Institution
Chandigarh University
Education•Mohali, India•
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.
Papers
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TL;DR: In this article, a semi-supervised approach that integrates deep learning, feature engineering, image transformation and processing techniques for obfuscated malware detection was proposed, which substantially outperformed the other approaches.
24 citations
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01 Mar 2021TL;DR: In this paper, an attempt has been made to provide overview of cutting fluids type, cooling techniques and main alternatives as dry machining, cryogenic cooling, minimum quantity lubrication and hybrid cooling minimizing use of cutting fluid.
Abstract: Cutting fluids provide cooling at the cutting tool and on the surface of work piece, lubricate the tool-workpiece interface and evacuate chips from the cutting zone in the machining processes. The primary reason for using cutting fluid is to reduce the temperature at cutting zone and friction wear either through cooling or lubrication. To maximize the efficiency of cutting fluids in machining processes the knowledge of machining conditions and cutting fluid types are critically important. However, misemploy of the cutting fluid and non efficient method of disposal can raise health issues and environmental impact. In this paper, an attempt has been made to provide overview of cutting fluids type, cooling techniques and main alternatives as dry machining, cryogenic cooling, minimum quantity lubrication and hybrid cooling minimizing use of cutting fluids. The inclusion of solid lubricants, nano fluids in lubrication/cooling techniques results in increase in the productivity of the process due to reduction in friction and heat at the cutting zone. The cutting parameters and type of tools utilized by various researchers have been summed up and introduced in this paper to provide useful information to various researcher works.
24 citations
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TL;DR: A Fuzzy Logic based feature engineering method that first identifies the fuzzy elements in the dataset and then generates fuzzy sets that are used by an Artificial Neural Network for classification of Botnet.
24 citations
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08 May 2019
24 citations
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TL;DR: In this article, the 3D printed scaffolding structures of polylactic acid (PLA)-hydroxyapatite (HAp)-chitosan (CS) were further joined by friction stir spot welding (FSSW) process for minor repairs (such as surface cracks).
Abstract: Thermoplastic composites of polylactic acid (PLA)-hydroxyapatite (HAp)-chitosan (CS) (in 91-8-1% weight proportion) is one of the acceptable composition/proportions for preparation of biomedical scaffolds (printed by fused deposition modeling (FDM)) in tissue engineering applications. But hitherto, little has been reported on the repair of PLA-HAp-CS based orthopedic scaffolds, especially in case of minor surface cracks observed post-surgery (maybe because of residual stresses/accident, etc.) from mechanical, thermal, in-vitro, in-vivo, and morphological analysis viewpoint. In this study, the 3D printed scaffolding structures of PLA-HAp-CS (3D printed on FDM) were further joined by friction stir spot welding (FSSW) process for minor repairs (such as surface cracks). The joints formed by the FSSW process were subjected to mechanical, thermal, cytotoxicity (by in-vitro, in-vivo analysis) and morphological analysis. The study results suggest that joints prepared using the consumable tool in FSSW have good mechanical, thermal stability, a good range of biocompatibility, and suitable tissue engineering applications. For FSSW of 3D printed scaffolding structures of PLA-HAp-CS, 1000 rpm tool rotational speed, 4 mm consumable plunge depth, and 40 s stirring time are the optimized set of process parameters. The results are also supported by scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) analysis.
24 citations
Authors
Showing all 1533 results
Name | H-index | Papers | Citations |
---|---|---|---|
Neeraj Kumar | 76 | 587 | 18575 |
Rupinder Singh | 42 | 458 | 7452 |
Vijay Kumar | 33 | 147 | 3811 |
Radha V. Jayaram | 32 | 114 | 3100 |
Suneel Kumar | 32 | 180 | 5358 |
Amanpreet Kaur | 32 | 367 | 5713 |
Vikas Sharma | 31 | 145 | 3720 |
Munish Kumar Gupta | 31 | 192 | 3462 |
Vijay Kumar | 30 | 113 | 2870 |
Shashi Kant | 29 | 160 | 2990 |
Sunpreet Singh | 29 | 153 | 2894 |
Gagangeet Singh Aujla | 28 | 109 | 2437 |
Deepak Kumar | 28 | 273 | 2957 |
Dilbag Singh | 27 | 77 | 1723 |
Tejinder Singh | 27 | 162 | 2931 |