scholarly journals Tool Wear Rate on Inconel 718 using W-Powder Mixed Electric Discharge Drilling

2020 ◽  
Vol 9 (5) ◽  
pp. 1431-1435
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Inconel 718 ◽  
Electrical Discharge ◽  
Removal Rate ◽  
Research Work ◽  
Machining Parameters ◽  
Tool Wear Rate ◽  
Electrical Discharge Drilling ◽  
Pulse Off Time

Electrical Discharge Drilling (EDD) is an unconventional manufacturing process with large industrial performances. Addition of powder particles in dielectric changes some process variables and machines hard and hard to cut materials with greater surface finish high tolerance and accuracy to accomplish a superior material removal rate with a reduced Tool Wear Rate (TWR). This research work explores the performance of TWR on Tungsten Powder Mixed Electrical Discharge Drilling (W-PMEDD) on Inconel 718 super alloy. The input machining parameters of Peak Current (Ip ) Pulse on (Ton) and Pulse off time (Toff) and the output measure of TWR were examined by Response Surface Method (RSM). Analysis of Variance was used to evaluate the effect of the machining parameters and it is concluded that Ip, Ton and Toff are the most significant parameters while machining of W-PMEDD on Inconel 718.

Modeling and Spark Erosion Drilling Process Optimization of Inconel 718 Using RSM Technique

2019 ◽  
Vol 18 (01) ◽  
pp. 57-83 ◽  
Author(s):  
Rajeev Kumar ◽  
Somnath Chattopadhyaya ◽  
G. K. Singh ◽  
Umesh Kumar Vates
Keyword(s):  
Surface Roughness ◽  
Wear Rate ◽  
Tool Wear ◽  
Discharge Current ◽  
Inconel 718 ◽  
Removal Rate ◽  
Tool Wear Rate ◽  
Spark Erosion ◽  
Pulse On Time ◽  
Pulse Off Time

Electrical discharge machining with rotary tool is known as electric discharge drilling (EDD) which is being widely used for machining the difficult-to-cut materials like super alloy, ceramics and composite materials. Present research work has been introduced to find the impact of four influencing input factors discharge current (C), pulse off time ([Formula: see text]), pulse-on time ([Formula: see text]) and drill speed (S) on the response, tool wear rate (TWR), metal removal rate (MRR) and Centre line average value of surface roughness (Ra). The spark erosion drilling was performed on the Inconel 718 with rotating copper electrode. The major performances characteristics material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR) are to be evaluated with consultation of Response Surface Methodology (RSM) techniques. The central composite rotatable design (CCRD) has been reported to plan the experimental design and developing the model for prediction of data within the range of investigation. ANOVA test was also carried out to check the adequacy for development of models. It has been evaluated that discharge current, [Formula: see text], and [Formula: see text] have been found as most significant factors that effects on the performance measures. The models have 86.02, 84.29, and 83.15% values of correlation coefficient (R2) for MRR, TWR and Ra whereas the adjusted R2 (R2 adj) are 73.80%, 70.55%, and 68.41% for MRR, TWR and SR, respectively.

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

2016 ◽  
Vol 19 (2) ◽  
pp. 88-97
Author(s):  
Long Tien Banh ◽  
Phan Huu Nguyen ◽  
Cuong Ngo
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Taguchi Method ◽  
Electrical Discharge ◽  
Machining Process ◽  
Machining Parameters ◽  
Tool Wear Rate ◽  
Optimal Value ◽  
Pulse On Time ◽  
Pulse Off Time

Powder mixed electrical discharge maching (PMEDM) is a complex machining process which is controlled by a number of machining parameters. Each machining parameter has its own influence on performance of the process. For achieving the best performance of the electrical discharge machining (EDM) process, it is crucial to carry out parametric design responses such as Metal Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness(SR). The objective of this paper is to optimization of input parameters for the TWR in PMEDM using powder titanium are presented. The Taguchi method was applied to the processing parameters to investigate the following: workpiece material, tool material, polarity, pulse-on time, current, pulse-off time, and powder concentration. The analysis used the Taguchi method and given the optimal value for TWR with respective parameters. Electrode material affected the strongest factor, the Taguchi coefficient, S/N of TWR. And the optimal value of TWR was 3.092 mm3/min. Results from optimization calculations and experimentation have demonstrated high accuracy and efficiency.

CHARACTERIZATION OF ZrB2-SiC COMPOSITES WITH AN ANALYTICAL STUDY ON MATERIAL REMOVAL RATE AND TOOL WEAR RATE DURING ELECTRICAL DISCHARGE MACHINING

2016 ◽  
Vol 40 (3) ◽  
pp. 331-349 ◽  
Author(s):  
S. Sivasankar ◽  
R. Jeyapaul
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Relative Density ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Tool Wear Rate ◽  
Tool Materials

This research work concentrates on Electrical Discharge Machining (EDM) performance evaluation of ZrB2- SiC ceramic matrix composites with different tool materials at various machining parameters. Monolithic ZrB2 possesses lower relative density (98.72%) than composites. ZrB2 with 20 Vol.% of SiC possesses 99.74% of the relative density with improved hardness values. Bend strength and Young’s modulus increase with SiC addition until it reaches 20 Vol% and then decreasing. EDM performance on tool materials of tungsten, niobium, tantalum, graphite and titanium at various levels of pulse on time and pulse off time are analyzed. Graphite produces the best Material removal rate (MRR) for all the workpieces. Tool wear rate decreases with melting point and thermal conductivity of the tool material.

Fabrication and experimental investigation of magnetic field assisted powder mixed electrical discharge machining on machining of aluminum 6061 alloy

2019 ◽  
Vol 233 (12) ◽  
pp. 2283-2291 ◽  
Author(s):  
Arun Kumar Rouniyar ◽  
Pragya Shandilya
Keyword(s):  
Magnetic Field ◽  
Wear Rate ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Tool Wear Rate ◽  
Pulse On Time

Magnetic field assisted powder mixed electrical discharge machining is a hybrid machining process with suitable modification in electrical discharge machining combining the use of magnetic field and fine powder in the dielectric fluid. Aluminum 6061 alloy has found highly significance for the advanced industries like automotive, aerospace, electrical, marine, food processing and chemical due to good corrosion resistance, high strength-to-weight ratio, ease of weldability. In this present work, magnetic field assisted powder mixed electrical discharge machining setup was fabricated and experiments were performed using one factor at a time approach for aluminum 6061 alloy. The individual effect of machining parameters namely, peak current, pulse on time, pulse off time, powder concentration and magnetic field on material removal rate and tool wear rate was investigated. The effect of peak current was found to be dominant on material removal rate and tool wear rate followed by pulse on time, powder concentration and magnetic field. Increase in material removal rate and tool wear rate was observed with increase in peak current, pulse on time and a decrease in pulse off time, whereas, for material removal rate increases and tool wear rate decreases up to the certain value and follow the reverse trend with an increase in powder concentration. Material removal rate was increased and tool wear rate was decreased with increase in magnetic field.

Analysis of MRR and TWR on OHNS Die Steel with Different Electrodes Using Electrical Discharge Machining

2016 ◽  
Vol 22 ◽  
pp. 112-120 ◽  
Author(s):  
S. Nallusamy
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Dielectric Fluid ◽  
Work Piece ◽  
Tool Wear Rate

Electrical Discharge Machining is a machining method primarily used for hard metals or those that are impossible to be machined with traditional techniques. The experimental investigation of material removal rate and tool wear rate during machining of oil hardened non-shrinking steel with brass and copper electrodes using EDM machine was carried out in this paper. This investigation presents the analysis and evaluation of heat affected zones and surface finish of the work piece using different tool electrodes and varying the machine parameters. The commercial grade kerosene oil has been used as dielectric fluid. The effect of various important EDM parameters such as discharge current (Ip) 2 to12A, pulse duration (Ton and Toff) and sparking voltage (V) of 80±5% have been used to yield the response in terms of Material Removal Rate (MRR) and Tool Wear Rate (TWR). Further a detailed analysis of the heat affected regions was also been carried out by using scanning electron microscopy.

scholarly journals On the Influence of Electrical Discharge Drilling Parameters and Per-formance Measures of Inconel 718 Superalloy - a Study

Mechanika ◽  
2021 ◽  
Vol 27 (6) ◽  
pp. 483-491
Author(s):  
Jayaraj JEEVAMALAR ◽  
Sundaresan RAMABALAN ◽  
Jayaraj JANCIRANI
Keyword(s):  
Inconel 718 ◽  
Electrical Discharge ◽  
Removal Rate ◽  
Experimental Results ◽  
Drilling Process ◽  
Machining Parameters ◽  
Characteristic Analysis ◽  
Peak Current ◽  
Electrical Discharge Drilling ◽  
The Impact

In order to achieve higher productivity and product quality, the investigation of machining parameters on Electrical Discharge Drilling and surface characteristic analysis are most critical for manufacturing industries. The intention of this article is to assess the impact on performance matrices including Material Removal Rate, and Surface Roughness of input factors of peak current, pulse-on and off duration while drilling with a rotary hollow copper tool on Inconel 718 under Tungsten powder suspended kerosene. Analysis of Variance has been implemented using MINITAB release 18 software to identify the most significant input factors. An Artificial Neural Network was used for validating the experimental results of the drilling process. The additional intention of this research is to discover the significance of influencing input parameters and analyze the quality surface of the workpiece were observed by microscope tests. The experimental results indicated that the peak current and pulse-on period have an effect on the performance of the drilling process considerably.

PENGARUH PARAMETER PROSES EDM DIE SINKING TERHADAP LAJU PELEPASAN BAHAN DAN LAJU KEAUSAN ELEKTRODA

2019 ◽  
Vol 1 (2) ◽  
pp. 105-112
Author(s):  
Nafsan Upara ◽  
Dimas Anugrah Destianto
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Orthogonal Array ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Tool Wear Rate

Electrical Discharge Machining (EDM) merupakan pemesinan nonkonvensional yang memanfaatkan proses konversi listrik dan panas, dimana energi listrik digunakan untuk memunculkan loncatan bunga api dan proses pelepassan bahan terjadi akibat energi panas yang ditimbulkan dari bunga api tersebut.Keausan elektroda pada proses EDM die sinking merupakan peristiwa yang tidak dapat di hindari, namun dengan mengatur parameter pemotongan yang sesuai, diharapkan keausan yang terjadi pada elektroda se-minim mungkin dan pemakanan benda kerja semaksimal mungkin sehingga didapati tingkat akurasi ukuran pada benda kerja. Pada penelitian ini menggunakan metode Taguchi  dengan L8 orthogonal array memakai elektroda bahan tembaga dan benda kerja material SKS 3. S/N ratio dan ANOVA menentukan performa parameter proses EDM dengan respon yang di teliti adalah Material Removal Rate (MRR) dan Tool Wear Rate (TWR). Hasil dari eksperimen tersebut menghasilkan parameter optimum Aruslevel 2= 6 A; Ponlevel 1=100 µs dan Pofflevel 1=50µs.

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