关注
Dr. Sanket N Bhavsar
Dr. Sanket N Bhavsar
Jyoti CNC Automation Ltd
在 jyoti.co.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Experimental investigation of surface roughness and power consumption in turning operation of EN 31 alloy steel
HY Valera, SN Bhavsar
Procedia Technology 14, 528-534, 2014
932014
Experimental study on temperature measurement in turning operation of hardened steel (EN36)
M Gosai, SN Bhavsar
Procedia Technology 23, 311-318, 2016
592016
Artificial intelligence: Prospect in mechanical engineering field—a review
AR Patel, KK Ramaiya, CV Bhatia, HN Shah, SN Bhavsar
Data Science and Intelligent Applications: Proceedings of ICDSIA 2020, 267-282, 2021
542021
Investigating material removal rate and surface roughness using multi-objective optimization for focused ion beam (FIB) micro-milling of cemented carbide
SN Bhavsar, S Aravindan, PV Rao
Precision Engineering 40, 131-138, 2015
432015
A critical review on microtools fabrication by focused ion beam (FIB) technology
SN Bhavsar, S Aravindan, PV Rao
Proceedings of the World Congress on Engineering 2, 1-3, 2009
322009
Effect of tool nose radius and machining parameters on cutting force, cutting temperature and surface roughness–an experimental study of Ti-6Al-4V (ELI)
D Shah, S Bhavsar
Materials Today: Proceedings 22, 1977-1986, 2020
292020
Machinability study of cemented carbide using focused ion beam (FIB) milling
SN Bhavsar, S Aravindan, PV Rao
Materials and Manufacturing Processes 27 (10), 1029-1034, 2012
292012
Experimental investigation to optimize laser cutting process parameters for difficult to cut die alloy steel using response surface methodology
A Patel, SN Bhavsar
Materials Today: Proceedings 43, 28-35, 2021
172021
Experimental investigation of redeposition during focused ion beam milling of high speed steel
SN Bhavsar, S Aravindan, PV Rao
Precision engineering 36 (3), 408-413, 2012
142012
Image retrieval system using intuitive descriptors
KD Joshi, SN Bhavsar, RC Sanghvi
Procedia Technology 14, 535-542, 2014
132014
Machinability study of high speed steel for focused ion beam (FIB) milling process–An experimental investigation at micron/nano scale
SN Bhavsar, S Aravindan, PV Rao
Precision Engineering 38 (1), 168-173, 2014
122014
Experimental investigation during end milling of AISI D2 tool steel using AlCrN coated tool
RD Patel, SN Bhavsar
Materials Today: Proceedings 22, 2647-2656, 2020
112020
An experimental investigation of tool nose radius and machining parameters on TI-6AL-4V (ELI) using grey relational analysis, regression and ANN models
D Shah, S Bhavsar
International Journal of Data and Network Science 3 (3), 291-304, 2019
102019
Prediction of surface roughness in CNC milling machine by controlling machining parameters using ANN
RD Patel, NV Oza, SN Bhavsar
Int J Mech Eng Robot Res 3 (4), 353, 2014
92014
Optimization of machining parameters to minimize surface roughness during end milling of AISI D2 tool steel using genetic algorithm
RD Patel, SN Bhavsar
Advances in Materials and Manufacturing Engineering: Proceedings of ICAMME …, 2020
62020
Effect of redeposition—an important consideration in existing mathematical model of sputtering process in focused ion beam milling
SN Bhavsar, S Aravindan, PV Rao
10th IEEE International Conference on Nanotechnology, 768-770, 2010
42010
An accurate and efficient control over the present numerical model of depth of sputtering in focused ion beam milling
SN Bhavsar, S Aravindan, P Venkateswara Rao
Proceedings of the Institution of Mechanical Engineers, Part N: Journal of …, 2009
42009
Multi-response optimization of magnetic abrasive finishing process parameters on AISI H13 hot die steel using grey relational analysis
KP Modi, SN Bhavsar
Materials Today: Proceedings, 2023
32023
Experimental investigation on cutting force during end milling of AISI D2 tool steel using AlCrN coated tool
RD Patel, SN Bhavsar, AK Patel
Materials Today: Proceedings 80, 1397-1402, 2023
32023
Laser machining of die steel (En-31): an experimental investigation to study the effect of process parameters
AR Patel, SN Bhavsar
Advances in Materials and Processing Technologies 8 (1), 688-702, 2022
32022
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