Experimental Investigation on ECMM With Nimonic 75 Alloy for Prosthetic Component

Author(s):  
Pankaj Charan Jena ◽  
Barsarani Pradhan ◽  
Sudhansu Ranjan Das ◽  
D. Dhupal

Electrochemical micromachining is an advanced technology of recent trends of machining of hard and electrically conductive materials in micrometer and sub-micrometer scale. This manufacturing technique finds application in many technologically demanding industries: locomotive, biomedical, electronics, etc. However, due to very small inter-electrode gap, there is some limitation in using this machining process. This chapter aims at developing an optimized model for flow analysis of electrolyte in inter-electrode gap to obtain optimal process parameter for machining. Experimentation has been done to associate the findings of optimized output in ECMM such as material removal rate (MRR), overcut, and depth. Influence of voltage, feed rate, concentration, pulse on/pulse off ratio, and IEG investigated and finally optimized using response surface method. The effect of the process parameters are also analyzed using ANOVA.

2015 ◽  
Author(s):  
Zengwei Zhu ◽  
Dengyong Wang ◽  
Jun Bao ◽  
Di Zhu

A special electrochemical machining (ECM) process using a revolving cathode tool with hollow windows is presented. Unlike conventional sinking ECM, this presented ECM process fabricates the convexity structures on a revolving part by the relative rotation of anode workpiece and cathode tool. In this paper, a mathematical model is established to describe the evolution of the machining process, the finite element simulations of the new forming fashion are focused for the workpiece’s revolving surface and the convexity’s side profile. The simulation results show that both the cathode feed rate and the applied voltage have significant influence on the equilibrium inter-electrode gap and the material removal rate. The side profile of the convexity is related to radius of the cathode tool. It is expected that the equilibrium gap and steady removal rate could be achieved by optimizing the cathode feed rate and the voltage, the required side profile taper of the convexity could be obtained by selecting the proper tool radius.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
T. Praveena Gopinath ◽  
J. Prasanna ◽  
C. Chandrasekhara Sastry ◽  
Sandeep Patil

Abstract An attempt has been made to study the influence of magnetic field on the micro hole machining of Ti-6Al-4V titanium alloy using electrochemical micromachining (ECMM) process. The presence of magneto hydro dynamics (MHD) is accomplished with the aid of external magnetic field (neodymium magnets) in order to improve the machining accuracy and the performance characteristics of ECMM. Close to ideal solution for magnetic and nonmagnetic field ECMM process, the parameters used are as follows: concentration electrolyte of 15 g/l; peak current of 1.35 A; pulse on time of 400 s; and duty factor of 0.5. An improvement of 11.91–52.43% and 23.51–129.68% in material removal rate (MRR) and 6.03–21.47% and 18.32–33.09% in overcut (OC) is observed in ECMM of titanium alloy under the influence of attraction and repulsion magnetic field, respectively, in correlation with nonmagnetic field ECMM process. A 55.34% surface roughness factor reduction is ascertained in the hole profile in magnetic field-ECMM in correlation with electrochemical machined titanium alloy under nonmagnetic field environment. No machining related stress is induced in the titanium alloy, even though environment of electrochemical machining process has been enhanced with the presence of magnetic field. A slight surge in the compressive residual factor, aids in surge of passivation potential of titanium alloy, resulting in higher resistance to outside environment.


Author(s):  
Pankaj Charan Jena ◽  
Barsarani Pradhan ◽  
D. Dhupal

Electrochemical micromachining plays a vital role in the advanced machining domain. Particularly, it helps the medical industry in machining micro-level devices in hardened materials. Though it is maintaining a very small inter-electrode gap during machining, it is required to understand suitable machining parameters before machining. These parameters can be achieved by proper modeling and simulation. In this chapter, a model for flow analysis of electrolytes in inter-electrode gaps is designed to obtain optimal process parameters for machining. The geometric model used in this simulation consists of cylindrical workpiece, an inlet allowing the flow of sodium nitrate solution as electrolyte to the machining zone, and a cylindrical tool with a flat end. Electrolytic flow simulation is incorporated using computational fluid dynamics by ANSYS–CFX 15.0 for finding pressure variation, streamline velocity pattern, turbulent energy, and temperature contour in IEG. According to the CFD analysis, the passivation effect, stagnation effect, pressure, and temperature zone are studied.


2014 ◽  
Vol 592-594 ◽  
pp. 525-529 ◽  
Author(s):  
B. Mallick ◽  
B.R. Sarkar ◽  
B. Doloi ◽  
B. Bhattacharyya

Electrochemical Discharge micro-machining process appears better utility with greater effectiveness in the modern micro-machining industrial field. Electrochemical discharge micro-machining process is involved to generate micro-channel as well as curve profile on glass for utilization as micro-fluidic device. This paper shows second order mathematical modeling of correlation between the machining criteria such as machining rate as a form of material removal rate (MRR), overcut (OC), machining depth (MD) with various process parameters like applied voltage (V), electrolyte concentration (wt %) and inter-electrode gap (IEG) (mm). The analysis of variance (ANOVA) has been performed to find out the adequacy of the developed models.This paper also shows the multi objective optimization to achieve the optimal parametric combination for maximum MRR, MD and minimum OC using response surface methodology (RSM). Keywords:μ-ECDM,MRR,OC,MD,RSM,ANOVA,Glass.


Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5820
Author(s):  
Ankit Sharma ◽  
Vidyapati Kumar ◽  
Atul Babbar ◽  
Vikas Dhawan ◽  
Ketan Kotecha ◽  
...  

Electrical discharge machining (EDM) has recently been shown to be one of the most successful unconventional machining methods for meeting the requirements of today’s manufacturing sector by producing complicated curved geometries in a broad variety of contemporary engineering materials. The machining efficiency of an EDM process during hexagonal hole formation on pearlitic Spheroidal Graphite (SG) iron 450/12 grade material was examined in this study utilizing peak current (I), pulse-on time (Ton), and inter-electrode gap (IEG) as input parameters. The responses, on the other hand, were the material removal rate (MRR) and overcut. During the experimental trials, the peak current ranged from 32 to 44 A, the pulse-on duration ranged from 30–120 s, and the inter-electrode gap ranged from 0.011 to 0.014 mm. Grey relational analysis (GRA) was interwoven with a fuzzy logic method to optimize the multi-objective technique that was explored in this EDM process. The effect of changing EDM process parameter values on responses was further investigated and statistically analyzed. Additionally, a response graph and response table were produced to determine the best parametric setting based on the calculated grey-fuzzy reasoning grade (GFRG). Furthermore, predictor regression models for response characteristics and GFRG were constructed, and a confirmation test was performed using randomly chosen input parameters to validate the generated models.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 1161
Author(s):  
Nishant Kumar Singh ◽  
Sandeep Agrawal ◽  
Rajvardhan . ◽  
Yashvir Singh

Hard materials cannot be machined effectively by the individual machining process. In order to machine workpiece made from hard and stiff materials effectively a concept of Hybrid machining process (HMP) is originated. The HMP is an integration of two or more machining process to get the advantage of each individual process. HMP is used to machine  This study focuses on evolving a novel process using both oil and gas as dielectrics to analyse the effect on tool wear rate (TWR) and material removal rate (MRR). The flow of compressed gas through eccentric-hole rotating tool improved the debris removal from inter-electrode gap, hence it improve the flushing competence of the machining process. In this experimental investigation, the workpiece material is Al-20% SiC metal matrix composite (MMC) and the electrode material is copper. The experiments were conducted following the Taguchi method of design experiments. The effect of various machining parameters on MRR and TWR has been studied. The optimization of process parameter has also been done. The results of TWR and MRR are analysed using S/N ratio, ANOVA and main effect plots. The experimental results, revels that discharge current, gap voltage and pulse on time significantly affected MRR, and TWR. The experimental inference reveal that provision of compressed air through eccentric hole rotary tool has a positive effect on machinability of electrical discharge machining (EDM) process.  


Author(s):  
Divya Zindani ◽  
Nadeem Faisal ◽  
Kaushik Kumar

Electrochemical machining (ECM) is a non-conventional machining process that is used for machining of hard-to-machine materials. The ECM process is widely used for the machining of metal matrix composites. However, it is very essential to select optimum values of input process parameters to maximize the machining performance. However, the optimization of the output process parameters and hence the machining performance is a difficult task. In this chapter an attempt has been made to carry out single and multiple optimization of the material removal rate (MRR) and the surface roughness (SR) for the ECM process of EN19 using the particle swarm optimization (PSO) technique. The input parameter considered for the optimization are electrolyte concentration (%), voltage (V), feed rate (mm/min), and inter-electrode gap (mm). The optimum value of MRR and SR as found using the PSO algorithm are 0.1847 cm3/min and 25.0612, respectively.


Author(s):  
S. Chakraborty ◽  
S. Mitra ◽  
D. Bose

The recent scenario of modern manufacturing is tremendously improved in the sense of precision machining and abstaining from environmental pollution and hazard issues. In the present work, Ti6Al4V is machined through wire EDM (WEDM) process with powder mixed dielectric and analyzed the influence of input parameters and inherent hazard issues. WEDM has different parameters such as peak current, pulse on time, pulse off time, gap voltage, wire speed, wire tension and so on, as well as dielectrics with powder mixed. These are playing an essential role in WEDM performances to improve the process efficiency by developing the surface texture, microhardness, and metal removal rate. Even though the parameter’s influencing, the study of environmental effect in the WEDM process is very essential during the machining process due to the high emission of toxic vapour by the high discharge energy. In the present study, three different dielectric fluids were used, including deionised water, kerosene, and surfactant added deionised water and analysed the data by taking one factor at a time (OFAT) approach. From this study, it is established that dielectric types and powder significantly improve performances with proper set of machining parameters and find out the risk factor associated with the PMWEDM process.


Author(s):  
Gurpreet Singh ◽  
DR Prajapati ◽  
PS Satsangi

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.


2017 ◽  
Vol 107 (09) ◽  
pp. 674-680
Author(s):  
E. Prof. Abele ◽  
C. Hasenfratz ◽  
C. Praetzas ◽  
G. M. Schüler ◽  
C. Stark ◽  
...  

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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