• Hardik G Chothani
• Dr.Kalpesh D Maniya

-This article focuses on an approach based on the grey relational analysis for optimizing the process parameters for worm gear reducer with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used to optimize the process parameters. Optimal process parameters can be determined by the Taguchi method using the grey relational grade as the performance index. Churning power loss and efficiency of gear were selected as quality characteristics. Using these characteristics, the process parameters, including worm shaft speed, immersion depth of oil inside the gearbox and Temperature of oil in housing are optimized. The raw materials used in this investigation were CuSn12 for worm gear and 16MnCr5 for worm shaft. The Experimental results show parameter immersion depth (oil depth) has the most significant effect on the multiple performance characteristics.

Worm gear, Grey relational analysis, Churning power loss, Efficiency of worm gear

"GREY RELATIONAL ANALYSIS TO DETERMINE THE OPTIMUM PROCESS PARAMETERS FOR WORM GEAR REDUCER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.131-136, September-2018, Available :http://www.jetir.org/papers/JETIRA006285.pdf

"GREY RELATIONAL ANALYSIS TO DETERMINE THE OPTIMUM PROCESS PARAMETERS FOR WORM GEAR REDUCER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp131-136, September-2018, Available at : http://www.jetir.org/papers/JETIRA006285.pdf