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Evaluation of process parameters for lower surface roughness in wood machining by using Taguchi design methodology

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Abstract

This paper presents a study of the Taguchi design method for obtaining lower surface roughness values in terms of process parameters in wood machining. The process parameters considered were feed rate, cutting depth, number of knives, annual ring (earlywood–latewood) and grit number of abrasive. The settings of the process parameters were determined by using Taguchi experimental design method. Orthogonal arrays of Taguchi and the signal-to-noise (S/N) ratio were employed to find the optimal levels and to analyze the effect of process parameters on surface roughness. In addition, the Pareto ANOVA analysis was used in order to measure the influence of each process parameter on surface roughness. The results of Taguchi analysis revealed that the most significant variable on surface roughness of both beech and spruce woods by S/N ratio analysis and Pareto ANOVA analysis is the grit number of abrasive. It was also understood that the Taguchi design technique is very suitable to solve the surface quality problem regarding machining of wood species.

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References

  • Asilturk I, Akkus H (2011) Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement 44:1697–1704

    Google Scholar 

  • Aslan S, Coskun H, Kılıc M (2008) The Effect of the cutting direction, number of blades and grain size of the abrasives on surface roughness of Toros cedar (Cedrus Libani A. Rich.) woods. Build Environ 43:696–701

    Article  Google Scholar 

  • Bagci E, Aykut S (2006) A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy (stellite 6). Int J Adv Manuf Technol 29:940–947

    Article  Google Scholar 

  • Benardos PG, Vosniakos GC (2002) Prediction of surface roughness in CNC face milling using neural networks and Taguchi’s design of experiments. Robot Comput Integr Manuf 18:343–354

    Article  Google Scholar 

  • Cakıroglu R, Acır A (2013) Optimization of cutting parameters on drill bit temperature in drilling by Taguchi method. Measurement 46:3525–3531

    Article  Google Scholar 

  • Chang CW, Kuo CP (2007) Evaluation of surface roughness in laser-assisted machining of aluminum oxide ceramics with Taguchi method. Int J Mach Tool Manuf 47:141–147

    Article  Google Scholar 

  • Coelho CL, Carvalho LMH, Martins JM, Costa CAV, Masson D, Meausoone PJ (2008) Method for evaluating the influence of wood machining conditions on the objective characterization and subjective perception of a finished surface. Wood Sci Technol 42:181–195

    Article  CAS  Google Scholar 

  • Deng CS, Chin JH (2005) Hole roundness in deep hole drilling as analysed by Taguchi methods. Int J Adv Manuf Technol 25:420–426

    Article  Google Scholar 

  • DIN 4768 (1990) Determination of values of surface roughness parameters Ra, Rz, Rmax using electrical contact (Stylus) instruments. Concepts and measuring conditions. Deutsches Institut für Normung, Berlin

    Google Scholar 

  • Gaitonde VN, Karnik SR, Davim JP (2008) Taguchi multiple-performance characteristics optimization in drilling of medium density fibreboard (MDF) to minimize delamination using utility concept. J Mater Process Tech 196:73–78

    Article  CAS  Google Scholar 

  • Ganta V, Davidson MJ, Tagore GRN (2010) Influence of process parameters on the cup drawing of aluminum 7075sheet. Int J Eng Sci Technol 2:41–49

    Google Scholar 

  • Ghani JA, Choudhury IA, Hassan HH (2004) Application of Taguchi method in the optimization of end milling parameters. J Mater Process Tech 145:84–92

    Article  CAS  Google Scholar 

  • Goyal T, Walia RS, Sidhu TS (2012) Surface roughness optimization of cold-sprayed coatings using Taguchi method. Int J Adv Manuf Technol 60:611–623

    Article  Google Scholar 

  • Gunay M, Yucel E (2013) Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron. Measurement 46:913–919

    Article  Google Scholar 

  • Gurau L, Mansfield-Williams H, Irle M (2005) Processing roughness of sanded wood surfaces. Holz Roh Werkst 63:43–52

    Article  Google Scholar 

  • Gurleyen L (2010) The study for the strain of hardwood materials against machines and cutters in planning process. Sci Res Essays 5:3903–3913

    Google Scholar 

  • Inc MINITAB (2007) MINITAB Statistical Software Release 15 for Windows. Minitab Inc. State College, Pennsylvania

    Google Scholar 

  • Koch P (1964) Wood machining processes. Ronald Press, New York

    Google Scholar 

  • Koch P (1972) Utilization of the Southern pines. Agriculture Handbook No.: 420, Vol. 1, US Department of Agriculture Forest Service

  • Kurt M, Bagci E, Kaynak Y (2009) Application of Taguchi methods in the optimization of cutting parameters for surface finish and hole diameter accuracy in dry drilling progress. Int J Adv Manuf Technol 40:458–469

    Article  Google Scholar 

  • Lu C (2008) Study on prediction of surface quality in machining process. J Mater Process Tech 205:439–450

    Article  Google Scholar 

  • Magoss E (2008) General regularities of wood surface roughness. Acta Silv Lign Hung 4:81–93

    Google Scholar 

  • Nalbant M, Gokkaya H, Sur G (2007) Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Mater Des 28:1379–1385

    Article  CAS  Google Scholar 

  • Ors Y, Baykan I (1999) The effects on the surface roughness of the planing and sanding process of massive wood. Tr J Agric For 23:577–582

    Google Scholar 

  • Packianather MS, Drake PR, Rowlands H (2000) Optimizing the parameters of multilayered feedforward neural networks through Taguchi design of experiments. Qual Reliab Engng Int 16:461–473

    Article  Google Scholar 

  • Palanikumar K (2006) Cutting parameters optimization for surface roughness in machining of GFRP composites using Taguchi’s method. J Reinf Plast Compos 25:1739–1751

    Article  CAS  Google Scholar 

  • Park SH (1996) Parameter design, robust design and analysis for quality engineering. Chapman and Hall, London

    Google Scholar 

  • Phadke SM (1989) Quality engineering using robust design. Prentice Hall, Englewood Cliffs

    Google Scholar 

  • Prakash S, Palanikumar K (2010) Modeling for prediction of surface roughness in drilling MDF panels using response surface methodology. J Compos Mater 45:1639–1646

    Article  Google Scholar 

  • Rajasekaran T, Palanikumar K, Arunachalam S (2013) Investigation on the turning parameters for surface roughness using Taguchi analysis. Procedia Eng 51:781–790

    Article  Google Scholar 

  • Ratnasingam J, Ma TP, Perkins MC (1999) Productivity in wood machining processes—a question of simple economics? Holz Roh Werkst 57:51–56

    Article  Google Scholar 

  • Richter K, Feist WC, Knaebe MT (1995) The effect of surface roughness on the performance of finishes. Forest Prod J 45:91–97

    Google Scholar 

  • Sulaiman O, Rashim R, Subari K, Liang CK (2009) Effect of sanding on surface roughness of rubberwood. J Mater Process Tech 209:3949–3955

    Article  Google Scholar 

  • Sutcu A (2013) Investigation of parameters affecting surface roughness in CNC routing operation on wooden EPG. Bioresources 8:795–805

    Article  CAS  Google Scholar 

  • Taguchi G, Elsayed EA, Hsiang T (1989) Quality engineering in production systems. McGraw-Hill, New York

    Google Scholar 

  • Taguchi G, Chowdhury S, Wu Y (2005) Taguchi’s quality engineering handbook. Wiley, Hoboken

    Google Scholar 

  • Taylor JB, Carrano AL, Lemaster RL (1999) Quantification of process parameters in a wood sanding operation. Forest Prod J 49:41–46

    Google Scholar 

  • TS 642 ISO 554 (1997) Standard atmospheres for conditioning and/or testing; specifications, Ankara

  • Tsao CC, Hocheng H (2008) Evaluation of thrust force and surface roughness in drilling composite material using Taguchi analysis and neural network. J Mater Process Tech 203:342–348

    Article  CAS  Google Scholar 

  • Turkmen I, Gul R, Celik C (2008) A Taguchi approach for investigation of some physical properties of concrete produced from mineral admixtures. Build Environ 43:1127–1137

    Article  Google Scholar 

  • Usta I, Demirci S, Kılıc Y (2007) Comparison of surface roughness of Locust acacia (Robinia pseodoacacia L.) and European oak (Quercus petraea (Mattu.) Lieble.) in terms of the preparative process by planning. Build Environ 42:2988–2992

    Article  Google Scholar 

  • Vankanti VK, Ganta V (2014) Optimization of process parameters in drilling of GFRP composite using Taguchi method. J Mater Res Technol. 3:35–41

    Article  CAS  Google Scholar 

  • Vijian P, Arunachalam VP (2006) Optimization of squeeze cast parameters of LM6 aluminium alloy for surface roughness using Taguchi method. J Mater Process Tech 180:161–166

    Article  CAS  Google Scholar 

  • William D, Morris R (1998) Machining and related mechanical properties of 15 BC wood species. Special Pub. No. SP-39, Forintek Canada Corp., Vancouver

  • Yang WH, Tarng YS (1998) Design optimization of cutting parameters for turning operations based on the Taguchi method. J Mater Process Technol 84:122–129

    Article  Google Scholar 

  • Zhang JZ, Chen JC, Kirby ED (2007) Surface roughness optimization in an end-milling operation using the Taguchi design method. J Mater Process Technol 184:233–239

    Article  CAS  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Forest Industry Engineering, Faculty of Forestry, Karadeniz Technical University, 61080, Trabzon, Turkey

    Sebahattin Tiryaki & Abdulkadir Malkoçoğlu

  2. Department of Industrial Engineering, Faculty of Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey

    Coşkun Hamzaçebi

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  1. Sebahattin Tiryaki
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  2. Coşkun Hamzaçebi
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  3. Abdulkadir Malkoçoğlu
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Correspondence to Sebahattin Tiryaki.

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Tiryaki, S., Hamzaçebi, C. & Malkoçoğlu, A. Evaluation of process parameters for lower surface roughness in wood machining by using Taguchi design methodology. Eur. J. Wood Prod. 73, 537–545 (2015). https://doi.org/10.1007/s00107-015-0917-x

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  • DOI: https://doi.org/10.1007/s00107-015-0917-x

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