A review on optimization of machining performances and recent developments in electro discharge machining B Nahak, A Gupta Manufacturing Review 6, 2, 2019 | 39 | 2019 |
Structural, electronic, elastic, vibrational and thermodynamic properties of antiperovskites Mg3NX (X= Ge, Sn): A DFT study D Behera, A Dixit, B Nahak, A Srivastava, S Dubey, R Sharma, AK Mishra, ... Physics Letters A 453, 128478, 2022 | 30 | 2022 |
Mechanical behaviour of SiC particulate reinforced Cu alloy based metal matrix composite S Kumar, A Yadav, V Patel, B Nahak, A Kumar Materials Today: Proceedings 41, 186-190, 2021 | 28 | 2021 |
Investigation of mechanical and tribological performance of marble dust 7075 aluminium alloy composites A Kumar, V Kumar, A Kumar, B Nahak, R Singh Materials Today: Proceedings 44, 4542-4547, 2021 | 23 | 2021 |
Theoretical insight on the electronic band structure, mechanical, vibrational and thermodynamic characteristic of antiperovskites RE3InN (RE= Y and La) D Behera, A Dixit, B Nahak, A Srivastava, R Sharma, R Khenata, ... Materials Today Communications 35, 105618, 2023 | 22 | 2023 |
Monitoring the microstructural changes of heat treated medium carbon steel by Barkhausen noise and hysteresis loop techniques SS Singh, AS Awale, A Chaudhari, B Nahak Materials Today: Proceedings 26, 1198-1202, 2020 | 15 | 2020 |
Material characterization using Barkhausen noise analysis technique—a review B Nahak Indian Journal of Science and Technology 10 (14), 1-10, 2017 | 13 | 2017 |
Assessment of plastic deformation upon grinding using X-ray diffraction profiles V Roy, B Nahak, MZK Yusufzai, M Vashista International Journal of Engineering Research 2 (2), 119-124, 2013 | 11 | 2013 |
Hybrid surface modification for improved tribological performance of IC engine components–a review G Murari, B Nahak, T Pratap Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …, 2023 | 9 | 2023 |
Surface integrity assessment upon electric discharge machining of die steel using non-destructive magnetic barkhausen noise technique B Nahak, A Srivastava, MZ Khan Yusufzai, M Vashista Transactions of the Indian Institute of Metals 73, 967-974, 2020 | 7 | 2020 |
Mechanical and water absorption properties of sisal composites: effect of charcoal particles loading B Nahak, MK Gupta, A Kumar Materials Today: Proceedings 18, 3766-3774, 2019 | 6 | 2019 |
Comparative study of copper and graphite electrodes performance in Electrical Discharge Machining (EDM) of die steel PK Sonker, B Nahak, TJ Singh Materials Today: Proceedings 68, 167-170, 2022 | 5 | 2022 |
Non-destructive monitoring of electro-discharge machined die steel B Nahak, A Srivastava Arabian Journal for Science and Engineering 47 (12), 15153-15160, 2022 | 3 | 2022 |
Thermal characteristics of sisal composites containing charcoal particles MK Gupta, A Bharti, B Nahak, N Choudhary, A Kumar Materials Today: Proceedings 18, 3174-3181, 2019 | 3 | 2019 |
A review on optimization of micro EDM machining performances B Nahak International Journal of Engineering Research 6 (5), 242-246, 2017 | 3 | 2017 |
Correlation between surface integrity of EDMed high carbon high chromium die steel with Barkhausen Noise parameters B Nahak, MZK Yusufzai, M Vashista Int. J. Appl. Eng. Res 12, 5709-5714, 2017 | 3 | 2017 |
Assessment the Surface Characteristics of Heat-Treated AISI 1040 Steel Using Magnetic Nondestructive Techniques SS Singh, AS Awale, B Nahak Russian Journal of Nondestructive Testing 58 (5), 369-380, 2022 | 1 | 2022 |
Development and modelling of hydro-formed circular sheet using neural networks B Nahak, T Bhardwaj, PS Chauhan International Journal of Engineering Research 3 (4), 230-234, 2014 | 1 | 2014 |
Assessing the Temperature-Dependent Characteristics of Warm-Rolled EN8 Steel through Magnetic Barkhausen Noise Technique and Predictive Modeling with Voting Regression Technique A Chaudhary, A Srivastava, B Nahak Journal of Materials Engineering and Performance, 1-10, 2024 | | 2024 |
Effects of nanoparticles on emission control of IC engine—a review G Murari, B Nahak, T Pratap Recent Advances in Material, Manufacturing, and Machine Learning, 516-524, 2024 | | 2024 |