Pawan Kumar
University of Johannesburg
19 Papers
7 Citations
Pawan Kumar is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Strain rate & Annealing (metallurgy). The author has an hindex of 2, co-authored 19 publications. Previous affiliations of Pawan Kumar include Indian Institute of Engineering Science and Technology, Shibpur & Madanapalle Institute of Technology and Science.
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Papers
Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit
TL;DR: In this article, a low budget alternative solution for intelligent grading and sorting of apple fruit employing the deep learning-based approach was proposed. But the results show that the sorting image recognition system can successfully sort apples according to the perimeter characteristics.
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Pre-feasibility analysis and performance assessment of solar photovoltaic (PV) modules for the application of renewable power generation
TL;DR: In this article, a comparative analysis of three different types of 1 kWp PV technologies, polycrystalline silicon, monocrystalline and thin-film amorphous silicon in terms of monthly average PV power output is presented.
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Optimum performance evaluation during machining of Al6061/cenosphere AMCs using TOPSIS and VIKOR based multi-criteria approach:
Abhijit Dey,Mrinal Shrivastav,Pawan Kumar +2 more
- 03 Aug 2021
TL;DR: In this paper, the optimal processing condition is an issue associated with multi-criteria decision making (MCDM) which can be influenced by several conflicting processing variables, and the present study hav...
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Viability analysis of direct current (DC) standalone hybrid photovoltaic (PV)/ hydrogen fuel cell (HFC) energy system: A techno-economic approach
TL;DR: In this article, the feasibility analysis of a direct current (DC) based standalone hybrid PV/HFC energy system with hydrogen storage was carried out and the optimal size of the energy system was obtained by using 80kW PV, 20kW fuel cell, 50kW electrolyzer and 20kG hydrogen tank.
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Prediction of the Propagation of Fatigue Cracks in Part-Through Cracked Pipes with CASCA and FRANC2D
TL;DR: In this paper, a TP316L stainless steel pipe subjected to four-point bend testing was examined to predict the propagation of fatigue cracks in a part-through cracked pipe using the CASCA and FRANC2D programs.
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