Search results

Donze, Modelling of high-density compaction of granular materials by the discrete element method, International Journal of Solids and Structures 46 (2009) 3357-3364
Ivanov, Implementation of fuzzy logic in the smelting process of control algorithms of copper-nickel sulfide materials, Journal of Physics: Conference Series 1384 (2019) 012065
Discrete element simulation of powder sintering, Computer methods in materials science, Informatyka w Technologii Materiałów, 11(1), (2011) 68-73 [14] E.
Hosford, Material Science, Cambridge University Press, 2006
McMeeking, A network model for initial stage sintering, Mechanics of Materials, 27 (1998) 111-124

Optimized Design of Multi-ingredient Radar Absorbing Materials Using Genetic Algorithms J.
Zhang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070,Chinaˈ Tel: 86-27-87218832; email: guanjg@public.wh.hb.cn Key words: Radar absorbing coating materials, Optimized design, Genetic algorithm, Microwave absorber, Adhesive agent.
Introduction This paper focuses on the optimized design of multi-ingredient radar absorbing materials (RAC), which involves the solution of an N-dimensional optimization problem with multi-goal.
Gou: Journal of UEST of China, Vol. 29 (2000), p. 54
Guan et al: Design of Broadband, Thin-layer Rader Absorbing Materials Using Genetic Algorithms (Acta Electronica Sinica (Accepted))

All the materials were supplied as hot-rolled bar with a diameter of 16mm.
This means that no general yielding was occurred in two materials.
Journal of Materials Science, Vol.37, (2002), p. 2543-2547 [3] Q.Y.
Materials Science and Engineering A, Vol.316, (2001), p.80-86 [4] W.L Server, Journal of Testing and Evaluation, JTEVA,Vol. 6, No.1,(1978), p.29-34 [5] T.
Kutumba Rao b Materials Science and Engineering A Vol. 254, (1998), p. 147-154 [6] Hirofumi Yoshimuraa, Jun Nakahigashib: Journal of Alloys and Compounds.

VSR Mechanism based on MC algorithm Simulation of Grain Growth Behavior of Sustainable Materials Xi Zou1,a, Xuejun Li2,b, Yongyi Gao3,c, Kuanfang He4,d, kun Jianjian5,e 1,2,3,4,5Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan, 411201, China a284195782@qq.com, bhnkjdxlxj@163.com, cgaoyongyi5188@163.com, dhkf791113@163.com, emnjk333@sina.com Keywords: MC algorithms, grain growth, VSR, mechanism Abstract.
Acknowledgements Financial support from National Natural Science Foundation of China (51175205) the scientific research fund of Hunan provincial education department (11A034), the CEEUSRO special plan of Hunan province (2010XK6066) and the aid program for science and technology innovative research team in higher educational institutions of Hunan province， the outstanding master degree thesis cultivation project of Hunan University of science and technology (S110111), are gratefully acknowledged.
Beijing: Metallurgical Industry Press. (1994) [5] Chao Wang, Guoquan Liu, Xiangge Qin, Journal of University of Science and Technology Vol. 35-4(2010), p. 226~229 [6] Jixiang Zhang, Xiaojun Guan, Sheng Sun.
Journal of Shandong University(Engineering Science) Vol. 35-4(2005), p. 1~5 [7] Zhenyu Ma, Yaping,Lu Shushi Jia, Mechanical Science and Technology Vol. 20-4(2001), p. 587-589

Material properties (shear stress and ultimate stress): Material properties are selected from material data base.
And Gyung-Jin P.: Optimization of the structural and process parameters in the sheet metal forming process, Journal of Mechanical Science and Technology. 28(2014)605-619
[5] QiangL., Wenjuan L., Feng R. and Hong yang Q.: Automated optimization in sheet metal forming process parameters, Journal of Materials Processing Technology. 187(2007)159-163
Part 1: feature recognition system, International journal of production research. 47(2009)941-964
[8] Liu Z.L., Wang Y.L., LiY. and XiaoX.Z.: Automatically extracting sheet metal features from solid model, Journal of Zhejing University Science. 11(2004)1456-65

Balasubramaniam: Indian Journal of History of Science Vol. 42.3 (2007) p 493
Wadsworth: Journal of Materials Processing Tech.
Taleff et al.: Materials Characterization Vol. 46 (2001) p 11
Jaikishan: Indian Journal of History of Science Vol. 42.3 (2007) p 461
Maki: Materials Science Forum, Vol. 558-559 (2007) p 23.

Fig. 8 The Graph showing the relationship between Actual Vs Theoretical in Aluminum product Fig. 9 The Graph showing the relationship between Actual Vs Theoretical in Mild Steel product Fig. 10 The Graph showing the relationship between Mild Steel and Aluminum References [1] Daw-Kwei Leu, Chung-Ming Hsieh, The influence of coining force on spring back reduction in V-die bending process, journal of materials processing technology 196 (2008) 230–235
Zimniak, The system for sheet metal forming design of complex parts, Journal of Materials Processing Technology 157–158 (2004) [3] J.
Zimniak, The system for sheet metal forming design of complex parts, Journal of Materials Processing Technology, 157 – 158 (2004) [4] W.M.
Rao, Influence of material properties on sheet metal formability limits, Journal of Materials Processing Technology 48 (1995) 35-41
Gorji, The study of spring-back of CK67 steel sheet in V-die and U-die bending processes, Materials and Design 30 (2009) 2410–2419.

It is combined of two materials, typically metal and ceramic.
Mortensen, Functionally graded materials, London: The Institute of Materials, IOM Communications Ltd., 1998
Journal of Engineering and Applied Science. 2004; 51:543-58
Journal of Mechanics of Materials and Structures. 2014; 9:465–474
Series: Materials Science and Engineering 473 (2019) 012028; doi:10.1088/1757-899X/473/1/012028 [23] Hayder Z.

ACI Materials Journal, Vol. 94, No. 2, March-April, 1997, pp. 142-147. 7 I.
ACI Materials Journal, Vol. 100, No. 4, July-August, 2003, pp. 280-285. 11 S.D.
ACI Materials Journal, Vol. 103, No. 2, March-April, 2006, pp. 121-129. 12 L.
ACI Materials Journal, Vol. 92, No. 5, Sept.
ACI Materials Journal, Vol. 100, No. 4, July-August, 2003, pp. 331-339. 23 S.

Contrast and computational analysis of entity load Material is a key factor which affects service life of rotor system; ANSYS software can simulate different kinds of material in engineering practice by changing attribute set of material.
Acknowledgements This work is supported by Aviation Science Fund Project（2009ZD56007）, Natural Science Foundation of Jiangxi Province (2008GZC0032).
Meng, R Gasch: ASME DE.Vibration of Rotoring System Vol.10 (1993), p.315 [3] K.H.Kim and J.H.Kim: Journal of Sound and Vibration Vol.233 (2000), p.119 [4] X.B.
(Nature Science Edition) Vol.33(2005), p.51.
(in Chinese ) [5] Bo-Wun Huang: International Journal of Mechanical Sciences Vol.48 (2006), p.1