• Prasad Kumar C M
• Hemanth Kumar T R
• S N LakshmiNarasimhan

ABSTRACT Product manufacturers, seeking to remain competitive in the market, rely on their man powers to quickly and effectively set up manufacturing processes for products. Taguchi parameter design is a powerful and well-organized method for optimizing the quality and performance output of manufacturing processes, thus a powerful tool for meeting this challenge. The aim of this research is to use Taguchi parameter design for optimizing the cutting parameters like cutting speed, feed and depth of cut to minimize the surface roughness and to maximize the material removal rate in turning aluminium alloy by conventional lathe. Three types of cutting tools viz. High speed steel (HSS) tool, carbide tool and polycrystalline diamond (PCD) tool were used for turning operations. The experiments were carried out using Taguchi design of experiments with L27 orthogonal array. The mathematical model for material removal rate and surface roughness on turning operation was developed using regression analysis. From this research paper, it is found that cutting speed, feed are the most significant parameters and depth of cut is the least significant parameter in favour of surface roughness for all the three cutting tools. Cutting speed, depth of cut are the most significant parameters and feed is the least significant parameter in favour of material removal rate (MRR) for all the three cutting tools.

Keywords: Surface roughness, Material removal rate, Orthogonal array, Cutting tools, Regression analysis.

"DEVELOPMENT OF MATHEMATICAL MODEL FOR SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE OF ALUMINIUM ALLOY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.93-103, July-2018, Available :http://www.jetir.org/papers/JETIR1807481.pdf

"DEVELOPMENT OF MATHEMATICAL MODEL FOR SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE OF ALUMINIUM ALLOY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp93-103, July-2018, Available at : http://www.jetir.org/papers/JETIR1807481.pdf