Skip to main content

Design Selection of In-UVAT Using MATLAB Fuzzy Logic Toolbox

  • Conference paper
  • First Online:
Recent Advances on Soft Computing and Data Mining (SCDM 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 549))

Included in the following conference series:

Abstract

The design of tool holder was a crucial step to make sure the tool holder is enough to handle all forces on turning process. Because of the direct experimental approach is expensive, a few design of innovative ultrasonic vibration assisted tuning (In-UVAT) has proposed. This design has analyzed using finite element simulation to predict feasibility of tool holder displacement and effective stress. SS201 and AISI 1045 materials were used with sharp and ramp corners flexure hinges on design. To decide which one the design is selected was used MATLAB Fuzzy Logic Toolbox. The result shows that AISI 1045 material and which has ramp corner flexure hinge was the best choice to be produced. It has the Eff. Stress Static equal 3, Displacement Static equal 17.5, Eff. Stress Dynamic equal 3, Displacement Dynamic equal 17.5 and Durability Value is 86.4.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. Ahmed, N., Mitrofanov, A.V., Babitsky, V.I., Silberschmidt, V.V.: 3D finite element analysis of ultrasonically assisted turning. Comput. Mater. Sci. 39, 149–154 (2007)

    Article  Google Scholar 

  2. Xu, W., King, T.: Flexure hinges for piezo actuator displacement amplifiers: flexibility, accuracy, and stress considerations. Precis. Eng., vol. 6359, no. 95

    Google Scholar 

  3. Soo, S.L., Aspinwall, D.K., Dewes, R.C.: 3D FE modelling of the cutting of Inconel 718. J. Mater. Process. Technol. 150, 116–123 (2004)

    Article  Google Scholar 

  4. Grossi, N., Montevecchi, F., Scippa, A., Campatelli, G.: 3D finite element modeling of holder-tool assembly for stability prediction in milling. Procedia CIRP 31, 527–532 (2015)

    Article  Google Scholar 

  5. Hayati, F., Gurgen, S., Alper, M., Nuri, O.: Finite element modeling of ultrasonic assisted turning of Ti6Al4 V alloy. Procedia - Soc. Behav. Sci. 195(222), 2839–2848 (2015)

    Google Scholar 

  6. Kuo, K.: Design of rotary ultrasonic milling tool using FEM simulation, vol. 1, pp. 48–52 (2007)

    Google Scholar 

  7. Ibrahim, M.R., Cheng, K.: Vibration Assisted Micro-Milling: Theoretical Models and Instrumental Implementation. School of Engineering and Design, Brunel University Uxbridge, West London, UB8 3PH, UK

    Google Scholar 

  8. Li, H., Ibrahim, M.R., Cheng, K.: Design and principles of an innovative compliant fast tool servo for precision engineering. Mech. Sci. 2, 139–146 (2011). http://www.mech-sci.net/2/139/2011/doi:10.5194/ms-2-139-2011

    Article  Google Scholar 

  9. Ephzibah, E.P.: Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis, Int. J. Soft Comput. (IJSC) 2(1) (2011)

    Google Scholar 

  10. Aras, M.S.M., Basar, M.F., Hasim, N., Kamaruddin, M.N., Jaafar, H.I.: Development and modeling of water tank system using system identification method. Int. J. Eng. Adv. Technol. (IJEAT) 2(6) (2013). ISSN 2249–8958

    Google Scholar 

  11. Kaur, A., Chopra, V.: Fuzzy model for optimizing strategic decisions using MATLAB, research cell. Int. J. Eng. Sci. 1 (2011). ISSN 2229-6913

    Google Scholar 

  12. Hasim, N., Aras, M.S.M.: Intelligent room temperature controller system using MATLAB fuzzy logic toolbox. Int. J. Sci. Res. (IJSR) (2012). ISSN 2319-7064, Impact Factor, 3.358

    Google Scholar 

  13. Wang, S.: Motion control for intelligent ground vehicles based on the selection of paths using fuzzy inference, Master Thesis, Worcester Polytechnic Institute (2014)

    Google Scholar 

  14. Reddy, S.P.M., Venkataramaiah, P., Reddy, D.V.V.: Selection of best materials and parametric optimization of solar parabolic collector using fuzzy logic. Energ. Power Eng. 6, 527–536 (2014). In SciRes, http://www.scirp.org/journal/epe, http://dx.doi.org/10.4236/epe.2014.614046

    Article  Google Scholar 

  15. Paul, S.K., Azeem, A.: Selection of the optimal number of shifts in fuzzy environment: manufacturing company’s facility application. J. Ind. Eng. Manage. (JIEM) 3(1), 54–67 (2010). Online ISSN 2013-0953, Print ISSN 2013-8423

    Google Scholar 

  16. Kaur, S.: Two inputs two output fuzzy controller system design using MATLAB. Int. J. Adv. Eng. Sci. Technol. (IJAEST) 2(3) (2012). ISSN 2249-913X

    Google Scholar 

  17. Hamed, B., Elreesh, H.A.: Design of fuzzy logic controller for magnetic levitation using genetic algorithm. J. Inf. Commun. Technol. 2(1) (2012)

    Google Scholar 

  18. Akin, J.E.: Finite Element Analysis Concepts via SolidWorks, Elements (2009)

    Google Scholar 

  19. Wu, Y., Zhou, Z.: Design calculations for flexure hinges. Rev. Sci. Instrum. 73(9), 3101–3106 (2002)

    Article  Google Scholar 

  20. MathWorks, Fuzzy Logic Toolbox User’s Guide. MathWorks, Inc. (1995–2004)

    Google Scholar 

  21. MathWorks, Fuzzy Logic Toolbox User’s Guide. MathWorks, Inc. (2013)

    Google Scholar 

  22. Chen, G., Pham, T.T.: Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. CRC Press LLC (2001)

    Google Scholar 

  23. Rachmat, H., Ibrahim, M.R., Hasan, S.: Design selection of an innovative tool holder for Ultrasonic Vibration Assisted Turning (In-UVAT) using finite element analysis simulation. In: ICME 2016, pp. 47–770 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haris Rachmat .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Rachmat, H., Mulyana, T., Hasan, S.b.H., Ibrahim, M.R.b. (2017). Design Selection of In-UVAT Using MATLAB Fuzzy Logic Toolbox. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51281-5_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51279-2

  • Online ISBN: 978-3-319-51281-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics