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A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic

Yıl 2017, Cilt: 1 Sayı: 2, 47 - 55, 15.06.2017

Ugur Esme

https://doi.org/10.26701/ems.321194
Cited By: 1

Öz

This study focused on the Grey-Based Fuzzy Logic Algorithm for the prediction and optimization of multiple performance characteristics of oblique turning process. Experiments have been constructed according to Taguchi’s L16 orthogonal array design matrix. Cutting speed, rate of feed and depth of cut were selected as input parameters, whereas material removal rate, cutting force and surface roughness were selected as output responses. Using grey relation analysis (GRA), grey relational coefficient (GRC) and grey relation grade (GRG) were obtained. Then, Grey based fuzzy algorithm was applied to obtain grey fuzzy reasoning grade (GFRG). Analysis of variance (ANOVA) carried out to find the significance and contribution of parameters on multiple performance characteristics. Finally, confirmation test was applied at the optimum level of GFRG to validate the results. The results also show the application feasibility of the grey based fuzzy algorithm for continuous improvement in product quality in complex manufacturing processes.

Anahtar Kelimeler

Turning process cutting forces grey relation analysis fuzzy logic algorithm optimization

Kaynakça

  • Yang, W.H. and Tarng, Y.S. (1998). Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of Materials Processing Technology, vol. 84, no. 1, pp. 122-129. 10.1016/S0924-0136(98)00079-X
  • Esme, U. and Serin, H. (2007). A Study for the Optimization of Cutting Forces Based on the Taguchi Method. Çukurova Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 22, no. 1, pp. 1-12.
  • Kazancoglu, Y., Esme, U., Bayramoglu, M., Guven, O., and Ozgun, S. (2011). Multi-Objective Optimization of the Cutting Forces In Turning Operations Using the Grey-Based Taguchi Method Materiali in Tehnologije, vol. 45, no. 2, pp. 105-110.
  • Oxley, P.L.B. (1988). Modelling machining processes with a view to their optimization and to the adaptive control of metal cutting machine tools. Robotics and Computer-Integrated Manufacturing, vol. 4, no. 1, pp. 103-119. 10.1016/0736-5845(88)90065-8
  • Chryssolouris, G. and Guillot, M. (1990). A Comparison of Statistical and AI Approaches to the Selection of Process Parameters in Intelligent Machining. Journal of Engineering for Industry, vol. 112, no. 2, pp. 122-131. 10.1115/1.2899554
  • Yao, Y. and Fang, X.D. (1992). Modelling of multivariate time series for tool wear estimation in finish-turning. International Journal of Machine Tools and Manufacture, vol. 32, no. 4, pp. 495-508. 10.1016/0890-6955(92)90041-E
  • Zhou, C. and Wysk, R.A. (1992). An integrated system for selecting optimum cutting speeds and tool replacement times. International Journal of Machine Tools and Manufacture, vol. 32, no. 5, pp. 695-707. 10.1016/0890-6955(92)90024-B
  • Chua, M.S., Rahman, M., Wong, Y.S., and Loh, H.T. (1993). Determination of optimal cutting conditions using design of experiments and optimization techniques. International Journal of Machine Tools and Manufacture, vol. 33, no. 2, pp. 297-305. 10.1016/0890-6955(93)90081-5
  • Disney, J. and Bendell, T. (1988). The Taguchi Approach to Designing for Reliability. in 10th Advances in Reliability Technology Symposium, G. P. Libberton, Ed. Dordrecht: Springer Netherlands, pp. 328-334.
  • Montgomery, D.C. (2008). Design and analysis of experiments. John Wiley & Sons.
  • Datta, S., Bandyopadhyay, A., and Pal, P.K. (2008). Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding. The International Journal of Advanced Manufacturing Technology, vol. 39, no. 11, pp. 1136-1143. 10.1007/s00170-007-1283-6
  • Esme, U., Bayramoglu, M., Kazancoglu, Y., and Ozgun, S. (2009). Optimization of weld bead geometry in TIG welding process using grey relation analysis and Taguchi method. Materiali in tehnologije, vol. 43, no. 3, pp. 143-149.
  • Esme, U., Kulekci, M.K., Ustun, D., Kahraman, F., and Kazancoglu, Y. (2015). Grey-based fuzzy algorithm for the optimization of the ball burnishing process. Materials Testing, vol. 57, no. 8, pp. 666-673. 10.3139/120.110763
  • Pandey, R.K. and Panda, S.S. (2014). Optimization of bone drilling parameters using grey-based fuzzy algorithm. Measurement, vol. 47, pp. 386-392. 10.1016/j.measurement.2013.09.007
  • Lin, C.L. (2004). Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics. Materials and Manufacturing Processes, vol. 19, no. 2, pp. 209-220. 10.1081/AMP-120029852
  • Yang, Y.-S. and Huang, W. (2012). A grey-fuzzy Taguchi approach for optimizing multi-objective properties of zirconium-containing diamond-like carbon coatings. Expert Systems with Applications, vol. 39, no. 1, pp. 743-750. 10.1016/j.eswa.2011.07.067
  • Esme, U. (2010). Use of grey based Taguchi method in ball burnishing process for the optimization of surface roughness and microhardness of AA 7075 aluminum alloy. Materiali in tehnologije, vol. 44, no. 3, pp. 129-135.
  • Hsiao, Y.F., Tarng, Y.S., and Huang, W.J. (2007). Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis. Materials and Manufacturing Processes, vol. 23, no. 1, pp. 51-58. 10.1080/10426910701524527
  • Lim, S.-H., Lee, C.-M., and Chung, W.J. (2006). A study on the optimal cutting condition of a high speed feeding type laser cutting machine by using Taguchi method. International journal of precision engineering and manufacturing, vol. 7, no. 1, pp. 18-23.
  • Kulekci, M.K., Esme, U., Ocalir, S., Ustun, D., and Kazancoglu, Y. (2016). Tensile shear strength and elongation of FSW parts predicted by Taguchi-based fuzzy logic. Materials Testing, vol. 58, no. 4, pp. 351-356. 10.3139/120.110856
  • Zadeh, L.A. (1965). Fuzzy sets. Information and Control, vol. 8, no. 3, pp. 338-353. 10.1016/S0019-9958(65)90241-X
  • Pattnaik, S., Karunakar, D.B., and Jha, P.K. (2013). Multi-characteristic optimization of wax patterns in the investment casting process using grey–fuzzy logic. The International Journal of Advanced Manufacturing Technology, journal article vol. 67, no. 5, pp. 1577-1587. 10.1007/s00170-012-4591-4
  • Li, F.L., Xia, W., Zhou, Z.Y., Zhao, J., and Tang, Z.Q. (2012). Analytical prediction and experimental verification of surface roughness during the burnishing process. International Journal of Machine Tools and Manufacture, vol. 62, pp. 67-75. 10.1016/j.ijmachtools.2012.06.001
  • Sagbas, A. (2011). Analysis and optimization of surface roughness in the ball burnishing process using response surface methodology and desirabilty function. Advances in Engineering Software, vol. 42, no. 11, pp. 992-998. 10.1016/j.advengsoft.2011.05.021
  • Liu, N.-M., Horng, J.-T., and Chiang, K.-T. (2009). The method of grey-fuzzy logic for optimizing multi-response problems during the manufacturing process: a case study of the light guide plate printing process. The International Journal of Advanced Manufacturing Technology, journal article vol. 41, no. 1, pp. 200-210. 10.1007/s00170-008-1448-y
  • Ahilan, C., Kumanan, S., and Sivakumaran, N. (2009). Multi-objective optimisation of CNC turning process using grey based fuzzy logic. International Journal of Machining and Machinability of Materials, vol. 5, no. 4, pp. 434-451. 10.1504/ijmmm.2009.026902
  • Krishnamoorthy, A., Rajendra Boopathy, S., Palanikumar, K., and Paulo Davim, J. (2012). Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics. Measurement, vol. 45, no. 5, pp. 1286-1296. 10.1016/j.measurement.2012.01.008
  • Chiang, K.-T. and Chang, F.-P. (2006). Application of grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell feature. International Communications in Heat and Mass Transfer, vol. 33, no. 1, pp. 94-101. 10.1016/j.icheatmasstransfer.2005.08.006
  • Jean, M.-D., Lin, B.-T., and Chou, J.-H. (2006). Design of a fuzzy logic approach for optimization reinforced zirconia depositions using plasma sprayings. Surface and Coatings Technology, vol. 201, no. 6, pp. 3129-3138. 10.1016/j.surfcoat.2006.06.056

Yıl 2017, Cilt: 1 Sayı: 2, 47 - 55, 15.06.2017

Ugur Esme

https://doi.org/10.26701/ems.321194
Cited By: 1

Öz

Kaynakça

  • Yang, W.H. and Tarng, Y.S. (1998). Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of Materials Processing Technology, vol. 84, no. 1, pp. 122-129. 10.1016/S0924-0136(98)00079-X
  • Esme, U. and Serin, H. (2007). A Study for the Optimization of Cutting Forces Based on the Taguchi Method. Çukurova Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 22, no. 1, pp. 1-12.
  • Kazancoglu, Y., Esme, U., Bayramoglu, M., Guven, O., and Ozgun, S. (2011). Multi-Objective Optimization of the Cutting Forces In Turning Operations Using the Grey-Based Taguchi Method Materiali in Tehnologije, vol. 45, no. 2, pp. 105-110.
  • Oxley, P.L.B. (1988). Modelling machining processes with a view to their optimization and to the adaptive control of metal cutting machine tools. Robotics and Computer-Integrated Manufacturing, vol. 4, no. 1, pp. 103-119. 10.1016/0736-5845(88)90065-8
  • Chryssolouris, G. and Guillot, M. (1990). A Comparison of Statistical and AI Approaches to the Selection of Process Parameters in Intelligent Machining. Journal of Engineering for Industry, vol. 112, no. 2, pp. 122-131. 10.1115/1.2899554
  • Yao, Y. and Fang, X.D. (1992). Modelling of multivariate time series for tool wear estimation in finish-turning. International Journal of Machine Tools and Manufacture, vol. 32, no. 4, pp. 495-508. 10.1016/0890-6955(92)90041-E
  • Zhou, C. and Wysk, R.A. (1992). An integrated system for selecting optimum cutting speeds and tool replacement times. International Journal of Machine Tools and Manufacture, vol. 32, no. 5, pp. 695-707. 10.1016/0890-6955(92)90024-B
  • Chua, M.S., Rahman, M., Wong, Y.S., and Loh, H.T. (1993). Determination of optimal cutting conditions using design of experiments and optimization techniques. International Journal of Machine Tools and Manufacture, vol. 33, no. 2, pp. 297-305. 10.1016/0890-6955(93)90081-5
  • Disney, J. and Bendell, T. (1988). The Taguchi Approach to Designing for Reliability. in 10th Advances in Reliability Technology Symposium, G. P. Libberton, Ed. Dordrecht: Springer Netherlands, pp. 328-334.
  • Montgomery, D.C. (2008). Design and analysis of experiments. John Wiley & Sons.
  • Datta, S., Bandyopadhyay, A., and Pal, P.K. (2008). Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding. The International Journal of Advanced Manufacturing Technology, vol. 39, no. 11, pp. 1136-1143. 10.1007/s00170-007-1283-6
  • Esme, U., Bayramoglu, M., Kazancoglu, Y., and Ozgun, S. (2009). Optimization of weld bead geometry in TIG welding process using grey relation analysis and Taguchi method. Materiali in tehnologije, vol. 43, no. 3, pp. 143-149.
  • Esme, U., Kulekci, M.K., Ustun, D., Kahraman, F., and Kazancoglu, Y. (2015). Grey-based fuzzy algorithm for the optimization of the ball burnishing process. Materials Testing, vol. 57, no. 8, pp. 666-673. 10.3139/120.110763
  • Pandey, R.K. and Panda, S.S. (2014). Optimization of bone drilling parameters using grey-based fuzzy algorithm. Measurement, vol. 47, pp. 386-392. 10.1016/j.measurement.2013.09.007
  • Lin, C.L. (2004). Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics. Materials and Manufacturing Processes, vol. 19, no. 2, pp. 209-220. 10.1081/AMP-120029852
  • Yang, Y.-S. and Huang, W. (2012). A grey-fuzzy Taguchi approach for optimizing multi-objective properties of zirconium-containing diamond-like carbon coatings. Expert Systems with Applications, vol. 39, no. 1, pp. 743-750. 10.1016/j.eswa.2011.07.067
  • Esme, U. (2010). Use of grey based Taguchi method in ball burnishing process for the optimization of surface roughness and microhardness of AA 7075 aluminum alloy. Materiali in tehnologije, vol. 44, no. 3, pp. 129-135.
  • Hsiao, Y.F., Tarng, Y.S., and Huang, W.J. (2007). Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis. Materials and Manufacturing Processes, vol. 23, no. 1, pp. 51-58. 10.1080/10426910701524527
  • Lim, S.-H., Lee, C.-M., and Chung, W.J. (2006). A study on the optimal cutting condition of a high speed feeding type laser cutting machine by using Taguchi method. International journal of precision engineering and manufacturing, vol. 7, no. 1, pp. 18-23.
  • Kulekci, M.K., Esme, U., Ocalir, S., Ustun, D., and Kazancoglu, Y. (2016). Tensile shear strength and elongation of FSW parts predicted by Taguchi-based fuzzy logic. Materials Testing, vol. 58, no. 4, pp. 351-356. 10.3139/120.110856
  • Zadeh, L.A. (1965). Fuzzy sets. Information and Control, vol. 8, no. 3, pp. 338-353. 10.1016/S0019-9958(65)90241-X
  • Pattnaik, S., Karunakar, D.B., and Jha, P.K. (2013). Multi-characteristic optimization of wax patterns in the investment casting process using grey–fuzzy logic. The International Journal of Advanced Manufacturing Technology, journal article vol. 67, no. 5, pp. 1577-1587. 10.1007/s00170-012-4591-4
  • Li, F.L., Xia, W., Zhou, Z.Y., Zhao, J., and Tang, Z.Q. (2012). Analytical prediction and experimental verification of surface roughness during the burnishing process. International Journal of Machine Tools and Manufacture, vol. 62, pp. 67-75. 10.1016/j.ijmachtools.2012.06.001
  • Sagbas, A. (2011). Analysis and optimization of surface roughness in the ball burnishing process using response surface methodology and desirabilty function. Advances in Engineering Software, vol. 42, no. 11, pp. 992-998. 10.1016/j.advengsoft.2011.05.021
  • Liu, N.-M., Horng, J.-T., and Chiang, K.-T. (2009). The method of grey-fuzzy logic for optimizing multi-response problems during the manufacturing process: a case study of the light guide plate printing process. The International Journal of Advanced Manufacturing Technology, journal article vol. 41, no. 1, pp. 200-210. 10.1007/s00170-008-1448-y
  • Ahilan, C., Kumanan, S., and Sivakumaran, N. (2009). Multi-objective optimisation of CNC turning process using grey based fuzzy logic. International Journal of Machining and Machinability of Materials, vol. 5, no. 4, pp. 434-451. 10.1504/ijmmm.2009.026902
  • Krishnamoorthy, A., Rajendra Boopathy, S., Palanikumar, K., and Paulo Davim, J. (2012). Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics. Measurement, vol. 45, no. 5, pp. 1286-1296. 10.1016/j.measurement.2012.01.008
  • Chiang, K.-T. and Chang, F.-P. (2006). Application of grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell feature. International Communications in Heat and Mass Transfer, vol. 33, no. 1, pp. 94-101. 10.1016/j.icheatmasstransfer.2005.08.006
  • Jean, M.-D., Lin, B.-T., and Chou, J.-H. (2006). Design of a fuzzy logic approach for optimization reinforced zirconia depositions using plasma sprayings. Surface and Coatings Technology, vol. 201, no. 6, pp. 3129-3138. 10.1016/j.surfcoat.2006.06.056
Toplam 29 adet kaynakça vardır.

Ayrıntılar

Konular Makine Mühendisliği
Bölüm Research Article
Yazarlar

Ugur Esme

Yayımlanma Tarihi 15 Haziran 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 1 Sayı: 2

Kaynak Göster

APA Esme, U. (2017). A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic. European Mechanical Science, 1(2), 47-55. https://doi.org/10.26701/ems.321194
AMA Esme U. A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic. EMS. Haziran 2017;1(2):47-55. doi:10.26701/ems.321194
Chicago Esme, Ugur. “A Hybrid Approach for the Prediction and Optimization of Cutting Forces Using Grey-Based Fuzzy Logic”. European Mechanical Science 1, sy. 2 (Haziran 2017): 47-55. https://doi.org/10.26701/ems.321194.
EndNote Esme U (01 Haziran 2017) A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic. European Mechanical Science 1 2 47–55.
IEEE U. Esme, “A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic”, EMS, c. 1, sy. 2, ss. 47–55, 2017, doi: 10.26701/ems.321194.
ISNAD Esme, Ugur. “A Hybrid Approach for the Prediction and Optimization of Cutting Forces Using Grey-Based Fuzzy Logic”. European Mechanical Science 1/2 (Haziran 2017), 47-55. https://doi.org/10.26701/ems.321194.
JAMA Esme U. A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic. EMS. 2017;1:47–55.
MLA Esme, Ugur. “A Hybrid Approach for the Prediction and Optimization of Cutting Forces Using Grey-Based Fuzzy Logic”. European Mechanical Science, c. 1, sy. 2, 2017, ss. 47-55, doi:10.26701/ems.321194.
Vancouver Esme U. A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic. EMS. 2017;1(2):47-55.

Cited By

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