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Morozov2 1Donetsk Institute for Physics&Engineering of the National Academy of Sciences of Ukraine, 72, R. 
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Soloviev: Reviews in Advanced Materials Science, Vol.10, #3 (2005), p.235
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FEM Simulation of the Effect of Mold Initial Temperature on Carbon Macrosegregation in Large-Size Steel Ingots Chunping Zhang1,a,*, Abdelhalim Loucif1,b, Mohammad Jahazi1,c and Jean-Benoit Morin2,d 1Mechanical Engineering Department, École de technologie supérieure, 1100 Rue Notre-Dame West, Montreal, Quebec H3C 1K3, Canada 2Finkl-Steel-Sorel, 100 Rue McCarthy, Saint-Joseph-de-Sorel, Quebec J3R 3M8, Canada a,*chunping.zhang.1@ens.etsmtl.ca, babdelhalim.loucif.01@gmail.com, cMohammad.Jahazi@etsmtl.ca, djbmorin@finkl.com Keywords: Finite Element modeling, large size steel ingot, initial mold temperature, macrosegregation Abstract.
The increase was associated with the increased temperature gradient in the casting, the advance predominance of thermal convection, and the delayed solidification process.
Acknowledgements Finkl Steel-Sorel Co. for providing the technical data, casting facility, material and extensive technical discussions and the financial support from the Natural Sciences, Consortium de Recherche et d’innovation Métallique du Québec (CRITM) and Engineering Research Council (NSERC) of Canada in the form of a Collaborative Research and Development Grant (CRD) under number 536444 are gratefully acknowledged.
Forum 879 (2016) 1176-1181
Kang, Advances in Materials Processing, Y.

.), Andhra Pradesh, India hosted an “International Conference on Advances in Material Science and Mechanical Engineering (ICAMSME - 2020)”.
It was organized by the Department of Mechanical Engineering during 7-9, February, 2020.
The conference provided a platform to the academicians, researchers, scientists, industrial professionals, and students to unleash their research work and created a forum for effective sharing of ideas to face the future global challenges from the perspective of rising trends in Engineering and Technology.
Total twelve eminent professionals delivered keynote and invited sessions on recent developments in materials and processing technologies in defense, aerospace and space applications, Nano Electro-Mechanical Systems (NEMS), Robust Quality Index (RQI) for manufacturing, advances in the digital twin, artificial intelligence and machine learning in manufacturing, smart manufacturing, and cyber-physical systems.
Anand Ronald, SSN College of Engineering, Chennai · Dr.

Knyazeva, Numerical study of the influence of the technological parameters on the composition and stressed-deformed state of a coating synthesized under electron-beam heating, Theoretical Foundations of Chemical Engineering.  2 (2010) 172 - 185 [2] N.V.
Martyushev, Alignment of the microstructure of castings from the heterophase lead bronzes,   Advanced Materials Research.  880 (2014) 163 - 167  [3] N.V.
Semenkov, The possibility of casting surface alloying by nanopowders,   Advanced Materials Research.  880 (2014) 272 - 275  [4] I.G.
Bogdan, The resource efficiency assessment technique for the foundry production, Advanced Materials Research.  880 (2014) 141 - 145 [5] I.B.
Kostikov, Study of phase formation processes in a three-component system of diopside, porcelain, alumina, in Proceedings of the Russian-German Forum on Nanotechnology, Tomsk Polytechnical University, Tomsk, 2013, pp. 201-205

The properties of Ti-6Al-4V were taken from the library Engineering Data Sources Additive Manufacturing Materials.
J. of Advanced Manufacturing Technology. 53 (2011) 231-239
Tuck, Effect of the build orientation on the mechanical properties and fracture modes of SLM Ti-6Al-4V, Materials Science and Engineering A. (2014) 1-11
of Optoelectronics and Advanced Materials. 19 (2017) 738-747
Moiduddin, Microstructure and mechanical properties of porous titanium structures fabricated by electron beam melting for cranial implants, Proceedings of the Institution of Mechanical Engineers, Journal of Engineering in Medicine. (2018) 185-199

Murch 1, b 1 Diffusion in Solids Group, School of Engineering, The University of Newcastle, Callaghan, New South Wales 2308, Australia a Irina.Belova@newcastle.edu.au, b Graeme.Murch@newcastle.edu.au Keywords: Grain boundary diffusion, segregation, Monte Carlo methods.
In the simplest algorithm, each attempt to jump by a particle advances the 'clock' by one time step.
Mishin, Defect and Diffusion Forum Vol. 194-199 (2001), p.1113
Murch, Materials Science Forum, to be published
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An Introduction to Cloud Design Ji Xiang Lu1,a Chang De Lu 1,b Ping Wang 2,c 1College of Mechanical and Electrical Engineering, Northwestern Polytechnical University, Xi’an 710072, China 2School of Telecommnication Engineering, Xidian University, Xi’an 710071, China a,bxiangzil@163.com, cwangping@xidian.edu.cn, Keywords: Design, Cloud design, Cloud manufacturing, Cloud computing, Internet of things, Computer aided industrial design(CAID), Design culture Abstract.
This paper discusses the concept and theory of cloud design, which is a design framework empowered by advanced technologies including cloud computing.
What cloud manufacturing aims is to support manufacturing to provide global manufacture service, products with high added value, low cost – all these with the ample internet resources by adopting advanced information technology which includes cloud computing.
Until today, CAD technologies mainly assist computing and engineering design of product, not industrial design.
Ahmeds is the first person to introduce ontology to the field of engineering design.

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The reliable operation of an engineering structure is highly influenced by the joints of its structural elements.
Bolló (Eds.): VAE 2018, Lecture Notes in Mechanical Engineering, pp. 694–708 (2018) [4] L.
He, Clinching for sheet materials, Science and Technology of Advanced Materials, 18:1, (2017) 381-405 [11] Y.
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