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Srinivasan Krishnaswamy

Researcher at University of Wyoming

Publications -  7
Citations -  322

Srinivasan Krishnaswamy is an academic researcher from University of Wyoming. The author has contributed to research in topics: Coal & Isothermal process. The author has an hindex of 3, co-authored 3 publications receiving 293 citations.

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Low-temperature oxidation of coal. 1. A single-particle reaction-diffusion model

TL;DR: In this paper, a kinetic model for low-temperature oxidation is developed, based on a single isothermal particle, which allows assessment of the relative importance of various mass transfer resistances.
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Low-temperature oxidation of coal. 3. Modelling spontaneous combustion in coal stockpiles

TL;DR: In this paper, a reaction-diffusion model for low-temperature oxidation of coal was developed and used to extract kinetic rate parameters for a Wyoming subbituminous coal.
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Low-temperature oxidation of coal. 2. An experimental and modelling investigation using a fixed-bed isothermal flow reactor

TL;DR: In this article, the results of an experimental and theoretical modelling investigation on the low-temperature oxidation of fresh, wet, low-rank coals are reported. But the results indicate that the model provides a satisfactory explanation for the dependence on particle size and temperature of the low temperature oxidation of dry and fresh wet coal.
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Crude Oil Foulant Deposition Studies on a Heated Surface Using a Novel Batch Stirred Coupon Test Rig

TL;DR: In this article , a coupon test rig was used to characterize fouling in a 2-liter batch autoclave system with a facility to immerse coupons attached to a rotating shaft into the stream during related test runs.
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Calorimetry based temperature and specific enthalpy measurements associated with ice-water phase change in saline systems for freeze desalination

TL;DR: In this paper , the phase change temperature and specific enthalpy values for salt water were found to decrease with an increase in salt concentration, and the experimental protocol adopted and data presented in this study can be used in design of an ice based Freeze Desalination (FD) process.