
Determination of Optimum Working Parameters for Multiple Response Characteristics of Worm Gear Box
Author(s) -
Mr.Hardik G. Chothani*,
Dr.Kalpesh D. Maniya
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4656.098319
Subject(s) - lubricant , worm drive , torque , taguchi methods , grey relational analysis , non circular gear , automotive engineering , computer science , mechanical engineering , engineering , mathematics , spiral bevel gear , statistics , physics , machine learning , thermodynamics
The reason for this task is to optimize the multiple response of single start worm gear using three working parameters to improve its performance. As the input torque and lubricant heating time are the most effective responses of worm gear box to reduce the no-load dependent losses, they are taken as the response parameters in this research. Taguchi Grey Relational Analysis (GRA) is the method used to determine the influence of type of lubricant, volume of lubricant and speed of worm gear on multiple responses (input torque & lubricant heating time) of worm gear. The specific test rig is developed based on direct torque measurement technique to measure the input torque and lubricant heating time of worm gear box. Experimental results have shown that the input torque and lubricant heating time can be improved effectively through Taguchi-Grey Relational Analysis. The result is validated using the Confirmation Test. ANOVA determines the important of parameters. It has been found that the type of lubricant and speed of worm gear are influential parameters for worm gear performance. By selecting these parameters, efficiency of the worm gearbox can be increased.