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Optimization of machining parameters during end milling of super alloys using grey based Taguchi method coupled with entropy measurement technique

Sreenivasulu Reddy, Rao Chalamalasetti Srinivasa

Journal of Mechanical and Energy Engineering

2020

Vol. 4, No 1

47--56

High-quality products include those with better surface quality and texture, close dimensional tolerances and form accuracies at precise level, increase fatigue life and burr-free. Burr formation is one of the most common inevitable facts occurring in all material removal processes, reduces assembly and machined part quality. But, burr formation during milling is a more complex mechanism compare to remaining machining burrs and leads to numerous difficulties during the deburring process. To prevent this, one should optimize the combination of cutting parameters during machining itself. In order to build up a link between quality and productivity and to attain the same in the cost-effective way, the present work concentrate on multi objective optimization of CNC end milling process parameters. Multiple performance characteristics with respect to surface quality and performance index like assembly work have been put up, to assess an equivalent single quality index (called grey relational grade) has been optimized finally by Grey based Taguchi method. After that priority weight of individual quality and performance attributes has been estimated by entropy measurement technique on the basis of relative significance and check the feasibility of the proposed technique has been demonstrated in this context.

Multi-objective optimization of machining conditions on surface roughness and MRR during CNC end milling of aluminium alloy 7075 using Taguchi design of experiments

Sakthivelu S., Anandaraj T., Selwin M.

Mechanics and Mechanical Engineering

2017

Vol. 21, nr 1

95--103

In this research, an experimental investigation of the machining characteristics of Aluminium Alloy 7075 T6 in CNC milling machine using High Speed Steel (HSS) cutting tool had been carried out. In machining operation, the quality of surface finish is an important requirement for milled work pieces. Thus, the choice of optimized cutting parameters is very important for controlling the required quality. The purpose of this research is focused on the analysis of optimum cutting conditions for minimum surface roughness and maximum material removal rate in CNC milling of Aluminium Alloy 7075 T6 by Taguchi method. Experiment have been carried out based on L16 standard orthogonal array design with three process parameters namely Spindle Speed, Feed rate, Depth of Cut. The results of the machining experiments were used to characterize the main factors affecting surface finishing and material removal rate by signal to noise ratio and analysis of variance method. Feed rate is the most significant process parameters for surface roughness and depth of cut is the most significant process parameters for material removal rate.