Startseite Grey-based fuzzy algorithm for the optimization of the ball burnishing process
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Grey-based fuzzy algorithm for the optimization of the ball burnishing process

  • Ugur Esme , Mustafa Kemal Kulekci , Deniz Ustun , Funda Kahraman und Yigit Kazancoglu
Veröffentlicht/Copyright: 3. Juli 2015
Veröffentlichen auch Sie bei De Gruyter Brill
Manuskript einreichen Informationen für Autor*innen
Materials Testing
Aus der Zeitschrift Materials Testing Band 57 Heft 7-8

Abstract

In the present study, Grey based fuzzy algorithm was used for the optimization of complex multiple performance characteristics of the ball burnishing process. Experiments have been planned according to Taguchi's L16 orthogonal design matrix. Burnishing force, number of passes, feed rate and burnishing speed were selected as input parameters, whereas surface roughness and microhardness 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) was carried out to find the significance and contribution of parameters on multiple performance characteristics. Finally, a confirmation test was applied at the optimum level of GFRG to validate the results. The results also show the feasibility of the Grey-based fuzzy algorithm for continuous improvement in product quality in complex manufacturing processes.

Kurzfassung

In der diesem Beitrag zugrunde liegenden Studie wurde ein Grey-basierter Fuzzy-Algorithmus eingesetzt, um die komplexen Performanzeigenschaften des Kugelpolierprozesses zu optimieren. Die Experimente wurden mittels der Taguchi-Methode entsprechend mit Hilfe von einer L16 orthogonaler Designmatrix geplant. Die Polierkraft, die Anzahl der Durchgänge, die Vorschubrate und die Poliergeschwindigkeit wurden als Inputparameter ausgewählt, wobei die Oberflächenhärte und die Mikrohärte als Output-Antworten ausgesucht wurden. Unter Verwendung der Grey-Relations-Analyse (Grey Relation Analysis – GRA), wurden der Grey Relationskoeffizient (Grey Relational Coefficient – GRC) und der Grey Relationsgrad (Grey Relation Grade – GRG) ermittelt. Daraufhin wurde der Grey-basierte Fuzzy-Algorithmus angewendet, um den Grey Fuzzy Reasoning Grade (GFRG) zu ermitteln. Es wurde eine Varianzanalyse (ANOVA) durchgeführt, um die Signifikanz und den Beitrag der Parameter hinsichtlich der vielfachen Performanzcharakteristik herauszufinden. Schließlich wurde ein Bestätigungstest auf dem optimalen GFRG-Niveau durchgeführt, um die Ergebnisse zu validieren. Die Ergebnisse zeigen auch, dass die Anwendung des Grey-basierten Fuzzy-Algorithmus für eine kontinuierliche Produktoptimierung in komplexen Produktionsprozessen möglich ist.

§Correspondence Address Associate Prof. Dr. Ugur Esme, Department of Manufacturing Engineering, Engineering Faculty, Mersin University Institute of Natural and Applied Sciences, 33400, Tarsus-Mersin, Turkey, E-mail:

Assoc. Prof. Dr. Ugur Esme is a lecturer at Mersin University, Tarsus Technology Faculty, Department of Automotive Engineering, Turkey. He obtained his PhD degree from Cukurova University, Department of Mechanical Engineering, Turkey in 2006. His research areas include CAD/CAM technology, welding, modeling, designing and water jet cutting applications.

Mustafa Kemal Kulekci is Professor in the Faculty of Tarsus Technology Engineering, Department of Automotive Engineering, Mersin University, Mersin, Turkey. He obtained his PhD degree from Gazi University, Ankara, Turkey in 2000. His research interests include CAD/CAM, friction stir welding, machinability of materials and water-jet cutting applications.

Deniz Ustun has completed his BS degree in the Department of Computer Science Engineering of Istanbul University, Turkey in 2001. He received his MSc degree in Electrical and Electronics Engineering from Mersin University, Turkey in 2009. Since 2010, he has been working on his PhD degree in the same department. His current research interests are artificial neural network and computer modeling of heuristic optimization algorithms.

Funda Kahraman is Associate Professor at Mersin University, Tarsus Technology Faculty, Department of Mechatronic Engineering. She received her BS and MBA degrees from İstanbul Technical University, Engineering Faculty, Department of Metallurgical Engineering, Turkey, PhD degree from Cukurova University, Engineering and Architecture Faculty, Department of Mechanical Engineering, Turkey. Her research areas include metallurgy, welding and design. She is the author of a number of publications on these subjects.

Yigit Kazancoglu is Associate Professor at Izmir University of Economics, Department of Business Administration, Turkey. He received his BS degree from the Industrial Engineering Department of Eastern Mediterranean University, Cyprus, MBA degree from Coventry University, UK, and Izmir University of Economics, Turkey, and PhD degree from Ege University, Izmir, Turkey in Operations Management. His work at the university involves giving courses and conducting research in the areas of production planning, operations management and operations research. He is the author of a number of international publications on these subjects.

References

1 L.Kukielka: Designating the field areas for the contact of a rotary burnishing element with the rough surface of a part, Providing a High-Quality Product, Journal of Mechanical Technology19 (1989), pp. 319–35610.1016/0378-3804(89)90081-8Suche in Google Scholar

2 M. H.El-Axir: An investigation into roller burnishing, International Journal of Machine Tools & Manufacture40 (2000), pp. 1603–161710.1016/S0890-6955(00)00019-5Suche in Google Scholar

3 U.Esme: 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 Tehnologije44 (2010), pp. 129–135Suche in Google Scholar

4 N. H.Loh, S. C.Tam, S. A.Miyazawa: A study of the effects of ball-burnishing parameters on surface roughness using factorial design, Journal of Mechanical Working Technology18 (1989), pp. 53–6110.1016/0378-3804(89)90109-5Suche in Google Scholar

5 H.Basak, H. H.Goktas: Burnishing process on Al alloy and optimization of surface roughness and surface hardness by fuzzy logic, Materials and Design30 (2009), pp. 1275–128110.1016/j.matdes.2008.06.063Suche in Google Scholar

6 M. M.El-Khabeery, M. H.El-Axir: Experimental techniques for studying the effects of milling roller-burnishing parameters on surface integrity, International Journal of Machine Tools and Manufacture41 (2001), pp. 1705–171910.1016/S0890-6955(01)00036-0Suche in Google Scholar

7 A. M.Hassan: The effects of ball- and roller-burnishing on the surface roughness and hardness of some non-ferrous metals, Journal of Materials Processing Technology72 (1997), pp. 385–39110.1016/S0924-0136(97)00199-4Suche in Google Scholar

8 C.Wick, R. F.Veilleux: Tool and Manufacturing Engineers Handbook, 3th Ed., Society of Manufacturing Engineering, Michigan, USA (1985)Suche in Google Scholar

9 J.Deng: Introduction to Grey system, Journal of Grey Systems1 (1989), pp. 1–24Suche in Google Scholar

10 T. S.Prasad, B.Kotiveerachari: External burnishing of aluminum components, J. Inst. Eng.69 (1988), pp. 55–58Suche in Google Scholar

11 G. Y.Shneider: Classification of metal-burnished methods and tools, Machines and Tooling XL1 (1989), pp. 35–41Suche in Google Scholar

12 A. N.Niberg: Wear resistance of sideways strengthened by burnishing, Soviet Engineering Research7 (1987), pp. 67–73Suche in Google Scholar

13 P. C.Michael, N.Saka, E.Rabinowicz: Burnishing and adhesive wear of an electrically conductive polyester-carbon film, Wear132 (1989), pp. 265–28510.1016/0043-1648(89)90077-XSuche in Google Scholar

14 N. H.Loh, S. C.Tam, S.Miyazawa: Statistical analyses of the effects of ball burnishing parameters on surface hardness, Wear129 (1989), pp. 235–24310.1016/0043-1648(89)90261-5Suche in Google Scholar

15 I.Yashcheritsyn, E. I.Pyatosin, V. V.Votchuga: Hereditary influence of pre-treatment on roller-burnishing surface wear resistance, Soviet Journal of Friction and Wear8 (1987), pp. 87–93Suche in Google Scholar

16 M.Fattouh, M. H.El-Axir, S. M.Serage: Investigation into the burnishing of external cylindrical surface of 70/30 Cu-Zn alloy, Wear127 (1988), pp. 123–13710.1016/0043-1648(88)90125-1Suche in Google Scholar

17 A. A.Ibrahim, S. M. AbdRabbob, M. H.El-Axir, A. A.Ebied: Center rest balls burnishing parameters adaptation of steel components using fuzzy logic, Journal of Materials Processing Technology209 (2009), pp. 2428–243510.1016/j.jmatprotec.2008.05.040Suche in Google Scholar

18 N. H.Loh, S. C.Tam: Effects of ball burnishing parameters on surface finish – A literature survey and discussion, Precise Engineering10 (1988), pp. 215–22010.1016/0141-6359(88)90056-6Suche in Google Scholar

19 R. K.Pandey, S. S.Panda: Optimization of bone drilling parameters using Grey-based fuzzy algorithm, Measurement47 (2014), pp. 386–39210.1016/j.measurement.2013.09.007Suche in Google Scholar

20 L.Zadeh: Fuzzy sets, Information Control8 (1965), pp. 338–35310.1016/S0019-9958(65)90241-XSuche in Google Scholar

21 S.Pattnaik, D. B.Karunakar, P. K.Jha: Multi-characteristic optimization of wax patterns in the investment casting process using Grey-fuzzy logic, International Journal of Advanced Manufacturing Technology67 (2013), pp. 1577–158710.1007/s00170-012-4591-4Suche in Google Scholar

22 F. L.Li, W.Xia, Z.Yao, Z. J.Zhao, Z. Q.Tang: Analytical prediction and experimental verification of surface roughness during the burnishing process, International Journal of Machine Tools & Manufacture62 (2012), pp. 67–7510.1016/j.ijmachtools.2012.06.001Suche in Google Scholar

23 A.Sagbas: Analysis and optimization of surface roughness in the ball burnishing process using response surface methodology and desirabilty function, Advances in Engineering Software42 (2011), pp. 992–99810.1016/j.advengsoft.2011.05.021Suche in Google Scholar

24 N. M.Liu, J. T.Horng, K. T.Chiang: 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, International Journal of Advanced Manufacturing Technology41 (2009), pp. 200–21010.1007/s00170-008-1448-ySuche in Google Scholar

25 C.Ahilan, S.Kumanan, N.Shivakamaran: Multi-objective optimization of CNC turning process using Grey-based fuzzy logic, International Journal of Machining and Machinability of Materials5 (2009), pp. 434–45110.1504/IJMMM.2009.026902Suche in Google Scholar

26 Y. F.Hsiao, Y. S.Tarng, W. J.Huang: Optimization of plasma arc welding parameters by using the Taguchi method with the Grey relational analysis, Materials and Manufacturing Processes23 (2008), pp. 51–5810.1080/10426910701524527Suche in Google Scholar

27 A.Krishnamoorthy, S. RajendraBoopathy, K.Palanikumar, J. PauloDavim: Application of Grey fuzzy logic for the optimization of the drilling parameters for CFRP composites with multiple performance characteristics, Measurement45 (2012), pp. 1286–129610.1016/j.measurement.2012.01.008Suche in Google Scholar

28 K. T.Chiang, F. P.Chang: Application of Grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell features, International Communications Heat Mass and Transfer33 (2006), pp. 94–10110.1016/j.icheatmasstransfer.2005.08.006Suche in Google Scholar

29 C. L.Lin: Use of the Taguchi method and Grey relational analysis to optimize turning operations with multiple performance characteristics, Materials and Manufacturing Processes19 (2004), pp. 209–22010.1081/AMP-120029852Suche in Google Scholar

30 Y. S.Yang, W.Huang: A Grey-fuzzy Taguchi approach for optimizing multi-objective properties of zirconium-containing diamond-like carbon coatings, Expert Systems with Applications39 (2012), pp. 743–75010.1016/j.eswa.2011.07.067Suche in Google Scholar

31 S. H.Lim, C. M.Lee, W. J.Chung: 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 Manufacturing7 (2006), pp. 18–23Suche in Google Scholar

32 M. D.Jean, B. T.Lin, J. H.Chou: Design of a fuzzy logic approach for optimization reinforced zirconia depositions using plasma sprayings, Surface & Coatings Technology201 (2006), pp. 3129–313810.1016/j.surfcoat.2006.06.056Suche in Google Scholar

Published Online: 2015-07-03
Published in Print: 2015-07-15

© 2015, Carl Hanser Verlag, München

Artikel in diesem Heft

  1. Fachbeiträge/Technical Contributions
  2. Oxidation behavior of 26Cr-16Ni and AISI 309 austenitic stainless steels in air flow at 1,173 K
  3. Temperature effects on tensile properties of laser sintered polyamide 12
  4. Friction stir spot welding of aluminum alloys: A recent review
  5. Numerical simulation and experimental validation of angular distortion and residual stresses in a T-joint
  6. Influence of cutting parameters and TiBN coating material on the drilling of Al6061-T4 sheets
  7. Testing of pipe sections
  8. Effect of Ti-Al-O inclusions on the formation of intragranular acicular ferrite
  9. Impact behavior of multi-layer carbon skin composite sandwich panels with 3D spacer fabric
  10. Effect of sintering temperature on transverse rupture strength of hot pressed Cu-TiC composites
  11. Grey-based fuzzy algorithm for the optimization of the ball burnishing process
  12. Analysis of influential factors for ultrasonic disc size evaluation
  13. Evaluation of double channel GMAW fillet welds of low carbon steel using solid wire
  14. Friction behavior of granite powder added brake pads
  15. Prediction of the elastic modulus of SWCNT/epoxy composite based on the micromechanics
  16. Modernization of a surface grinding machine with a novel ball screw drive
  17. Machining of an involute worm gear drive using the surface definition procedure
https://doi.org/10.3139/120.110763

Artikel in diesem Heft

  1. Fachbeiträge/Technical Contributions
  2. Oxidation behavior of 26Cr-16Ni and AISI 309 austenitic stainless steels in air flow at 1,173 K
  3. Temperature effects on tensile properties of laser sintered polyamide 12
  4. Friction stir spot welding of aluminum alloys: A recent review
  5. Numerical simulation and experimental validation of angular distortion and residual stresses in a T-joint
  6. Influence of cutting parameters and TiBN coating material on the drilling of Al6061-T4 sheets
  7. Testing of pipe sections
  8. Effect of Ti-Al-O inclusions on the formation of intragranular acicular ferrite
  9. Impact behavior of multi-layer carbon skin composite sandwich panels with 3D spacer fabric
  10. Effect of sintering temperature on transverse rupture strength of hot pressed Cu-TiC composites
  11. Grey-based fuzzy algorithm for the optimization of the ball burnishing process
  12. Analysis of influential factors for ultrasonic disc size evaluation
  13. Evaluation of double channel GMAW fillet welds of low carbon steel using solid wire
  14. Friction behavior of granite powder added brake pads
  15. Prediction of the elastic modulus of SWCNT/epoxy composite based on the micromechanics
  16. Modernization of a surface grinding machine with a novel ball screw drive
  17. Machining of an involute worm gear drive using the surface definition procedure
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 6.11.2025 von https://www.degruyterbrill.com/document/doi/10.3139/120.110763/html
Button zum nach oben scrollen