Buradasınız

Anasayfa » Content

Mermer Kesme isleminde Spesifik Enerji Faktorunun ANFIS ve YSA Yontemleri ile Tahmini

Estimation of Specific Energy Factor in Marble Cutting Process Using ANFIS and ANN

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 2009

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In this study, effect of the marble cutting parameters on energy consumption was estimated by using Artificial Neural Network and ANFIS. In both of these estimation methods, marble's hardness, speed of circular saw rotation and cutting speed parameters were used as inputs, specific energy factor, cutting energy in per unit volume was taken as output. The data for training networks were taken from a PC based block cutter machine (S/T) with circular diamond saw blade at Afyon Kocatepe University Labs. These data are cutting parameters of "Denizli Travertine" and "Bilecik Beige" type marbles. Some of these data were used for training and then all data were used for testing stage of the networks. To show the effectiveness of the study, estimated data were compared with experimental data. As conclusion, it was reported that estimated data were quite close to experimental result.
Bookmark/Search this post with
Abstract (Original Language): 
Bu gali§mada, mermer kesme parametrelerinin enerji tuketimine etkisi, Yapay Sinir Aglari ve ANFIS kullanilarak tahmin edilmi§tir. Tahmin metotlarinda giri§ olarak mermerin sertligi, testere donu§ hizi ve kesme hizi parametreleri kullanilmi§ ve birim hacim ba§ina harcanan kesme enerjisinin bir ifadesi olan spesifik enerji faktoru giki§ olarak alinmi§tir. Aglarin egitimi igin kullanilan veriler, Afyon Kocatepe Universitesi laboratuarlarinda bulunan, mermer kesilebilirlik analizleri igin geli§tirilmi§, bilgisayar tabanli, dairesel testereli blok kesme (S/T) makinesinde yapilan bir deneysel gali§madan alinmi§tir. Bu veriler Denizli Traverteni ve Bilecik Bej tipi mermerlere ait kesim parametreleridir. Bu verilerin bir kismi egitimde kullanilmi§ ve tum veriler daha sonra egitilen aglarda test edilmi§tir. Tahmin edilen sonuglar elde edilmi§ deney sonuglariyla kar§ila§tirilmi§tir. Sonug olarak tahmin edilen verilerin deneysel verilere oldukga yakin oldugu g6rulmu§tur.
FULL TEXT (PDF): 
PDF icon arastirmax-mermer-kesme-isleminde-spesifik-enerji-faktorunun-anfis-ysa-yontemleri-ile-tahmini.pdf
  • 2
221
226
  • Turkish

REFERENCES

References: 

Buyuksagis, I. S., and Goktan, R. M. 2005. Investigation of marble machining performance using an instrumented block-cutter, Journal of Materials Processing Technology, Nov., Vol. 169, pp. 258-262.
Buyuksagis, I. S. 1998. " Dairesel testereli blok kesme makinalarinda mermerlerin kesilebilirlik analiz-leri " Doktora tezi, Osmangazi Universitesi, Fen Bilimleri Enstitusu, Eskisehir.
Qnar, S.M. 2007. " Mermer kesme makinelerinde enerji tuketimi optimizasyonu", Yuksek Lisans Tezi, Afyon Kocatepe Universitesi, Fen Bilimleri Ensti-tusu
Ersoy, A. and Atici, U. 2004. Performance characteristics of circular diamond saws in cutting different types of rocks, Diamond and Related Materials, Jan., Vol. 13. pp. 22-37.
Guner, E. 2003."Adaptive neuro fuzzy inference system applications in chemical processes", Yuksek Lisans Tezi, Ortadogu Teknik Universitesi, Ankara.
Guney, K., Titi, i. 2000."Yapay sinir aglari kullanilarak he-def tipi belirleme" Eleco 2000 Elektrik-Elektronik-Bilgisayar Muhendisligi Sempozyomu.
Jang, J.S.R. 1993. ANFIS: Adaptive network-based fuzzy inference systems, IEEE Trans. Syst., Man. and Cybern. Vol. 23, pp. 665-685.
Jang, J.S.R, Sun, C.T. and Mizutani, E. 1997. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence, Prentice Hall, N.J.
Kalogirou, S. A. 2001. Artificial neural networks in re¬newable energy systems applications: a review, Renewable and Sustainable Energy Reviews.
(5), 373-401.
Kaya, i., Oktay, S., Engin, O. 2005. Kalite kontrol prob-lemlerinin gozumunde yapay sinir aglarinin kul-lanimi, Erciyes Universitesi, Fen Bilimleri Enstitu-su Dergisi, 21 (1-2), 92-107.
Kosko, B. 1991. Neural networks and fuzzy systems, A Dynamical Systems Approach, Englewood Ciffs., NJ: Prentice Hall.
Ozgelik, Y., Polat, E., Bayram, F., Ay, A.M. 2004. Investigation of the effects of textural properties on marble cutting with diamond wire, International Journal of Rock Mechanics and Mining Sciences. v 41, n SUPPL., p. 1B 06 1-7.
Perez, P. 2001. Prediction of sulfur dioxide concentra¬tion at a site near downtown santiago, chile, At¬mospheric Envi-ronment. (35), 4929-4935.
Polini, W. and Turchetta, S. 2004. Force and specific energy in stone cutting by diamond mill, International Journal of Machine Tools and Manufacture, Sept., Vol. 44, pp.1189-1196.
Selbas, R., Yakut, A.K., §encan, A., Dikmen, E. 2003. "Absorbsiyonlu sistemlerde methanol-LiBr ve Methanol-LiCl eriyiklerinin termodinamik ozel-liklerinin tespiti igin yeni bir method" , VI. Ulusal Tesisat Muhendisligi Kongresi ve Sergisi.
Tsoukalas, L. H., Uhrig, R.E. 1996. Fuzzy and neural approaches in engineering. Jhon Wiley & Sons, Inc, New York.
Xu, X. P., Li, Y. Malkin, S. 2001. Forces and energy in circular sawing and grinding of granite, journal of manufacturing science and engineering, Feb. Vol.123, pp.13-22.

Thank you for copying data from http://www.arastirmax.com