• GUTTURTHI HARISH KUMAR
• CHINTA NAGA SATYA KIRTI

Abstract: Use of optimization techniques for unconventional machining process has been considered as the one of the most important factor for the present manufacturing sectors. In the present scenario, industries utilizing the optimization technique to satisfy the best quality characteristic for manufacturing the good quality of products. In the present investigation the optimization process was employed to know the best suitable set of process parameters for the Abrasive water jet machining (AWJM) on Inconel-601 super alloy. Grey Relational Analysis (GRA) was adopted to determine the suitable optimal Material Removal Rate (MRR), Surface Roughness (Ra) and Kerf Width (k) for the impact of Abrasive water jet machining (AWJM) on distinct Inconel-601 super alloy. At first the material is machined on AWJM. Process parameters especially used are transverse speed, stand-off distance and abrasive flow rate on Inconel-601. To accomplish the experimental work the face cantered central composite design (CCD) of Response surface methodology (RSM) was utilized. Optimal setting process parameters were noticed by using grey relational analysis (GRA) and confirmation experiment was performed. A number of trail runs were conducted on Inconel-601 to recognize the improvement in Material removal rate (MRR), surface roughness (Ra) and kerf width (k).

AWJM, CCD, RSM, GRA, MRR, Ra, k, INCONEL-601.

"MULTI-RESPONSE PARAMETRIC OPTIMIZATION OF ABRASIVE WATER JET MACHINING ON INCONEL-601 BY USING GREY RELATIONAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.410-419, December-2018, Available :http://www.jetir.org/papers/JETIR1812359.pdf

"MULTI-RESPONSE PARAMETRIC OPTIMIZATION OF ABRASIVE WATER JET MACHINING ON INCONEL-601 BY USING GREY RELATIONAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp410-419, December-2018, Available at : http://www.jetir.org/papers/JETIR1812359.pdf