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), 247-251
DOI: 10.12691/ajme-4-7-3
Open AccessSpecial Issue

Application of Polynomial Regression Models in Prediction of Residual Stresses of a Transversal Beam

František Trebuňa1, Eva Ostertagová2, Peter Frankovský3, and Oskar Ostertag1

1Department of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovak Republic

2Department of Mathematics and Theoretical Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Nemcovej 32, 042 00 Košice, Slovak Republic

3Department of Mechatronics, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovak Republic

Pub. Date: December 17, 2016

Cite this paper:
František Trebuňa, Eva Ostertagová, Peter Frankovský and Oskar Ostertag. Application of Polynomial Regression Models in Prediction of Residual Stresses of a Transversal Beam. American Journal of Mechanical Engineering. 2016; 4(7):247-251. doi: 10.12691/ajme-4-7-3

Abstract

Residual stresses significantly affect the behavior of a structure or its individual components. Residual stresses can be determined experimentally. It should be noted that careful procedure and preparation of the experiment are necessary in order to assess the effects on a specific component. The transversal beam of a casting structure underwent a series of measurements as a result of frequent operational faults due to cracks which used to occur in the vicinity of welds and other areas with high concentration of stresses. The measurement was done with a mechanical method of drilling with the use of a tensiometric rosette. Since the hole was drilled into the material to a specific depth, it was necessary to predict stresses in different depth levels of the hole. The prediction of local deformations was based on methods of mathematical statistics supported by MATLAB.

Keywords:
holedrilling method residual stresses regression analysis MATLAB

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References:

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[5]  Ostertagová, E., Applied Statistics in the Computational Environment of the MATLAB software (in Slovak), TU Košice, 2015.