Optimization of process parameters is the key step in response surface methods to achieve high quality without cost inflation. The multi-response optimization of the machining parameters viz, chip-tool interface temperature, main cutting force and feed force on lathe turning of En-31 steel as alloy steel using RSM with grey relational analysis is reported. A grey relational grade obtained from ...

This study investigated the optimization of End milling of AISI 1018mild steel by various lubricants using the Grey relational analysis method. Quaker 7101, Blasocut strong 4000 and Velvex have been selected as lubricant. All the experiment are carried out at different cutting parameter (Number of Tool Flutes, Depth of cut, Spindle speed and Feed rate) in various lubricant assisted environment....

in this study, the application of gray relational analysis (gra) and taguchi method in multi-criteria process parameters selection of turning operation has been investigated. the process responses under study are material removal rate (mrr) and surface roughness (sr); in turn, the input parameters include cutting speed, feed rate, depth of cut and nose radius of the cutting tool. the proposed a...

Medium Carbon Steel AISI 1045 has a wide variety of applications in vehicle component parts & machine building industry. Surface roughness and Material Removal Rate are the main quality functions in high speed turning of medium carbon steel in dry conditions. In this study, the optimization of two response parameters (Surface roughness and Material Removal Rate) by three machining parameters (c...

The aim of this paper to review the Taguchi based Grey relational analysis is used to find the best process parameters and improved quality results. The GRA was proposed to optimize the multi response problem by making use of the grey relational coefficient and grey relational grade. GRA is attempted to integrate multiple responses, it is feasible to combine GRA with Taguchi method to provide a...

this study focused on the optimization of al—mg to cuzn34 friction stir lap welding (fslw) process for optimal combination of rotational and traverse speeds in order to yield favorable fracture load using grey relational analysis (gra). first, the degree of freedom was calculated for the system. then, the experiments based on the target values and number of considered levels, corresponding orth...

Intermittent machining is characterized by its complex and irregular context. This intermittency causes to occur under difficult conditions that greatly influence the technological performance parameters. The aim of present work evaluate effects input parameters, cutting speed, Vc, depth cut, ap, tool nose radius, r feed rate, f, on surface roughness, Ra, tangential force, Fz, motor power consu...

Optimization of multi-criteria problems is a great need of producers to produce precision parts with low costs. Optimization of multi-performance characteristics is more complex compared to optimization of single-performance characteristics. The theory of grey system is a new technique for performing prediction, relational analysis, and decision making in many areas. In this paper, the use of g...

This study focused on the optimization of Al—Mg to CuZn34 friction stir lap welding (FSLW) process for optimal combination of rotational and traverse speeds in order to yield favorable fracture load using Grey relational analysis (GRA). First, the degree of freedom was calculated for the system. Then, the experiments based on the target values and number of considered levels, corresponding orth...

The optimization of performance characteristics in turning process can be achieved through selection of proper machining parameters. It is well known that many researchers have successfully reported the optimization of single performance characteristic. Nevertheless, the multi-objective optimization can be difficult and challenging to be studied due to its complexity in analysis. This is becaus...