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OPTIMIZATION OF EFFICIENCY OF WORM GEAR REDUCER BY USING TAGUCHI-GREY METHOD
Authors:
Slavica Miladinović1, Saša Radosavljević1, Sandra Veličković1
, Raed Atyat1,
Aleksandar Skulić1, Veljko Šljivić2
1University of Kragujevac, Faculty of Engineering, Sestre Janjić 6, 34000 Kragujevac, Serbia
2University of Belgrade, Faculty of Mechanical Engineering, Kraljice Marije 16, 11120 Belgrade, Serbia
Received 15.05.2017.
Accepted 17.06.2017.
Available 30.06.2017.
Abstract:
In this paper the efficiency and output power are considered, as the most important characteristics of the worm gear reducer, and their optimization was performed. As the influencing factors, the viscosity of the lubricant, the input number of revolutions and the current intensity on the control unit, were taken into account. Experimental tests were performed on the basis of the L27 Taguchi orthogonal matrix. Due to multiple output issues, the Grey method was applied. Based on the Grey relational grade using the ANOVA analysis, the optimal combination of factors is A3B2C3 ie. Grey relational grade is the highest for the number of revolutions 2000 min-1, the viscosity of the lubricant 460 mm2/s and current intensity of 0.2 A. Also, Grey relational grade was most influenced by the current intensity on the control unit with 72.1%.
Keywords:
Efficiency, worm gear, Taguchi-Grey analysis, optimization
References:
[1] V. Nikolić, Machine elements, Faculty of Mechanical Engineering, Kragujevac, 2004.
[2] A. Skulić, D. Krsmanović, S. Radosavljević, L. Ivanović, B. Stojanović, Power losses of worm gear pairs, Acta Technica Corviniensis – Bulletin of Engineering, 10(3), 2017:39-45.
[3] M. Turci, E. Ferramola, F. Bisanti, G. Giacomozzi, Worm Gear Efficiency Estimation and Optimization, Gear Techn, 33 (4), 2016: 46-53.
[4] B. Magyar, B. Sauer, Calculation of the Efficiency of Worm Gear Drives, Power Transmission Engineering, 9 (4), 2015:52-56.
[5] H. Siebert, Worm Gears-Higher Energy Efficiency and Less Strain on Resources, Gear Techn, 28 (3), 2011:26-30.
[6] J. Sudeepana, K. Kumarb, T.K. Barmanc, P. Sahooc, Study of tribological behavior of ABS/ CaCO3 composite using Grey relational analysis, Proc Mater Sci, 6 (2014) pp.682 – 691.
[7] M. Yunus, M.S. Alsoufi, S.M. Munshi, TaguchiGrey relation analysis for assessing the optimal set of control factors of thermal barrier coatings for high-temperature applications, Mech Adv Mater Struc, 2(4), 2016:1-8.
[8] B. Stojanović, S. Radosavljević, S. Veličković, S. Miladinović, M. Bukvić, The influence of lubricant viscosity on the efficiency of worm gear reducer, 8th International Scientific Conference Research and development of mechanical elements and systems (IRMES 2017), 7-9 Septembar, 2017, Trebinje, Bosna I Hercegovina, 2017, pp. 219-225.
[9] J. Deng, Introduction to Grey system theory, J Grey Syst, 1 (1), 1989:1–24.
[10] S. Ghosh, P. Sahoo, G. Sutradhar, Tribological Performance Optimization of Al-7.5% SiCp Composites Using the Taguchi Method and Grey Relational Analysis, J. Compos., 2013, 2013, 1-9.
[11] V.R. Ramakoteswara, N. Ramanaiah, M.M.M. Sarcar, Ch. R. Deva, Application of Grey-Taguchi Technique for Optimization of Process Parameters for Wear Behaviour on AA7075-TiC Metal Matrix Composites, 6th International & 27th All India Manufacturing Technology 2016, Design and Research (AIMTDR 2016), 16-18 December, 2016, Pune, India, pp. 1685-1688.
[12] L. Ivanović, B. Stojanović, J. Blagojević, G. Bogdanović, A. Marinković, Analysis of the flow rate and the volumetric efficiency of the trochoidal pump by application of Taguchi method, Tech. Gazz., 24, Suppl. 2, 2017: 265-270.
[13] S. Veličković, B. Stojanović, M. Babić, I. Bobić, Optimization of tribological properties of aluminum hybrid composites using Taguchi design, J. Compos. Mater., 51 (17), 2017: 2505 – 2515.
[14] B. Stojanović, M. Babić, S. Veličković, J. Blagojević, Tribological behavior of aluminum hybrid composites studied by application of factorial techniques, Tribol. Trans., 59 (3), 2016: 522-529.
[15] S. Miladinović, S. Veličković, M. Novaković, Application of Taguchi method for the selection of optimal parameters of planetary driving gear, Appl. Eng. Lett., 1 (4), 2016: 98-104.
[16] B.Stojanović, J. Blagojević, M.Babić, S.Veličković, S.Miladinović, Optimization of hybrid aluminum composites wear using Taguchi method and artificial neural network, Ind. Lubr. Tribol., 69(6), 2017, https://doi.org/10.1108/ILT-02-2017-0043.
[17] B. Stojanović, M. Babić, L. Ivanović, Taguchi optimization of tribological properties of Al/SiC/Graphite composite; J. Balk. Tribol. Assoc., 22(3), 2016: pp.2592-2605
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 1
March 2025
Last Edition
Volume 10
Number 1
March 2025
How to Cite
S. Miladinović, S. Radosavljević, S. Veličković, R. Atyat, A. Skulić, V. Šljivić, Optimization of Efficiency of Worm Gear Reducer by Using Taguchi-Grey Method. Applied Engineering Letters, 2(2), 2017: 69-75.
More Citation Formats
Miladinović, S., Radosavljević, S., Veličković, S., Atyat, R., Skulić, A., & Šljivić, V. (2017). Optimization of Efficiency of Worm Gear Reducer by Using Taguchi-Grey Method. Applied Engineering Letters, 2(2), 69-75.
Salvica, Miladinović, et al. “Optimization of Efficiency of Worm Gear Reducer by Using Taguchi-Grey Method.“ Applied Engineering Letters, vol. 2, no. 2, 2017, pp. 69-75.
Miladinović, Slavica, Saša Radosavljević, Sandra Veličković, Raed Atyat, Aleksandar Skulić, and Veljko Šljivić. 2017. “Optimization of Efficiency of Worm Gear Reducer by Using Taguchi-Grey Method.“ Applied Engineering Letters, 2 (2), 69-75.
Miladinović, S., Radosavljević, S., Veličković, S., Atyat, R., Skulić, A. and Šljivić, V. (2017). Optimization of Efficiency of Worm Gear Reducer by Using Taguchi-Grey Method. Applied Engineering Letters, 2(2), 69-75.
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OPTIMIZATION OF EFFICIENCY OF WORM GEAR REDUCER BY USING TAGUCHI-GREY METHOD
Authors:
Slavica Miladinović1, Saša Radosavljević1, Sandra Veličković1
, Raed Atyat1,
Aleksandar Skulić1, Veljko Šljivić2
1University of Kragujevac, Faculty of Engineering, Sestre Janjić 6, 34000 Kragujevac, Serbia
2University of Belgrade, Faculty of Mechanical Engineering, Kraljice Marije 16, 11120 Belgrade, Serbia
Received 15.05.2017.
Accepted 17.06.2017.
Available 30.06.2017.
Abstract:
In this paper the efficiency and output power are considered, as the most important characteristics of the worm gear reducer, and their optimization was performed. As the influencing factors, the viscosity of the lubricant, the input number of revolutions and the current intensity on the control unit, were taken into account. Experimental tests were performed on the basis of the L27 Taguchi orthogonal matrix. Due to multiple output issues, the Grey method was applied. Based on the Grey relational grade using the ANOVA analysis, the optimal combination of factors is A3B2C3 ie. Grey relational grade is the highest for the number of revolutions 2000 min-1, the viscosity of the lubricant 460 mm2/s and current intensity of 0.2 A. Also, Grey relational grade was most influenced by the current intensity on the control unit with 72.1%.
Keywords:
Efficiency, worm gear, Taguchi-Grey analysis, optimization
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 1
March 2025
Last Edition
Volume 10
Number 1
March 2025