Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2016, , 18 - 22, 19.12.2016
https://doi.org/10.18201/ijisae.265480

Öz

Kaynakça

  • E. Leelakrishnan, N. Lokesh, H. Suriyan, “Performance and emission characteristics of Brown’s gas enriched air in spark ignition engine,” International Journal of Innovative Research in Science, Engineering and Technology, vol.2, pp. 393-404, 2013.
  • R. Cameron, “Effects of on-board HHO and water injection in a diesel generator,” Bachelor of Engineering Research Project, University of Southern Queensland Faculty of Engineering and Surveying, 2012.
  • S. Yadav Milind, S.M. Sawant, “Investigations on oxyhydrogen gas and producer gas as alterntive fuels on the performance of twin cylinder diesel engine,” International Journal of Mechanical Engineering and Technology (IJMET), vol.2, pp.85-93, 2011.
  • A. Işıktaş, K. Dincer, S. Ata,”Comparison Between the Effects of Different Types of Membership Functions on Fuzzy Logic for Hydroxy Dry Cell Performance,” 16th International Multidisciplinary Scientific GeoConference SGEM 2016, Bulgaria, 2016.
  • S. Ata, K. Dincer, “Rule-based Mamdani-type fuzzy modeling of performance proton exchange membrane fuel cell with carbon nanotube,” 15th International Multidisciplinary Scientific GeoConference SGEM 2015, Bulgaria, 487-494, 2015.
  • S. Ata, K. Dincer, “Anot Tarafı Karbon Nanotüp İle Kaplanmış PEM Yakıt Hücresi Performansının Bulanık Mantık Yöntemiyle Modellenmesi,” Ulusal Hidrojen Teknolojileri Kongresi UHTEK-2015, İstanbul, 2015.
  • S. Ata, “PEM Yakıt Hücresinin Membran Performansının Deneysel Olarak İncelenmesi ve Enerji Ayrışımı Olayının Bulanık Mantık Yöntemi ile Modellenmesi,” Yüksek Lisans Tezi, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya, 2015.
  • S. Ata, K. Dincer, “Bulanık Mantık Yaklaşımıyla Yakıt Hücresi Performansının Belirlenmesi,” V. Ulusal Güneş ve Hidrojen Enerjisi Kongresi, Eskişehir, 2016.
  • S. Ata, K. Dincer, “Improving the Performance of Proton Exchange Membrane Fuel Cell Using Fuzzy Logic,” 18th International Conference on Energy and Sustainable Development, Paris, 16-17 May 2016.
  • A. Özek, M. Sinecen, “Klima sistem kontrolünün bulanık mantık ile modellemesi,” Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt 10, Sayı 3, 2004.
  • Y. Kim, S. Kim, “An Electrical Modelling and Fuzzy Logic Control of a Fuel Cell Generation System,” IEEE Transactions on Energy Conversion, vol. 14, no. 2, pp. 239-244, 1999.
  • S.W. Tong, D.W. Qian, J.J. Fang, H.X. Li, “Integrated Modelling and Variable Universe Fuzzy Control of a Hydrogen-Air Fuel Cell System,” Int. J. Electrochem. Sci., vol.8, pp. 3636-3652, 2013.
  • A.E. Tiryaki, R. Kazan, “Bulaşık makinesinin bulanık mantık ile modellenmesi,” Mühendis ve Makine, Cilt 48, Sayı 565, ss. 3-8, 2007.
  • A. Ates, T. Akbiyik, K. Dincer, “The fuzzy logic modelling of diesel engine emissions using fuel mixed with different ratios of hydrogen,” International Journal of Automotive Engineering and Technologies, vol. 2, issue 4, pp. 111 – 117, 2013.
  • M. Bölgen, “Fuzzy logic and data mining technıques in evaluating of credit risks of companies,” Master Thesis, Graduate School of Natural and Applied Sciences of Dokuz Eylül University, Turkey, 2010.
  • M. Tosun, K. Dincer, S. Baskaya, “Rule based Mamdani-type fuzzy modelling of thermal performance of wall types most used in residential buildings in Turkey,” 10th International Multidisciplinary Scientific Geoconference SGEM 2010, Albena, Bulgaria, 2010.
  • G. Önal, K. Dincer, S. Yayla, Y. Yılmaz, A.S. Ersoyoğlu, “Pt/C Coating for Proton Exchange Membrane Fuel Cell (PEMFC) and Rule-Based Mamdani-Type Fuzzy Modeling of PEMFC Performance,” International Journal of Mining, Metallurgy & Mechanical Engineering, vol.3, no.3, pp.122-128, 2015.

Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination

Yıl 2016, , 18 - 22, 19.12.2016
https://doi.org/10.18201/ijisae.265480

Öz

In this study, hydroxy (HHO) dry cell with different plate combination
performances in terms of current and temperature were experimentally
investigated and modeled with Rule-Based Mamdani-Type Fuzzy (RBMTF) modeling
technique. Input parameters plate number and time; output parameters current,
temperature were described by RBMTF if-the rules. The dimensions of the plates
were          9x9 cm2, 10x10
cm2 and 11x11 cm2. Current and temperature were measured
for the different plate combination. Tap water was used in the experiments and
the system was set to 5 minutes. For each combination, new cells were prepared.
Experimental data which obtained for current and temperature according to
combination and time were used in the training step. Numerical parameters of
input and output variables were fuzzificated as linguistic variables: very very
low (L1), very low (L2), low (L3), negative medium (L4), medium (L5), positive
medium (L6), high (L7), very high (L8) and very very high (L9) linguistic
classes. With the linguistic variables used, rules were obtained for this
system. The comparison between experimental data and RBMTF is done by using
statistical methods like the coefficient of multiple determinations (R2).
The actual values and RBMTF results indicated that RBMTF can be successfully
used in HHO dry cell.

Kaynakça

  • E. Leelakrishnan, N. Lokesh, H. Suriyan, “Performance and emission characteristics of Brown’s gas enriched air in spark ignition engine,” International Journal of Innovative Research in Science, Engineering and Technology, vol.2, pp. 393-404, 2013.
  • R. Cameron, “Effects of on-board HHO and water injection in a diesel generator,” Bachelor of Engineering Research Project, University of Southern Queensland Faculty of Engineering and Surveying, 2012.
  • S. Yadav Milind, S.M. Sawant, “Investigations on oxyhydrogen gas and producer gas as alterntive fuels on the performance of twin cylinder diesel engine,” International Journal of Mechanical Engineering and Technology (IJMET), vol.2, pp.85-93, 2011.
  • A. Işıktaş, K. Dincer, S. Ata,”Comparison Between the Effects of Different Types of Membership Functions on Fuzzy Logic for Hydroxy Dry Cell Performance,” 16th International Multidisciplinary Scientific GeoConference SGEM 2016, Bulgaria, 2016.
  • S. Ata, K. Dincer, “Rule-based Mamdani-type fuzzy modeling of performance proton exchange membrane fuel cell with carbon nanotube,” 15th International Multidisciplinary Scientific GeoConference SGEM 2015, Bulgaria, 487-494, 2015.
  • S. Ata, K. Dincer, “Anot Tarafı Karbon Nanotüp İle Kaplanmış PEM Yakıt Hücresi Performansının Bulanık Mantık Yöntemiyle Modellenmesi,” Ulusal Hidrojen Teknolojileri Kongresi UHTEK-2015, İstanbul, 2015.
  • S. Ata, “PEM Yakıt Hücresinin Membran Performansının Deneysel Olarak İncelenmesi ve Enerji Ayrışımı Olayının Bulanık Mantık Yöntemi ile Modellenmesi,” Yüksek Lisans Tezi, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya, 2015.
  • S. Ata, K. Dincer, “Bulanık Mantık Yaklaşımıyla Yakıt Hücresi Performansının Belirlenmesi,” V. Ulusal Güneş ve Hidrojen Enerjisi Kongresi, Eskişehir, 2016.
  • S. Ata, K. Dincer, “Improving the Performance of Proton Exchange Membrane Fuel Cell Using Fuzzy Logic,” 18th International Conference on Energy and Sustainable Development, Paris, 16-17 May 2016.
  • A. Özek, M. Sinecen, “Klima sistem kontrolünün bulanık mantık ile modellemesi,” Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt 10, Sayı 3, 2004.
  • Y. Kim, S. Kim, “An Electrical Modelling and Fuzzy Logic Control of a Fuel Cell Generation System,” IEEE Transactions on Energy Conversion, vol. 14, no. 2, pp. 239-244, 1999.
  • S.W. Tong, D.W. Qian, J.J. Fang, H.X. Li, “Integrated Modelling and Variable Universe Fuzzy Control of a Hydrogen-Air Fuel Cell System,” Int. J. Electrochem. Sci., vol.8, pp. 3636-3652, 2013.
  • A.E. Tiryaki, R. Kazan, “Bulaşık makinesinin bulanık mantık ile modellenmesi,” Mühendis ve Makine, Cilt 48, Sayı 565, ss. 3-8, 2007.
  • A. Ates, T. Akbiyik, K. Dincer, “The fuzzy logic modelling of diesel engine emissions using fuel mixed with different ratios of hydrogen,” International Journal of Automotive Engineering and Technologies, vol. 2, issue 4, pp. 111 – 117, 2013.
  • M. Bölgen, “Fuzzy logic and data mining technıques in evaluating of credit risks of companies,” Master Thesis, Graduate School of Natural and Applied Sciences of Dokuz Eylül University, Turkey, 2010.
  • M. Tosun, K. Dincer, S. Baskaya, “Rule based Mamdani-type fuzzy modelling of thermal performance of wall types most used in residential buildings in Turkey,” 10th International Multidisciplinary Scientific Geoconference SGEM 2010, Albena, Bulgaria, 2010.
  • G. Önal, K. Dincer, S. Yayla, Y. Yılmaz, A.S. Ersoyoğlu, “Pt/C Coating for Proton Exchange Membrane Fuel Cell (PEMFC) and Rule-Based Mamdani-Type Fuzzy Modeling of PEMFC Performance,” International Journal of Mining, Metallurgy & Mechanical Engineering, vol.3, no.3, pp.122-128, 2015.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Research Article
Yazarlar

Abdullah Işıktaş Bu kişi benim

Kevser Dincer

Ali Verim Bu kişi benim

Osman Türkmen Bu kişi benim

Sadık Ata

Yayımlanma Tarihi 19 Aralık 2016
Yayımlandığı Sayı Yıl 2016

Kaynak Göster

APA Işıktaş, A., Dincer, K., Verim, A., Türkmen, O., vd. (2016). Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 18-22. https://doi.org/10.18201/ijisae.265480
AMA Işıktaş A, Dincer K, Verim A, Türkmen O, Ata S. Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination. International Journal of Intelligent Systems and Applications in Engineering. Aralık 2016;4(Special Issue-1):18-22. doi:10.18201/ijisae.265480
Chicago Işıktaş, Abdullah, Kevser Dincer, Ali Verim, Osman Türkmen, ve Sadık Ata. “Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell With Different Plate Combination”. International Journal of Intelligent Systems and Applications in Engineering 4, sy. Special Issue-1 (Aralık 2016): 18-22. https://doi.org/10.18201/ijisae.265480.
EndNote Işıktaş A, Dincer K, Verim A, Türkmen O, Ata S (01 Aralık 2016) Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 18–22.
IEEE A. Işıktaş, K. Dincer, A. Verim, O. Türkmen, ve S. Ata, “Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, ss. 18–22, 2016, doi: 10.18201/ijisae.265480.
ISNAD Işıktaş, Abdullah vd. “Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell With Different Plate Combination”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (Aralık 2016), 18-22. https://doi.org/10.18201/ijisae.265480.
JAMA Işıktaş A, Dincer K, Verim A, Türkmen O, Ata S. Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:18–22.
MLA Işıktaş, Abdullah vd. “Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell With Different Plate Combination”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, 2016, ss. 18-22, doi:10.18201/ijisae.265480.
Vancouver Işıktaş A, Dincer K, Verim A, Türkmen O, Ata S. Experimental Investigation and Fuzzy Logic Modelling of Performance Hydroxy Dry Cell with Different Plate Combination. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):18-22.