Process Simulation of Electrochemical Machining of Convexity Structure on Revolving Workpiece

2015 ◽  
Author(s):  
Zengwei Zhu ◽  
Dengyong Wang ◽  
Jun Bao ◽  
Di Zhu
Keyword(s):  
Mathematical Model ◽  
Process Simulation ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Machining Process ◽  
Relative Rotation ◽  
Electrode Gap ◽  
Simulation Results

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.

scholarly journals The effects of the process parameters in electrochemical machining on the surface quality

2020 ◽  
Vol 3 (SI1) ◽  
pp. First
Author(s):  
Nguyen Thi Bich Nhung ◽  
Dao Thanh Liem ◽  
Truong Quoc Thanh
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Electrolyte Concentration ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Electrode Gap

Based on the number of previous studies, this study aims to investigate the effects of process parameters of an Electrochemical Machining process, which are electrolyte concentration, the voltage applied to the machine, feed rate of the electrode, and Inter-Electrode Gap between tool and workpiece. Aluminum samples of 25 mm diameter x 25 mm height and 30mm diameter x 25mm height of the tool is made up of copper with a circular cross-section with 2 mm internal hole. The design of the system is based on the Taguchi method. Here, the signal-to-noise (S/N) model, the analysis of variance (ANOVA) and regression analyses are applied to determine optimal levels and to investigate the effects of these parameters on surface quality. Finally, the experiments that use the optimal levels of machining parameters are conducted to verify the effects of the process parameters on the surface quality of the products. The results pointed out a set of optimal parameters of the ECM process. The Inter-Electrode Gap between the tool and workpiece has extremely effected on these Material Removal rates and surface roughness. The Material Removal Rate increases with diseases in Inter-Electrode Gap, and Ra diseases with diseases in Inter-Electrode Gap. The experimental results show that maximum Material Removal Rate has obtained with electrolyte concentration at 100 g/l, feed rate at 0.0375 mm/min, the voltage at 15V, and Inter-Electrode Gap at 0.5mm. The minimum Ra has obtained with electrolyte concentration at 80 g/l, feed rate at 0.0468 mm/min, the voltage at 10V, and Inter-Electrode Gap at 0.5mm. This result has led to need studies on these parameters in Electrochemical Machining, which are improving productivities and surface roughness of the products.   

scholarly journals Multi-Objective Process Parameter Optimization for Surface Roughness and Material Removal Rate in Face Milling of Al 6061 T6 Alloy

2019 ◽  
Vol 9 (2) ◽  
pp. 137-142
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Face Milling ◽  
Machining Process ◽  
Depth Of Cut ◽  
Al 6061

This study uses Taguchi methodology and Gray Relational Analysis approach to explore the optimization of face milling process parameters for Al 6061 T6 alloy.Surface Roughness (Ra), Material Removal Rate (MRR) has been identified as the objective of performance and productivity.The tests were performed by selecting cutting speed (mm / min), feed rate (mm / rev) and cutting depth (mm) at three settings on the basis of Taguchi's L9 orthogonal series.The grey relational approach was being used to establish a multiobjective relationship between both the parameters of machining and the characteristics of results. To find the optimum values of parameters in the milling operation, the response list and plots are used and found to be Vc2-f1-d3. To order to justify the optimum results, the confirmation tests are performed.The machining process parameters for milling were thus optimized in this research to achieve the combined goals such as low surface roughness and high material removal rate on Aluminum 6061 t6.It was concluded that depth of cut is the most influencing parameter followed by feed rate and cutting velocity.

scholarly journals Improve the Material Removal Rate of Electrochemical Grinding on Monel 400 Using RSM

2019 ◽  
Vol 8 (2) ◽  
pp. 3219-3222
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Machining Process ◽  
Depth Of Cut ◽  
Grinding Wheel ◽  
Mechanical Grinding ◽  
Monel 400 ◽  
Electrochemical Grinding

Electrochemical grinding is combination of electrochemical machining and mechanical grinding process.in this process 90%-98% percentage of material are removed by electrochemical machining, only 3%-5% of materials can only remove by mechanical grinding process. Faradays law of electrolysis (or) reverse electroplating act as a basic principle for this ECG process. This ECG has various advantages than other machining process for high strength materials .low induvial stress, large depth of cut .here Monel 400 alloy take base material ,its Ni-Cu alloy so it’s have very high level corrosion resistance, so it’s used in marine engineering ,heat exchanger. Here silicon carbide abrasive insulated brass grinding wheel used instead of copper bonded diamond wheel. Voltage, electrolyte concentration, electrolyte flowrate take are the parameters of this process. Three factors and two levels of RSM methodology takes for optimization. The Analysis of variance (ANOVA) has been delivers the variation between the parameters performed to develop mathematical model. The parameters high voltage and concentration of electrolyte to produce maximum material removal rate.

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.

Analysis and Validation of Erosion Process by Sea Sand as an Abrasive Material by Using Regression Model and Neural Network in Abrasive Jet Machining Process for Alumina

2014 ◽  
Vol 592-594 ◽  
pp. 854-858
Author(s):  
N.S. Pawar ◽  
R.R. Lakhe ◽  
R.L. Shrivastava
Keyword(s):  
Regression Model ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Variable Pressure ◽  
Work Piece ◽  
Abrasive Jet Machining ◽  
Mixing Chamber ◽  
Micro Grooving

According to the most of the studies dealing with micro grooving, cutting, leading to lower material removal Abrasive jet machining is traditional process. Invention was made to create those needs. A number of investigation or researches were carried out by imminent personality but no detailed information and design has provided about cylindrical vibrating chamber or mixing chamber. This change in shape gives better velocity to abrasive particles and non sticking characteristic gives the better effect of erosion of material on work piece and scattering of particle towards objects. The parameter stand off distance, variable pressure, material removal rate used for this experimental study has also moderate. The work carried out with Alumina nozzle. The abrasive powder feed rate is controlled by the amplitude of mixing chamber. The root mean square value is 0.988 in linear regression model. The estimated standard error is 0.00115 which is very less. The performance of sand gives the similar better model result as given by traditional using different parameter. The taper of cut is higher with this mixing particle and better feed rate.

scholarly journals Electrochemical machining – state of the art and direction of development

Mechanik ◽  
2017 ◽  
Vol 90 (12) ◽  
pp. 1102-1109
Author(s):  
Adam Ruszaj
Keyword(s):  
Material Removal ◽  
Cathode Surface ◽  
Hydrogen Generation ◽  
Electrochemical Machining ◽  
Electrical Current ◽  
Machining Process ◽  
Advanced Materials ◽  
Electrode Gap ◽  
Machined Surface

Electrochemical machining process (ECM) can be applied for efficient shaping advanced materials conducting electrical current, which are difficult or impossible for machining using conventional methods. In electrochemical machining, the workpiece is an anode and material is removed as a result of electrochemical reactions “atom by atom” without mechanical forces. This mechanism of material removal make it possible to obtain high quality of machined surface layer with uniform properties. The very important advantage of ECM process is also the fact that there is not a tool wear (working electrode – cathode), because the equivalent reaction to anodic dissolution is hydrogen generation on cathode surface and hydrogen can be easily removed from, the inter-electrode gap by electrolyte flow. Because of this advantages, the ECM process is widely applied in space, aircraft, car and electromechanical industry and research stimulating ECM development are carried out.

Multi Criteria Optimization of Electrochemical Discharge Micro-Machining Process during Micro-Channel Generation on Glass

2014 ◽  
Vol 592-594 ◽  
pp. 525-529 ◽  
Author(s):  
B. Mallick ◽  
B.R. Sarkar ◽  
B. Doloi ◽  
B. Bhattacharyya
Keyword(s):  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Micro Channel ◽  
Micro Machining ◽  
Electrode Gap ◽  
Electrochemical Discharge ◽  
Fluidic Device ◽  
Curve Profile ◽  
Machining Rate

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.

scholarly journals Flushing Enhancement with Vibration and Pulsed Current in Electrochemical Machining

2017 ◽  
Vol 2 (4) ◽  
pp. 67-85 ◽  
Author(s):  
Zhujian Feng ◽  
Jesus Manuel Orona-Hinojos ◽  
Pedro Perez Villanueva ◽  
Paul Lomeli ◽  
Wayne NP Hung
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Three Dimensional ◽  
Electrochemical Machining ◽  
Low Frequency ◽  
Steel Plates ◽  
Electrode Gap ◽  
Taper Angle ◽  
Low Frequency Vibration

This research aims to understand flushing of by-products in electrochemical machining (ECM) by modeling and experimentally verifying mechanism of particle transport in inter-electrode gap under low frequency vibration. A series of hole were drilled on steel plates to evaluate the effect of vibration on material removal rate and hole quality. Infinite focus optical technique was used to capture and analyze the three-dimensional images of ECM'ed features. Experimental results showed that maximum machining depth and minimum taper angle can be achieved when vibrating the workpiece at 40 Hz and 10 µm amplitude. Simulation results showed that the highest average flushing speed of 0.4 m/s was obtained at this vibration frequency and amplitude. Machining depth and material removal rate has a positive correlation with the average flushing speed. Sharper ECM’ed profile is obtained since the taper angle is favorably reduced at high average flushing speed.

scholarly journals Effect on Material Removal Rate and Surface Finish in ECM Process When Machining Stainless Steel-316 with Cu Electrode

2019 ◽  
Vol 8 (4) ◽  
pp. 2933-2941
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Process Parameters ◽  
Surface Finish ◽  
Feed Rate ◽  
Electrolyte Concentration ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Machining Process ◽  
Machining Processes

Electrochemical Machining process is one of the popular non-traditional machining processes which is used to machine materials such as super alloys, Ti-alloys, stainless steel etc. Its working principle is based upon Faraday law of electrolysis. The aim of the present work is to optimize the ECM process parameters with the combination of SS 316 (job material) and Copper electrode (tool material). To explore the effect of ECM process parameters such as electrolyte concentration, voltage and current, feed rate on MRR and surface finish (Ra) of the job, total 27 experiments were conducted as per experimental scheme. The results of these experiments revealed that increase in electrolyte concentration decrease the mrr and surface roughness initially increases then decreases. Further, increase in current increases mrr initially and then decreases, surface roughness also increases. It is also noticed that increase in Feed rate mrr decreases and then increases, also surface roughness decreases then increases. Through RSM analysis it is found that the optimum conditions for maximum MRR, and minimum Surface roughness (Ra) is electrolyte concentration 150gm/lit, Voltage 13.5 V & feed 0.8 mm/min. The findings are discussed in the light of previous researches and subsequently conclusions are drawn.

Sign in / Sign up

Export Citation Format

Share Document