American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: http://www.sciepub.com/journal/ajme Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2016, 4(7), 320-324
DOI: 10.12691/ajme-4-7-16
Open AccessSpecial Issue

Geometric Optimization of a Tuning Fork in NX Nastran

Róbert Huňady1, and Peter Pavelka1

1Department of Applied Mechanics and Mechanical Engineering, Technical University of Košice, Faculty of Mechanical Engineering, Košice, Slovakia

Pub. Date: December 17, 2016

Cite this paper:
Róbert Huňady and Peter Pavelka. Geometric Optimization of a Tuning Fork in NX Nastran. American Journal of Mechanical Engineering. 2016; 4(7):320-324. doi: 10.12691/ajme-4-7-16

Abstract

A tuning fork is a simple tool used by musicians to tune their instruments or by medical practitioners to assess a patient's hearing. It produces a very pure and fixed tone, with most of the vibrational energy at the fundamental frequency, and little at its harmonic frequencies. To achieve a required tone it is needed to determine the exact dimensions of a tuning fork with regard to the material used for its manufacturing. Geometric optimization is an ideal design tool for this purpose. Paper deals with the process of proposal and design optimization of a common tuning fork by using NX Nastran software. Paper is divided into two parts. The first part deals with the experimental and numerical modal analysis of an existing tuning fork with the prongs of circular section. The second part describes the proposal and optimization of a new tuning fork with the prongs of square section.

Keywords:
geometric optimization modal analysis NX Nastran tuning fork

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References:

[1]  Gürdal, Z. and Haftka, R.T., Elements of structural optimization. Boston : Kluwer Academic Publishers, 1992.
 
[2]  Leclercq, P. and Heylighen, “A. 5,8 Analogies per hour: A designer's view on analogical reasoning,” in 7th International Conference on Artificial Intelligence in Design, Kluwer Academic Publishers, 285-303.
 
[3]  Christensen, P. W. and Klarbring, A., An Introduction to Structural Optimization. Springer, 2009.
 
[4]  Mäkinen, R.A.E., Haslinger, J., Introduction to Shape Optimization. Theory, approximation, and computation. Society for Industrial and Applied mathematics, 2003.
 
[5]  S. Johnsen, Structural topology optimization: Basic theory, methods and applications. The Norwegian University of Science and Technology, 2013.
 
[6]  Design Sensitivity and Optimization User's Guide, Siemens, 2014.
 
[7]  Goncharov, P., Artamonov, I., Khalitov, T., Engineering Analysis With NX Advanced Simulation, Siemens, LuLu Press, 2014.
 
[8]  Bilošova, A., Modal Testing, VŠB TU Ostrava, 2011.