Abstract
A tactical vehicle should have air transportability for rapid attack and should satisfy its basic role for ground transportation. Airlift provision must be developed for aerial transportation of tactical vehicles by helicopter. The design points of front and rear lifting devices should be constructed, and the sling loads should be calculated according to various flight conditions to maintain a stable position in the air transportation of a military vehicle. The sling loads that act on the design points of airlift provision can be calculated by the analytic method defined in MIL-STD-209K. However, the actual sling loads could be different from theoretical sling loads due to vehicle specification, airlifting mechanism, and flight environment. Therefore, a virtual analysis environment for the development of airlift devices should be constructed. To establish an optimal design of airlift provision, accurate sling loads should be calculated through flight simulation, and the base model of airlift provision should be constructed based on calculated loads. In this study, we proposed an integrated process for the selection of design parameters, design of experiment, and approximate optimal design of a Korean light tactical vehicle with lightweight airlift provision.
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References
K. H. Suh and B. G. Song, Light-weight design of a Korean light tactical vehicle using optimization technique, Transactions of Korean Society of Automotive Engineers, 23 (3) (2015) 336–343.
K. H. Suh, B. G. Song and H. S. Yoon, Analytical method to develop airlift provision for Korean light tactical vehicle, Journal of Mechanical Science and Technology, 30 (3) (2016) 1265–1270.
K. H. Suh and H. S. Yoon, Numerical investigations of the crosswind stability of the Korean light tactical vehicle during airlift, Journal of Mechanical Science and Technology, 31 (3) (2017) 1067–1072.
B. L. Choi, D. H. Choi, H. Kim and H. Lee, An integrated chassis design procedure using the PIDO technology, SAE Technical Paper, 2008-01-0884 (2008).
A. Gauchia, V. Diaz, M. J. L. Boada and B. L. Boada, Torsional stiffness and weight optimization of a real bus structure, International Journal of Automotive Technology, 11 (1) (2010) 41–47.
M. Sithik, R. Vallurupalli, B. Lin and S. Sudalaimuthu, Simplified approach of chassis frame optimization for durability performance, SAE Technical Paper, 2014-01-0399 (2014).
J. H. Park, K. J. Kim, J. W. Lee and J. K. Yoon, Lightweight design of automotive suspension link based on design of experiment, International Journal of Automotive Technology, 16 (1) (2015) 67–71.
W. Chen and W. Zuo, Component sensitivity analysis of conceptual vehicle body for lightweight design under static and dynamic stiffness demands, Int. J. Vehicle Design, 66 (2) (2014) 107–123.
T. W. Simpson, V. Toropov, V. Balabanov and F. A. C. Viana, Design and analysis of computer experiments in multidisciplinary design optimization: A review of how far we have come-or not, 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2008) 5802–5823.
A. I. J. Forrester and A. J. Keane, Recent advances in surrogate-based optimization, Progress in Aerospace Sciences, 45 (1) (2009) 50–79.
K. Elsayed and C. Lacor, Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques, Applied Mathematics and Computation, 236 (2014) 325–344.
C. Li and I. Y. Kim, Lightweight optimal design of a rear bumper system based on surrogate models, SAE Technical Paper, 2015-01-1362 (2015).
W. Wang, J. Pei, S. Yuan, J. Zhang, J. Yuan and C. Xu, Application of different surrogate models on the optimization of centrifugal pump, Journal of Mechanical Science and Technology, 30 (2) (2016) 567–574.
I. Y. Cho, Y. B. Lee, D. H. Ryu and D. H. Choi, Comparison study of sampling methods for computer experiments using various performance measures, Struct. Multidisc Optim., 55 (2017) 221–235.
B. C. Song, Y. C. Park, S. W. Kang and K. H. Lee, Structural optimization of an upper control arm, considering the strength, Proc. IMechE Part D: J. Automobile Engineering, 223 (2009) 727–735.
M. S. Kim, D. O. Kang and S. J. Heo, Innovative design optimization strategy for the automotive industry, International Journal of Automotive Technology, 15 (2) (2014) 291–301.
G. J. Kang, C. H. Park and D. H. Choi, Metamodel-based design optimization of injection molding process variables and gates of an automotive glove box for enhancing its quality, Journal of Mechanical Science and Technology, 30 (4) (2016) 1723–1732.
C. Q. Wang, D. F. Wang and S. Zhang, Design and application of lightweight multi-objective collaborative optimization for a parametric body-in-white structure, Proc. IMechE Part D: J Automobile Engineering, 230 (2) (2016) 273–288.
J. P. C. Kleijnen, Regression and Kriging metamodels with their experimental designs in simulation: A review, European Journal of Operational Research, 256 (2017) 1–16.
J. K. Kim, Y. J. Kim, W. H. Yang, Y. C. Park and K. H. Lee, Structural design of an outer tie rod for a passenger car, International Journal of Automotive Technology, 12 (3) (2011) 375–381.
J. Fang, Y. Gao, G. Sun, C. Xu and Q. Li, Fatigue optimization with combined ensembles of surrogate modeling for a truck cab, Journal of Mechanical Science and Technology, 28 (11) (2014) 4641–4649.
M. Zhang, W. Gou, L. Li, F. Yang and Z. Yue, Multidisciplinary design and multi-objective optimization on guide fins of twin-web disk using Kriging surrogate model, Struct Multidisc Optim., 55 (2017) 361–373.
H. P. Panganiban, W. C. Kim, T. J. Chung and G. W. Jang, Optimization of flatbed trailer frame using the ground beam structure approach, Journal of Mechanical Science and Technology, 30 (5) (2016) 2083–2091.
M. Grujicic, G. Arakere, W. C. Bell, H. Marvi, H. V. Yalavarthy, B. Pandurangan, I. Haque and G. M. Fadel, Reliability-based design optimization for durability of ground vehicle suspension system components, Journal of Materials Engineering and Performance, 19 (3) (2010) 301–313.
R. Mohan, V. HariRam and M. Subramanian, New mass optimization technique to achieve low mass BIW designs using optimal material layout methodology on the frontal vehicle crash, Journal of Mechanical Science and Technology, 30 (12) (2016) 5617–5623.
M. Bakhtiarinejad, S. B. Lee and J. Joo, Component allocation and supporting frame topology optimization using global search algorithm and morphing mesh, Struct. Multidisc Optim., 55 (2017) 297–315.
N. Hansen and A. Ostermeier, Completely derandomized self-adaptation in evolution strategies, Evolutionary Computation, 9 (2) (2001) 159–195.
C. Igel, N. Hansen and S. Roth, Covariance matrix adaptation for multi-objective optimization, Evolutionary Computation, 15 (1) (2007) 1–28.
PIDOTECH Inc., Practical design techniques theory manual, Seoul, S. Korea (2017).
HyperWorks, http://www.altairhyperworks.com/, Altair Engineering Inc.
Dassault Systèmes Simulia Corp., ABAQUS Analysis User’s Manual 6.11, Providence, RI, USA (2011).
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Kwonhee Suh received his B.S. degree in Mechanical Design Engineering and his M.S. degree in Mechanical Engineering from Chonnam National University, Korea, in 1993 and 1995, respectively. He is a Senior Research Engineer for Kia Motors Corporation. His research interests include durability evaluation and vehicle dynamic analysis of military vehicles.
Hiseak Yoon received his B.S. in Mechanical Engineering from Seoul National University, Korea, in 1978, and his M.S. and Ph.D. in Mechanical Engineering from the University of Delaware, USA, in 1984 and 1987, respectively. He is a Professor at the School of Mechanical Engineering at Chonnam National University, Korea. His research interests include the mechanics of composite material and mechanical behavior of materials.
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Suh, K., Yoon, H. Lightweight design of airlift provision for Korean light tactical vehicle using approximate optimization. J Mech Sci Technol 31, 5929–5936 (2017). https://doi.org/10.1007/s12206-017-1137-6
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DOI: https://doi.org/10.1007/s12206-017-1137-6