Title: |
Inverse method to determine elastic
constants using a simply supported circular plate and strain-gauge
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Author (s): |
Shoeharsono Tsvkarnoto |
Abstract: |
We proposed an inverse
method, using a simply supported circular plate under lateral
concentrated load, for the simultaneous determination of two elastic
constants E and u from strain data of two-element strain-gage
rectangular rosette. Several series and different position of
strain-gauges provided full field information about strain field of the
plate. An overdeterministic approach using least-square method is
implemented to fit the experimentally determined strain field to the
theoretical solution. Accuracy of the proposed method is verified
experimentally. |
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Title: |
Estimating K, C variable parameters of a
weighing system using RBF neural networks |
Author (s): |
H. B. Bahar and B. Sokouti |
Abstract: |
Neural networks are
often used as a powerful discriminating estimator for tasks in system
identification. This paper describes a neural-network-based method
relies on the Radial Basis Function Network (RBF network), for
estimating the variable damping factor C (n) and spring constant K (n)
of a weighting platform that first learns key properties of the step
response of the weighting platform and then predicts the damping factor
C (n) and spring constant K (n) of other systems with different step
responses before the platform settled to the steady state. In the
simulation and the experimental results, with the related applied
masses, the correlation rates between the actual C(n), K(n) and
estimated C(n) and K(n) are presented that shows the success of this
method. |
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Title: |
Development and application of a machine
vision system for measurement of tool wear |
Author (s): |
A. O. Oni and D. A. Fadare |
Abstract: |
Tool wear monitoring is
of great concern in machining industry, as it affects the surface
qualities, dimensional accuracy and production costs of the machined
components. The orthodox methods of measuring tool wear are time
consuming and limited in accuracy and application. In this study,
machine vision system based on digital image processing was developed
for measurement of tool wear. The basic components of the system are: a
charge coupled device (CCD) camera, PC, Microsoft Windows Video Maker,
frame grabber, Video to USB cable, digital image processing software
(Photoshop and digital image processing toolbox for MATLAB),
multi-directional insert fixture, and light source. Tool wear images
were captured and ten different wear features: length, width, area,
equivalent diameter, centroid, major axis length, minor axis length,
solidity, eccentricity and orientation were extracted from the images.
The pixels dimension of the system was found to be Px = 0.03306 and Py =
0.03333. The accuracy of the system compared to SANDVIK Coromant
hand-held microscopic lens was found to have an absolute error less than
3.13%. The system has been applied in the analysis tool wear of uncoated
cemented carbide inserts used for turning of NST 37.2 steel. A tool wear
index (TWI) was proposed as a potential indicator for tool wear
monitoring. A graphical user interface (GUI) was designed for easy
application of system. |
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Title: |
Modeling and simulation for voltage
sags/swells mitigation using dynamic voltage restorer (DVR) |
Author (s): |
Rosli Omar and Nasrudin Abd Rahim |
Abstract: |
This paper describes
the problem of voltage sags and swells and its severe impact on non
linear loads or sensitive loads. The dynamic voltage restorer (DVR) has
become popular as a cost effective solution for the protection of
sensitive loads from voltage sags and swells. The control for DVR based
on dqo algorithm is discussed. The proposed control scheme is simple to
design. Simulation results using Matlab/Simulink are presented to
illustrate and understand the performances of DVR in load voltage
compensation. |
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Title: |
Vector control of three-phase induction
motor using artificial intelligent technique |
Author (s): |
Arunima Dey, Bhim Singh, Bharti Dwivedi
and Dinesh Chandra |
Abstract: |
The controllability of
torque in an induction motor without any peak overshoot and less ripples
with good transient and steady state responses form the main criteria in
the designing of a controller. Though PI controller is able to achieve
these but with certain drawbacks as the gains can not be increased
beyond certain limit so as to have an improved response. Moreover, it
introduces non linearity into the system making it more complex for
analysis. Also it deteriorates the controller performance. With the
advent of artificial intelligent techniques, these drawbacks can be
mitigated. One such technique is the use of Fuzzy Logic in the design of
controller either independently or in hybrid with PI controller. This
paper proposes a unique set of fuzzy logics for the speed controller
design to be used in vector controlled three phase induction motor. The
results obtained from the model using proposed Fuzzy Logic Controller
and PI Controller are compared. It can be concluded that use of Fuzzy
logic improves and smoothens out the ripples in the motor torque and
stator currents. It also facilitates in limiting the magnitude of the
torque and current values within the specified range in any kind of
disturbance, either provided by the speed removal or by sudden
application and removal of load torque. This has been verified through
the simulation results of the model built completely in a MATLAB/SIMULINK
environment. |
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Title: |
Effect of mix composition on compressive
strength and microstructure of fly ash based geopolymer composites |
Author (s): |
Ravindra N. Thakur and Somnath Ghosh |
Abstract: |
Geopolymer is a class
of aluminosilicate binding materials synthesized by thermal activation
of solid aluminosilicate base materials such as fly ash, metakaolin,
GGBS etc. with an alkali metal hydroxide and silicate solution. These
binders are currently attracting widespread attention due to their
potential utilization as a high performance, environmental friendly and
sustainable alternative to Portland cement. The present paper reports
results of an experimental study on development of compressive strength
and microstructure of geopolymer paste and mortar specimens prepared by
thermal activation of Indian fly ash with sodium hydroxide and sodium
silicate solution. The effect of main synthesis parameters such as
alkali content(Na2O/Al2O3), silica content (SiO2/Al2O3), water to
geopolymer solid ratio and sand to fly ash ratio of geopolymer mixture
and processing parameters such as curing time and curing temperature on
development of compressive strength and microstructure of fly ash based
geopolymer paste and mortar were studied. The compressive strength of
48.20MPa was obtained for geopolymer mixture cured at 850C for 24 hours
with alkali content of 0.62 and silica content of 4.0. The mineralogical
and microstructure studies on hardened geopolymer performed by means
Scanning electron microscope (SEM) and X-ray diffraction (XRD), showed
formation of a new amorphous alumino-silicate phase such as
hydroxysodalite and herschelite influenced development of compressive
strength. The results obtained in the current research will be useful
for developing of mix design guidelines for commercial exploitation of
the new binding material. |
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Title: |
Energy analysis for production of powered
and pelletised organic fertilizer in Nigeria |
Author (s): |
D. A. Fadare, O. A. Bamiro and A. O. Oni |
Abstract: |
Energy study was
conducted in an organic fertilizer plant in Ibadan, Nigeria, to
determine the energy requirement for production of both powdered and
pelletised organic fertilizer. The energy consumption patterns of the
unit operations were evaluated for production of 9,000 kg of the
finished products. The analysis revealed that eight and nine defined
unit operations were required production of powder and pellets,
respectively. The electrical and manual energy required for the
production of powder were 94.45 and 5.55% of the total energy,
respectively, with corresponding 93.9 and 5.07% for the production of
pellets. The respective average energy intensities were estimated to be
0.20 and 0.35 MJ/kg for powder and pellets. The most energy intensive
operation was identified as the pulverizing unit with energy intensity
of 0.09 MJ/kg, accounting for respective proportions of 33.4 and 27.0%
of the total energy for production of powder and pellets. Optimization
of the pulverizing process is suggested to make the system energy
efficient. |
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Title: |
Properties of green concrete containing
quarry rock dust and marble sludge powder as fine aggregate |
Author (s): |
M. Shahul Hameed and A. S. S. Sekar |
Abstract: |
Green concrete capable
for sustainable development is characterized by application of
industrial wastes to reduce consumption of natural resources and energy
and pollution of the environment. Marble sludge powder can be used as
filler and helps to reduce the total voids content in concrete. Natural
sand in many parts of the country is not graded properly and has
excessive silt on other hand quarry rock dust does not contain silt or
organic impurities and can be produced to meet desired gradation and
fineness as per requirement. Consequently, this contributes to improve
the strength of concrete. Through reaction with the concrete admixture,
Marble powder and quarry rock dust improved pozzolanic reaction,
micro-aggregate filling, and concrete durability. This paper presents
the feasibility of the usage of Quarry Rock Dust and Marble sludge
powder as hundred percent substitutes for Natural Sand in concrete. An
attempt has been made to durability studies on Green Concrete compared
with the Natural Sand concrete. It is found that the compressive, split
tensile strength and Durability Studies of concrete made of Quarry Rock
Dust are nearly 14 % more than the conventional concrete. . The
concrete resistance to sulphate attack was enhanced greatly. Application
of Green Concrete is an effective way to reduce environment pollution
and improve durability of concrete under severe conditions. |
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Title: |
Modeling and simulation of engine driven
induction generator using hunting network method |
Author (s): |
K. Ashwini, G. N. Sreenivas and T.
Giribabu |
Abstract: |
This paper presents
hunting network method to analyze the behavior of poly-phase induction
machine under the influence of a periodic pulsating torque. The
differential equation, which describes the dynamic behavior of induction
machine, is nonlinear and until the advent of mechanical differential
analyzer in the early 1940’s, it was not feasible to solve these
equations. Now solution of these equations is common place using either
digital or analog computers. In this paper digital simulation of
induction machine dynamics using MATLAB package is analyzed. The
calculation method is outlined to predict the current, power and torque
pulsation along with power factor and slip. While considering induction
generator driven by a diesel engine, a large error can occur in the
prediction of current, power and torque pulsation if the induction
generator steady state characteristics are used in the analytical
solution. A numerical solution in which the induction generator is
analyzed by using hunting network method. |
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Title: |
Study of the transport properties of
Nanocrystalline soft magnetic alloy (Fe0.9Co0.1)73.5-Cu1-Nb3-Si13.5-B9 |
Author (s): |
Mohammad Julhash Miah |
Abstract: |
Nanocrystalline soft
magnetic materials are interesting from both the fundamental and applied
viewpoints. Because of various superior mechanical, magnetic and
electrical properties, in comparison with those of the crystalline
state, these alloys (metallic glasses) form a class of technologically
important materials. In order to study the effect of Nb on the
magnetotransport properties of the nanocrystalline soft magnetic
material (Fe0.9Co0.1)73.5-Cu1-Nb3-Si13.5-B9, temperature and field
dependent resistivity as well as magnetoresistance have been measured
using conventional four-probe technique. This alloy exhibits metallic
behavior in the high temperature range due to the formation of
microcrystallites around the crystallization temperature Tx since more
and more conduction electrons participating in the conduction mechanism.
The value of magnetoresistance is found to vary (1~15%) at different
temperatures (28°C~ 240°C). The complex permeability of this magnetic
alloy has been measured for both as cast and annealed samples.
Permeability measurement has been taken at low frequency (1 KHz-13 MHz).
The permeability is found to be in the order of 104. The real part of
the complex permeability is found to increase while the imaginary part
is found to decrease with annealing temperatures due to local
segregations. The best response is obtained for the sample annealed at
450°C for 5 minutes only. The overall permeability of the sample has low
value when annealed at 450°C for 1 hour. The frequency range where the
sample can be useful as a soft magnetic material is found out as 10 KHz
to 1MHz. The magnetization of the sample has been measured as a function
of magnetic field at room temperature (28°C) using a vibrating sample
magnetometer (VSM). Saturation magnetization for the sample is observed
to be around 179emu/gm. |
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Title: |
The robust design of linear phase fir
filter using mix-mutation evolutionary programming |
Author (s): |
S. Nagaraja Rao, M. N. Giri Prasad and
Manoj Kumar Singh |
Abstract: |
In the design of
frequency-selective filters, the desired filter characteristics are
specified in the frequency domain in terms of desired magnitude and
phase response of the filter. In this paper we present a design approach
by determining the closely approximated coefficients using powerful
Evolutionary Programming to find the solution for the optimization
problem in selecting the coefficients. In this paper the design of
Causal FIR filter with desired frequency response and phase response is
presented. In practice, FIR filters are employed in filtering problems
where there is a requirement for linear phase characteristics within the
passband of the filter. The Evolutionary Programming is the best search
procedure and most powerful than Linear Programming in providing the
optimal solution that is desired to minimize the ripple content in both
passband and stopband. We presented here how the values of δ1 and δ2 are
minimized with best optimized approach using Evolutionary Computation.
The optimized filter bank structure is implemented in our research work
for effective compression of images. |
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