60 research outputs found
Optimization of Machining Parameters in EDM Process Using Cast and Sintered Copper Electrodes
AbstractIn this research work two different materials have been used as work pieces. These EN8 and D3 steel materials have been machined in an Electrical discharge machine which has wide application in Industry fields. The important process parameters that have been selected are peak current, pulse on time, die electric pressure and tool diameter. The outputs responses are material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR). The Cast Copper and Sintered Powder Metallurgy Copper (P/M Copper) have been considered as tool electrodes to machine the fore said work pieces. Response surface methodology(RSM) has been used to analyze the parameters and analysis of variance (ANOVA) has been applied to identify the significant process parameters. The influences of interaction of parameters have also been studied. Scanned electron microscope(SEM) images have been taken after machining on the work pieces for both electrodes to study the structure property correlation. The input parameters were optimized in order to obtain maximum MRR, minimum TWR and minimum SR
Nonlocal symmetries of Riccati and Abel chains and their similarity reductions
We study nonlocal symmetries and their similarity reductions of Riccati and
Abel chains. Our results show that all the equations in Riccati chain share the
same form of nonlocal symmetry. The similarity reduced order ordinary
differential equation (ODE), , in this chain yields
order ODE in the same chain. All the equations in the Abel chain also share the
same form of nonlocal symmetry (which is different from the one that exist in
Riccati chain) but the similarity reduced order ODE, , in
the Abel chain always ends at the order ODE in the Riccati chain.
We describe the method of finding general solution of all the equations that
appear in these chains from the nonlocal symmetry.Comment: Accepted for publication in J. Math. Phy
A unification in the theory of linearization of second order nonlinear ordinary differential equations
In this letter, we introduce a new generalized linearizing transformation
(GLT) for second order nonlinear ordinary differential equations (SNODEs). The
well known invertible point (IPT) and non-point transformations (NPT) can be
derived as sub-cases of the GLT. A wider class of nonlinear ODEs that cannot be
linearized through NPT and IPT can be linearized by this GLT. We also
illustrate how to construct GLTs and to identify the form of the linearizable
equations and propose a procedure to derive the general solution from this GLT
for the SNODEs. We demonstrate the theory with two examples which are of
contemporary interest.Comment: 8 page
<span style="font-size:11.0pt;font-family: "Times New Roman","serif";mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Mangal;mso-ansi-language:EN-GB;mso-fareast-language:EN-US;mso-bidi-language: HI" lang="EN-GB">Synthesis and Characterisation of Al 7075 reinforced with SiC and B<sub>4</sub>C nano particles fabricated by ultrasonic cavitation method</span>
281-285<span style="font-size:11.0pt;font-family:
" times="" new="" roman","serif";mso-fareast-font-family:"times="" roman";mso-bidi-font-family:="" mangal;mso-ansi-language:en-gb;mso-fareast-language:en-us;mso-bidi-language:="" hi"="" lang="EN-GB">The application of ultrasonic effects to disperse nano sized particles in
molten metal has been studied. Based on this technique, nano-sized SiC and B4C
particles reinforced with AL7075 aluminium nanocomposites were fabricated. XRD
analysis reveals that uniform structure of nano composites was formed in the Al
alloy. The microstructure of the nanocomposites was investigated by high
resolution scanning electron microscope (SEM). Experimental results show a
nearly uniform distribution and good dispersion of the SiC and B4C
nanoparticles within the aluminium metal matrix, although some small clusters
were found in the matrix. The mechanical properties like tensile strength and
micro hardness of nanocomposites have been improved significantly compared to
that of pure alloy. The interaction between SiC and
B4C nanoparticles with aluminium matrix was investigated.</span
Constitutive equation and microstructure evaluation of an extruded aluminum alloy
The flow-stress behavior of an extruded aluminum alloy has been studied by conducting a set of warm and hot compression tests. The compression tests were carried out in the temperature range of 373 K–773 K and strain rates of 0.001, 0.01 and 0.1 s−1, up to a strain of 0.5. Based on the results obtained from these tests, a mathematical model was obtained to predict flow stress for a given strain. The effect of temperature and strain rate on deformation behavior was ascertained by determining the Zener–Hollomon parameter. The influence of strain has been incorporated by employing an Arrhenius-type constitutive equation, considering the related material constants as functions of strain. The comparison of results indicated good agreement between the predicted and measured flow-stress values in the relevant temperature range. The correlation coefficient and average absolute relative error of the model were found to be 0.9965 and 4.26% respectively confirming good accuracy
Mathematical modeling of process parameters on hard turning ofAISI 316 SS by WC insert
592-596This paper presents a newly developed mathematical modeling for process parameters on hard turning of AISI 316stainless steel by tungsten carbide inserts (WC). Regression analysis and ANOVA theory was used to predict surface roughness(Ra) and tool wear (VB). WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of processparameters [cutting speed (Vs), feed rate (fs) and depth of cut (ap)]. Adequacies of developed model were verified by calculationof correlation coefficient (r). These models can be effectively used to predict Ra of work piece and VB of WC insert
Statistical optimization of EDM parameters on machining of aluminium Hybrid Metal Matrix composite by applying Taguchi based Grey analysis
358-365Hybrid metal matrix composite is a recent kind of
material which are not only focused on the improvement of mechanical
properties, but also on machinability for difficult-to-machine shapes using
EDM. Experiments were conducted by choosing the typical process parameters such
as pulse current, gap voltage, pulse on time and pulse off time. The Taguchi
based grey relational analysis was adopted to obtain grey relational grade for
EDM process with multiple characteristics namely material removal rate (MRR),
electrode wear ratio (EWR) and surface roughness (SR). The significance of
process parameters was obtained by analysis of variance based on grey
relational grade, which showed pulse current and pulse on time to be the most
significant parameters
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