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.
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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)
Xu, W., King, T.: Flexure hinges for piezo actuator displacement amplifiers: flexibility, accuracy, and stress considerations. Precis. Eng., vol. 6359, no. 95
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)
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)
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)
Kuo, K.: Design of rotary ultrasonic milling tool using FEM simulation, vol. 1, pp. 48–52 (2007)
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
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
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)
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
Kaur, A., Chopra, V.: Fuzzy model for optimizing strategic decisions using MATLAB, research cell. Int. J. Eng. Sci. 1 (2011). ISSN 2229-6913
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
Wang, S.: Motion control for intelligent ground vehicles based on the selection of paths using fuzzy inference, Master Thesis, Worcester Polytechnic Institute (2014)
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
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
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
Hamed, B., Elreesh, H.A.: Design of fuzzy logic controller for magnetic levitation using genetic algorithm. J. Inf. Commun. Technol. 2(1) (2012)
Akin, J.E.: Finite Element Analysis Concepts via SolidWorks, Elements (2009)
Wu, Y., Zhou, Z.: Design calculations for flexure hinges. Rev. Sci. Instrum. 73(9), 3101–3106 (2002)
MathWorks, Fuzzy Logic Toolbox User’s Guide. MathWorks, Inc. (1995–2004)
MathWorks, Fuzzy Logic Toolbox User’s Guide. MathWorks, Inc. (2013)
Chen, G., Pham, T.T.: Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. CRC Press LLC (2001)
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)
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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
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