scholarly journals Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Venkata N. Raju Jampana ◽  
P. S. V. Ramana Rao ◽  
A. Sampathkumar
Keyword(s):  
Neural Network ◽  
Removal Rate ◽  
Machining Process ◽  
Electric Discharges ◽  
Process Performance ◽  
Test Results ◽  
Machining Processes ◽  
Thermal Investigation ◽  
Edm Process ◽  
Powder Mixed Edm

Electric discharge machining (EDM) process is one of the earliest and most extensively used unconventional machining processes. It is a noncontact machining process that uses a series of electric discharges to remove material from an electrically conductive workpiece. This article is aimed to do a comprehensive experimental and thermal investigation of the EDM, which can predict the machining characteristic and then optimize the output parameters with a newly integrated neural network-based methodology for modelling and optimal selection of process variables involved in powder mixed EDM (PMEDM) process. To compare and investigate the effects caused by powder of differently thermo physical properties on the EDM process performance with each other as well as the pure case, a series of experiments were conducted on a specially designed experimental setup developed in the laboratory. Peak current, pulse period, and source voltage are selected as the independent input parameters to evaluate the process performance in terms of material removal rate (MRR) and surface roughness (Ra). In addition, finite element method (FEM) is utilized for thermal analysis on EDM of stainless-steel 630 (SS630) grade. Further, back propagated neural network (BPNN) with feed forward architecture with analysis of variance (ANOVA) is used to find the best fit and approximate solutions to optimization and search problems. Finally, confirmation test results of experimental MRR are compared using the values of MRR obtained using FEM and ANN. Similarly, the test results of experimental Ra also compared with obtained Ra using ANN.

COMPUTATIONAL FLUID DYNAMIC SIMULATION OF THE NANOELECTRICAL DISCHARGE MACHINING PROCESS

NANO ◽  
2011 ◽  
Vol 06 (06) ◽  
pp. 561-568 ◽  
Author(s):  
G. TAHMASEBIPOUR ◽  
Y. TAHMASEBIPOUR ◽  
M. GHOREISHI
Keyword(s):  
Pulse Duration ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Fluid Dynamic ◽  
Average Power ◽  
Machining Process ◽  
Process Conditions ◽  
Machining Processes ◽  
Experimental Conditions ◽  
Edm Process

Electrical discharge machining (EDM) process is one of the advanced machining processes that can machine the various complex shapes from all conductor and semiconductor materials. Wide and diverse applications of Micro-EDM process in microfabrication and micro- to nano-miniaturization tendency is promising application of Nano-EDM process in nanofabrication. The Nano-EDM is a precise, sensitive and costly process. Therefore, simulation of nanocrater produced by each spark in this process prevents spending extra time and cost to perform Nano-EDM process through trial and error method. In this paper nanocrater machined by the Nano-EDM process on a gold nanofilm is simulated under practically experimental conditions. Radius, depth and volume of the nanocrater are evaluated versus process conditions (average power and pulse duration) and workpiece thickness (50 nm, 100 nm and 300 nm). It is observed that radius of the nanocrater is increased exponentially with increasing spark pulse duration. Also, depth, volume of the removed material from the workpiece surface and material removal rate (MRR) are increased with increasing consumed energy by each spark. By increasing thickness of the nanofilm, volume of the removed material and dimensions of the nanocrater are decreased.

scholarly journals Metaheuristic Approach of Multi-Objective Optimization during EDM Process

2018 ◽  
Vol 3 (3) ◽  
pp. 301-314 ◽  
Author(s):  
Goutam Kumar Bose ◽  
Pritam Pain
Keyword(s):  
Regression Analysis ◽  
Removal Rate ◽  
Test Results ◽  
Multi Objective Optimization ◽  
Machining Processes ◽  
Multi Objective ◽  
Contour Plots ◽  
The Individual ◽  
Pulse On Time ◽  
Edm Process

In modern-day manufacturing Electric Discharge Machining (EDM) process has successfully placed itself in the domain of precision machining and generating complex geometries where secondary machining processes are eliminated. In this research paper, a die sinking EDM is applied to machine mild steel in order to measure the different multi-objective results like Material Removal Rate (MRR) and Over Cut (OC). This contradictory objective is accomplished by using the control parameters like a pulse on time, duty factor, gap current and spark gap employing copper tool with lateral flushing. Here the individual objective function of the responses is created through regression analysis. Primarily the contradictory objectives are optimized by employing Taguchi Methodology, then Regression analysis is done on the test results. Additionally, the experimental results are optimized using Response Surface Methodology (RSM). It is followed by a multi-objective optimization through Overlaid contour plots and Desirability functions to ascertain the best parametric combination amongst the set of feasible alternatives.

Experimental Study of Machining of Shape Memory Alloys Using Dry Micro Electrical Discharge Machining Process

2018 ◽  
Author(s):  
Sagil James ◽  
Sharadkumar Kakadiya
Keyword(s):  
Shape Memory Alloys ◽  
Shape Memory ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Dielectric Medium ◽  
Machining Process ◽  
Machining Processes ◽  
Micro Electrical Discharge Machining

Shape Memory Alloys are smart materials that tend to remember and return to its original shape when subjected to deformation. These materials find numerous applications in robotics, automotive and biomedical industries. Micromachining of SMAs is often a considerable challenge using conventional machining processes. Micro-Electrical Discharge Machining is a combination of thermal and electrical processes, which can machine any electrically conductive material at micron scale independent of its hardness. It employs dielectric medium such as hydrocarbon oils, deionized water, and kerosene. Using liquid dielectrics has adverse effects on the machined surface causing cracking, white layer deposition, and irregular surface finish. These limitations can be minimized by using a dry dielectric medium such as air or nitrogen gas. This research involves the experimental study of micromachining of Shape Memory Alloys using dry Micro-Electrical Discharge Machining process. The study considers the effect of critical process parameters including discharge voltage and discharge current on the material removal rate and the tool wear rate. A comparison study is performed between the Micro-Electrical Discharge Machining process with using the liquid as well as air as the dielectric medium. In this study, microcavities are successfully machined on shape memory alloys using dry Micro-Electrical Discharge Machining process. The study found that the dry Micro-Electrical Discharge Machining produces a comparatively better surface finish, has lower tool wear and lesser material removal rate compared to the process using the liquid as the dielectric medium. The results of this research could extend the industrial applications of Micro Electrical Discharge Machining processes.

Neural Network Based Modelling and GRA Coupled PCA Optimization of Hole Sinking Electro Discharge Micromachining

2014 ◽  
Vol 4 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Rajesh Kumar Porwal ◽  
Vinod Yadava ◽  
J. Ramkumar
Keyword(s):  
Neural Network ◽  
Removal Rate ◽  
Hybrid Approach ◽  
Back Propagation ◽  
Principal Component ◽  
Back Propagation Neural Network ◽  
Point Of View ◽  
Operating Conditions ◽  
Process Performance

Determination of material removal rate (MRR), tool wear rate (TWR) and hole taper (Ta) is a challenging task for manufacturing engineers from the productivity and accuracy point of view of the symmetrical and nonsymmetrical holes due to hole sinking electro discharge micro machining (HS-EDMM) process. Thus, mathematical models for quick prediction of these aspects are needed because experimental determinations of process performances are always tedious and time consuming. Not only prediction but determination of optimum parameter for optimization of process performance is also required. This paper attempts to apply a hybrid mathematical approach comprising of Back Propagation Neural Network (BPNN) for prediction and Grey Relational Analysis (GRA) coupled with Principal Component Analysis (PCA) for optimization with multiple responses of HS-EDMM of Invar-36. Experiments were conducted to generate dataset for training and testing of the network where input parameters consist of gap voltage, capacitance of capacitor and the resulting performance parameters MRR, TWR and Ta. The results indicate that the hybrid approach is capable to predict process output and optimize process performance with reasonable accuracy under varied operating conditions of HS-EDMM. The proposed approach would be extendable to other configurations of EDMM processes for different material.

Reduction of Vibrations due to Unbalance with Anti-Vibration Clearance Angle in High Speed Milling

2016 ◽  
Vol 836-837 ◽  
pp. 161-167
Author(s):  
Anna Thouvenin ◽  
Xin Li ◽  
Ning He ◽  
Liang Li
Keyword(s):  
Material Removal ◽  
High Speed ◽  
Removal Rate ◽  
Machining Process ◽  
High Speed Machining ◽  
Machining Processes ◽  
High Speed Milling ◽  
Clearance Angle ◽  
Fast Solution ◽  
Considerable Problem

High speed milling is one of the most commonly used machining processes in many fields of the industry. It is regarded as a simple and fast solution to achieve a high material removal rate, which allows an important production of parts. Unbalance is a problem in any machining process but becomes a considerable problem when reaching high speed machining. The vibrations due to an unbalanced tool or tool holder can result in a poor surface quality and a damaged tool. The damping of the vibrations can be achieved with a specially designed tool showing an anti-vibration clearance angle. This paper shows the influence of the anti-vibration clearance angle by a computational model and a set of experiments to see if it can reduce or suppress the vibrations due to unbalance in high speed milling.

Enhancing the Surface Quality by Iso Pulse Generator in EDM Process

2012 ◽  
Vol 622-623 ◽  
pp. 380-384 ◽  
Author(s):  
T. Muthuramalingam ◽  
B. Mohan
Keyword(s):  
Surface Finish ◽  
Material Removal ◽  
Pulse Generator ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Discharge Energy ◽  
Crater Volume ◽  
Machining Characteristics ◽  
Edm Process

In automobile and aeronautical industries, complex moulds and dies is produced by Electrical Discharge Machining process. The surface finish is determined by the crater volume in EDM process. The amount of crater volume is influenced by the amount and distribution of discharge energy. The discharge energy is directly proportional to the average discharge current. This amount of current is determined by the duration of discharging effect. This study deals about evaluating the performance of iso current pulse generator on machining characteristics in EDM. Due to its ability of reducing stochastic nature in EDM process, iso pulse generator could produce better surface finish than conventional transistor pulse train generator with higher material removal rate.

Research of PZT Excited Discharge Channel Compression Micro-EDM Techniques

2013 ◽  
Vol 645 ◽  
pp. 363-366
Author(s):  
Lian Ming Du ◽  
Qin He Zhang ◽  
Jian Hua Zhang ◽  
Ya Zhang
Keyword(s):  
Discharge Channel ◽  
Removal Rate ◽  
New Technology ◽  
Machining Process ◽  
Micro Edm ◽  
System Composition ◽  
The Stability ◽  
Discharge Gap ◽  
Edm Process ◽  
Sync Pulse

In micro-EDM, the debris generated in machining process is difficult to be moved from the discharging gap, the discharge state is instability, and the material removal rate is low. A new method of PZT incentive synchronous compression discharge channel micro-EDM is presented based on the inverse piezoelectric effect of PZT piezoelectric ceramics, using a spark discharge and PZT sync pulse power. In this paper, the system composition and machining principles are described in detail, and its machining mechanism is analyzed in terms of the experiments. By the experiments, it is certificated that on the process of PZT sync compressing discharge channel machining, the state of discharge gap, the machining efficiency and quality can be improved, the throw out of debris makes easier, and then the stability of micro-EDM process is raised, which indicated that this new technology has wide application prospect in the field of micro manufacturing.

scholarly journals Recent Advances and Perceptive Insights into Powder-Mixed Dielectric Fluid of EDM

Micromachines ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 754 ◽  
Author(s):  
Asarudheen Abdudeen ◽  
Jaber E. Abu Qudeiri ◽  
Ansar Kareem ◽  
Thanveer Ahammed ◽  
Aiman Ziout
Keyword(s):  
Tool Wear ◽  
Metal Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Dielectric Fluid ◽  
Dielectric Fluids ◽  
Advanced Machining ◽  
Low Efficiency ◽  
Edm Process ◽  
Powder Mixed Edm

Electrical discharge machining (EDM) is an advanced machining method which removes metal by a series of recurring electrical discharges between an electrode and a conductive workpiece, submerged in a dielectric fluid. Even though EDM techniques are widely used to cut hard materials, low efficiency and high tool wear remain remarkable challenges in this process. Various studies, such as mixing different powders to dielectric fluids, are progressing to improve their efficiency. This paper reviews advances in the powder-mixed EDM process. Furthermore, studies about various powders used for the process and its comparison are carried out. This review looks at the objectives of achieving a more efficient metal removal rate, reduction in tool wear, and improved surface quality of the powder-mixed EDM process. Moreover, this paper helps researchers select suitable powders which are exhibiting better results and identifying different aspects of powder-mixed dielectric fluid of EDM.

scholarly journals Study on the Influence of Metallic Powder in Near-Dry Electric Discharge Machining

2020 ◽  
Vol 66 (4) ◽  
pp. 243-253 ◽  
Author(s):  
Sanjay Sundriyal ◽  
Vipin ◽  
Ravinderjit Singh Walia
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Dielectric Medium ◽  
Metallic Powder ◽  
Machining Process ◽  
Electric Discharge Machining ◽  
En 31 ◽  
Edm Process ◽  
Dry Electrical Discharge Machining

Near-dry electrical discharge machining (ND-EDM) is an eco-friendly process. In this study, an approach has been made to make the machining process more efficient than ND-EDM with the addition of metallic powder with the dielectric medium to machine EN-31 die steel. Powdermixed near-dry EDM (PMND-EDM) has several advantages over the ND-EDM or conventional electrical discharge machining (EDM) process, such as a higher material removal rate (MRR), fine surface finish (Ra), sharp cutting edge, lesser recast layer, and lower deposition of debris. The output response variables are MRR, Ra, residual stress (RS) and micro-hardness (MH) of the machined surfaces. Further study of the workpiece was performed, and a comparative study was conducted between ND-EDM and PMND-EDM. In this proposed method of machining, the MRR, Ra, and MH increased by 17.85 %, 16.36 %, and 62.69 % while RS was reduced by 56.09 %.

Electrical arc machining: Process capabilities and current research trends

2019 ◽  
Vol 233 (15) ◽  
pp. 5190-5200 ◽  
Author(s):  
Pankaj Kumar Shrivastava ◽  
Shrihar Pandey ◽  
Shivam Dangi
Keyword(s):  
Removal Rate ◽  
Machining Process ◽  
Advanced Materials ◽  
Future Research ◽  
Machining Processes ◽  
Workpiece Material ◽  
Electrical Arc ◽  
Control Factors ◽  
Conductive Ceramics ◽  
Unconventional Machining

Electrical arc machining is the thermal energy-based unconventional machining process, which utilizes energy of arc to melt and vaporize workpiece material. Electrical arc machining has the capability to machine advanced materials such as metal matrix composites, superalloys, and conductive ceramics effectively. The process is considered to be efficient than most of the other unconventional machining processes in terms of the material removal rate. But it has got limitations because it results in a very poor surface finish. Tool wear rate, recast layer formation, surface and subsurface cracks, and geometrical inaccuracy are other limitations up to a certain extent. In this paper, the comprehensive review of research carried out so for in the area of electrical arc machining has been presented. The paper discusses the detailed experimental and theoretical studies done on electrical arc machining to elucidate the effects of various input control factors on different quality characteristics. The paper also contains modeling and optimization studies done so far in electrical arc machining and finally discusses the future research possibilities in the area.

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