Optimization of Wire Electric Discharge Machining Parameters for Surface Roughness on 316 L Stainless Steel Using Full Factorial Experimental Design

Raju, P. Missak Swarup; Sarcar, M. M. M.; Satyanarayana, B.

doi:10.1016/j.mspro.2014.07.355

Cited by 30 publications

(15 citation statements)

References 6 publications

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“…Varying the above limitations a cut of 10mm length are fabricated on the work piece of two disparate materials. The aim of the present work is to optimize the WEDM procedure parameters for better performance [6], [7]. In this work the showing measures are material removal rate (MRR), surface roughness (Ra) and cutting speed (CS).…”

Section: Experimental Design and Analysismentioning

confidence: 99%

Optimization of Machining Parameters for AISI 316L And 317L Austenitic Stainless Steels using Eco Cut Wire EDM Technique

Manohar,

Rao,

Ram

2019

IJEAT

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Austentic stainless steel is one of the most suitable engineering material based on their superior resistance to corrosion and compatibility at high temperatures and high vacuum. However, the machinability of austenitic stainless steel is not very promising owing to lower thermal conductivity, higher degree of ductility and work hardenability. For meeting these challenges, unconventional machining procedures were evolved and can make any impenetrable design/profile on any work substance by acceptable controlling of various machining procedures. The main importance of this paper is to show the impact of machining parameters on Eco-cut Wire Electric Discharge Machining (WEDM) for disparate austenitic stainless steels (AISI 316L & 317L). Initially both the metals are machined on WEDM. Machining parameters like pulse on time(P on ), pulse off time(P off ), voltage(V) and wire tension(WT) are observed for both 316L and 317L stainless steel materials. A Box-Behnken Design (BBD) of response surface methodology (RSM) has been used for experimental work. The reaction of procedure is estimated by ANOVA analysis and response optimizer is used for optimum level checking. A series of trial runs were carried out on both the machined specimens for identifying better material removal rate(MRR), cutting speed(CS) and surface roughness(Ra). Keywords -Cutting Speed(CS), Material Removal Rate(MRR), Surface Roughness(Ra), pulse on time(P on ), pulse off time(P off ), voltage(V), wire tension(WT), Response Surface Methodology(RSM) and ANOVA.

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Section: Experimental Design and Analysismentioning

confidence: 99%

Optimization of Machining Parameters for AISI 316L And 317L Austenitic Stainless Steels using Eco Cut Wire EDM Technique

Manohar,

Rao,

Ram

2019

IJEAT

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“…Brass wire is used as wire electrode with demineralised water as dielectric fluid. A total of 16 experiments were conducted as per L16 orthogonal array [13]. Ra was obtained by measuring the mean absolute deviation using a stylus-type profilometer, Mitutoyo SJ-310.…”

Section: Experimental Designmentioning

confidence: 99%

Surface Integrity Analysis and Simultaneous Optimization Using Taguchi Grey Relational Analysis

Prathipati¹,

Ratnam²,

Dora³

2018

IJAST

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“…SEM analysis showed that, craters and black patches in machined surface. Pujari Srinivasa Rao et al [9], predicted the residual stress in machining Aluminium 2014 T 6 alloy as 8.2 to 405.6 MPa and proved that, there was no surface cracks formed in microstructure study while compared to other materials. Ravindranadh Bobbili et al [10] revealed that, the brass wire broke with the increased wear rate due to increase in input energy and depicted the formation of craters, debris and micro cracks.…”

Section: Introductionmentioning

confidence: 97%

Comprehensive Analysis of Wire Electric Discharge Machining Process in Machining High Chromium High Carbon Steel

Dinesh¹

2018

IJMPERD

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Optimization of Wire Electric Discharge Machining Parameters for Surface Roughness on 316 L Stainless Steel Using Full Factorial Experimental Design

Cited by 30 publications

References 6 publications

Optimization of Machining Parameters for AISI 316L And 317L Austenitic Stainless Steels using Eco Cut Wire EDM Technique

Optimization of Machining Parameters for AISI 316L And 317L Austenitic Stainless Steels using Eco Cut Wire EDM Technique

Surface Integrity Analysis and Simultaneous Optimization Using Taguchi Grey Relational Analysis

Comprehensive Analysis of Wire Electric Discharge Machining Process in Machining High Chromium High Carbon Steel

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