Abstract:
Materials oriented advancement in science and technology plays an important role as a driving force for innovation in various aspects of the human civilization. Materials not only need to possess high reliability but should also have some additional functionalities such as damage
restrains, self-diagnosis, self-repair and notification of residual life. The external loading conditions and presence of inclusions, impurities and defects lead to the formation of cracks and their propagation when there is an increase in stress level. Hence it is presumed that an
engineering component can sometimes fail suddenly without any prior warning as a consequence of these pre-existent defects which can be tedious to detect most of the times.
Every infrastructure is generally designed and built to carry out a specific kind of task for a given operative and loading conditions. To carry out its designed task effectively and safely
the service life is an important factor to be taken care of. There are many factors which affect the proper functionality of the infrastructure such as ageing of host material, extreme use,
overloading and other environmental factors. Thus the possible preventive measure is to determine location, size and severity of the deformation. Structural health monitoring (SHM) is a monitoring technique which aims to identify, locate the damage to prevent the infrastructure from further failure and to predict the remaining life
of the structure. There are several tools used for the SHM viz. tap test, guided wave test,
acoustic emissions monitoring, electrical signals monitoring etc. [1-3]. Among these, deformation induced electromagnetic radiation (EMR) emission detection has evolved as an intriguing research area. Electrical signals were first observed from ionic crystals in the early
19th century by Joffe et al. [4] and were further explored by a number of authors [5-7]. Later electromagnetic radiation (EMR) from materials was directed toward the usage of this
phenomenon in crack propagation monitoring [8], earthquake prognosis [9], snow avalanche
prediction [10], stress sate monitoring of coal mines [11], predicting rock burst [12] and last
but not the least for developing an efficient deformation/failure monitoring technique [13]. Till
now lack of proper understanding of these emissions both from experimental as well as
theoretical point of view restricts this technique being used on a large scale with respect to
deformation monitoring perspective. For using this technique to serve humanity on a large scale
a broad knowledge base for these electromagnetic emissions is necessary and needs further
exploration. A good monitoring system will help to determine the damage in the exact
particular component and with good monitoring system location and extent of damage can be easily predicted. These techniques are very helpful in preventing the failure from turning into a fatal one and will also help in saving the time of the people working with the system.
Keeping the aim of exploring materials which can give maximum EMR signal (which will be used for deformation monitoring) under slightest stimulus and considering the widespread use
of ferroelectric/piezoelectric materials as sensors and actuators these materials are investigated
for the detection of deformation induced electromagnetic radiation. These materials could be
embedded in the main material paving the way for the development of smart composites. The
EMR emissions have been detected from ferroelectric materials using the non-contact detection
technique. Thus the present dissertation showcases the EMR emission detection from
ferroelectrics under different type of loading conditions along with simple mathematical model.
To start exploring the ferroelectric materials for their EMR response we have proceeded with
the simplest possible instrumentation. Firstly, we have investigated electromagnetic radiation
(EMR) signals from soft (SP 5A) and hard (SP 4) PZT ceramics using alternating electric field
as external stimulus. EMR signals were measured when the alternating electric field was
applied on the samples. In all the experiments discussed in the dissertation the EMR signals
have been measured using a non-contact circular loop antenna made up of copper.
Secondly we have also investigated EMR emissions from (1-x)(Bi0.5Na0.5TiO3) x(BaTiO3) (x
= 0.04, 0.05, 0.06, 0.07 & 0.08) lead-free piezoelectric ceramics. Compositions near the
morphotropic phase boundary 0.94(Bi0.5Na0.5TiO3) 0.06(BaTiO3) (BNT-6BT) are studied.
Effect of the strength and frequency of applied electric field has been investigated for both
lead-based and lead-free ferroelectric ceramics. EMR signals have been found to increase with
the increase in strength and frequency of applied electric field.
After the experimental investigations a mathematical model for the EMR emission from
ferroelectric materials when subjected to alternating electric field has been developed. 180o
oscillation of dipoles has been considered as the basis for the formulation of the mathematical
model. For comparison with theoretical model the experimental results of EMR signals from
well-known lead-free ferroelectric BaTiO3 and lead-based ferroelectric soft (SP 5A) and hard
(SP 4) PZT have been compared with the results obtained from the developed mathematical
model. The experimental results in both the cases have found to be in agreement with the
theoretical results.
Hereafter EMR emissions from soft and hard PZTs under impact loading at room temperature
has been detected. In addition to that effect of the change in the strength of d.c poling field on
the EMR voltage signals has also been analyzed. Amplitude of EMR signals has been found to
increase with the magnitude of impact loading and d.c poling field. Soft PZT (SP-5A) has been
tested for EMR signals detection under impact at low temperatures (300 K to 203 K). EMR
amplitude showed a decreasing pattern with lowering of the temperature at which the sample
was placed. Low temperatures restrict the dipole movement and reduced acceleration of
charges under impact at low temperatures corresponds to the decrease in amplitude of EMR
signals. Thereafter EMR signal detection from soft (SP 5A) and hard PZT (SP 4) ceramics
under impact loading at temperatures ranging from room 288 K to 514 K has been done.
Thermal depoling and increase in the volume fraction of non-ferroelastic domains at higher
temperatures reduces the amplitude of EMR signals.
The above mentioned work has been categorized into seven chapters and a chapter wise
breakup of the work is briefly summarized below:
The general introduction of the topic and the motivation behind this work is presented in
Chapter I and in Chapter II a detailed literature review is presented which shows the earlier
work done by the researchers in the field of deformation induced electromagnetic radiation
(EMR) detection.
Chapter III explores the lead-based and lead-free ferroelectric ceramics for electromagnetic
radiation when subjected to alternating electric field. Electromagnetic radiation has been
detected for the increase in the strength of alternating electric field, change in the frequency of
electric field and with the change in the position of the antenna w.r.t the sample.
Chapter IV showcases the mathematical model for the EMR emissions from ferroelectrics
when subjected to alternating electric field. The mathematical model has been validated with
the experimental observations obtained in case of lead-based as well as lead-free ceramics.
Chapter V shows the investigations of soft and hard PZT for the EMR emission detection under
impact loading at room temperature. In addition, effect of extent of poling on the EMR
emission from soft and hard PZT has been analyzed.
Chapter VI presents the EMR emission detection from soft and hard PZT at low and high
temperatures.
Chapter VII shows main conclusions and future scope of the thesis.