DocumentCode
2523622
Title
An optimization aproach for design parameters in involute spur gears considering transmission error, gear size and lubrication parameters using Grey Relational Analysis Technique
Author
Mohammadpour, Mahdi ; Mirzaee, Jraj ; Eskandarzade, Mahdi ; Khalilarya, Shahram
Author_Institution
Dept. Mech. Eng, Urmia Univ. of Technol., Urmia, Iran
fYear
2010
fDate
10-12 Sept. 2010
Firstpage
165
Lastpage
173
Abstract
This paper presents an optimal design for gears considering gear transmission error, size and lubrication parameters and using Grey Relational Analysis Technique. For this purpose, a new approach has been utilized in order to calculate the transmission error in involute spur gears to get outputs in the shortest time with a high accuracy. In this model, a statically un-determined problem is considered between each engaged pair. In addition to this factor, a factor that defines a competitive parameter for size of gear sets has been considered as second parameter for optimization. This factor has a great effect on financial matters of gears production and design compactness. The third parameter for consideration is oil film thickness in contact points along the path of contact that has been calculated using experimental equations. Finally, to investigate the accuracy of this model, some competitive parameters have been defined and utilized.
Keywords
design engineering; financial management; gears; lubrication; mechanical contact; optimisation; contact points; design compactness; design parameters; experimental equations; financial matters; gear size; gears production; grey relational analysis technique; involute spur gears; lubrication parameters; oil film thickness; optimal design; optimization; transmission error; Argon; Arrays; Equations; Erbium; Load modeling; Mathematical model; Teeth; Design; Grey Relational Analysis Technique; Involute Spur Grears; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-8100-2
Electronic_ISBN
978-1-4244-8102-6
Type
conf
DOI
10.1109/ICMET.2010.5598344
Filename
5598344
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