scholarly journals Enhancement of machinability of titanium alloy in the Eductor based PMEDM process

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
S. Jeavudeen ◽  
H. Siddhi Jailani ◽  
M. Murugan
Keyword(s):  
Titanium Alloy ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Electric Discharge Machining ◽  
Powder Mixing ◽  
Dielectric Mixture ◽  
Confirmation Test ◽  
Delivery Pressure ◽  
Made In

AbstractIn this study, an attempt has been made in PMEDM process to sustain the homogeneity in the powder-dielectric mixture irrespective of the nature of the powders, their particle size, concentration etc., The traditional way of powder mixing system in Powder Mixing Electric Discharge Machining (PMEDM) has been refurbished with a novel Eductor based system along with a metering devise to ensure uniform mixing of the powers with the dielectric. Additionally sintered crucible filtration test on the sample of powder-dielectric mixture ensured the presence of known quantity of powders in the dielectric. The experiments are conducted on Titanium alloy with Gap current, Duty factor, Delivery pressure, powder types (Alumina, Silica, and copper) and concentration of these powders as variable process parameters. The output responses, namely material removal rate, tool wear index and surface finish obtained during the machining process have been optimized using AHP-TOPSIS method. The confirmation test indicated that the closeness co-efficient value for the TOPSIS analysis improved by 2.37% compared with the predicted value.

Experimental Investigation of Sunflower Oil as Dielectric Fluid in Die Sinking Electric Discharge Machining Process

2019 ◽  
Vol 969 ◽  
pp. 715-719
Author(s):  
G. Gowtham Reddy ◽  
Balasubramaniyan Singaravel ◽  
K. Chandra Shekar
Keyword(s):  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Dielectric Fluid ◽  
Machining Performance ◽  
Electric Discharge Machining ◽  
Dielectric Fluids ◽  
Pulse On Time ◽  
Pulse Off Time

Electric Discharge Machining (EDM) is used to machine complex geometries of difficult to cut materials in the area of making dies, mould and tools. Currently, hydrocarbon based dielectric fluids are used in EDM and which plays major role for material removal and it emits harmful emission. In this work, vegetable oil is attempted as dielectric fluid and their performance are studied during processing of AISI P20 steel. The effect of pulse on time (Pon) , pulse off time (Poff), and current (A) on Material Removal Rate (MRR), Tool wear rate (TWR) and surface roughness (SR) are analyzed. The result showed that vegetable oils are given good machining performance than conventional dielectric fluids. These proposed dielectric fluids are biodegradable eco friendly and enhance sustainability in EDM process.

Experimental Investigation of Abrasive Waterjet Machining of Titanium Graphite Laminates

2016 ◽  
Vol 10 (3) ◽  
pp. 392-400 ◽  
Author(s):  
M. Ramulu ◽  
◽  
Vara Isvilanonda ◽  
Rishi Pahuja ◽  
Mohamed Hashish ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Titanium Alloy ◽  
High Temperature ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Abrasive Waterjet ◽  
Material System ◽  
Operating Variables

High temperature Fiber Metal Laminate – Titanium/Graphite (Ti/Gr) is an advanced material system, developed to meet the high temperature requirements in aerospace applications. High specific strength and stiffness of composite core along with its protection from aggressive environment by tough titanium alloy sheets qualify FMLs for a promising alternative material where metallic and composites overcome each other's limitations. However, industrial employability of this three phase system is often limited by the machining challenges posed by the difference in material removal mechanisms of Titanium alloy, PIXA thermoplastic polyimide resin and graphite fibers. An experimental investigation was conducted to evaluate the machinability of 1 mm thick Ti/Gr laminate sheets through Abrasive Waterjet (AWJ) machining process in terms of kerf characteristics and material removal rate. The parametric influence of AWJ operating variables on machining performance was studied by systematically measuring operating variables (traverse speed and Abrasive flow rate) using fully crossed Design of experiment (DOE) scheme, and statistically analyzing using ANOVA (Analysis of variance) technique. Empirical models were developed to quantify these effects and predict the influence of process parameters on material removal rate, kerf taper, entry damage width and overcut in straight cutting of Ti/Gr sheets.

Statistical analysis of material removal rate and surface roughness in electrical discharge turning of titanium alloy (Ti-6Al-4V)

2016 ◽  
Vol 232 (9) ◽  
pp. 1603-1614 ◽  
Author(s):  
Vikas Gohil ◽  
Yogesh M Puri
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Machining Parameters ◽  
Peak Current ◽  
Pulse On Time

Electrical discharge turning is a unique form of electrical discharge machining process, which is being especially developed to generate cylindrical forms and helical profiles on the difficult-to-machine materials at both macro and micro levels. A precise submerged rotating spindle as a work holding system was designed and added to a conventional electrical discharge machine to rotate the workpiece. A conductive preshaped strip of copper as a forming tool is fed (reciprocate) continuously against the rotating workpiece; thus, mirror image of the tool is formed on the circumference of the workpiece. The machining performance of electrical discharge turning process is defined and influenced by its machining parameters, which directly affects the quality of the machined component. This study presents an investigation on the effects of the machining parameters, namely, pulse-on time, peak current, gap voltage, spindle speed and flushing pressure, on the material removal rate (MRR) and surface roughness (Ra) in electrical discharge turning of titanium alloy Ti-6Al-4V. This has been done by means of Taguchi’s design of experiment technique. Analysis of variance as well as regression analysis is performed on the experimental data. The signal-to-noise ratio analysis is employed to find the optimal condition. The experimental results indicate that peak current, gap voltage and pulse-on time are the most significant influencing parameters that contribute more than 90% to material removal rate. In the context of Ra, peak current and pulse-on time come up with more than 82% of contribution. Finally, the obtained predicted optimal results were verified experimentally. It was shown that the error values are all less than 6%, confirming the feasibility and effectiveness of the adopted approach.

MCDM Model for Selection of Optimum Machining Process

2013 ◽  
Vol 773-774 ◽  
pp. 348-354 ◽  
Author(s):  
Sriram Srinivasan ◽  
Lakshmikanthan Srivatsan ◽  
Rajaram Sathyanarayan ◽  
B. Vijaya Ramnath
Keyword(s):  
Automobile Industry ◽  
Material Removal ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Machining Process ◽  
Machining Processes ◽  
Electric Discharge Machining ◽  
Analytical Hierarchical Process ◽  
Laser Beam Machining ◽  
Selection Of

The work of manufacturing engineers is to utilize the minimum amount of energy or resources in bringing out a product without compromising on quality. Hence, to achieve this, the engineers must figure out the optimum or the best possible method to fabricate a product. This paper uses a multi criteria decision making (MCDM) model namely Analytical Hierarchical Process (AHP) to determine the best possible machining process to achieve the optimum results for an engraving operation on gear face in an automobile industry which uses five nontraditional machining processes viz; Laser Beam Machining (LBM), Ultrasonic Machining (USM), Electric Discharge Machining (EDM), Electrochemical Machining (ECM) and Electron Beam Machining (EBM). The five criteria considered in this paper are Material Removal Rate (MRR), Surface Finish, Depth Damage, Tolerance and Toxicity. The AHP result shows that ECM is the most suitable machining process as compared to others.

Electro-Thermal Modelling for Material Removal Study in Electric Discharge Machining Process

2015 ◽  
Author(s):  
Yash Pachaury ◽  
Puneet Tandon
Keyword(s):  
Material Removal Rate ◽  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Two Dimensional ◽  
Electric Discharge Machining ◽  
Element Analysis ◽  
Plasma Flushing Efficiency ◽  
Art Research

In the present study, an attempt has been made to model the electric discharge machining process using the numerical simulation technique. Realistic parameters are added in the model such as variable fraction of heat going to the electrodes, and variation in the plasma flushing efficiency with the process parameters. Gaussian distributed heat flux is applied at the spark location and the two-dimensional heat conduction equation is solved with the help of finite element analysis technique to determine the temperature distribution within the two-dimensional process continuum, using averaged thermo-physical properties of the work material. Melting isotherms are determined and the material removed during a single discharge is obtained from it. Material removal rate is determined using a regression model for the plasma flushing efficiency. Experimental validation is made with the help of highly precise AGIE SIT experimental data. The material removal rate is also compared with state of the art research of other researchers. It has been observed that, at low value of the discharge energies, the proposed model is able to predict the experimental material removal rate better than that of the model proposed by other researchers. However, as the discharge energy increases, the accuracy of prediction decreases. The model can be used for achieving process parameter optimization hence saving both the costs and large lead times associated with determining optimized parameters experimentally.

Optimization of Process Parameters in EDM Using Taguchi Method with Grey Relational Analysis and Topsis for Ceramic Composites

2016 ◽  
Vol 22 ◽  
pp. 83-93 ◽  
Author(s):  
M. Kalayarasan ◽  
M. Murali
Keyword(s):  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Ceramic Composites ◽  
Machining Process ◽  
Electric Discharge Machining ◽  
Relational Analysis ◽  
Grey Relational ◽  
Machining Parameter ◽  
Conventional Machining

Silicon Nitride-Titanium Nitride ceramic composites are newly advanced material having the properties of high hardness, strength, toughness and low density. These kinds of materials are challenging to machine by conventional machining process because it causes severe tool wear due to its properties. Since the materials can be machined by non-conventional machining process like laser cutting and water jet, but these processes are limited. Electric discharge machining shows higher capability for cutting complex shapes with high accuracy. The present work focuses to optimize the process parameter for maximum material removal rate and minimum electrode wear rate. The experimental studies were conducted under varying pulse on time, pulse off time, dielectric pressure and discharge current. Taguchi L9 orthogonal array was used to design the experiments. Grey relational analysis and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to optimize the process parameter and the results were validated by the confirmation tests. Thus the machining parameter for electric discharge machine was optimized to achieve higher material removal rate and lower rate on electrode. The result shows that the proposed technique is being effective to optimize the machining parameter for electric discharge machining process.

Machining performance of cryogenically treated Ti–5Al–2.5Sn titanium alloy in electric discharge machining: A comparative study

2016 ◽  
Vol 231 (11) ◽  
pp. 2017-2024 ◽  
Author(s):  
Sanjeev Kumar ◽  
Ajay Batish ◽  
Rupinder Singh ◽  
TP Singh
Keyword(s):  
Titanium Alloy ◽  
Material Removal Rate ◽  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Cryogenic Treatment ◽  
Machining Performance ◽  
Electric Discharge Machining ◽  
Machined Surface ◽  
Pulse On Time

In the present study, the effect of cryogenic treatment on the machining performance of Ti–5Al–2.5Sn alpha titanium alloy was investigated during electric discharge machining. Untreated, shallow cryogenically treated (−110 ℃), and deep cryogenically treated (−184 ℃) titanium alloys were machined by varying current and pulse-on-time. The machining performance was measured in terms of higher material removal rate and microhardness and low tool wear rate and surface roughness. The results showed a significant improvement in the machining performance with deep cryogenically treated alloy when compared with shallow and untreated alloy. Current and pulse-on-time also affected the machinability of titanium alloy. Higher material removal rate and microhardness were observed when titanium alloy was machined at high current and pulse-on-time. During machining, carbon was deposited on the machined surface due to the breakdown of hydrocarbon dielectric at high temperature thereby, affecting its properties.

Optimization of μEDM process assisted with rotating magnetic pulling force and ultrasonic vibration

2021 ◽  
pp. 095440892098440
Author(s):  
Gurpreet Singh ◽  
DR Prajapati ◽  
PS Satsangi
Keyword(s):  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Micro Electrical Discharge Machining ◽  
Pulling Force ◽  
Tool Rotation

The micro-electrical discharge machining process is hindered by low material removal rate and low surface quality, which bound its capability. The assistance of ultrasonic vibration and magnetic pulling force in micro-electrical discharge machining helps to overcome this limitation and increase the stability of the machining process. In the present research, an attempt has been made on Taguchi based GRA optimization for µEDM assisted with ultrasonic vibration and magnetic pulling force while µEDM of SKD-5 die steel with the tubular copper electrode. The process parameters such as ultrasonic vibration, magnetic pulling force, tool rotation, energy and feed rate have been chosen as process variables. Material removal rate and taper of the feature have been selected as response measures. From the experimental study, it has been found that response output measures have been significantly improved by 18% as compared to non assisted µEDM. The best optimal combination of input parameters for improved performance measures were recorded as machining with ultrasonic vibration (U1), 0.25 kgf of magnetic pulling force (M1), 600 rpm of tool rotation (R2), 3.38 mJ of energy (E3) and 1.5 mm/min of Tool feed rate (F3). The confirmation trail was also carried out for the validation of the results attained by Grey Relational Analysis and confirmed that there is a substantial improvement with both assistance applied simultaneously.

Schruppfräsbearbeitung von Verdichterscheiben/Milling of compressor disk - Identification of a cutting material and coating combination for high process reliability

2017 ◽  
Vol 107 (09) ◽  
pp. 674-680
Author(s):  
E. Prof. Abele ◽  
C. Hasenfratz ◽  
C. Praetzas ◽  
G. M. Schüler ◽  
C. Stark ◽  
...  
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Manufacturing Technology ◽  
Machining Process ◽  
Complex Task ◽  
Eine Hohe ◽  
Process Reliability ◽  
Rough Milling ◽  
Compressor Disk

Die Herstellung von Verdichterscheiben stellt hohe Ansprüche an die Fertigungstechnik. Neue, schwer zu zerspanende Materialien und Integralkonstruktionen erzeugen eine hohe Komplexität bei der Ausführung. Das Projekt „SchwerSpan“ stellt sich dieser Herausforderung und entwickelt einen Prozess zur Schruppfräsbearbeitung von Verdichterscheiben. Ziel des Projekts ist eine Reduktion der Werkzeugkosten bei erhöhtem Zeitspanvolumen.   The production of compressor disks places high demands on the manufacturing technology. A very complex task is created by new difficult-to-cut materials and integral components. The project “SchwerSpan” is taking on this task by developing a machining process for rough milling in the production of compressor disks. The aim of the process is to reduce the tool costs by increasing material removal rate.

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