Communications - Scientific Letters of the University of Zilina 2018, 20(3):30-35 | DOI: 10.26552/com.C.2018.3.30-35

Optimization of Parameters of a Planetary Gearbox Using the Taguchi-Grey Relational Analysis

Slavica Miladinovic1, Sandra Velickovic1, Blaza Stojanovic1, Ruzica Nikolic2
1 Faculty of Engineering, University of Kragujevac, Serbia
2 Research Center, University of Zilina, Slovakia

Optimization of parameters of central gears of a planetary gearbox was performed in this study. Since the optimization of multi-performance characteristics is more complex compared to optimization of a single-performance characteristics, the Taguchi-Grey analysis was used. That approach combines the Taguchi orthogonal array L27 with the Grey relational analysis to determine the influence of the material, module and gear width on the safety coefficient of the planetary gearbox. A Grey relational grade obtained from the Grey relational analysis is used as the performance characteristics in the Taguchi method and Analysis of variance (ANOVA). The optimal combination of parameters for the safety coefficient values was obtained, when the value of the Grey relational grade is 1. Based on the ANOVA analysis, it was established that the most influential parameter is the module, then the gear width and the least influential one is the material.

Keywords: Taguchi method; Grey relational analysis; ANOVA; optimization; planetary gearbox

Received: February 12, 2018; Accepted: April 23, 2018; Published: September 30, 2018  Show citation

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Miladinovic, S., Velickovic, S., Stojanovic, B., & Nikolic, R. (2018). Optimization of Parameters of a Planetary Gearbox Using the Taguchi-Grey Relational Analysis. Communications - Scientific Letters of the University of Zilina20(3), 30-35. doi: 10.26552/com.C.2018.3.30-35
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References

  1. MILADINOVIC, S., VELICKOVIC, S., NOVAKOVIC, M.: Application of Taguchi method for the Selection of Optimal Parameters of Planetary Driving Gear. Applied Engineering Letters, 1(4), 98-104, 2016.
  2. TANASIJEVIC, S., VULIC, A.: Mechanical Transmitters - Planetary Transmitters and Variators (in Serbian). Faculty of Mechanical Engineering, Kragujevac, 2006.
  3. STEFANOVIC-MARINOVIC, J., PETKOVIC, M., STANIMIROVIC, I.: Application of the ELECTRE Method to Planetary Gear Train Optimization. Journal of Mechanical Science and Technology, 29(2), 647-654, 2015. https://doi.org/10.1007/s12206-015-0124-z Go to original source...
  4. MEHAT, N. M., KAMARUDDIN, S., OTHMAN, A. R.: Hybrid Integration of Taguchi Parametric Design Grey Relational Analysis and Principal Component Analysis Optimization for Plastic Gear Production.Chinese Journal of Engineering, 1-11, 2014. http://dx.doi.org/10.1155/2014/351206 Go to original source...
  5. MILADINOVIC, S., RADOSAVLJEVIC, S., VELICKOVIC, S., ATYAT, R., SKULIC, A., SLJIVIC, V.: Optimization of Efficiency of Worm Gear Reducer by Using Taguchi-Grey Method. Applied Engineering Letters, 2(2), 69-75, 2017.
  6. RAMDUMAR, R., KEN, M.: Minimization of Shrinkage in Injection Molding Process of Acetal Polymer Gear Using Taguchi DOE Optimization and ANOVA Method. International Journal of Mechanical and Industrial Technology, 4(2),72-79, 2017.
  7. STOJANOVIC, B., BLAGOJEVIC, J., BABIC, M., VELICKOVIC, S., MILADINOVIC, S.: Optimization of Hybrid Aluminum Composites Wear Using Taguchi Method and Artificial Neural Network. Industrial Lubrication and Tribology, 69(6),1005-1015, 2017. https://doi.org/10.1108/ILT-02-2017-0043 Go to original source...
  8. MILADINOVIC, S., VELICKOVIC, S.: Optimization and Prediction of Safety Coefficient for Surface Durability of Planetary Gearbox using Taguchi Design and Artificial Neural Network. Proceedings of the 3rd International Scientific Conference COMETa, Bosnia and Herzegovina, 139-146, 2016.
  9. YUNUS, M., ALSOUFI, M. S., MUNSHI, S. M.: Taguchi-Grey Relation Analysis for Assessing the Optimal Set of Control Factors of Thermal Barrier Coatings for High-Temperature Applications. Mechanics of Advanced Materials and Modern Processes, 2(4), 1-8, 2016. https://doi.org/10.1186/s40759-016-0011-z Go to original source...
  10. LIN, J. L.,LIN, C. L.: The Use of the Orthogonal Array with Grey Relational Analysis to Optimize the Electrical Discharge Machining Process with Multiple Performance Characteristics. International Journal of Machine Tools and Manufacture,42, 237-244, 2002. Go to original source...
  11. CHIANG, Y.M., Hsieh, H. H.: The Use of the Taguchi Method with Grey Relational Analysis to Optimize the Thin-Film Sputtering Process with Multiple Quality Characteristic in Color Filter Manufacturing, Computers and Industrial Engineering, 56(2), 648-661, 2008. https://doi.org/10.1016/j.cie.2007.12.020 Go to original source...
  12. SUDEEPANA, J., KUMARB, K., BARMANC, T. K., SAHOOC, P.: Study of Tribological Behavior of ABS/CaCO3 Composite Using Grey Relational Analysis. Procedia Materials Science, 6, 682-691, 2014. https://doi.org/10.1016/j.mspro.2014.07.084 Go to original source...
  13. STOJANOVIC B., BABIC M., IVANOVIC L.: Taguchi Optimization of Tribological Properties of Al/SiC/Graphite Composite. Journal of the Balkan Tribological Association, 22(3), 2592-2605, 2016.
  14. MILADINOVIC, S., VELICKOVIC, S., STOJANOVIC, B., NIKOLIC, R.: The Taguchi-Grey Relational Analysis for Optimization of the Safety Coefficient for the Surface Durability of a Planetary Gearbox. Proceedings of the 23rd International Seminar of Ph.D. Students SEMDOK 2018, Slovakia, 118-123, 2018.

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