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D.S. Srinivasu

Researcher at Indian Institute of Technology Madras

Publications -  23
Citations -  463

D.S. Srinivasu is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Abrasive & Machining. The author has an hindex of 10, co-authored 16 publications receiving 385 citations. Previous affiliations of D.S. Srinivasu include University of Nottingham & National Institute of Technology, Tiruchirappalli.

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Influence of kinematic operating parameters on kerf geometry in abrasive waterjet machining of silicon carbide ceramics

TL;DR: In this paper, the influence of key kinematic operating parameters (i.e. α -jet impingement angle and v -jet feed rate) on the kerf geometry and its dimensional characteristics was investigated.
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Abrasive waterjet cutting of polycrystalline diamond: A preliminary investigation

TL;DR: In this article, a preliminary study of the capability of AWJ cutting of polycrystalline diamond (PCD) using abrasive media with different hardness, i.e., aluminium oxide (Al2O3), silicon carbide (SiC), and diamond, is presented.
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A neuro-genetic approach for selection of process parameters in abrasive waterjet cutting considering variation in diameter of focusing nozzle

TL;DR: A neuro-genetic approach is proposed to suggest the process parameters for maintaining the desired depth of cut in abrasive waterjet (AWJ) cutting by considering the change in diameter of focusing nozzle, i.e. for adaptive control of AWJ cutting process.
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Geometrical modelling of abrasive waterjet footprints: A study for 90° jet impact angle

TL;DR: In this article, a geometrical model of the jet footprint (kerf) in maskless controlled-depth milling applications is presented, where the model firstly needs to find the material specific erosion (etching) rate that is obtained from the jet footprints by taking the limiting conditions (high jet feed rates) of the model.
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On geometrical accuracy and integrity of surfaces in multi-mode abrasive waterjet machining of NiTi shape memory alloys

TL;DR: In this paper, the authors investigated the influence of process parameters on the integrity and geometrical accuracy while taking into consideration the secondary temperature and mechanical induced transformations in the workpiece material, and proved that AWJ machining, if optimally conducted, can generate surfaces that can fulfill the quality requirements (e.g. cut surface: roughness).