Dr. Nilesh Bhatt
Total Experience : 6 years
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2020 Book
Authors: Dr. Nilesh Bhatt, N M Bhatt & J R Mehta
2022 International Journal
Solar thermal dryers are solar-operated gadgets utilized to dehumidify various products, especially food items and rubber sheets. This article provides detailed design, parametric studies, and an in-depth review of mixed-mode solar dryers (MMSD) with a case study of fish drying near coastal lines. Due to several advantages compared to open sun drying and prominent performance index compared to indirect and direct type solar dryers, mixed-mode solar dryers have large adaptability on the field. Moreover, mixed-mode solar thermal dryers with different augmentations are reviewed, for instance, mixed-mode solar dryers with evacuated tube collectors, phase change materials, ultraviolet rays stabilized housing, and dehumidifiers. The case study of fish drying near the coastal line of Gujarat, India has been carried out to study the present scenario of the drying activities. Hence, the objective of this review is to identify the capable mixed-mode solar dryer with heat recovery systems. Substantial reviews within the article suggest an essential need to implement the hybrid mixed-mode solar dryer cum distiller technology for small-scale enterprises that can simultaneously provide potable water near coastal lines along with drying of fishes from the solar dryer. Furthermore, future research demands such hybrid mixed-mode solar drying systems that strongly fulfill the requirements of local communities near coastal lines involved in fish drying activities.
Authors: Dr. Nilesh Bhatt, Pranav Mehta, Nilesh Bhatt, Gurmitsingh Bassan, Abd Elnaby Kabeel
Journal: Environmental Science and Pollution Research
2020 International Journal
Authors: Dr. Nilesh Bhatt, Kuldip Dodiya, Nilesh Bhatt & Feng Lai
Journal: International Journal of Ambient Energy
2020 International Journal
Authors: Dr. Nilesh Bhatt, Charula Patel, Nilesh Bhatt, Srinivas Palanki
Journal: Catalysis in Industry
2021 International Journal
Numerical investigation has been carried out to study the effect of thermal boundary condition on turbulent melt flow and oxygen transfer inside a crucible used to grow 450 mm diameter silicon single crystal using Czochralski method. Two types of thermal boundary conditions, namely, isothermal crucible surface and experimentally measured temperatures on the crucible surface have been imposed on the crucible wall and crucible bottom. Melt motion owing to buoyancy, surface tension variation at the free melt surface as well as crystal and crucible rotation has been considered. Effect of CUSP magnetic field has also been investigated. Melt having aspect ratio of 1 and 0.5, representing high and moderate level of melt inside the crucible have been considered. K-epsilon turbulent model with low Reynolds number formulation has been used for turbulence modelling. Melt motion governed by natural convection, Marangoni convection and crystal as well as crucible rotation shows higher oxygen concentration at melt crystal interface for aspect ratio of 1, when experimental temperature profile is imposed at the crucible wall. For melt aspect ratio of 0.5, natural convection and Marangoni convection dependent melt show higher oxygen concentration for isothermal crucible wall boundary condition. Marangoni convection in absence of rotation of crystal and crucible leads to low oxygen concentration zone near the crystal outer surface, the size of which is larger for melt aspect ratio of 0.5. Maximum turbulent viscosity values for aspect ratio of 1, in case of experimental temperature at the crucible are higher compared to isothermal case, which is just the opposite of the trend for aspect ratio of 0.5. Imposing a CUSP magnetic field leads to similar distribution of turbulent viscosity for both types of thermal boundary conditions, irrespective of the type of thermal boundary condition. Oxygen concentration at the melt crystal interface is found to be higher in presence of CUSP magnetic field. Value of maximum turbulent viscosity for the two boundary condition are similar for melt aspect ratio of 1.0. Crucible surface temperature profile for aspect ratio of 1, on actual melt aspect ratio of 0.5 predicts lower oxygen concentration at melt crystal interface. Values and distribution of turbulent viscosity is however the same for both temperature profiles.
Authors: Dr. Nilesh Bhatt, Mitesh S Vegad, Nilesh Bhatt
Journal: Silicon
2020 International Journal
Authors: Dr. Nilesh Bhatt, Chetan Vora, Virang Oza, Nilesh Bhatt
Journal: Journal of Critical Review
2018 International Journal
Artificial neural networks (ANNs) have been successfully applied to problems in different fields including medicine, management, and manufacturing. One major disadvantage of ANNs is that there is no systematic approach for model design. Most literature suggests a trial-and-error method for parameter setting which requires more time. The accuracy of the ANN model greatly depends on the network parameter settings including the number of neurons, momentum, learning rate, transfer function, and training algorithm. In this paper, we apply Taguchi’s design of experiments approach to determine the optimum set of parameters for an ANN trained using feed forward back-propagation. We present a case study of an equivalent stress prediction model for an automobile chassis to demonstrate the implementation of the approach. After training the network, the optimum values of the ANN parameters are determined according to the performance statistics. The performance of the ANN is superior using the Taguchi method to optimize the parameters compared with random parameter values.
Authors: Dr. Nilesh Bhatt, Tushar M Patel, Nilesh M Bhatt,Automotive Innovation
Journal: Automotive Innovation
2018 International Journal
Authors: Dr. Nilesh Bhatt, Virang H Oza, Nilesh M Bhatt
Journal: International Journal of Mechanics and Solids
