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It integrated advanced material models with industrial fabrication process models to predict the microstructures and properties in the complete production chain processes of Al sheet and profiles, i.e. by DC ingot casting, rolling and extrusion and analyze complex interactions of critical process parameters with the corresponding metallurgical mechanisms and predict the related material response and properties.
Then further advances in computer technology and new physically based model approaches allowed to integrate the material and process models into industrial production and a detailed analysis of the main process parameters correlated with basic principles of physical metallurgy and their (statistical) correlation with material properties became possible.
Their implementation and in-line application will help plant engineers to analyse and solve practical problems, to increase industrial process variability and material quality and significantly decrease development time and cost.
Karhausen, Olaf Engler in "Continuum Scale Simulation of Engineering Materials, Fundamentals-Microstructures-Process Applications" edt. by D.Raabe, F.Roters, F.Barlat, Chen, Long-Qing 2004, ISBN 3-527-30760-5 - Wiley-VCH, Weinheim, p.705 [10] M.Rapaz, in ref. [7] p.559 and Q.
ICAA8 Cambridge/UK ; Materials Science Forum Vol. 396-402 Transtec Publications, Switzerland, (2002), p1721

Vasb Department of Polymer Engineering, Budapest University of Technology and Economics H-1111, Budapest, Mőegyetem rkp. 3., Hungary a simon@pt.bme.hu, bvas@pt.bme.hu Keywords: woven glass reinforced composite, three point bending test, span-to-thickness ratio, bending modulus Abstract.
Introduction Designing with composite materials has always been a big challenge to the engineers.
Materials Science Forum 473474 (2005), p. 59 [2] T.
Advanced Composites Letters 10 (2001), p. 257 [12] S.

Naid 1,e 1 School of Computing and Engineering, University of Huddersfield, a S.Al-Arbi@hud.ac.uk, bf.gu@hud.ac.uk, cl.guan@hud.ac.uk, da.ball@hud.ac.uk, e a.naid@hud.ac.uk Keywords: Gearbox, attenuation, interference, spectrum analysis, time synchronous averaging.
To develop more effective and robust diagnosis features from remote measurements with more advanced data analysis is the future work of this subject.
Proceedings of the Institute of Mechanical Engineers.
Smith, A multidisciplinary research approach to Rotorcraft health and usage monitoring, American Helicopter Society 52nd Annual Forum, (1996), p. 1732 [5] L.

JFETs are a good alternative to MOSFETs but the normally-on nature that confers them very low on resistance is unattractive to application engineers.
Asllani et al., “Advanced Electrical Characterisation of High Voltage 4H-SiC PiN Diodes,” Mater.
Forum, vol. 963, pp. 567–571, Jul. 2019
Forum, vol. 645–648, pp. 1025–1028, Apr. 2010

Ma, Friction stir welding and processing, Materials Science and Engineering: R: Reports 50 (2005) 1-78
Sun, Natural aging behaviour of friction stir welded 6005A-T6 aluminium alloy, Materials Science and Engineering: A 576 (2013) 29–35
Weihe, ‘Experimental investigation of the friction stir welding dynamics of 6000 series aluminum alloys, Production Engineering 12 (2018) 667-677
Morisada, Microstructure-property relation and evolution in friction stir welding of naturally aged 6063 aluminium alloy, The International Journal of Advanced Manufacturing Technology 91 (2017) 5-8
Vilaca, Advanced technique for non-destructive testing of friction stir welding of metals, Journal of Measurement 43 (2010) 1021-1030

Due to the combination of these properties, PPS has found wide application in electrical engineering, electronics, aerospace, military and household appliances, automotive, chemical and transport engineering, medicine and other strategically important industries [1-4].
Mrazova, Advanced composite materials of the future in aerospace industry.
Yuan, Synthesis, characteristics and adsorption properties of polyphenylene sulfide based strong acid ion exchange fiber, Polymers for Advanced Technologies. 25 (2014) 1590-1595
Pape, Adhesion Promoters, Applied Plastics Engineering Handbook. (2011) 503–517
Wang, High-performance polyphenylene sulfide composites with ultra-high content of glass fiber fabrics, Composites Part B: Engineering. (2019) 1-10

Journal of Food Engineering, 117(4), 486–491. https://doi.org/10.1016/j.jfoodeng.2012.10.02 [15] Kasmin, H., Lazim, A.
Journal of Food Engineering, 79(3): 1079 – 1086
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 82(2), 39–46. https://doi.org/10.37934/arfmts.82.2.3946 [25] Poku, K. (2002).
Journal of Food Engineering, 143, 123–131. https://doi.org/10.1016/j.jfoodeng.2014.06.022 [37] YCW. (2013).
Journal of Advanced Agricultural Technologies, 9(1). https://doi.org/10.18178/joaat.9.1.1-8 [39] Zamanhuri, N.

Free Vibration Analysis of Composite Material Plates "Case of a Typical Functionally Graded FG Plates Ceramic/Metal" with Porosities MERDACI Slimane1,a* 1Structures and Advanced Materials in Civil Engineering and Public Works Laboratory, University of Sidi Bel Abbes, Faculty of Technology, Civil Engineering and Public Works Department, Algeria.
The lightweight composite materials known as fiber-matrix laminated composites have been used successfully in aircraft, automotive, marine industries and other engineering applications.
[27] MERDACI Slimane “Study and Comparison of Different Plate Theory”; International Journal of Engineering Research And Advanced Technology (IJERAT); Vol.3 (Number 8), pp 49-59, (2017)
[29] Merdaci Slimane “Analysis of Bending of Ceramic-Metal Functionally Graded Plates with Porosities Using of High Order Shear Theory”; Advanced Engineering Forum; Vol.30, pp 54-70, (2018)

Fabrication of Aluminium Surface Composites Aluminium metal matrix surface composites are unique class of materials with improved tribological properties are most extensively used in advanced engineering design.
Material science Engineering A,1993,168:141-148
Material Science Engineering A,2005, 393:344-351
Materials Science and Engineering.
Materials Science Engineering.

Simulation and error analysis of experimental results showed that, the designed algorithms can accurately forecast short-time traffic flow of the regional intelligent transportation control, forecasting effects is better, can be effectively applied to actual traffic engineering.
Algorithm process In RBF Neural network, output weight , hidden units in the centre and the width , which Have a great influence for the predictive performance of the RBF neural network forecasting model, however, it is difficult to determine the appropriate value of the , , in advance.
In General, through above simulation and error analysis can know, the designed algorithms can accurately forecast short-time traffic flow of the regional intelligent transportation control, forecasting effect is better, can be effectively applied to actual traffic engineering.
Integrated and Sustainable Transportation System (FISTS), 2011 IEEE Forum on. 2011:146-151
Systems Engineering-Theory & Practice.