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Introduction Over a number of decades, considerable effort has been made towards the development of lightweight engineering materials.
Experiments were carried out to study the effect of adding 0.5wt% of α-Al2O3 and γ-Al2O3 powder (Supplied by Inframat Advanced Material, 0.5 µm in size) on the morphology of Si in solidification of hypereutectic Al-18Si alloys at 800 ºC.
Acknowledgement The financial support from Engineering and Physical Sciences Research Council (EPSRC), UK is acknowledged with gratitude.
Forum, 765 (2013) 117-122

Effect of Pre-Existing Martensite on Bainitic Transformation in Low-Temperature Bainite Steel Peng Zhou1,2,a, Hui Guo3,b, Aimin Zhao3,c, Zhukai Yin1,d, Jiaxing Wang1,e 1Institute of Engineering Research, University of Science and Technology Beijing, Beijing, 10083, China 2National Engineering Research Center of Advanced Rolling Technology, University of Science and Technology Beijing, Beijing, 100083, China 3Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 10083, China azhoupeng@nercar.ustb.edu.cn bguohuiyw@126.com, czhaoaimin@ustb.edu.cn, dyinzhukai@126.com, exiaoxingxing@outlook.com, Keywords: Low-temperature bainite, Pre-existing martensite, Phase transformation kinetics, Incubation period Abstract.
Forum 500 (2005) 495-502

Giri Suada1 and Mardjono Siswosuwarno1 1Faculty of Mechanical and Aerospace Engineering Bandung Institute of Technology, Ganesha 10, Bandung 40132, Indonesia ahastoadi@yahoo.com Keywords: low wind speed wind turbine, composite design, tsai-hill criteria, unidirectional, woven Abstract.
[3] Composites in Wind Energy: From Financing, Material Selection to Maintenance, Wind Energy Forum Proceedings, October 2009
[6] Philips, Leslie N., Design with Advanced Composite Materials, The Design Council, London (1989)
[11] Cross, Nigel, Engineering Design Methods : Strategies for Product Design, John Wiley & Sons, London (2008).

A Brief Introduction to Alloy Phase Chemistry Determination under EPMA/SEM-EDS Conditions and its Applications Zhifang Peng1,a, Lisheng Cai1,b, Yingying Dang1,c, Lei Zhao1,d, Fangfang Peng2,e,Zhigang Yang1,f, Guangzong Yan1,g, Shengguang Chen1,h, Jun Zhou1,i and Yuangui Zhou1,j 1Department of Materials Engineering, College of Power and Mechanical Engineering, Wuhan University, Wuhan, China, 430072 2Materials Research Department, Dong Fang Boiler Group Corp.
Atomic Partitioning of Platinum and Ruthenium in Advanced Single Crystal Ni-based Superalloys.
Forum Vol. 546-549 (2007), p. 1187-1194

Preliminary Study of FSW Process of Dissimilar Aluminium Alloys in Battery Pack Assembly for Hybrid Vehicles Production Napolitano Francesco1,a*, Scherillo Fabio1,b, El Hassanin Andrea1,c, Esperto Vitantonio2,d, Carlone Pierpaolo2,e, Squillace Antonino1,f, Casarin Renzo3,g and Verde Carlo4,h 1University of Naples Federico II, Department of Chemical, Materials and Industrial Production Engineering, Piazzale V.
Tecchio, 80 – 80125 Naples – ITALY 2University of Salerno, Department of Industrial Engineering, Via Giovanni Paolo II, 132 – 84084 Fisciano – ITALY 3FPT Industrie S.p.A., Via Enrico Fermi, 18 – 300036 L.p.
If the AA6061 alloy is positioned on the advancing side the maximum temperature and the heat generation is higher than the configuration with A390 on the advancing side, this is due to the lower flow stress of AA6061 with respect to A 390 [11].
Forum Res.

Doak2,b 1College of Engineering, Swansea University, Singleton Park, Swansea 2College of Medicine, Swansea University, Singleton Park, Swansea ao.j.guy@swansea.ac.ukemail, bs.h.doak@swansea.ac.uk Keywords: Graphene, epitaxial, SiC, biosensor Abstract.
Silicon Carbide (SiC), an advanced semiconductor material, has been discovered to be a suitable substrate for graphene growth [2, 6, 7, 8].
Acknowledgment This work was supported by the Engineering and Physical Science Research Council [grant number EP/I00193X/1] References [1] Sun, X., Liu, Z., Welsher, K., Robinson, J.
Forum 615, 223--226. [7] Guy, O.

Verkin Institute for Low Temperature Physics & Engineering NASU, Kharkov, Ukraine 3 Centre for Advanced Hybrid Materials, Materials Engineering Dept., Monash University, Australia a i.golovin@misis.ru (corresponding author), b palval@ilt.kharkov.ua, c yuri.estrin@monash.edu Keywords: ultrafine grained Cu, equal-channel angular pressing, damping, recovery, recrystallization Abstract.
Materials Science Forum, 667-669 (2011) 857-862 [4] V.D.

Selvaraj2,b 1Research Scholar, SSN College of Engineering, Chennai, India 2Associate Professor, SSN College of Engineering, Chennai, India akrameshkumar@nbkrist.org, bselvarajm@ssn.edu.in Keywords: Wind Turbine, Diffuser, Area Ratio, Dual rotor blade, Riblets, CFD Abstract.
[11] Muhammad Faiz Rozaim, Fazila Mohd Zawawi, Nur Safwati Mohd Nor, Haslinda Mohamed Kamar & Nazri Kamsah, Experimental study on performance of low speed wind turbine for application in Malaysia, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 26, Issue 1 (2016) 20-28
Series: Materials Science and Engineering 501 (2019) 012041
Farooq, Modeling and analysis of wind turbine blade with advanced materials by simulation.
International Journal of Applied Engineering Research, Volume 11, Number 6 (2016).

Shakhmurzova, et al., Synthesis and research of properties of polyether ether ketone, Key Engineering Materials. 816 (2019) 55-60
Chen, et al., Synthesis and properties of novel poly(arylether ketone)s containing both 2,6-naphthylene moieties and amide linkages in the main chains, Polymer Advanced Technology. 24 (2013) 466-472
Xiao, et al., Synthesis of poly(aryletherketone)s containing diphenyl moieties by electrophilic Friedel-Crafts solution polycondensation, Polymer advanced technologies. 20 (2009) 981-986
Qian, et al., Synthesis and properties of novel copolymers of poly(ether ketone diphenyl ketone ether ketone ketone) and poly(ether amide ether amide ether ketone ketone), Polymer engineering and science. (2014) 1-8
Zhou, et al., Synthesis and properties of novel copolymers of poly(ether ketone ether ketone ketone) and poly(etheramideamide etherketoneketone), Polymer engineering and science. (2013) 1-7

Machine Learning Approaches for Classification of Ultra-High Carbon Steel Micrographs Jorge Muñoz-Rodenas1,a, Valentín Miguel1,2, b *, Francisco García-Sevilla1,2,c, Juana Coello1,2,d and Alberto Martínez-Martínez1,e 1Regional Development Institute, Science and Engineering of Materials, University of Castilla-La Mancha, 02071 Albacete, Spain 2Higher Technical School of Industrial Engineers of Albacete, University of Castilla-La Mancha, 02071 Albacete, Spain ajorge.munoz6@alu.uclm.es, bvalentin.miguel@uclm.es, cfrancisco.garcia@uclm.es, djuana.coello@uclm.es, ealberto.martinez@uclm.es *corresponding author Keywords: microstructure, high carbon steel, machine learning, bag of features Abstract.
Roweis, Stochastic neighbor embedding, in: Advances in Neural Information Processing Systems (2003) 15 833–840
Advances in Self-Organizing Maps and Learning Vector Quantization.
In 2009 International Forum on Computer Science-Technology and Applications (IEEE) (2009) 2 117–120.