Tool wear rate optimization in PMEDM using titanium powder by Taguchi method for die steels

Banh, Long Tien; Nguyen, Phan Huu; Cuong, Ngo

doi:10.32508/stdj.v19i2.656

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…with the results in the literatüre (Banh et al, 2016;Jahan et al, 2010;Jailani et al, 2020;Majid & Issa, 2014;Razak et al, 2015;Rehman et al, 2022;Singh et al, 2015;Zain et al, 2012). This discrepancy suggests that an increase in the powder ratio may enhance wear on the electrode and that detached particles could potentially adhere to the workpiece.…”

Section: Discussionmentioning

confidence: 80%

CoCrMo Alaşımının Toz Katkılı Elektrik Deşarj ile İşlenmesinde Malzeme Kaldırma ve Takım Aşınma Hızının Cevap Yüzeyi Modellemesi

ÇAVDAR,

YILDIZ,

KANCA

2023

Journal of Materials and Mechatronics: A

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Electric discharge machining (EDM) is commonly used in implant manufacturing due to the challenge of machining materials that are widely employed in these applications. The study applies response surface methodology to model the impact of powder concentration and machining parameters in powder mixed EDM of CoCrMo alloys, a prevalent material for implantation. AISI 316L stainless steel was selected as the electrode material, while Ti6V4Al was chosen as the additive powder based on their biocompatibility properties. An experimental design was created using a Taguchi L16 array, which involved selecting 4 levels for each parameter of additive ratio, discharge current, pulse on time, and pulse off time. Regression models were developed for material removal rate (MRR) add tool wear rate (TWR) with satisfactory coefficients of determinations (0.87). Effect of the process parameters on MRR and TWR were analysed by means of 3D response surface plots. As a result of the modeling, it was revealed that discharge current, puls on time positively affected MRR, powder concentrations and puls off time negatively affected it. On the other hand, all of the considered process parameters have increasing effect on TWR.

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Section: Discussionmentioning

confidence: 80%

CoCrMo Alaşımının Toz Katkılı Elektrik Deşarj ile İşlenmesinde Malzeme Kaldırma ve Takım Aşınma Hızının Cevap Yüzeyi Modellemesi

ÇAVDAR,

YILDIZ,

KANCA

2023

Journal of Materials and Mechatronics: A

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“…SKD61 steel is a kind of tool steel. In particular, its mechanical properties are evaluated to be superior to those of other steels treated with heat [5][6][7] . In the manufacturing sector, heat-treated SKD61 steel is applied in hot stamping dies, blow molds, plastic molds, etc.…”

Section: Introductionmentioning

confidence: 99%

Modeling, impact evaluation, and optimization of machining performances of heat-treated SKD61 steel in a tungsten powder alloy mixed EDM process via the RSM-GRA methodology

Le,

Banh,

Nguyen

et al. 2023

Sci. Tech. Dev. J.

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Introduction: The participation of conductive powders in Electro-Discharge Machining (EDM) holds a great potential to improve the machining process. In this study, tungsten powder alloy added to the dielectric liquid during the EDM process, is called Powder Mixed EDM (PMEDM) to process heat-treated SKD61 steel was investigated. The aim of this study comprises: (i) considering the influence of essential process parameters, embracing pulse-on time (Ton), peak-current (Ip), and amount of powder (Ap) on tool wear rate (TWR) and material removal rate (MRR), and (ii) finding an optimation coalescence of the process variables for enhanced the MRR, and the reduced TWR. Methods: For this aim, the Box-Behnken matrix was adopted for the experiment design, and a series of 15 experiments has been performed to obtain empirical data. Subsequently, the adequate mathematical models for MRR and TWR were instituted, and the analysis of variance (ANOVA) was applied to assess these models' adequacy. Finally, grey relational analysis (GRA) was adopted for the multi-attribute optimization. Results: The results revealed that Ip proves the most robust influence on MRR and TWR. However, the proceeding influence is Ton and Ap for MRR, while this reverse is for TWR. The predictive models of MRR and TWR were constituted and validated with the adequacy/precision through coefficients (comprising “R2” of MRR and TWR corresponding to 0.9899 and 0.9918 , “R2(pred)” of MRR and TWR corresponding to 0.8504 and 0.8699, and “R2(adj)” of MRR and TWR corresponding to 0.9716 and 0.977). From the predictive models, the optimal responses and process variables, including MRRmax of 0.003397818(g/min), TWRmin of 0.000481408(g/min), peak-current of 5(A), pulse-on time of 150(µs), and powder concentration of 15(g/l) were found. In addition, the comparison of the micro-defects at the optimum electrical mode was conducted between having powder mode and having no-powder mode was conducted. As results, the surface obtained with the powder mode has fewer micro-cracks, voids, droplets, and smaller globules of debris than that of the surface obtained with the powderless mode. Conclusions: The results attained from evaluation of the influence of process parameters on the machining performances, establishment of a prediction model for the machining performances, and optimization of process parameters, which can be applied in factual mold manufacturing, and helps technologists and researchers having the most suitable choices. Besides, the methods applied in this study can be applied in the PMEDM process to study different powders and workpiece materials.

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Effects of EDM Parameters on Electrode Wear Rate When Machining SKD11 Steel

Anh

Cường

Thinh

et al. 2022

Advances in Engineering Research and Application

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Tool wear rate optimization in PMEDM using titanium powder by Taguchi method for die steels

Cited by 4 publications

References 3 publications

CoCrMo Alaşımının Toz Katkılı Elektrik Deşarj ile İşlenmesinde Malzeme Kaldırma ve Takım Aşınma Hızının Cevap Yüzeyi Modellemesi

CoCrMo Alaşımının Toz Katkılı Elektrik Deşarj ile İşlenmesinde Malzeme Kaldırma ve Takım Aşınma Hızının Cevap Yüzeyi Modellemesi

Modeling, impact evaluation, and optimization of machining performances of heat-treated SKD61 steel in a tungsten powder alloy mixed EDM process via the RSM-GRA methodology

Effects of EDM Parameters on Electrode Wear Rate When Machining SKD11 Steel

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