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D.S. Srinivasu (Sivasrinivasu Devadula)
D.S. Srinivasu (Sivasrinivasu Devadula)
Assistant Professor at IIT Madras
Verified email at iitm.ac.in - Homepage
Title
Cited by
Cited by
Year
Influence of kinematic operating parameters on kerf geometry in abrasive waterjet machining of silicon carbide ceramics
DS Srinivasu, DA Axinte, PH Shipway, J Folkes
International Journal of Machine Tools and Manufacture 49 (14), 1077-1088, 2009
1522009
Abrasive waterjet cutting of polycrystalline diamond: A preliminary investigation
DA Axinte, DS Srinivasu, MC Kong, PW Butler-Smith
International Journal of Machine Tools and Manufacture 49 (10), 797-803, 2009
1052009
A neuro-genetic approach for selection of process parameters in abrasive waterjet cutting considering variation in diameter of focusing nozzle
DS Srinivasu, NR Babu
Applied Soft Computing 8 (1), 809-819, 2008
902008
Geometrical modelling of abrasive waterjet footprints: a study for 90 jet impact angle
DA Axinte, DS Srinivasu, J Billingham, M Cooper
CIRP annals 59 (1), 341-346, 2010
692010
On geometrical accuracy and integrity of surfaces in multi-mode abrasive waterjet machining of NiTi shape memory alloys
MC Kong, D Srinivasu, D Axinte, W Voice, J McGourlay, B Hon
CIRP Annals 62 (1), 555-558, 2013
552013
Mask-less pocket milling of composites by abrasive waterjets: an experimental investigation
DS Srinivasu, DA Axinte
Journal of Manufacturing Science and Engineering 136 (4), 041005, 2014
502014
Image data-based surface texture characterization and prediction using machine learning approaches for additive manufacturing
V Akhil, G Raghav, N Arunachalam, DS Srinivas
Journal of Computing and Information Science in Engineering 20 (2), 021010, 2020
422020
Minimum zone evaluation of roundness using hybrid global search approach
DS Srinivasu, N Venkaiah
The International Journal of Advanced Manufacturing Technology 92, 2743-2754, 2017
312017
An analytical model for top width of jet footprint in abrasive waterjet milling: a case study on SiC ceramics
DS Srinivasu, D Axinte
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2011
292011
Surface integrity analysis of plain waterjet milled advanced engineering composite materials
DS Srinivasu, DA Axinte
Procedia Cirp 13, 371-376, 2014
232014
An adaptive control strategy for the abrasive waterjet cutting process with the integration of vision-based monitoring and a neuro-genetic control strategy
DS Srinivasu, NR Babu
The International Journal of Advanced Manufacturing Technology 38, 514-523, 2008
192008
Issues in machining of hollow core honeycomb sandwich structures by abrasive waterjet machining
S Devadula, M Nicolescu
Journal of Machine Engineering 13 (1), 117-124, 2013
112013
Modelling of abrasive waterjet kerf in a double-layered structure
NP Singh, DS Srinivasu, NR Babu
Journal of Manufacturing Processes 69, 514-531, 2021
92021
Neuro-Genetic approach for automatic selection of process parameters in abrasive water jet cutting considering the variation in bore diameter of focusing nozzle
DS Srinivasu, N Ramesh Babu, YG Srinivasa
Proc 21st AIMTDR, Vellore (India) Dec, 20-22, 2004
92004
A novel iterative-based field search technique for roundness evaluation
D Singh, N Arunachalam, DS Srinivasu
Procedia Manufacturing 53, 268-275, 2021
72021
A study on the interaction of jet with constituent layers of multilayered structure in through kerfing with abrasive waterjets
NP Singh, DS Srinivasu, NR Babu
Journal of Manufacturing Processes 60, 117-133, 2020
62020
Identifying joint dynamics in bolted cantilevered systems under varying tightening torques and torsional excitations
AA Thekkepat, S Devadula, M Law
Journal of Vibration Engineering & Technologies, 1-11, 2021
52021
Surface texture characterization of selective laser melted Ti-6Al-4V components using fractal dimension and lacunarity analysis
V Akhil, N Arunachalam, G Raghav, DS Srinivasu
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2020
52020
Thermal Analysis of Abrasive Waterjet Machining Process
NP Singh, DS Srinivasu, NR Babu
Manufacturing Engineering Section, Department of Mechanical Engineering …, 2017
52017
Genetically evolved artificial neural networks built with sparse data for predicting depth of cut in abrasive water jet cutting
DS Srinivasu, NR Babu, YG Srinivasa, H Louis, D Peter, R Versemann
Proceedings American Water Jet Conference. Houston, Texas, 1-16, 2005
52005
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Articles 1–20