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.

Modeling of Material Removal Mechanism in Micro Electric Discharge Milling of Ti-6Al-4V

2014 ◽  
Vol 592-594 ◽  
pp. 516-520 ◽  
Author(s):  
Basil Kuriachen ◽  
Jose Mathew
Keyword(s):  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Milling Process ◽  
Work Piece ◽  
Machining Parameters ◽  
Removal Mechanism ◽  
Material Removal Mechanism ◽  
Electric Discharge Milling

Micro EDM milling process is accruing a lot of importance in micro fabrication of difficult to machine materials. Any complex shape can be generated with the help of the controlled cylindrical tool in the pre determined path. Due to the complex material removal mechanism on the tool and the work piece, a detailed parametric study is required. In this study, the influence of various process parameters on material removal mechanism is investigated. Experiments were planned as per Response Surface Methodology (RSM) – Box Behnken design and performed under different cutting conditions of gap voltage, capacitance, electrode rotation speed and feed rate. Analysis of variance (ANOVA) was employed to identify the level of importance of machining parameters on the material removal rate. Maximum material removal rate was obtained at Voltage (115V), Capacitance (0.4μF), Electrode rotational Speed (1000rpm), and Feed rate (18mm/min). In addition, a mathematical model is created to predict the material removal

Magnetic Field Assisted Electrical Discharge Machining of AISI 4140

2014 ◽  
Vol 592-594 ◽  
pp. 479-483 ◽  
Author(s):  
Hemant Walkar ◽  
Vijaykumar S. Jatti ◽  
T.P. Singh
Keyword(s):  
Magnetic Field ◽  
Material Removal ◽  
High Efficiency ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Tool Material ◽  
Machining Process ◽  
Work Piece ◽  
Electrical Parameters ◽  
Machining Performance

Electric discharge machining (EDM) is a non-conventional machining process in which material removal take place by a series of electric spark generated between the small gap of both electrode and both immersed in dielectric medium. The gap conditions of EDM significntly affect the stability of machining process. Thus, the machining performance would be improved by removing the debris from the machining gap fastly. In view of this, the objective of present work was to investigate the effect of magnetic field on the material removal rate (MRR) and surface roughness (SR), in conjunction with the variation of electrical parameters like pulse on-off times and gap current, while keeping other electrical parameters and work piece/ tool material constant. Experimental results showed that the magnetic field assisted EDM improves the process stability. Moreover, the EDM process with high efficiency and quality of machined parts could fulfill the requirements of modern manufacturing industries.

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 Abrasive Jet Drilling of Glass using Normal-bed and Fluidized-bed AJM Setup

2020 ◽  
Vol 9 (3) ◽  
pp. 1335-1341
Keyword(s):  
Fluidized Bed ◽  
Machining Process ◽  
Work Piece ◽  
Glass Work ◽  
Fluidised Bed ◽  
Abrasive Jet Machining ◽  
Mixing Chamber ◽  
Hard And Brittle Materials ◽  
Sem Micrograph ◽  
The Impact

Abrasive Jet Machining (AJM) is a promising unconventional modern machining process used to machine hard and brittle materials. This paper focuses on machining of borosilicate-glass work piece with various grits of zircon abrasives using normal and fluidised bed mixing chamber based AJM setups.The normal AJM setup is first designed and fabricated to conduct the experiments according to the Box-Behnken design of response surface methodology. Again, some modifications are made in the existing normal mixed chamber to fabricate the fluidized bed mixing chamber based AJM setup and experiments are carried out with the same input parameters on both the AJM setups. The SEM micrograph analysis is performed to study the impact-mechanism and crack-propagation due to AJM.

Design and Fabrication of Abrasive Jet Machine (AJM) & Analyzing its Performance

2019 ◽  
Vol 1 (1) ◽  
pp. 49-55
Author(s):  
Mahesh Reddy Vaddhi ◽  
M. Leela Ramesh ◽  
B Malsoor ◽  
Sai Teja
Keyword(s):  
Material Removal ◽  
High Speed ◽  
Brittle Materials ◽  
Glass Ceramics ◽  
Machining Process ◽  
Work Piece ◽  
Abrasive Particles ◽  
High Speed Stream ◽  
Abrasive Jet Machining ◽  
Gas Medium

Abrasive Jet Machining (AJM) is the process of material removal from a work piece by the application of a high speed stream of abrasive particles carried in a gas medium from a nozzle. The material removal process is mainly by erosion. The AJM can principally be wont to cut shapes in arduous and brittle materials like glass, ceramics etc. In this concept, a model of the Abrasive Jet Machine is proposed to design by taking into consideration of commercially available components. Care will be taken to use less fabricated components rather than directly procuring them, because, the lack of accuracy in fabricated components would lead to a diminished performance of the machine. To analyse its performance, Drilling of glass sheets with different abrasives and different nozzles will be carried out by Abrasive Jet Machining process (AJM) in order to determine its machinability.

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 Methodologies Adopted To Improve the Machinability in Die-Sinking EDM

2019 ◽  
Vol 9 (1S4) ◽  
pp. 645-647
Keyword(s):  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
High Surface ◽  
High Hardness ◽  
Machining Process ◽  
Work Piece ◽  
Machining Processes

Electrical discharge machining (EDM) is one of the oldest nontraditional machining processes, commonly used in automotive, aerospace and ship building industries for machining metals that have high hardness, strength and to make complicated shapes that cannot be produced by traditional machining techniques. The process is based on the thermoelectric energy between the work piece and an electrode. EDM is slow compared to conventional machining, low material removal rate, high surface roughness, high tool wear and formation of recast layer are the main disadvantages of the process. Tool wear rate, material removal rate and surface quality are important performance measures in electric discharge machining process. Numbers of ways are explored by researchers for improving and optimizing the output responses of EDM process. The paper summarizes the research on die-sinking EDM relating to the improvements in the output response.

scholarly journals Machine Ability Characteristics of PWEDM Process

2019 ◽  
Vol 9 (1) ◽  
pp. 3580-3583
Keyword(s):  
Surface Roughness ◽  
Wear Rate ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrical Discharge Machine ◽  
Machining Process ◽  
Work Piece ◽  
Tool Wear Rate

The traditional machining consists of a specific contact between the tool and work piece. As a result of this contact the tool may wear out after a few operations. In addition to that, the MRR (Material Removal Rate), Surface Finish, etc. is also lowered. As a result of these drawbacks, traditional or conventional machining processes cannot be used to machine ceramic based alloys and thus we opt for unconventional machining process. The Electrical Discharge Machine contains of two spaces one is Electrode and other is Work piece. In this concept the among the tool wear rate is moderate and the surface roughness is to be poor. The tool cost is so high. Hence continuously tool modification is not possible. So in the work main objective of the problem is reduced the tool wear rate and increase the MRR. (Material removal rate). So in the case we are consider in the surface roughness. The surface roughness is to be high is the taken in industrial application. So we have focus with surface roughness. These are the considering with in our problems. In our aim is reducing the toll wear and improve the Material Remove rate. In order to addition of graphite in Electrolyte. When added the electrolyte in Graphite the Toll wear rate decrease and increase a material Removal Rate. Finally we have disc the DOE process

scholarly journals Influence of the Anode Material and the Flushing Gas on the Dry Electrical Discharge Machining Process

2013 ◽  
Vol 7 (5) ◽  
pp. 581-592
Author(s):  
Raoul Roth ◽  
◽  
Beck Lukas ◽  
Hartmi Balzer ◽  
Friedrich Kuster ◽  
...  
Keyword(s):  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Work Piece ◽  
Specific Material ◽  
Environmentally Friendly Process ◽  
Dry Electrical Discharge Machining

In the last years dry electrical discharge machining (DEDM) has been proposed as an alternative to the traditional EDM. The main reason for these efforts is the absence of a liquid dielectric which results in a simpler and environmentally friendly process. This paper presents measurements of the material removal rate in function of different tool electrodes, work piece materials and flushing gases put in relation with the breakdown behavior of the process. Evaluation of absolute and current specific material removal rate are presented. The data show a big influence on the material removal rate depending on the combination of work piece material and flushing gas. Two different effects are observed, the first enhancing the removal per spark and the second one reducing the short circuiting occurrence. The share of these two effects on the enhancing of the absolute material removal rate also differs in function of the work piece material. It is suggested that the chemical reaction strongly influences the process in two different ways, on one hand releasing a surplus of energy and on the other hand changing the debris particles’ properties.

scholarly journals Optimization of Process Parameter of Surface Grinding Process of Autenitic Stainless Steel (AISI 304) BY Taguchi Method

2019 ◽  
pp. 72-76
Author(s):  
M. A. Deore ◽  
R. S Shelke
Keyword(s):  
Taguchi Method ◽  
Feed Rate ◽  
Metal Removal ◽  
Removal Rate ◽  
Surface Grinding ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Grinding Process ◽  
Machining Processes

The manufacturing process of surface grinding has been established in the mass production of slim, rotationally symmetrical components. Due to the complex set-up, which results from the large sensitivity of this grinding process to a multiplicity of geometrical, kinematical and dynamical influence parameters, surface grinding is rarely applied within limited-lot production. The substantial characteristics of this grinding process are the simultaneous guidance and machining of the work piece on its periphery. Surface grinding is an essential process for final machining of components requiring smooth surfaces and precise tolerances. As compared with other machining processes, grinding is costly operation that should be utilized under optimal conditions. Although widely used in industry, grinding remains perhaps the least understood of all machining processes. The proposed work takes the following input processes parameters namely Work speed, feed rate and depth of cut. The main objective of this work is to predict the grinding behavior and achieve optimal operating processes parameters. a software package may be utilized which integrates these various models to simulate what happens during surface grinding processes. predictions from this simulation will be further analyzed by calibration with actual data. It involves several variables such as depth of cut, work speed, feed rate, chemical composition of work piece, etc. The main objective in any machining process is to maximize the Metal Removal Rate (MRR) and to minimize the surface roughness (Ra). In order to optimize these values Taguchi method, ANOVA and regression analysis is used.

Sign in / Sign up

Export Citation Format

Share Document