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Dr.M.Subramanian
Dr.M.Subramanian
Professor, SNS College of Technology, Mechanical Engineering
Verifisert e-postadresse på snsct.org
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Optimization of end mill tool geometry parameters for Al7075-T6 machining operations based on vibration amplitude by response surface methodology
M Subramanian, M Sakthivel, K Sooryaprakash, R Sudhakaran
Measurement 46 (10), 4005-4022, 2013
1102013
Optimization of cutting parameters for cutting force in shoulder milling of Al7075-T6 using response surface methodology and genetic algorithm
M Subramanian, M Sakthivel, K Sooryaprakash, R Sudhakaran
Procedia Engineering 64, 690-700, 2013
982013
Modeling and analysis of surface roughness of AL7075-T6 in end milling process using response surface methodology
M Subramanian, M Sakthivel, R Sudhakaran
Arabian Journal for Science and Engineering 39, 7299-7313, 2014
402014
Optimization of processes parameters on temperature rise in CNC end milling of Al 7068 using hybrid techniques
VS Kaushik, M Subramanian, M Sakthivel
Materials Today: Proceedings 5 (2), 7037-7046, 2018
322018
Integrated Taguchi cum grey relational experimental analysis technique (GREAT) for optimization and material characterization of FSP surface composites on AA6061 aluminium alloys
T Pravin, C Somu, R Rajavel, M Subramanian, PP Reynold
Materials Today: Proceedings 33, 5156-5161, 2020
162020
Clarifying the phenomenon of Ultrasonic Assisted Electric discharge machining
MS Pravin T *
Journal of the Indian Chemical Society 99 (10), 100705, 2022
102022
Effect on the Mechanical Properties of Al 7075 Reinforced with SiC and TiC Particles
BA M.Subramanian
International Journal of Engineering and Advanced Technology 10 (Issue-1 …, 2020
62020
Eco-friendly machining of super duplex stainless steel (UNS S32760) under nitrogen gas cooled and vegetable oil based MQL system
M Saravanakumar, P Tamilselvam, M Subramanian, C Somu
PalArch’s J. Archaeol. Egypt Egyptol 17, 5267-5295, 2020
52020
„„Optimization of End Milling Tool Geometry Process Parameters for Minimizing Surface Roughness of Al7068 Based on Response Surface Methodology”
VS Kausika, M Subramanian
TAGA JOURNAL 14, 1748-0345, 2018
32018
Using RSM and GA to Predict Surface Roughness Based on Process Parameters in CNC Turning of AL7075-T6
M Subramanian, R Sivaperumal, P Siva, M Sakthive
International Journal of Innovative Research in Science, Engineering and …, 2014
3*2014
A study on process characteristics of CNC end milling process for Al7075-T6 aluminium alloy
M Subramanian
Dissertation, Anna University, 2014
32014
Using labview to monitor respiration rate for sleep study
VS Jagadhish, M Subramanian
International Journal of Biomedical Engineering and Technology 12 (4), 360-370, 2013
32013
Comparative analysis on the proposed novel absorber configuration in a solar still
M Subramanian
Desalination and Water Treatment, 1-10, 2023
2*2023
An analytical method of prediction of stability and experimental validation using FFT analyzer in end milling process
P Palanisamy, M Subramanian, NP Manojkumar
Int J Appl Eng Res 13 (7), 5260-5264, 2018
22018
Investigations on the effect of surface coatings on the weldment properties on chromium manganese stainless steel gas tungsten arc welded plates
R Sudhakaran, PS Sivasakthivel, M Subramanian
Materials Today: Proceedings 46, 8554-8560, 2021
12021
Prediction of angular distortion in gas tungsten arc welded 202 grade stainless steel plates using artificial neural networks–An experimental approach
M Subramanian
AIP Conference Proceedings 2161 (1), 020050, 2019
12019
Frictional behaviour of AA7050/B4Cp hybrid composites
R Ranjith, PK Giridharan, M Subramanian
International Journal of Computational Materials Science and Surface …, 2019
12019
Materials Today: Proceedings
VS Kaushik, M Subramanian, M Sakthivel
Elsevier, 2018
12018
Development of a Novel Wear Equation by Comparing the Wear Behaviour of Hard (AA7075) and Soft (AA6063) Hybrid Composite Materials
B ARAVINTH, M SUBRAMANIAN, G ARUMUGAM, R MAYILDURAI
Materials Science 30 (4), 480-485, 2024
2024
THE EFFECT ON THE MECHANICAL PROPERTIES OF AL2O3, TIO2 PARTICLES REINFORCED WITH AL6063
M SUBRAMANIAN
NeuroQuantology 20 (Issue 6), Page 8853-8861, 2022
2022
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Artikler 1–20