOI

Conversion of refuse derived fuel from municipal solid waste into valuable chemicals using advanced thermo-chemical process

TL;DR: In this paper, a rotary kiln reactor was used for the thermo-chemical decomposition of Refuse Derived Fuel (RDF) from municipal solid waste pre-treatment plant in pyrolytic conditions.
Book ChapterDOI

Controlling the Flow Structure in Fluidized Bed: A CFD-DEM Approach

TL;DR: In this paper, a coupled Discrete Element Method and Computational Fluid Dynamics (CFD-DEM) was used to capture meso-scale flow features such as bubbles and slugs during gas-solid fluidization.