2017
DOI: 10.22153/kej.2017.12.001
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ptimization the Parameters of Magnetic Abrasive Process Using Taguchi Method to Improve the Surface Roughness

Abstract: Magnetic abrasive finishing (MAF) process is one of non-traditional or advanced finishing methods which is suitable for different materials and produces high quality level of surface finish where it uses magnetic force as a machining pressure. A set of experimental tests was planned according to Taguchi orthogonal array (OA) L27 (36) with three levels and six input parameters. Experimental estimation and optimization of input parameters for MAF process for stainless steel type 316 plate work piece, six … Show more

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Cited by 4 publications
(3 citation statements)
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“…Regression is a statistical measure used to find and calculate the mathematical relationship between the independent variables and the dependant variables or in other word the input and output parameters which is linear [17]. The general form of multiple regression is:…”
Section: Regression Equations For Mrmentioning
confidence: 99%
“…Regression is a statistical measure used to find and calculate the mathematical relationship between the independent variables and the dependant variables or in other word the input and output parameters which is linear [17]. The general form of multiple regression is:…”
Section: Regression Equations For Mrmentioning
confidence: 99%
“…The performance of magnetic poles shown in Figure 2 was evaluated by Marwa Khalil et al et al [12] based on the produced surface finish and material removal. Other parameters are also involved in the investigation like gap, current, time, speeds of the workpiece, and pole.…”
Section: Introductionmentioning
confidence: 99%
“…(a) (b) Figure ( 1): Principle of MAF process. Where working gap is the space between the tool and the workpiece Mousa [9], study the optimization and influence of parameters (amplitude of pole geometry, number of cycles of pole geometry, working gap, finishing time, cutting speed, and current) on the quality of the surface of MAF for stainless steel 316 workpiece. They Utilize Taguchi method for finding the prediction models using the signal-to-noise ratio with the MINITAB 17 software.…”
Section: Introductionmentioning
confidence: 99%