Notice Board :

Call for Paper
Vol. 3 Issue 12

Submission Start Date:
Dec 01, 2022

Acceptence Notification Start:
Dec 10, 2022

Submission End:
Dec 25, 2022

Final MenuScript Due:
Dec 31, 2022

Publication Date:
Dec 31, 2022
                         Notice Board: Call for PaperVol. 3 Issue 12      Submission Start Date: Dec 01, 2022      Acceptence Notification Start: Dec 10, 2022      Submission End: Dec 25, 2022      Final MenuScript Due: Dec 31, 2022      Publication Date: Dec 31, 2022




Volume III Issue IV

Author Name
Md Muzibur Rahaman, N. V. Saxena
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 4
Abstract
This work is concerned with a two-dimensional numerical study done to predict the influence of transverse rectangular cross-sectioned ribs on a solar air heater’s convective heat transfer properties. Solar air heater is a useful device that can be utilized to augment the temperature of air by extracting heat from solar energy. It is a rectangular duct consisting of an absorber plate on its top and heat falls only on the top of absorber plate. When ribs/baffles are introduced just beneath the absorber plate, there is a considerable alteration in the thermal performance of air flowing through the rectangular duct. A comparison was made between the results of thin (high aspect ratio) and square ribs arranged in three patterns, namely, single wall arrangement, staggered arrangement and in-line arrangement on two opposite walls. The Nusselt number variation with Reynolds number range 5000-24000 was checked at a fixed rib pitch (p) and height (e) values. Computational fluid dynamics (CFD) si
PaperID
2022/IJEASM/3/2022/1710

Author Name
Mrinal Raj, Chetan Agrawal, Pooja Meena
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 4
Abstract
We suggest in this work that with the assistance of imaging processing, plant disease detection systems can automatically detect the symptoms that occur on the leaves and stem of a plant, which in turn assists in the cultivation of healthy plants on a farm. These systems monitor the plant, including its leaves and stem, and if there is any variation noticed from the plant's characteristic attributes, that variation will be automatically identified and the user will also be informed of it. An analysis and evaluation of the disease detection technologies currently used in plant species has been presented here. The most recent advancement in the field of deep learning, known as the convolutional neural network (CNN), has significantly improved the accuracy of picture classification. This thesis is based on the pre-trained deep learning-based method for identifying plant illnesses. It was motivated by CNN's success in the picture classification field. The contribution of this work can be b
PaperID
2022/IJEASM/3/2022/1710a

Author Name
Mohammad Raghib Hassan, N. V. Saxena
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 4
Abstract
The work regards the heat transfer in the polymer composites of solid glass micro-spheres (SGS) or hollow glass micro-spheres (HGS) filled with polypropylene (PP). The net effective thermal conductivities (Keff) of the polymer composites of PP and SGS or PP and HGS are estimated by analytical integral approach and its result was compared with ANSYS model and existed theoretical models. It was observed that the effect of thermal insulation in hollow glass spheres filled polypropylene composites is more than the solid glass spheres filled polypropylene composites and the net effective thermal conductivity (Keff) is linearly decreases with increases of volume fraction (φf) of filler and then decreased somewhat with increasing filler diameter. It was found that the analytical model is very close to ANSYS model and existing analytical models. Furthermore, the net effective thermal conductivity (Keff) of the three dimensional (3D) ANSYS model is lesser than two dimensional (2D) ANSYS model i
PaperID
2022/IJEASM/3/2022/1711

Author Name
Samrendra Kumar, Manish Rai
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 4
Abstract
The advance use of power electronic devices introduces harmonics in the supply system which creates a problem in the quality of power delivered. Good Power Quality is very much important for our day to day use of appliances in both industrial and domestic sectors. Researchers have tried and implemented many useful technology for removing all the voltage and current related harmonic occurrence problems which in turn improves the quality of power delivered to the power system. The prime focus of this thesis is the implementation of control strategies like SRF theory and instantaneous power (p-q) for the operation of Unified Power Quality Conditioner (UPQC) which is one of the recent technology that includes both series and shunt active power filter operating at the same time and thereby improves all the current and voltage related problem like voltage sag/swell, flicker, etc. at the same time and helps in reduction of Total Harmonic Distortion (THD). In this work, it is shown via MATLAB
PaperID
2022/IJEASM/3/2022/1712