Experimental and Numerical Investigation of Advanced Materials and Structures

269 Pages·2013·10.735 MB·English

by  Zora Jančíková, Pavel Koštial, Dana Bakošová (auth.), Andreas Öchsner, Holm Altenbach (eds.)

Advanced Structured Materials
Andreas Öchsner
Holm Altenbach Editors
Experimental
and Numerical
Investigation of
Advanced Materials
and Structures
Advanced Structured Materials
Volume 41
Series Editors
Andreas Öchsner
Lucas F. M. da Silva
Holm Altenbach
For furthervolumes:
http://www.springer.com/series/8611
Andreas Öchsner Holm Altenbach
•
Editors
Experimental and Numerical
Investigation of Advanced
Materials and Structures
123
Editors
Andreas Öchsner HolmAltenbach
Faculty ofBiosciences andMedical Lehrstuhl fürTechnische Mechanik
Engineering (FBME) Institutfür Mechanik,Fakultätfür
UniversityofTechnologyMalaysia-UTM Maschinenbau
Skudai,Johor Bahru Otto-von-Guericke-Universität Magdeburg
Malaysia Magdeburg
Germany
and
Faculty ofEngineering andBuilt
Environment
The Universityof Newcastle
Australia
ISSN 1869-8433 ISSN 1869-8441 (electronic)
ISBN 978-3-319-00505-8 ISBN 978-3-319-00506-5 (eBook)
DOI 10.1007/978-3-319-00506-5
SpringerChamHeidelbergNewYorkDordrechtLondon
LibraryofCongressControlNumber:2013945162
(cid:2)SpringerInternationalPublishingSwitzerland2013
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Preface
Experimentalandnumericalinvestigationofmaterialsandstructuresisnowadays
an important discipline which enables a better and more reliable application of
engineering components. Furthermore, limits of materials and structure can be
accurately determined which may influence the design process and result, for
example, in much lighter structures than a few decades ago. A lot of these
advancements are connected with the increased computer power (hardware) and
the development of well-engineered computer software. This directly influences
thecapabilitytobringnoveladvancedmaterialsandstructurestoapplication.Only
iftheperformanceofnewmaterialsandstructurescanbesufficientlypredictedand
guaranteed, they will find their way in industrial applications.
The6thInternationalConferenceonAdvancedComputationalEngineeringand
Experimenting, ACE-X 2012, was held in Istanbul, Turkey, from 1–4 July, 2012
with a strong focus on computational-based and supported engineering. This
conferenceservedasanexcellentplatformfortheengineeringcommunitytomeet
witheach otherandtoexchange thelatest ideas. Thisvolume contains19revised
and extended research articles written by experienced researchers participating in
theconference.Thebookwillofferthestate-of-the-artoftremendousadvancesin
mechanical, materials, and civil engineering, ranging from composite materials,
application of nanostructures up to automotive industry and examples taken from
oilindustry.Well-knownexpertspresenttheirresearchondamageandfractureof
materialandstructures,materialsmodelingandevaluationuptoimageprocessing,
and visualization for advanced analyses and evaluation.
The organizers and editors wish to thank all the authors for their participation
andcooperationwhichmadethisvolumepossible.Finally,wewouldliketothank
the team of Springer-Verlag, especially Dr. Christoph Baumann, for the excellent
cooperation during the preparation of this volume.
April 2013 Andreas Öchsner
Holm Altenbach
v
Contents
Neural Model for Prediction of Tires Eigenfrequencies. . . . . . . . . . . . 1
Zora Jancˇíková, Pavel Koštial, Dana Bakošová, David Seidl,
Jirˇi David, Jan Valícˇek and Marta Harnicˇárová
Effect of Steady Ampoule Rotation on Radial Dopant Segregation
in Vertical Bridgman Growth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Nouri Sabrina, Benzeghiba Mohamed and Ghezal Abdrrahmane
Discontinuity Detection in the Vibration Signal
of Turning Machines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
Joško Šoda, Slobodan Marko Beroš, Ivica Kuzmanic´ and Igor Vujovic´
Visualization of Global Illumination Variations
in Motion Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Igor Vujovic´, Ivica Kuzmanic´, Joško Šoda and Slobodan Marko Beroš
Evaluation of Fatigue Behavior of SAE 9254 Steel Suspension
Springs Manufactured by Two Different Processes:
Hot and Cold Winding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
Carolina Sayuri Hattori, Antonio Augusto Couto, Jan Vatavuk,
Nelson Batista de Lima and Danieli Aparecida Pereira Reis
Yield Criteria for Incompressible Materials
in the Shear Stress Space. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
Vladimir A. Kolupaev, Alexandre Bolchoun and Holm Altenbach
The Optimum Design of Laminated Slender Beams with Complex
Curvature Using a Genetic Algorithm . . . . . . . . . . . . . . . . . . . . . . . . 121
Jun Hwan Jang and Jae Hoon Kim
A Finite Element Approach for the Vibration
of Single-Walled Carbon Nanotubes. . . . . . . . . . . . . . . . . . . . . . . . . . 139
Seyyed Mohammad Hasheminia and Jalil Rezaeepazhand
vii
viii Contents
Characteristics of Welded Thin Sheet AZ31 Magnesium Alloy . . . . . . 147
Mahadzir Ishak, Kazuhiko Yamasaki and Katsuhiro Maekawa
Localization of Rotating Sound Sources Using Time Domain
Beamforming Code. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Christian Maier, Wolfram Pannert and Winfried Waidmann
Mathematical Modelling of the Physical Phenomena
in the Interelectrode Gap of the EDM Process by Means
of Cellular Automata and Field Distribution Equations . . . . . . . . . . . 169
Andrzej Golabczak, Andrzej Konstantynowicz and Marcin Golabczak
Free Vibration Analysis of Clamped-Free Composite Elliptical
Shell with a Plate Supported by Two Aluminum Bars . . . . . . . . . . . . 185
Levent Kocer, Ismail Demirci and Mehmet Yetmez
Vibration Analysis of Carbon Fiber T-Plates with Different
Damage Patterns. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195
Ismail Demirci, Levent Kocer and Mehmet Yetmez
Mechanical Characteristics of AA5083: AA6013 Weldment
Joined With AlSi12 and AlSi5 Wires . . . . . . . . . . . . . . . . . . . . . . . . . 205
Mehmet Ayvaz and Hakan Cetinel
Numeric Simulation of the Penetration of 7.62 mm Armour
Piercing Projectile into Ceramic/Composite Armour. . . . . . . . . . . . . . 219
Ömer Eksik, Levent Turhan, Enver Yalçın and Volkan Günay
In-situ TEM Observation of Deformations in a Single Crystal
Sapphire During Nanoindentation . . . . . . . . . . . . . . . . . . . . . . . . . . . 229
Fathi ElFallagh, Aiden Lockwood and Beverley Inkson
The Effect of Nanotube Interaction on the Mechanical Behavior
of Carbon Nanotube Filled Nanocomposites. . . . . . . . . . . . . . . . . . . . 241
Beril Akin and Halit S. Türkmen
An Automatic Process to Identify Features on Boreholes
Data by Image Processing Techniques . . . . . . . . . . . . . . . . . . . . . . . . 249
Fabiana Rodrigues Leta, Esteban Clua, Mauro Biondi, Toni Pacheco
and Maria do Socorro de Souza
An Optimization Procedure to Estimate the Permittivity
of Ferrite-Polymer Composite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263
Ramadan Al-Habashi and Zulkifly Abbas
Neural Model for Prediction of Tires
Eigenfrequencies
Zora Jancˇíková, Pavel Koštial, Dana Bakošová, David Seidl,
Jirˇi David, Jan Valícˇek and Marta Harnicˇárová
Z.Jancˇíková(&)(cid:2)J.David
DepartmentofAutomationandComputerScienceinMetallurgy,FacultyofMetallurgyand
MaterialsEngineering,VŠB-TechnicalUniversityofOstrava,17.listopadu15/217270833
Ostrava-Poruba,CzechRepublic
e-mail:[e-mail]
J.David
e-mail:[e-mail]
P.Koštial
DepartmentofMaterialEngineering,FacultyofMetallurgyandMaterialsEngineering,
VŠB-TechnicalUniversityofOstrava,17.listopadu15/217270833Ostrava-Poruba,Czech
Republic
e-mail:[e-mail]
D.Bakošová
DepartmentofPhysicalEngineeringofMaterials,FacultyofIndustrialTechnologies,
UniversityofAlexanderDubcˇekinTrencˇín,I.Krasku491/3002001Púchov,Slovak
Republic
e-mail:[e-mail]
D.Seidl
DepartmentofComputerScience,FacultyofElectricalEngineeringandComputerScience,
VŠB-TechnicalUniversityofOstrava,17.listopadu15/217270833Ostrava-Poruba,Czech
Republic
e-mail:[e-mail]
J.Valícˇek
InstituteofPhysics,FacultyofMiningandGeology,RMTVC,FacultyofMetallurgyand
MaterialsEngineering,VŠB-TechnicalUniversityofOstrava,17.listopadu15/217270833
Ostrava-Poruba,CzechRepublic
e-mail:[e-mail]
J.Valícˇek
RMTVC,FacultyofMetallurgyandMaterialsEngineering,VŠB-TechnicalUniversityof
Ostrava,17.listopadu15/217270833Ostrava-Poruba,CzechRepublic
M.Harnicˇárová
NanotechnologyCentre,VŠB-TechnicalUniversityofOstrava,17.listopadu15/217270833
Ostrava-Poruba,CzechRepublic
e-mail:[e-mail]
A.ÖchnserandH.Altenbach(eds.),ExperimentalandNumericalInvestigation 1
ofAdvancedMaterialsandStructures,AdvancedStructuredMaterials41,
DOI:10.1007/978-3-319-00506-5_1,(cid:2)SpringerInternationalPublishingSwitzerland2013
2 Z.Jancˇíkováetal.
Abstract The work is devoted to the application of an artificial neural network
(ANN) to analyze eigenfrequencies of personal tires of different construction.
Experimental measurements of personal tire eigenfrequencies by electronic
speckle interferometry (ESPI) are compared with those previewed by ANN. Very
good agreement of both data sets is presented.
Keywords Tires (cid:2) Modal analysis (cid:2) Neural networks (cid:2) Speckle interferometry
1 Introduction
Important factors in the product development process are the dimensioning of
components, the exact determination of material properties, the usage of new
materials and the improvement offinite element (FE) calculations. In all of these
areas,betterunderstandingofmaterialandcomponentbehaviorisrequired,which
certainlyisachallengetoexperimentalmeasuringmethods.Needsforagoodtire
are low rolling resistance, proper hysteresis losses, new tread design, high wear
resistance compound and new tire construction.
Tires are the dominant noise sources in vehicles in typical driving conditions.
The tire/road noise emission is never omnidirectional as it is generally assumed
when used in road traffic noise calculation models.
Theinfluenceoftire-pavementinteractionanditsinfluenceonnoisegeneration
were extensively studied in [1]. Onboard sound intensity (OBSI) measurements
were taken to quantify the tire pavement noise source strength as a function of
pavement parameters. The OBSI results fell into three pavement groupings based
on spectral shape. More than other parameters, these groupings were determined
bywhetherthepavementwasporousornotandwhetheritwasneworolder.The
OBSI results also indicated that single-layer porous pavements were particularly
effective at reducing tire pavement noise source strength at frequencies above
1,250 Hz for designs 18–33 mm thick. For a thicker, double-layer porous pave-
ment, source strength reductions extended down to 630 Hz.
Inthework[2]weredeterminedandcomparedthedirectivitypatternsof noise
from various passenger car tires rolling on various pavements. The selection of
pavements consisted of ‘‘normal-noise’’ and ‘‘low-noise’’ pavements including
experimental poroelastic pavements. The influence of speed, pavement and tire
on noiseemissiondirectivitypatternsispresentedanddiscussedinthiswork.
In the work [3] coupling texture and noise data, collected with RoboTex and
OBSI,respectively,isservingtoadvancethestateoftheart.Thisworkutilizeddata
collectedonover1,000uniqueconcretepavementtestsectionslocatedthroughout
NorthAmerica.Theultimategoalofthisworkistoidentifythefundamentallinks
between texture and noise. In the interim, more relevant phenomenological links
are sought that have the potential to be expanded to more fundamental models as
more is learned about these complex phenomena.
NeuralModelforPredictionofTiresEigenfrequencies 3
The paper [4] presents the measurement and analysis of rolling tire vibrations
due to road impact excitations, such as from cobbled roads, junctions between
concrete road surface plates, railroad crossings. Vibrations of the tire surface due
to road impact excitations cause noise radiation in the frequency band typically
below 500 Hz. Tire vibration measurements with a laser Doppler vibrometer are
performed on a test set-up based on tire-on-tire principle which allows highly
repetitiveandcontrollableimpactexcitationtestsundervariousrealisticoperating
conditions. The influence on the measured velocity of random noise, cross sen-
sitivityandalignmenterrorsisdiscussed.Anoperationalmodalanalysistechnique
is applied on sequential vibration measurements to characterize the dynamic
behavioroftherollingtire.Comparisonbetweentheoperationalmodalparameters
of the rolling tire and the modal parameters of the non-rolling tire allows an
assessment of the changes in dynamic behavior due to rolling.
Application of electronic speckle interferometry for measurements of tires
eigenfrequencies was described in [5]. Authors studied the large amount of tires
with different construction and its influence on the eigenfrequency spectrum.
Neuralnetworksaresuitableformodelingofcomplexsystemsespeciallyfrom
thereasonthattheirtypicalpropertyiscapabilityoflearningonmeasureddataand
capability of generalization. Neural networks are able to appropriately express
general properties of data and relations among them and on the contrary to sup-
press relationships which occur sporadically or they are not sufficiently reliable
andstrong[6].Theapplicationofneuralnetworksinthematerialengineeringand
technology were extensively developed also in [7, 8].
In this chapter we present the application of ANN on prediction of eigenfre-
quencies ofpersonaltires.Predicteddataarecomparedwiththoseexperimentally
obtained by ESPI.
2 Experimental Procedures
ESPI records the surface displacement of an object in response to the applied
force. ESPI can be used in arrangements where fringes will represent lines of
either in-plane or out-of-plane displacement.
Theout-of-planeset-upcan bebrieflydescribedasfollows:Alaserlightbeam
is split into two. One of the beams, the object beam, is used to illuminate the
object. A video camera is then used to monitor the illuminated object. The other
beam, which is called the reference beam, is directed in such a way that it inter-
sects the view line between the object and video camera. At that point, a partial
mirror is used to deflect the reference beam into the video camera making it
combine with the light reflected off the object. Due to the monochromatic prop-
erties of the laser light, the object and reference beam interfere to produces a
unique speckle pattern. The speckle pattern is recorded by the video camera and
digitised in a computer in a similar to stereography system.