Key Technologies for Adaptive Change Design of Armored Vehicle in Response to Complex Environment

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Abstract:

Quickly recovering and securing the advanced vehicle performance by changing structures, upgrading equipment become a key point to win the modern war. The armored vehicle is a complicated coupling system and the structure components are closely connected. Thus the change design is a complicated coupling system design problem. We provide the-state-of-art of the change design in response to environmental changes, and discuss the key technologies of armored vehicle adaptive change design responding to complex environment (AVACDCE). We also discuss design strategies and principles, change design decision and environmental adaptability evaluation, structural conflict elimination, performance optimization and layout optimization design in the limited space, and interface and assembly. In additional, we provide the design flow of the AVACDCE. Our studies can provide support for the armored vehicle adaptive change design responding to the complicated environment.

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Advanced Materials Research (Volumes 926-930)

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1724-1728

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.F. Zhao, Q.X. Zhang and H.T. Wang: Machinery Design and Manufacture, Vol. 1 (2011), pp.78-80.

Google Scholar

[2] M. Mao and B.W. Pang: Vehicles and Power Technology, Vol. 3 (2012), pp.51-55.

Google Scholar

[3] A.K. Mahalanabis: Introductory system engineering (New York, Wiley, USA 1982).

Google Scholar

[4] Y. E. Kalay: Performance-based design, Automation in Construction, Vol. 8 (1999) No. 4, pp.395-409.

Google Scholar

[5] G. Taguchi, E. Elsayed and T. Hsiang: Quality engineering in production systems (New York: McGraw-Hill College, USA 1989).

Google Scholar

[6] P. Gu, M. Hashemian and A.Y.C. Nee: Adaptable Design, GIRP Annals-Manufacturing Technology, Vol. 53 (2004) No. 2, pp.539-557.

DOI: 10.1016/s0007-8506(07)60028-6

Google Scholar

[7] E. Fricke and A.P. Schulz: Systems Engineering, Vol. 8 (2005) No. 4.

Google Scholar

[8] N.C. Jordan, J.H. Saleh and D.J. Newman: Acta Austronautica, Vol. 59 (2006) No. 12, pp.1135-1145.

Google Scholar

[9] J.H. Saleh, D.E. Hastings and D.J. Newman: Acta Austronautica, Vol. 53 (2003) No. 12, pp.927-944.

Google Scholar

[10] E.S. Suh, O. De Weck and I.Y. Kim: Journal of Intelligent Manufacturing, Vol. 18 (2007) No. 1, pp.115-126.

Google Scholar

[11] H.F. Zhang, J.R. Tan, Y.X. Feng and Z.Y. Liu: China Mechanical Engineering, Vol. 18 (2007), No. 18, pp.2227-2232.

Google Scholar

[12] X. Han, Z.Q. Han and S.J. Dou: Test Technology and Equipment, Vol. 8 (2004), pp.64-67.

Google Scholar

[13] G.L. Kan and G.Z. Ji: Test Technology and Equipment, Vol. 5 (2008), No. 6, pp.68-70.

Google Scholar

[14] G. Altshuller: The Innovation Algorithm, TRIZ, Systematic Innovation and Technical Creativity (Worcester Technical Innovation Center, INC, 1999).

Google Scholar

[15] H, F, Teng, Y.S. Wang and Y.J. Shi: Chinese Journal of mechanical engineering, Vol, 42 (2006) No. 11, pp.1-8.

Google Scholar

[16] M. Wen and Z.L. Gu. Optimum Design of the Hybrid Electric Drive System for Armored Vehicle, Vehicle and power technology, Vol. 2 (2004), pp.38-40.

Google Scholar