Zobrazeno 1 - 10
of 21
pro vyhledávání: '"P S Sivasakthivel"'
Autor:
S Jeyaraj, P S Sivasakthivel
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 236:2056-2070
In this investigation, the Nickel (Ni) – Chromium (Cr) composite deposits was developed from conductive type nickel plating bath through electrodeposition technique. The Cr particles concentration in bath were taken in three different proportions s
Publikováno v:
Materials Today: Proceedings. 46:8554-8560
This paper reports the enhancements for the effects of specific fluxes such as Tungsten Carbide and Chromium Oxide on the weldment properties such as micro hardness, weld bead geometry and tensile strength obtained with Gas Tungsten Arc Welding Proce
Publikováno v:
Journal of Engineering Science and Technology, Vol 7, Iss 2, Pp 195-208 (2012)
This paper presents a study on optimization of process parameters using particle swarm optimization to minimize angular distortion in 202 grade stainless steel gas tungsten arc welded plates. Angular distortion is a major problem and most pronounced
Externí odkaz:
https://doaj.org/article/a6ae41cf66734c66a2c499bfa15891f3
Autor:
M. Subramanian, S. Mahendran, R. Sudhakaran, R. Vijayakumar, M. Sathish Kumar, P. S. Sivasakthivel
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811547447
Welding quality can be accomplished by meeting quality prerequisites, for example, bead geometry by detecting either directly or indirectly the different procedure parameters engaged with the procedure. Lacking weld bead measurements may add to the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d724ac56e1a11ce21ae371422bf6c4a6
https://doi.org/10.1007/978-981-15-4745-4_62
https://doi.org/10.1007/978-981-15-4745-4_62
Autor:
P. S. Sivasakthivel, R. Sudhakaran
Publikováno v:
Australian Journal of Mechanical Engineering. 18:S76-S87
A back propagation neural network model was developed for the prediction of bead geometry (depth of penetration, height and width) in gas metal arc welded (GMAW) stainless steel plates. The plates ...
Publikováno v:
Machining Science and Technology. 21:452-473
Selection of geometrical and machining parameters has great influence in machining performance. Predictive modeling can be used in optimization and control of process parameters. This study focuses on the optimization and sensitivity analysis of mach
Publikováno v:
RENEWABLE ENERGY SOURCES AND TECHNOLOGIES.
GTAW process is appropriate for joining slim and medium thickness materials like stainless steel sheets. Stainless steel 202 grade has wide applications in making consistent stainless steel tubes, super warmer cylinders, cook products and so forth.,
Autor:
Muniyandi Venkatesan, B. Avinash, P. Chandra Dheeraj, G. Sai Pavan Kumar, P. S. Sivasakthivel
Publikováno v:
Applied Mechanics and Materials. :992-996
With the fast depletion of the conventional energy resources and the amount of pollution it is creating, the entire world is looking for an alternative non-conventional and a renewable energy to lessen the dependency on the conventional energy resour
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39:487-496
This paper focused on the effect of geometrical and machining parameters such as rake angle, nose radius, cutting speed, feed rate, and depth of cut on temperature rise during end milling operation. The experiments were conducted on Al 6351 with high
Autor:
P. S. Sivasakthivel, R. Sudhakaran
Publikováno v:
International Journal of Knowledge-based and Intelligent Engineering Systems. 18:211-227
The quality of stainless steel weld is highly influenced by delta ferrite content expressed in terms of ferrite number. The quantity of delta ferrite content formed is controlled by the process parameters. This paper discusses the development of arti