Institution
Sir Padampat Singhania University
Education•Udaipur, India•
About: Sir Padampat Singhania University is a education organization based out in Udaipur, India. It is known for research contribution in the topics: Diesel fuel & Encryption. The organization has 124 authors who have published 228 publications receiving 2066 citations. The organization is also known as: SPSU.
Topics: Diesel fuel, Encryption, Ionization, The Internet, Computer science
Papers
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01 Jun 2019TL;DR: In this article, the authors proposed mathematical models, based on artificial neural network (ANN) with back-propagation algorithm, adaptive neuro-fuzzy inference system (ANFIS) and response surface methodology (RSM), for prediction of material removal rate (MRR) and surface roughness (SR) of helium-assisted electrical discharge machining of D3 die steel.
Abstract: This research work proposes mathematical models, based on artificial neural network (ANN) with back-propagation algorithm, adaptive neuro-fuzzy inference system (ANFIS) and response surface methodology (RSM), for prediction of material removal rate (MRR) and surface roughness (SR) of helium-assisted electrical discharge machining of D3 die steel. The helium gas-assisted die-sinking EDM with perforated electrode was carried out by an EDM machine. For the present experimental work, discharge current, pulse on time, duty cycle, electrode rotation and discharge gas pressure were selected as process factors, while MRR and SR were chosen as process responses. Analysis of variance (ANOVA) was done to examine the adequacy of the developed model. The fit summary confirmed that the quadratic model is statistically appropriate and the lack of fit is insignificant. Root mean square error and absolute standard deviation, obtained through RSM, were also used for developing the model and for its predicting abilities through ANN and ANFIS. The experimental and predicted values of MRR and SR during the process, obtained by RSM, ANN and ANFIS, were found to be in accord with each other. However, the ANFIS technique proved to be more fitting to the responses as compared to the ANN and the RSM. The optimum value of the MRR at 28.54 mg/min and the SR at 4.21 µm was obtained with optimal process parameters by optimization of developed statistical models using genetic algorithm.
14 citations
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TL;DR: Based on the environmental concerns related to the pollution caused by the vehicles and the demand for an alternative to the conventional lubricant resulted in the studies to be conducted which are... as discussed by the authors.
Abstract: Based on the environmental concerns related to the pollution caused by the vehicles and the demand for an alternative to the conventional lubricant resulted in the studies to be conducted which are...
14 citations
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TL;DR: With the growing rate of energy consumption around the world and increase in per capita consumption of the energy, both energy demand and energy security are major concerns for all the economies a... as mentioned in this paper.
Abstract: With the growing rate of energy consumption around the world and increase in per capita consumption of the energy, both energy demand, and energy security are major concerns for all the economies a...
14 citations
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TL;DR: In this paper, the performance and emissions of a diesel engine fuelled by biodiesel blends produced from polanga oil were evaluated and the engine was run to investigate the effects of injection pressure and t...
Abstract: To evaluate the performance and emissions of a diesel engine fuelled by biodiesel blends produced from polanga oil, the engine was run to investigate the effects of injection pressure and t...
13 citations
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TL;DR: In this article, the behavior of bituminous concrete mix and Warm Mix Asphalt (WMA) is compared and the test results are satisfying the minimum requirements as defined by MoRT&H specifications.
13 citations
Authors
Showing all 136 results
Name | H-index | Papers | Citations |
---|---|---|---|
Naveen Kumar | 21 | 187 | 2525 |
Anshita Gupta | 20 | 94 | 1126 |
Deepak Khazanchi | 19 | 109 | 1752 |
Yashvir Singh | 17 | 134 | 1036 |
Vinod Patidar | 17 | 60 | 2918 |
K.K. Sud | 16 | 32 | 2750 |
Sanjeev Kumar Raghuwanshi | 15 | 180 | 1118 |
Bibhas Chandra | 13 | 44 | 703 |
Ghanshyam Purohit | 10 | 51 | 610 |
Kamaljit I. Lakhtaria | 10 | 32 | 333 |
Kamal Kumar Agrawal | 9 | 13 | 209 |
Vineet Chouhan | 8 | 27 | 211 |
Shilpi Birla | 7 | 44 | 173 |
Shubham Goswami | 7 | 27 | 170 |
Pallavi Dwivedi | 7 | 9 | 271 |