Wire EDM process optimization for machining AISI 1045 steel by use of Taguchi method, artificial neural network and analysis of variances

Al-Duroobi, Ahmed A. A.; Ubaid, Alaa M.; Tawfiq, Maan Aabid; Elias, Rasha R.

doi:10.1007/s13198-020-00990-z

Cited by 42 publications

(14 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on Figure 2 & 3 it can be seen that the cutting speed and cutting gas pressure are significant factors in the optimization of the Aisi 1045 steel cutting process for the minimum kerf width with a contribution of 95.6%, while the tip / nozzle height factor is not significant for the optimization of the process cutting AISI 1045 steel for minimum kerf width (Patel et al, 2015;Selvam et al, 2019;Alduroobi et al, 2020;Rzeźnikiewicz, 2014). The minimum results in the cutting process are influenced by the parameters in Figure (3), the combination of factors and levels can be seen in Figure (3), so the variation of factors and levels for optimization of the Aisi 1045 steel cutting process for minimum kerf width can be obtained write down (Majanasastra, 2013;Parnianifard, et al, 2018;Santoso et al, 2018):…”

Section: Resultsmentioning

confidence: 99%

Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

Syahputra¹,

Salam²,

Sasmita³

2021

ASEAN J. Sci. Eng.

View full text Add to dashboard Cite

This research is intended to determine the optimum combination of parameters and how much the contribution of the parameters of cutting speed, oxygen gas pressure, and nozzle distance to the width of the cutting kerf. This research was conducted with a method, namely Taguchi Design of Experiments (DoEs) by varying the process factors used in the AISI 1045 steel material cutting process. The control factors in this study consisted of three factors, namely cutting speed, gas pressure, and tip distance. The cutting speed and cutting gas pressure are significant factors in the optimization of the AISI 1045 steel cutting process for minimum kerf width with a contribution of 95.6%, while the tip / nozzle height factor is not significant in the optimization of the AISI 1045 steel cutting process for the kerf width minimum. The optimum parameter values to obtain the minimum kerf width in AISI 1045 steel are cutting speed of 250 mm/min, gas pressure of 3 kgf/cm2, and tip height of 4 mm. Furthermore, the results of the verification tests carried out indicated that the optimal process parameter formula obtained is feasible to use, indicated by the S / N ratio and confidence interval (CI) of prediction and verification that coincide with one another. The optimal process parameter formula can be used as a reference for industrial production activities with a 95% success rate.

show abstract

Section: Resultsmentioning

confidence: 99%

Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

Syahputra¹,

Salam²,

Sasmita³

2021

ASEAN J. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Following are the formulas to calculate SSF, SST, and SSE and mean squared errors from equations (10)–(15) respectively. 35 The terminologies used for the calculation using the equations are described below: S: Total number of observations. R: Total of observations under all factor levels, B m : Total number of observations under the mth factor level, gm: Number of observations at each factor level (m = 1 ….…”

Section: Wedm Process Modeling and Optimizationmentioning

confidence: 99%

“…Following are the formulas to calculate SSF, SST, and SSE and mean squared errors from equations ( 10)-( 15) respectively. 35…”

Section: Analysis Of Variances (Anova)mentioning

confidence: 99%

Modeling and optimization of Wire –EDM parameters for machining of Ni_54.1Ti_45.9 shape memory alloy using hybrid approach

Gupta

Dubey

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

Shape memory alloys are a distinct family of alloys recognized for their unique features, such as extreme anti-fatigue, exceptional specific strength, corrosion resistance, biocompatibility, and pseudo-elasticity. Due to strain-hardening effects displayed by the latter during a conventional machining process, these features make shape memory alloys particularly functional for machining utilizing non-traditional methods rather than conventional ones. The alloy's original qualities are at risk as a result of this consequence. Nickel-Titanium shape memory alloys with 54.1 and 45.9% Nickel-Titanium blends were employed in this investigation (Ni54.1Ti45.9). The surface characteristics of Ni54.1Ti45.9 alloy are investigated using the wire electrical discharge machining (WEDM) technique with a brass tool electrode (zinc-coated) and the influence of process parameters on it. Variations in wire feed rate, wire tension, pulse on and off duration, and peak current were used as input factors to investigate variations in surface roughness and material removal rate. Surface roughness and material removal rate data from L27 orthogonal array (OA) studies were used to create artificial neural network (ANN) models. To improve the quality attributes, a model combining a hybrid version of the genetic algorithm (GA) and an ANN has been presented. The ANN models were found to accurately predict the results, which matched the experimental data. After the adjustment, the quality features also improved significantly.

show abstract

“…Alduroobi et al [18]investigated response parameters MRR and SR for work material AISI 1045 for the WEDM process using the artificial neural network optimization technique. According to the findings, an increase in Ton correlates to an increase in MRR.…”

Section: On the Basis Of Different Techniques Usedmentioning

confidence: 99%

Experimental investigation and optimization of WEDM process for AISI 420 stainless steel

Jha

Garg

Shrivastava

2022

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

AISI 420 Stainless steel is martensitic steel having sufficient corrosive resistance and outstanding hardness used for making knife blades, shear blades, hand tools, and surgical instruments for the medical industry. For the machining of this kind of high-strength material, WEDM is a popular advanced machining technique for creating items with complex forms and profiles. WEDM of AISI420 stainless steel is accomplished utilizing Zn coated copper wire as an electrode in this study. Machine input control parameters include pulse on time (Ton), pulse off time (Toff), peak current (Ip), and wire feed rate (Wf), whereas measured output response parameters include material removal rate (MRR), Kerf width (KW), and surface roughness (SR). Experiments were constructed using Taguchi L16 orthogonal arrays, and control parameters were optimized using Taguchi-based grey relational analysis (TGRA). Parametric analyses are done for multi-response optimization by obtaining grey relational grade (GRG). It has been found from the ANOVA table that Ton, Toff, Ip, and Wf are having % contributions of 85.67%, 4.38%, 8.47%, and 0.26% respectively. The optimal level of input parameters obtained by Taguchi-based GRA is Ton 125µs, Toff 40µs, Ip 220A, and Wf 8m/min. To validate the results confirmation tests are performed on optimal input parameters.

show abstract

Wire EDM process optimization for machining AISI 1045 steel by use of Taguchi method, artificial neural network and analysis of variances

Cited by 42 publications

References 63 publications

Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

Modeling and optimization of Wire –EDM parameters for machining of Ni_54.1Ti_45.9 shape memory alloy using hybrid approach

Experimental investigation and optimization of WEDM process for AISI 420 stainless steel

Contact Info

Product

Resources

About

Wire EDM process optimization for machining AISI 1045 steel by use of Taguchi method, artificial neural network and analysis of variances

Cited by 42 publications

References 63 publications

Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

Optimization of The Oxy-Acetyline Gas Cutting Process on Aisi 1045 Steel Material to Produce Minimum Width Kerf

Modeling and optimization of Wire –EDM parameters for machining of Ni54.1Ti45.9 shape memory alloy using hybrid approach

Experimental investigation and optimization of WEDM process for AISI 420 stainless steel

Contact Info

Product

Resources

About

Modeling and optimization of Wire –EDM parameters for machining of Ni_54.1Ti_45.9 shape memory alloy using hybrid approach