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Navickas Computer Engineering Department, Electronics Faculty, Vilnius Gediminas Technical University, Naugarduko 41 - 437, LT-03227 Vilnius, Lithuania romualdas.navickas@el.vtu.lt Keywords: nanotechnology, nanoelectronics, microelectromechanical systems (MEMS), nanoelectromechanical systems (NEMS), education, multidisciplinarity.
There is also no established curriculum for nanotechnology in Universities, nor is there a clear pedagogical understanding of how to teach such a multidisciplinary subject, which draws on physics, chemistry, biology, microelectronics, electrical and mechanical engineering, as well as other fields.
This means bringing specialists from basic disciplines and engineering to share common facilities.
The present highly advanced information society is supported by the development of silicon VLSI.
Bayot: Proc. of the EURONANOFORUM 2003 European and International Forum on Nanotechnology CEA, Trieste on 9-12 December (2003), p. 41-43 [3] B.

Dmytro Savvakin: Key Engineering Materials Vol. 188 (2000), p 55
Zhang: Science of Advanced Materials Vol. 1 (2009), p. 205
Kato and T.Yashiro: Materials Science and Engineering A Vol.243 (1998), p. 244
Ding: Materials Science and Engineering R Vol. 47 (2004), p. 49
Yongqiang: Materials Science Forum Vols. 618-619 (2009), p. 169.

Shankar3,c 1,2,3Department of Mechanical engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India aaravindsenan316@gmail, bmcakshay96@gmail.com, ckarthikvs@am.amrita.edu Keywords: Al2O3 / B4C, Hardness, Tensile strength, Yield strength, Al-6.6Si-0.5Mg, Hybrid Metal matrix composites.
Further, is a ceramic reinforcement which has the potential to enhance the engineering properties like tensile strength and hardness, of the matrix.
Thus, Aluminium Metal Matrix composites are emerging as advanced engineering material because of their increased strength, ductility and toughness.
Forum, vol. 889, pp. 148–151, 2017

Formability Analysis of Fiber Metal Laminates with Different Core and Skin Layers by Stamping Process Lei Li1,a, Lihui Lang1,b, Blala Hamza1,c and Sergei Alexandrov1,d 1Department of Mechanical Engineering and Automation, Beihang University, 37#Xueyuan Road, Haidian District, Beijing, China ablue-view@163.com, blang@buaa.edu.cn, cblala.hamza@yahoo.fr, dsergei_alexandrov@yahoo.com Keywords: Core layers, Fiber Metal Laminates (FMLs), Forming limit height Abstract.
Choi, Fiber metal laminates: An advanced material for future aircraft.
International Journal of Impact Engineering, 49 (2012) 77-90
Remmers, Analysis of fracture and delamination in laminates using 3D numerical modelling, Engineering Fracture Mechanics. 76 (2009) 761-780
Materials Science Forum. (2018)

Phanikumar1,c 1 Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras Chennai- 600036, India 2 Advanced Magnetic Materials Group, Defence Metallurgical Research Laboratory Hyderabad-500058, India a rvsp@smail.iitm.ac.in bmraja@dmrl.drdo.in cgphani@iitm.ac.in Keywords: Melt spinning, Ni2(Mn,Fe)Ga, Heusler Alloy, Tweed structure, Martensite Abstract.
Jones, et al., Materials Science and Engineering A, 11-19 304 (2001)
Wang, et al., Materials Science and Engineering A 438-440 (2006) [7] Daniel Soto, et al., Physical Review B 77, 184103, 2008 [8] R.V.S.
Phanikumar, Material Science forum (to be published) [9] R.V.S.

Grain boundary sliding of �5(001) twist grain boundary in aluminum bicrystal from first-principles calculations Tokuteru Uesugi1, Kengo Tsuchiya 2, Masanori Kohyama 3 and Kenji Higashi 4 1 Department of Metallurgy and Materials Science, Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, Osaka, 599-8531, Japan, cz201@mtl.osakafu-u.ac.jp 2 Department of Metallurgy and Materials Science, Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, Osaka, 599-8531, Japan, ez202@mtl.osakafu-u.ac.jp 3 Interface Science Research Group, Special Division of Green Life Technology, National Institute of Advanced Industrial Science and Technology, 1-8-31 Midorigaoka, Ikeda, Osaka, 563-8577, Japan, m-kohyama@aist.go.jp 4 Department of Metallurgy and Materials Science, Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, Osaka, 599-8531, Japan, higashi@mtl.osakafu-u.ac.jp Keywords
Higashi: Materials Science Forum Vol. 419-422 (2003), p. 225 [14] M.

Many foreign universities and laboratories take VTK as teaching and research tool which has been widely used in the field of medicine, petroleum exploration, rock and soil engineering.
Figure 6 Arbitrary section 2)volume data extracting Volume data extracting can be realized by vtkImagePlaneWidget, the result is shown in Figure 7 Figure 7 Volume data extracting Summary In order to make 3D modeling method based borehole widely used in engineering, the modeling method must be simple and practical.
Display of surface from volume data [J].Computer Graphics and Applications, 1988, 3(8): 29-37 [4] M Hadwiger, C Sigg, H Scharsach Real‐Time Ray‐Casting and Advanced Shading of Discrete Isosurfaces[D] computer graphics forum, Volume 24, Issue 3, pages 303–312 2005 [5] S Stegmaier, M Strengert, T Klein A simple and flexible volume rendering framework for graphics-hardware-based raycasting[D], Volume Graphics, 2005 Fourth International Workshop on: 187 – 241.
[8] Fan Minghui,Chen Chongcheng, Chi Tianhe Research and Application on the Continuity of Monitoring Data Using Kriging Interpolation Computer Engineering and Applications[J] 2005 pages 210-212

Zong Precision Engineering Research Institute, P.
Introduction As the development of the science and technology, the parts with the regular curved face, the nonaxisymmetrical curved face, the free curved face and even the more complex heteromorphy's curved face have been wildly used in the advanced optical equipment field, such as military equipment, aerospace, shipbuilding, biomedicine, electron information etc.
The micro three-coordinates NC machine tool The experimental equipment is the macro three-coordinates machine tool developed by the HIT (Harbin Institute of Technology) Precision Engineering Research Institute.
The machining experiment of the complex surface part The experimental equipment is the macro precision machine tool developed by the HIT Precision Engineering Research Institute (see Fig.1).
Materials Science Forum, Vol.471 (2004), No.9, pp. 155-161.

Experiment and dynamic model of motor for rotary-screw-driven dispensing system Shuzhen Liu1, a, Yubao Zhang2,b and X.B.Chen3,c 1Institute of Mechanical Engineering, Ningbo University of Technology, Ningbo, China 2 Institute of Information Engineering,Zhejiang Textile and Fashion College, Ningbo China 3 Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, S7N 5A9 ashuzhenl@163.com, bzbaob@163.com, cxbc719@mail.usask.ca Keywords: motor, dynamic model, experiment, dispensing system Abstract.
Introduction Automatic fluid dispensing has been widely applied in industry production, such as advanced integrated circuit encapsulation (AICE), surface mount technology (SMT), micro-electromechanical system(MEMS) assembly etc[1,2,3,4].
B., and Hashemi, M., 2006, “Investigation into the Performance of the Rotary Screw Fluid Dispensing Processes,” CSME Forum, May 21-24, Delta Lodge at Kananaskis, Alberta, Canada

A Feasibility Study on Metallurgical Slag Classification by Microstructure Recognition Jirapracha Thampiriyanon1,a, Kitti Laungsakulthai1,b, Piamsak Laokhen1,c, Siam Thongnak2,d and Sakhob Khumkoa1,e 1School of Metallurgical Engineering, Institute of Engineering, Suranaree University of Technology, Thailand 2School of Design Technology, Institute of Engineering, Suranaree University of Technology, Thailand ajirapracha@gmail.com, bleo8055@hotmail.com, cm6111496@g.sut.ac.th, dsiam@sut.ac.th, esakhob@sut.ac.th Keywords: Metallurgical Slag, Microstructural Analysis, Artificial Intelligent, Deep Learning, Convolutional Neural Network Abstract.
Autonomous Interpretation of the Microstructure of Steels and Special Alloys, Materials Science Forum, Vol. 949 (2019), pp. 24-31
Advanced Steel Microstructural Classification by Deep Learning Method, Scientific Reports, Vol. 8 (2018)