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NR Raykar
NR Raykar
Sardar Patel College of Engineering
Verified email at spce.ac.in
Title
Cited by
Cited by
Year
Modelling of mode-I stable crack growth under hydrogen assisted stress corrosion cracking
NR Raykar, SK Maiti, RKS Raman
Engineering Fracture Mechanics 78 (18), 3153-3165, 2011
402011
Machine learning approach to predict fatigue crack growth
RG Kamble, NR Raykar, DN Jadhav
Materials Today: Proceedings 38, 2506-2511, 2021
322021
Study of hydrogen concentration dependent growth of external annular crack in round tensile specimen using cohesive zone model
NR Raykar, SK Maiti, RKS Raman, S Aryan
Engineering Fracture Mechanics 106, 49-66, 2013
322013
Investigation of hydrogen assisted cracking of a high strength steel using circumferentially notched tensile test
NR Raykar, RKS Raman, SK Maiti, L Choudhary
Materials Science and Engineering: A 547, 86-92, 2012
292012
Fabrication of meso sized structures through controlled viscous fingering in Lifting Plate Hele-Shaw Cell with holes and slots
B Kale, KS Bhole, N Raykar, C Sharma, P Deshmukh, S Oak
Advances in Materials and Processing Technologies 9 (4), 1560-1578, 2023
92023
Investigation of Reduction in Buckling Capacity of Cylindrical Shells Under External Pressure Due to Partially Cut Ring Stiffeners
RNR Chikode, Snehankush
Journal of Pressure Vessel Technology 139 (1), 7, 2016
9*2016
Development of flexible universal gripper for handling light weight parts of arbitrary shape
V Patil, T Narnaware, N Gangwani, NR Raykar
Materials Today: Proceedings 28, 2591-2598, 2020
82020
Mechanical modeling, numerical investigation and design of cantilever beam for low pull-in MEMS switch
PV Kasambe, KS Bhole, NR Raykar, AD Oza, R Ramesh, DV Bhoir
International Journal on Interactive Design and Manufacturing (IJIDeM), 1-10, 2022
72022
Anisotropic approach to control viscous fingering pattern generated in lifting plate Hele-Shaw cell
KS Bhole, BS Kale, S Mastud, N Raykar, C Sharma, P Deshmukh
International Design Engineering Technical Conferences and Computers and …, 2022
72022
Mathematical modeling and numerical simulation of novel cantilever beam designs for ohmic RF MEMS switch application
PV Kasambe, A Barwaniwala, B Sonawane, J Rana, N Raykar, DV Bhoir
2019 International Conference on Advances in Computing, Communication and …, 2019
72019
Analytical modeling and numerical investigation of a variable width piezoresistive multilayer polymer micro-cantilever air flow sensor
PV Kasambe, K S. Bhole, AA Bage, NR Raykar, DV Bhoir
Advances in Materials and Processing Technologies 8 (4), 4365-4383, 2022
62022
Influence of hydrostatic stress distribution on the modelling of hydrogen assisted stress corrosion crack growth
NR Raykar, SK Maiti, RKS Raman
Proceedings of 10th world congress on computational mechanics (WCCM2012 …, 2018
42018
Machine learning approach to predict viscous fingering in Hele-Shaw cells
AA Lendhe, N Raykar, BS Kale, KS Bhole
International Journal on Interactive Design and Manufacturing (IJIDeM), 1-57, 2023
32023
Investigating application of machine learning in identification of polygon shapes for recognition of mechanical engineering drawings
A Mane, R Adhikari, S Gadgil, N Raykar
2019 International Conference on Nascent Technologies in Engineering (ICNTE …, 2019
22019
Creep–fatigue damage evaluation of 2.25 Cr-1Mo steel in process reactor using ASME-NH code methodology
SR Dukare, NR Raykar
Proceedings of Fatigue, Durability and Fracture Mechanics, 267-281, 2018
22018
A cost-effective microcontroller based sensor for dual axis solar tracking
S Meshram, S Valvi, N Raykar
International Conference on Renewable Energies and Power Quality, 2014
22014
Modelling of hydrogen assisted stress corrosion cracking
N Raykar
Monash University, 2013
22013
A machine learning approach for investigation of the natural frequency of a nitinol-reinforced composite beam
SB Rane, RA Patil, NR Raykar, SB Kumbhar
Engineering Research Express 6 (1), 015003, 2023
12023
Comparative study of design methods for bolted flanges subjected to external loading
JM Ovalekar, NR Raykar, PM Mohan
Materials Today: Proceedings 28, 2599-2604, 2020
12020
Application of Machine Learning for Design-by-Analysis of Pressure Equipment
K Shah, R Chandnani, U Mavinkurve, N Raykar
2019 International Conference on Nascent Technologies in Engineering (ICNTE …, 2019
12019
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