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pro vyhledávání: '"M. Murugananth"'
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Autor:
M. Murugananth
Publikováno v:
Materials and Manufacturing Processes. 24:230-239
Strength and toughness of steel welds have always been considered as inversely related. This contradicting combination of these properties has made it difficult for designers to achieve an optimum combination. Optimizing the control variables like ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd637c8d942c4b85cb5849b2d535f19
https://doi.org/10.1080/10426910802612429
https://doi.org/10.1080/10426910802612429
Publikováno v:
International Journal of Computer and Electrical Engineering. :228-235
Maintaining load balancing in a computing cluster is an evident problem in distributed systems and research in this field is not new. The challenges in designing the load balancing algorithms are immense. This paper lists some of those challenges in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54e90c482e3ad66940ef31ea727a55f5
https://doi.org/10.7763/ijcee.2009.v1.35
https://doi.org/10.7763/ijcee.2009.v1.35
Publikováno v:
Materials Science and Technology. 23:819-827
A combination of neural networks and genetic algorithms has been used to design a TRIP assisted steel in which the silicon concentration is kept low. In this context, the steel has a novel microstructure consisting of δ ferrite dendrites and a resid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e740a9880a88f06923b1dd91e9829ba
https://doi.org/10.1179/174328407x179746
https://doi.org/10.1179/174328407x179746
Publikováno v:
Surface and Coatings Technology. 200:2663-2671
The effects of nitrogen addition to shielding gas during laser surface alloying with a mixture of 80 wt.% 431-type stainless steel and 20 wt.% titanium carbide powders were investigated. Microstructural characterization of the laser deposits indicate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86aab47c0a862550e14743f69ef321ed
https://doi.org/10.1016/j.surfcoat.2005.02.160
https://doi.org/10.1016/j.surfcoat.2005.02.160
Autor:
Gerard M. Ludtka, Harry Bhadeshia, S. M. Kelly, Roger A. Kisner, S. Suresh Babu, Roger A Jaramillo, Gail Mackiewicz-Ludtka, John B Wilgen, M. Murugananth, D. M. C. Nicholson
Publikováno v:
Scripta Materialia. 52:461-466
The continuous cooling transformation characteristics of novel bainitic steels have been studied, both under ordinary conditions and whilst subjected to a 30 T magnetic field. The magnetic field has been found to completely change the microstructure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c804a0ed96cd695163be69d0b97a0c65
https://doi.org/10.1016/j.scriptamat.2004.11.015
https://doi.org/10.1016/j.scriptamat.2004.11.015
Publikováno v:
Journal of Nuclear Materials. :238-242
New low-activation martensitic steels for creep resistance between 600 and 700 °C were designed using thermodynamic, kinetic and neural network modelling tools. Suitable compositions for a matrix stabilised by vanadium nitride (VN) particles were fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab99834a829b1acd5f6950d9edcda9d
https://doi.org/10.1016/j.jnucmat.2004.04.017
https://doi.org/10.1016/j.jnucmat.2004.04.017
Publikováno v:
Science and Technology of Welding and Joining. 9:109-120
Bayesian neural network (BNN) analysis has been used in the present work to develop an accurate model for predicting the ferrite content in stainless steel welds. The analysis reveals the influence of compositional variations on ferrite content for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03a3c0d9247994cb612d2529f0e4ff14
https://doi.org/10.1179/136217104225017026
https://doi.org/10.1179/136217104225017026
Autor:
M. Murugananth
This chapter discusses the development of artificial neural networks (ANNs) and presents various models as illustration. The importance of uncertainty is introduced, and its application, along with that of neural networks in materials science, are de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8648f70bb4d564f6a2abe77f59109c50
https://doi.org/10.1533/9780857090812.1.25
https://doi.org/10.1533/9780857090812.1.25
Publikováno v:
International Congress on Applications of Lasers & Electro-Optics.
A computational thermodynamic model was used to guide the generation of composite hard coatings made of hard particles distributed uniformly in a steel matrix. The calculations suggested that precipitation of titanium carbonitrides in liquid steel co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa7e59d81dc452091903f4b0fa73bb9
https://doi.org/10.2351/1.5060285
https://doi.org/10.2351/1.5060285