Determination of the impact damage threshold point of the composite material usıng fuzzy-based taguchi method

Keywords: Low velocity impact, Composite material, Fuzzy Based Taguchi Method (FBTM), Finite element analyses


In this study, the impact damage threshold point of the composite material was determined using the optimum design parameters obtained from Fuzzy Based Taguchi Method (FBTM). It is known that both Taguchi and Fuzzy methods provide optimization of design parameters yet, in Taguchi method, optimization of design parameters is not sufficient in order to solve multi response optimization problem. Therefore, Fuzzy Logic system was combined with the Taguchi system for working out the multi response optimization problem. In this study, the low velocity impact damage analyses were implemented in a LS-DYNA 3D explicit finite element program. ASTM D7136/D7136M standard was considered during the low velocity impact analyses. In explicit finite element analyses, contact algorithms were executed to observe better damage zone shapes. Furthermore, the control parameters (termination and computation time step) were tuned to provide perfect correlation with the force-energy-time histories. Eventually, it was seen that Fuzzy Based Taguchi Method (FBTM) is much more capable of optimizing the design parameters that predict the impact damage threshold point of the composite material.


Mathivanan, R.N. & Jerald, J. 2010. Experimental ınvestigation of woven e-glass epoxy composite laminates subjected to low-velocity ımpact at different energy levels. The Journal of Minerals and Materials Characterization and Engineering. 9 (7) : 643-652.

Nguyen, M.Q., Jacombs ,S.S., Thomson, R.S., Hachenberg, D. & Scott, M.L. 2005. Simulation of impact on sandwich structures. Composite Structure. 67: 217–227.

Aktay, L., Johnson, A.F. & Holzapfel, M. 2005. Prediction of impact damage on sandwich composite panels. Computational Materials Science. 32:252–260.

Farnam, Y., Mohammadi, S. & Shekarchi ,M. 2010. Experimental and numerical investigations of low velocity impact behavior of high-performance fiber-reinforced cement based composite. International Journal of Impact Engineering. 37: 220–229.

Gower, H.L., Cronin, D.S. & Plumtree, A. 2008. Ballistic impact response of laminated composite panels. International Journal of Impact Engineering. 35: 1000–1008.

Faggiani, A. & Falzon, B.G. 2010. Predicting low-velocity impact damage on a stiffened composite panel. Composites Part A. 41: 737–749.

Hosseinzadeh, R., Shokrieh, M.M. & Lessard, L. 2006. Damage behavior of fiber reinforced composite plates subjected to drop weight impacts. Composite Science and Technology. 66:61–68.

Aslan, Z., Karakuzu, R. & Okutan, B. 2003. The response of laminated composite plates under low-velocity impact loading. Composite Structure. 59:119–127.

Zhang, X., Hounslow, L. & Grassi, M. 2006. Improvement of low-velocity impact and compression-after-impact performance by z-fibre pinning. Composite Science and Technology. 66:2785–2794.

Sutono, S. B., Abdul-Rashid, S. H., Aoyama, H. & Taha, Z. 2016. Fuzzy-based taguchi method for multi-response optimization of product form design in kansei engineering: a case study on car form design. Journal of Advanced Mechanical Design, Systems and Manufacturing. 10 (9): 1-16.

Nagaraju, N., Venkatesu ,S. & Ujwala, N.G. 2018. Optimization of Process Parameters of EDM Process Using Fuzzy Logic and Taguchi Methods for Improving Material Removal Rate and Surface Finish. Materials Today: Proceedings.5: 7420–7428.

Gupta, A., Singh, H. & Aggarwal, A. 2011. Taguchi-fuzzy multi output optimization (MOO) in high speed CNC turning of AISI P-20 tool steel. Expert Systems with Applications. 38 (6): 6822–6828.

Lin B. T. & Kuo, C. C. 2011. Application of the fuzzy-based taguchi method for the structural design of drawing dies. International Journal of Advanced Manufacturing Technology. 55(1–4): 83–93.

Hsiang, S. H., Lin, Y. W. & Lai, J. W. 2012. Application of fuzzy-based taguchi method to the optimization of extrusion of magnesium alloy bicycle carriers. Journal of Intelligent Manufacturing. 23 (3): 629–638.

Hwang, C.C., Chang, C. M. & Liu, C. T. 2013. A fuzzy-based taguchi method for multi objective design of PM motors. IEEE Transactions on Magnetics. 49 (5): 2153 – 2156.

Nostrand, R.C.V. 2012. Design of experiments using the taguchi approach: 16 steps to product and process improvement. Technometrics. 44 (3): 289.

LS-DYNA keyword user’s manual, version 971., Livermore, CA: Livermore Software Technology Corporation; 2007.

Vaidyaa, U. K., Gautama, A.R.S., Hosurb, M. & Duttac, P. 2006. Experimental–numerical studies of transverse impact response of adhesively bonded lap joints in composite structures. Internatioanl Journal of Adhesion and Adhesive. 26: 184–198.

Brewer, J.C. & Lagace, P. A. 1988. Quadratic stress criterion for initiation of delamination. Journal of Composite Material. 22:1141-1155.

Hou, J.P., Petrinic, N. & Ruiz, C. 2001. A delamination criterion for laminated composites under low-velocity impact. Composite Science and Technology. 61: 2069–2074.

Ramaiah, P.V., Rajesh, N. & Reddy, K. D. 2013. Determination of optimum influential parameters in turning of Al6061 using fuzzy logic. International Journal of Innovative Research in Science Engineering and Technology. 2 (10) : 5555-5560.

Liang, S., Guillaumat, L. & Gning, P. B. 2015. Impact behaviour of flax/epoxy composite plates. International Journal of Impact Engineering. 80 :56-64.

Industrial Engineering