ANFIS Modeling of Delamination During Drilling of Medium Density Fiber (MDF) Board

Published Date
2014, Vol.97:258–266, doi:10.1016/j.proeng.2014.12.249
"12th Global Congress on Manufacturing and Management" GCMM - 2014

Open Access, Creative Commons license

Author 

S. Prakash ^a,,

J. Lilly Mercy ^b

Putti Venkata Siva Teja ^c

P. Vijayalakshmi ^c

aProfessor, Department of Mechanical and Production Engineering, Sathyabama University, Chennai, 600119, India

bAssistant Professor, Department of Mechanical and Production Engineering, Sathyabama University, Chennai, 600119, India

cPG Student, Department of Mechanical and Production Engineering, Sathyabama University, Chennai, 600119, India

Available online 30 December 2014. 

Abstract

Medium density fiber board (MDF) is an engineered wood product which possesses medium density than normal wood and is widely applicable in interior and exterior applications in industries. Normally in drilling process the materials reduce their performance due to delamination. The objective of this paper is to estimate delamination effect on MDF board. The modeling was done using ANFIS tool box of MATLAB. The experiment was done by giving the input parameters- speed, feed rate, drill diameter for which the output response taken was delamination. Root mean square error for different membership functions of delamination was obtained and the effect of speed, feed rate and drill diameter was studied.

Keywords

Medium Density Fiber Board (MDF)

Delamination

Adaptive Neuro Fuzzy Interference System (ANFIS)

Modeling

Drilling

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References

1. • [1]
   • Singh. I, Bhatnagar. N, Viswanath. P, “Drilling of uni-directional glass fiber reinforced plastics: Experimental and finite element study”, Journal of Materials and Desig, vol. 29, 2008, pp. 546-553 (2008).
2. • [2]
   • C.C. Tsao, H. Hochen, “Evaluation of thrust force and surface roughness in drilling composite material using Taguchi analysis and neural network”, Journal of materials processing technology, Vol 2 0 3, 342-348, (2008).
3. • [3]
   • S. Prakash, K. Palanikumar, N. Manoharan “Optimization of delamination factor in drilling medium-density fiberboards (MDF) using desirability-based approach” Int J Adv Manuf Technol, 45:370-381 DOI 10 1007/s00170-009-1974-2, (2009).
4. • [4]
   • P. P. Camanho, C.G. D’AVILA, M.F. DE MOURA “Numerical Simulation of Mixed-mode Progressive Delamination in Composite Materials” Journal of composite materials, Vol. 37, No. 16/2003, (2003).
5. • [5]
   • Whitney, J.M. and Nuismer, R.J, “Stress Fracture Criteria for Laminated Composites Containing Stress Concentrations”, Journal of Composite .Materials, 8: 253-265, (1974).
6. • [6]
   • Benzeggagh, M.L., Kenane, M., “Measurement of mixedmode delamination fracture toughness of unidirectional glass/epoxy composites with .mixed-mode bending apparatus” Compos. Sci. Technol. 49, 439-449, (1996).
7. • [7]
   • Khairur Rijal Jamaludin, Mohd Shahriman Adenan, Mohd Yusof Md Daud, Norazmein Abd Raman “Delaminating Control on Drilling the Medium Density Fiber Board with Robust Optimization” Jurnal Teknologi (Sciences & Engineering) 59 Suppl 1, 99-103, (2012).
8. • [8]
   • Jyh-Shing R. J., “ANFIS : Adaptive-network-based fuzzy inference system,” IEEE Transactions on systems, man, and cybernetics, vol. 23. No.3, pp. 665-685, (1993).
9. • [9]
   • Piero P. B., “Adaptive neural fuzzy inference systems (ANFIS): Analysis and applications.” Lecture notes, (2000).
10. • [10]
    • Jang J.S., Sun C.T., Mizutani E., “Neuro-Fuzzy and Soft Computing A computational approach to learning and machine intelligence” .Prentice-Hall, Inc., Upper Saddle River, New Jersey, (1997).
11. • [11]
    • Lilly Mercy J, Prakash S, “Adaptive Neuro Fuzzy Inference System(ANFIS) modeling of thrust force in drilling particle board composites”. International journal on design and manufacturing technology, vol 6 No. 1 2012 (2012).

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  Selection and peer-review under responsibility of the Organizing Committee of GCMM 2014.

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