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Nripen Mondal
Nripen Mondal
Jalpaiguri govt. Engg. college
Verified email at me.jgec.ac.in
Title
Cited by
Cited by
Year
FPA based optimization of drilling burr using regression analysis and ANN model
N Mondal, S Mandal, MC Mandal
Measurement 152, 107327, 2020
572020
Observation of drilling burr and finding out the condition for minimum burr formation
N Mondal, BS Sardar, RN Halder, S Das
International Journal of Manufacturing Engineering 2014, 2014
322014
Optimum design of mounting components of a mass property measurement system
N Mondal, S Acharyya, R Saha, D Sanyal, K Majumdar
Measurement 78, 309-321, 2016
252016
Experimental Study to Minimize The Burr Formation in Drilling Process With Artifical Neural Networks (ANN) Analysis
B Dey, N Mondal, S Mondal
IOP Conference series: Materials science and Engineering 377, 012120, 2018
92018
Designing aerostatic bearing with counterbalancing gaps for lifting a heavy payload
N Mondal, R Saha, D Sanyal
Journal of Tribology 136 (3), 031701, 2014
72014
A comparative study of poor achievement in physics at the higher secondary level with respect to secondary level in Birbhum District
B Sen, N Mondal, B Saha
International Journal of Scientific Research 2 (4), 66-67, 2012
72012
Comparative study on EDM process parameters optimization using BBO and ACO algorithms
N Mondal, MC Mandal, S Das, T Banerjee
Materials Today: Proceedings 62, 6601-6605, 2022
62022
ANN and RSM based predictive model development and EDM process parameters optimization on AISI 304 stainless steel
N Mondal, S Ghosh, MC Mandal, S Pati, S Banik
Materials Today: Proceedings, 2023
52023
Genetic algorithm-based drilling burr minimization using adaptive neuro-fuzzy inference system and support vector regression
N Mondal, MC Mandal, B Dey, S Das
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2020
52020
ANN-FPA Based Modelling and Optimization of Drilling Burrs Using RSM and GA
N Mondal, S Mandal, MC Mandal, S Das, B Haldar
Global Congress on Manufacturing and Management, 180-195, 2021
42021
High-Thrust Aerostatic Bearing Design Through Transient Perturbation Modeling With Numerical Validation
N Mondal, BK Saha, R Saha, D Sanyal
Journal of Dynamic Systems, Measurement, and Control 140 (4), 041012, 2018
42018
Estimation of Drilling Burr Formation with Artificial Neural Network Analysis
D Misra, S Das, N Mondal, PP Saha
Indian Science Cruiser, 23-31, 2020
22020
Modeling and performance analysis of aerostatic bearings for lifting heavy payload
N Mondal, R Saha, D Sanyal
Procedia Engineering 90, 123-128, 2014
22014
Optimization of Cutting parameters of AISI 1018 Low Carbon Mild steel in turning using green cutting fluid by Taguchi Method
S Ghosh, MC Mandal, K Das, N Mondal, A Ray
J. Mech. Eng 1 (1), 62-67, 2022
12022
Experimental study on drilling burr formation minimization and parameters optimization using BBO algorithm
N Mondal, S Das, T Banerjee, MC Mandal
Materials Today: Proceedings 56, 2586-2590, 2022
12022
A Comparative CFD Study to Analyze the Performance of NACA 0018 and S1210 Darrieus Wind Turbine Blade
S Das, T Banerjee, N Mondal
Conference on Fluid Mechanics and Fluid Power, 279-284, 2021
12021
Numerical Analysis of Micro-Scale Diffusion Flame Structure Using Methane Gas as Fuel
T Banerjee, N Mondal
Advances in Thermal Engineering, Manufacturing, and Production Management …, 2021
12021
ANFIS-TLBO-based optimization of drilling parameters to minimize burr formation in aluminum 6061
N Mondal, S Banik, S Paul, S Sarkar, S Mandal, S Ghosh
Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-17, 2024
2024
Optimization of turning process parameters on EN8 unalloyed steel-based on MCDM methods
S Bag, S Banik, N Mondal, MC Mandal
Materials Today: Proceedings, 2023
2023
General characteristics and laboratory findings of patients admitted to medicine department of a tertiary care hospital with electrolyte imbalance
MM Hossain, NM Mondal, MM Khan, MQ Hasan
Medico Research Chronicles 9 (5), 283-291, 2022
2022
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