scholarly journals Determining Optimum Electro Discharge Machining Parameters for Drilling of a Small Hole by Utilizing Taguchi Method

2014 ◽  
Vol 564 ◽  
pp. 481-487 ◽  
Author(s):  
M.K.A.M. Ariffin ◽  
Hazami B. Che Hussain ◽  
Saiful Bahri Mohamed ◽  
S. Sulaiman
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
High Speed ◽  
Removal Rate ◽  
Copper Electrode ◽  
Small Hole ◽  
Work Piece ◽  
Drilling Process ◽  
Machining Parameters ◽  
Electro Discharge Machining

Electro discharge machining (EDM) is a process that uses an electric sparks to generate the high temperature and melt the workpiece. One of the EDM process is drilling. In EDM drilling, an electro thermal mechanism is introduced between the electrode and work piece to create the hole. The hole size is dependent on the diameters of electrode used during the drilling process. The present study performs Taguchi method to investigate the optimal process parameters for high-speed EDM super drill machine that is used to make a small hole. The workpiece used is made from titanium alloy (Ti-6: ASTM B348 Grade 5) and the copper electrode is 2.0 mm in diameter. In this experiment, the process parameters that were selected to be optimised are: current pulse off, maximum current and standard voltage levels. An orthogonal array L9 were employed to analyze the hole enlargement and material removal rate (MRR) depending on 2.0 mm diameter hole penetration. The optimum EDM parameters for hole making process was established and verified with the acquired results.

Optimization of Electro Discharge Machining Parameters for Drilling Titanium in Small Holes Using Taguchi Method

2014 ◽  
Vol 903 ◽  
pp. 129-134 ◽  
Author(s):  
Hazami Che Hussain ◽  
Ahmad Razlan Yusoff
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
High Speed ◽  
Removal Rate ◽  
Copper Electrode ◽  
Work Piece ◽  
Drilling Process ◽  
Machining Parameters ◽  
Copper Electrodes ◽  
Electro Discharge Machining

Electro discharge machining (EDM) is a process that use an electric sparks to generate the high temperature and melts the work piece. One of the processes using this method is drilling process. By using this concept, an electro thermal mechanism between electrode and work piece can creates the hole enlargement and the size of the hole its depend on the diameters of electrode are used. The present study performs Taguchi method to investigate the optimal process parameters for high speed super drill machine that was used to make a small hole from titanium alloy (Ti-6: ASTM B348 Grade 5) by using 2.0 mm diameter of copper electrodes. In this experiment, the process parameters namely, current pulse off; maximum current and standard voltage level were selected to optimize. An orthogonal array L9 was employed to analyze the material removal rate (MRR) of the copper electrode of diameter 2.0 mm penetration. The optimum EDM hole process can be established through this method and the major parameters that effect the MRR can be also detected and verified the effectiveness through experimental results.

scholarly journals Developmental and Experimental Study of Rotary Ultrasonic drilling process

2021 ◽  
Vol 9 (8) ◽  
pp. 2475-2478
Author(s):  
Arpit Srivastava
Keyword(s):  
Taguchi Method ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Drilling Process ◽  
Machining Parameters ◽  
Ultrasonic Drilling ◽  
Machining Parameter ◽  
Rotary Ultrasonic Drilling ◽  
Selection Of

Abstract: The proper selection of machining conditions and machining parameter is an important aspect, before going to machine a brittle material by rotary ultrasonic drilling process Because these conditions will determine such important characteristics as; Material removal rate (MRR) and Surface roughness (SR). The purpose of this work is to determine the optimal values of machining parameters of rotary ultrasonic drilling process. The work has been based on the effect of three design factors: Tool feed rate, vibration frequency and grain size of abrasive particle on such characteristic like material removal rate (MRR). This work has been done by means of the technique of design of experiment (DOE), which provides us to perform the above-mentioned analysis with small number of experiments. In this work, a L9 orthogonal array is used to design the experiment. The adequate selection of machining parameters is very important in manufacturing system, because these parameters determine the surface quality and dimensional accuracy of the manufactured part. The optimal setting of the parameters are determined through experiments planned, conducted and analyzed using the Taguchi method. Keywords: RUSM, Material removal rate, Drilling, Taguchi method

Optimization of Machining Parameters Using EDM in Gas Media Based on Taguchi Method

2012 ◽  
Vol 459 ◽  
pp. 170-175 ◽  
Author(s):  
Der An Wang ◽  
Yan Cherng Lin ◽  
Han Ming Chow ◽  
Shih Feng Fan ◽  
A Cheng Wang
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Main Process ◽  
Machining Parameters ◽  
Machining Performance ◽  
Pressure Peak ◽  
Machining Parameter ◽  
Machining Characteristics

The aim of this study is to investigate the machining characteristics of gas media used in electrical discharge machining (EDM). The process parameters were designed based on Taguchi method to manage the experimental work. The main process parameters such as machining polarity, gas pressure, peak current, pulse duration, type of gas media, and servo reference voltage were adopted to explore their effects on machining performance in terms of material removal rate (MRR) and surface roughness (SR) for SKD 61 tool steel. The experimental observed values were transferred to signal-to-noise (S/N) ratios, and then the significant machining parameters affecting obviously the machining performance were determined by analysis of variance (ANOVA). The optimal combination level of machining parameter for each machining characteristic was obtained by the S/N ratio analysis according to Taguchi methodology.

Optimization of Process Parameters in Micro Electro- Discharge Drilling [micro EDM-Drilling]: A Taguchi Approach

2012 ◽  
Vol 622-623 ◽  
pp. 30-34 ◽  
Author(s):  
C.K. Nirala ◽  
B. Reddy ◽  
P. Saha
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Signal To Noise Ratio ◽  
Parameter Analysis ◽  
Tool Electrode ◽  
Drilling Process ◽  
Machining Parameters ◽  
Micro Edm ◽  
Tungsten Carbide Tool ◽  
Edm Drilling

This paper applies Taguchi methodology to optimize the machining parameters in micro EDM-drilling of copper using a tungsten carbide tool electrode. The experimental design has been applied to find out the optimal combination of process parameters corresponding to maximum material removal rate, minimum over-cut, minimum tool wear ratio and minimum error-in-depth of drilled hole. Orthogonal array and signal-to-noise ratio is employed to optimize the process parameter. Analysis of variance (ANOVA) is performed to determine the influence of parameters such as, gap voltage, capacitance, feed rate and spindle rotationof micro EDM-drilling process on the performance measures. From the analysis, it is concluded that gap-voltage and capacitance arethe most significant parameters whereas spindle speed is the least among all.

The Effect of EDM Die-Sinking Parameters on Material Characteristic for Aluminium Composite Using Tungsten Copper Electrode

2013 ◽  
Vol 465-466 ◽  
pp. 1214-1218 ◽  
Author(s):  
Mohd Amran Ali ◽  
Laily Suraya ◽  
Halida Ilyani Kamarudin Nor ◽  
Nur Izan Syahriah Hussein ◽  
Mohd Razali Muhamad ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Copper Electrode ◽  
Electrode Wear ◽  
Machining Parameters ◽  
New Material ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

The machining ability of electrical discharge machining (EDM) die-sinking on aluminium LM6 (Al-Sil2) as a new material is investigated.The objective of this paper is to determine the relationship between the machining parameters which are pulse-on time, pulse-off time and peak current on the material characteristics such as material removal rate (MRR), electrode wear rate (EWR) and surface roughness (Ra). Tungsten copper tool of diameter 10mm was chosen as an electrode. Design of experiment using Taguchi method was used to develop experimental matrix and optimize the MRR, EWR and Ra. The analysis was done using the Minitab software. It is found that the current and pulse on time are significantly affected the MRR, EWR and Ra while pulse off time and voltage are less significant factor that affected the responses. From the Taguchi method, the best setting of optimum value was obtained. Thus, it shows that Taguchi method is the best quality tools that can be applied for production.

scholarly journals Investigation and optimization of the electro-discharge machining parameters of 2024 aluminum alloy and Al/7.5% Al2O3 particulate-reinforced metal matrix composite

2018 ◽  
Vol 25 (1) ◽  
pp. 159-172 ◽  
Author(s):  
Saeed Daneshmand ◽  
Behnam Masoudi
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Parameters ◽  
Tool Wear Rate ◽  
Electro Discharge Machining ◽  
Pulse Off Time ◽  
Off Time

AbstractBeing newly advanced materials, metal matrix composites enjoy the properties of high service temperature, light weight, high specific strength, good wear resistance, high stiffness, and a low thermal expansion coefficient. However, machining these materials by conventional methods is difficult. A key machining process for difficult-to-machine materials like composites is electro-discharge machining, which is widely used in non-conventional material removal processes. The current work aims to identify different parameters, such as voltage, current, pulse on-time, and pulse off-time, which influence the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). By applying regression equations, a mathematical model is adopted to estimate MRR, TWR, and SR. The optimum machining parameters are investigated using the Taguchi method with L9 orthogonal array. The optimum values are also analyzed by multi-objective Taguchi method with calculation of total normalized quality loss (TNQL) and multi-signal to noise ratio (MSNR) included. Analysis of the Taguchi method introduced voltage and pulse off-time as the two main significant factors that influence the value of the material removal rate. The discharge current and pulse off-time also have a statistically significant impact on both tool wear rate and surface roughness.

scholarly journals Optimisation of AWJM Process Parameters for Machining Granite using PCA Methodology

2019 ◽  
Vol 9 (2S2) ◽  
pp. 530-534
Keyword(s):  
Principal Component Analysis ◽  
Process Parameters ◽  
Removal Rate ◽  
Principal Component ◽  
Component Analysis ◽  
Standoff Distance ◽  
Work Piece ◽  
Machining Parameters ◽  
Cut Quality ◽  
The Impact

In Abrasive water jet machining, abrasive particles along with high pressure water are used to intrude on the work materials ranges from soft to hard materials using high velocity jet. The process parameters considered in this research for machining the granite are pressure, standoff-distance and cut quality. Experimental investigation had been carried out, in order to identify the impact of varying the input machining parameters on the results like kerf angle, material removal rate and roughness of the machined surface. In this study, Taguchi’s Multi response technique namely principal component analysis had been used to optimize the input parameters of the abrasive jet machine to obtain the desired outcome on granite work piece and also to foresee the best optimal input machining values of abrasive jet machining such as pressure, standoff-distance and cut quality. For each sequence of Taguchi L9 orthogonal array, sufficient number of experimentations had been carried out. Then with the help of principal component analysis, optimal process parameters that influence the granite machining characteristics have identified and to validate the experimentation, confirmation tests also been carried out with required combinations of array.

Effect of Machining Parameters and Wear Mechanism in Milling Mold Steel AISI-P20 and AISI-1050

2014 ◽  
Vol 590 ◽  
pp. 294-298
Author(s):  
Pichai Janmanee ◽  
Somchai Wonthaisong ◽  
Dollathum Araganont
Keyword(s):  
Wear Mechanism ◽  
Feed Rate ◽  
High Speed ◽  
Removal Rate ◽  
Milling Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Aisi P20 ◽  
Steel Aisi ◽  
Quality Surface

In this study, effect of machining parameters and wear mechanism in milling process of mold steel AISI-P20 and AISI-1050, using 10 mm twin flute type end mill diameter. The experimental results found that characteristics of milling surfaces and wear of the mill end were directly influenced by changes of parameters for all test conditions. As a result, the quality of milling surfaces also changed. However, mould steels which had the good quality surface is AISI-1050, with roughnesses of 2.120 μm. Quality milling surfaces were milled by using the most suitable parameter feed rate of 45 mm/min, a spindle speed of 637 rpm and a cut depth level of 3 mm, for both grades. Moreover, material removal rate and duration of the milling process, the milling end mills affect wear of the edge in every bite when the feed rate is low, high speed and level depth of cut at least. It was found that limited wear less will affect the surface roughness (Ra) represents the good quality surface.

scholarly journals Study of wire-electrical discharge machining parameters of titanium alloy by using taguchi method

2018 ◽  
Vol 7 (2.8) ◽  
pp. 10
Author(s):  
A VS Ram Prasad ◽  
Koona Ramji ◽  
B Raghu Kumar
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Process Parameters ◽  
Optimization Technique ◽  
Machining Process ◽  
Machining Parameters ◽  
Wire Edm ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Edm Process

Machining of Titanium alloys is difficult due to their chemical and physical properties namely excellent strength, chemical reactivity and low thermal conductivity. Traditional machining of such materials leads to formation of continuous chips and tool bits are subjected to chatter which leads to formation of poor surface on machined surface. In this study, Wire-EDM one of the most popular unconventional machining process which was used to machine such difficult-to-cut materials. Effect of Wire-EDM process parameters namely peak current, pulse-on- time, pulse-off-time, servo voltage on MRRand SR was investigated by Taguchi method. 0.25 mm brass wire was used in this process as electrode material. A surface roughness tester (Surftest 301) was used to measure surface roughness value of the machined work surface. A multi-response optimization technique was then utilized to optimize Wire-EDM process parameters for achieving maximum MRR and minimum SR simultaneously.

scholarly journals Multi response Particle Swarm Optimization of Wire Electro Discharge Machining parameters of Nitinol alloys

2020 ◽  
Author(s):  
Mohammed Yunus ◽  
Mohammad S. Alsoufi
Keyword(s):  
Particle Swarm Optimization ◽  
Metal Removal ◽  
Removal Rate ◽  
Particle Swarm ◽  
Optimization Method ◽  
Machining Parameters ◽  
Swarm Optimization ◽  
Electro Discharge Machining ◽  
Process Factors ◽  
Wedm Process

Abstract The conventional process of Machining of Nitinol alloy leads to extensive wear on the tool and deprived surface quality. Wire electro discharge machining (WEDM) is widely accepted for machining this alloy involving various input factors, namely, P, (pulse-on-duration), Q, (pulse-off-duration), C, (maximum-current), and V, (voltage). The factor’s effect on MRR (metal removal rate) and SR (surface roughness) responses and multi-response optimization of the WEDM process by employing PSO (particle swarm optimization) method are studied. The relationship model between factors and response characteristics were generated by ANOVA and optimized by response surface methodology has shown more significant factors (A and C). Though the effect of WEDM process factors on SR and MRR are contradictory when studied individually. MRPSO method was employed to get the best optimum condition for minimizing SR and maximizing MRR. MRPSO results improved the responses for vast combination of optimal setting of factors to meet the product requirements.

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