R
Rajiv Shekhar
Researcher at Indian Institute of Technology Kanpur
Publications - 60
Citations - 683
Rajiv Shekhar is an academic researcher from Indian Institute of Technology Kanpur. The author has contributed to research in topics: Heat transfer & Anode. The author has an hindex of 14, co-authored 56 publications receiving 605 citations. Previous affiliations of Rajiv Shekhar include Indian Institute of Technology, Jodhpur & Indian Institutes of Technology.
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Electrochemical Drilling of Inconel Superalloy with Acidified Sodium Chloride Electrolyte
TL;DR: In this paper, the need for dummy workpieces above and below the workpiece for obtaining uniform hole diameter, specifically at the ends, has been pointed out, and the results also point to the need to use dummy work pieces above and above the work piece for obtaining a uniform hole.
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Microstructure evolution and texture development in thermomechanically processed Mg–Li–Al based alloys
TL;DR: In this article, the influence of alloying and thermomechanical processing on the microstructure and texture evolution on the two Mg-Li-Al based alloys was elicited.
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Electrochemical deep hole drilling in super alloy for turbine application
TL;DR: In this paper, a parametric study of electrochemical (DC mode) deep hole drilling in which acidified salt solution replaces acid electrolyte is performed, and the results show that the best hole is obtained at a voltage of 9.V, tool feed rate of 0.9mm/min, bare tip length of 4.128mm, with an electrolyte composition of 12.5% NaCl and 2.5 % HCl.
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Hole quality and interelectrode gap dynamics during pulse current electrochemical deep hole drilling
TL;DR: In this paper, the effects of five process variables (voltage, tool feed rate, pulse on-time, duty cycle, and bare tip length of tool) on the responses of pulse-current shaped-tube electrochemical deep hole drilling (PC-STED) of nickel-based superalloy have been discussed.
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Predicting radial overcut in deep holes drilled by shaped tube electrochemical machining
TL;DR: In this paper, a mathematical model that uses STEM operating parameters (voltage, tool diameter and feed rate, bare tip length and electrolyte composition) as inputs to predict radial overcut has been developed.