On the Optimisation Into Wire Electro-Discharge Machining of Al/Al2O3P Composites

2007 ◽  
Author(s):  
N. G. Patil ◽  
P. K. Brahmankar ◽  
L. G. Navale
Keyword(s):  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Cutting Speed ◽  
Kerf Width ◽  
Feed Speed ◽  
Machining Parameters ◽  
Matrix Composites ◽  
Electro Discharge Machining ◽  
Pulse On Time ◽  
Machining Parameter

Non-traditional process like wire electro-discharge machining (WEDM) is found to show a promise for machining metal matrix composites (MMCs). However, the machining information for the difficult-to-machine particle-reinforced material is inadequate. This paper is focused on experimental investigation to examine the effect of electrical as well as nonelectrical machining parameters on performance in wire electro-discharge machining of metal matrix composites (Al/Al2O3p). Taguchi orthogonal array was used to study the effect of combination of reinforcement, current, pulse on-time, off-time, servo reference voltage, maximum feed speed, wire speed, flushing pressure and wire tension on kerf width and cutting speed. Reinforcement percentage, current, on-time was found to have significant effect on cutting rate and kerf width. The optimum machining parameter combinations were obtained for cutting speed and kerf width separately.

Some Investigations Into Multi-Objective Optimization of Wire Electro-Discharge Machining of Al/SiCp Composites

2007 ◽  
Author(s):  
N. G. Patil ◽  
P. K. Brahmankar ◽  
L. G. Navale
Keyword(s):  
Metal Matrix Composites ◽  
Grey Relational Analysis ◽  
Metal Matrix ◽  
Cutting Speed ◽  
Kerf Width ◽  
Matrix Composites ◽  
Multi Objective Optimization ◽  
Relational Analysis ◽  
Electro Discharge Machining ◽  
Grey Relational

Non-traditional process like wire electro-discharge machining (WEDM) is found to show a promise for machining metal matrix composites (MMCs). However, the machining information for the difficult-to-machine particle-reinforced material is inadequate. This paper is focused on experimental investigation to examine the effect of electrical as well as non-electrical machining parameters on performance in wire electro-discharge machining of metal matrix composites (Al/SiCp). Taguchi orthogonal arrays were employed to study the effects of combinations of voltage, current, pulse on-time, off-time, and wire speed and wire tension on kerf width and cutting speed. Voltage, current, and on-time were found to have significant effect on cutting speed and kerf width. The optimum machining parameter combinations were obtained for cutting speed and kerf width separately. Further, multi-objective optimization was done using Taguchi-Grey relational analysis. The process has been improved with the aid of Grey relational analysis and Taguchi orthogonal array. The results have been verified with confirmation experiments.

Experimental Study and Optimization of Wire-Electrical Discharge Machined WC-15%Co Metal Matrix Composites

2014 ◽  
Vol 984-985 ◽  
pp. 227-232
Author(s):  
Veluswamy Muthuraman ◽  
Raju Ramakrishnan ◽  
Ponnusamy Sengottuvel ◽  
C. Karthikeyan
Keyword(s):  
Tungsten Carbide ◽  
Metal Matrix Composites ◽  
Analysis Of Variance ◽  
Metal Matrix ◽  
Electrical Discharge ◽  
Machining Process ◽  
Cobalt Metal ◽  
Matrix Composites ◽  
Electro Discharge Machining ◽  
Pulse On Time

Wire Electrical discharge Machining plays an important role in the field of hard, difficult to machine materials like metal matrix composites. Machining process must keep pace with material development. For electrically conductive materials wire electro discharge machining is a viable option due to high accuracy, precision, and ability to achieve complex, intricate shaped profiles on even thin works. Due to thermo-electric nature it is a stochastic process in nature. To simplify the difficulty in determining parameters for the improvement of cutting performance and optimization, analysis of variance and regression analysis were made use of. Tungsten carbide cobalt metal matrix composites finds increasing applications in conventional application like tools and dies as well as in developing fields like bio-medical instruments and aero-space industries. In this present work, the problem of parameter selection, optimization for wire electro discharge machining on tungsten carbide-15% cobalt metal matrix composites, a less worked composition has been undertaken. Sodick AQ-427L wire-edm machine was used with a 0.25 diameter zinc coated brass wire electrode, to cut the material. Each experiment done under different cutting conditions of inputs like pulse on time, pulse off time, wire speed and peak current and repeated for three observations and the average was selected. Optimum machining parameter combination for material removal rate was obtained by using the desirability response optimizer function. Analysis of variance, Confirmation experiment was carried and good improvements were obtained.

Effect of SiCp Reinforcement on Machinability of A356 Alloy Metal Matrix Composites

2016 ◽  
Vol 852 ◽  
pp. 142-148
Author(s):  
K. Jayakumar
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composites ◽  
Metal Matrix ◽  
End Milling ◽  
Cutting Speed ◽  
A356 Alloy ◽  
Experimental Result ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Matrix Composites

Machining of Aluminum Metal Matrix Composites (AMMCs) is a challenge for manufacturing industries due to their heterogeneous constituents which vary from soft matrix to hard reinforcements and their interfaces. To overcome the difficulties in machining of MMCs, researchers are continuously working to find the optimum process or machining parameters. In this work, End milling studies were carried out in A356 alloy powder-SiC particles (1 μm) in 0, 5, 10, 15 volume % reinforced AMMCs synthesised by vacuum hot pressing (VHP) route.The influence of machining parameters such as cutting speed, feed and depth of cut on the prepared composites in terms of surface roughness (Ra) and material removal rate (MRR) are measured from experimental study. Experiments were conducted as per Taguchi L16 orthogonal array with 4 factors and 4 levels.From the experimental result, it was identified that surface roughness varied from 0.214 μm to 4.115 μm and MRR varied from minimum of 1.11 cm3/min to maximum of 9.65 cm3/min. It is also observed that, MRR increased with increase in machining parameters and reinforcement quantity. Similarly, surface roughness decreased for increase of cutting speed, SiC particle (SiCp) reinforcement and increased for increase in feed and depth of cut. The optimum condition were observed in higher speed, lower feed and higher depth of cut on MMC with higher SiC content (15%) for getting higher machinability.

Studies on Mechanical and Machinability Properties of B4Cp Reinforced 6061Aluminum MMC Produced via Melt Stirring

2014 ◽  
Vol 592-594 ◽  
pp. 744-748 ◽  
Author(s):  
Vijaykumar Hiremath ◽  
S.T. Dundur ◽  
Raj L. Bharath ◽  
G.L. Rajesh ◽  
V. Auradi
Keyword(s):  
Boron Carbide ◽  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Matrix Composites ◽  
Mechanical And Physical Properties ◽  
Aluminum Metal Matrix Composites ◽  
Poly Crystalline Diamond

Aluminum boron carbide metal matrix composites (Al-MMC) have got wide applications in aeronautical and automobile industries due to their excellent mechanical and physical properties. Due to the presence of harder reinforcement particles, machining of these composites is a difficult task. The results of experimental investigation on mechanical and machinability properties of Boron carbide particle (B4Cp) reinforced aluminum metal matrix composites are presented in this paper.The influence of reinforced ratio of 7 wt% of B4Cpon mechanical properties was examined. It was observed that addition of B4Cpreinforcement resulted in improvement in hardness and tensile strengths to the extent of 71% and 38.4% respectively. Fabricated samples were turned on medium duty lathe of 3 kW spidle power with Poly crystalline diamond tool (PCD) of 10 μm particle size at various cutting conditions. The effect of machining parameters, e.g. cutting speed, feed rate and depth of cut on cutting forces and formation of BUE was studied.

Optimization of machining parameters using WASPAS and MOORA

2019 ◽  
Vol 17 (2) ◽  
pp. 237-246 ◽  
Author(s):  
Venkateshwar Reddy Pathapalli ◽  
Veerabhadra Reddy Basam ◽  
Suresh Kumar Gudimetta ◽  
Madhava Reddy Koppula
Keyword(s):  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Metal Cutting ◽  
Optimal Parameter ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Matrix Composites ◽  
Content Type ◽  
Composite Samples

Purpose Nowadays, the applications of metal matrix composites are tremendously increasing in engineering fields. Consequently, the demand for precise machining of composites has also grown enormously. The purpose of this paper is to reduce production cost and simultaneously improve desired product quality through optimal parameter setting using WASPAS and MOORA. Design/methodology/approach Metal matrix composites were fabricated using stir casting process, with aluminum 6063 as matrix and titanium carbide as reinforcement. Fabricated composite samples were machined on medium duty lathe using cemented carbide tool. All the experiments were carried out based on Box–Behnken design. Comparison of multi objective optimization based on ratio analysis and weighted aggregated sum product assessment in optimizing four parameters, namely, “cutting speed,” “feed rate,” “depth of cut” and “reinforcement weight percent of composite samples”; evaluating their influence on material removal rate, cutting force and surface roughness were carried out. Findings The output achieved by both MOORA and WASPAS are in similar MCDM) techniques in the selection of machining parameters. Practical implications The results obtained in the present paper will be helpful for decision makers in manufacturing industries, who work in metal cutting area, to select the suitable levels for the parameters by implementing the MCDM techniques. Originality/value The novelty of this paper is making an attempt to select better MCDM technique based on the comparison of results obtained for the individual technique.

Optimization of Machining Hybrid Metal Matrix Composites Using Desirability Analysis

2014 ◽  
Vol 875-877 ◽  
pp. 1412-1420 ◽  
Author(s):  
R.R. Jai Preetham ◽  
Joel Morris ◽  
Kaushik Rajasekaran
Keyword(s):  
Tool Wear ◽  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Function Analysis ◽  
Desirability Function ◽  
Cutting Speed ◽  
Machining Parameters ◽  
Matrix Composites ◽  
Hybrid Metal Matrix Composites ◽  
Desirability Function Analysis

This paper presents the detailed discussions on fabrication of Aluminium - silicon carbide (10% by weight of particles) and boron carbide (5% by weight of particles) Hybrid Metal Matrix Composites (Al/SiC/B4C MMC) using stir casting method. SiC and a B4C particle range from 30μm to 50 μm. The cylindrical rods of diameter 60 mm and length 250 mm are fabricated and subsequently machined using medium duty lathe of 2 kW spindle power to study the machinability issues of Hybrid MMC using Poly Crystalline Diamond (PCD) insert of 1600 grade. The optimum machining parameters have been identified by a composite desirability value obtained from desirability function analysis as the performance index, and significant contribution of parameters can then be determined by analysis of variance. Confirmation test is also conducted to validate the test result. Experimental results have shown that machining performance can be improved effectively through this approach. Results show at higher cutting speeds, good surface finish is obtained with faster tool wear. It is concluded that, tool wear and cutting force are directly proportional to the cutting speed, where as surface roughness is inversely proportional to the cutting speed. Percentage of error obtained between experimental value and predicted value is within the limit.

Comparison of machining characteristics of metal matrix composites using CO2 laser curve cutting process

2017 ◽  
Vol 232 (3) ◽  
pp. 349-368 ◽  
Author(s):  
Vikas Sharma ◽  
Vinod Kumar
Keyword(s):  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Morphological Changes ◽  
Cutting Speed ◽  
Matrix Composites ◽  
Composites Materials ◽  
Input Variables ◽  
Output Characteristics ◽  
Metal Matrix Composite Material ◽  
Machining Characteristics

In the present work, the effects of input variables of laser beam machining on the machining characteristics of the metal matrix composites reinforced with SiC, Al2O3, and ZrO2 particles were investigated. The comparison of the machining characteristics has been done to analyze the behavior of various reinforced particles with the variation of laser machining variables. Various output characteristics such as dross height, kerf deviation, and striations angle have been investigated and compared with each metal matrix composite material. Parameters such as cutting speed, reinforced particles, and cut profile were found to be the most significant factors influencing the various output characteristics. The morphological changes in the structure have been examined using scanning electron microscopy and X-ray diffraction technique for the agglomeration of the reinforced particles. The crack and recast layer formation has been examined in the specimens of higher quantity of the reinforced particles. It was analyzed that the metal matrix composites material reinforced with SiC particles has shown different behaviors as compared to other metal matrix composites materials.

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