Preface - kmutt

KMUTT Annual Research Abstracts 2005
be inspected and repaired along their life time.
In addition the concentration of sulfur
compound increases due to the accumulation of
the deposit inside the tank, and so does the
corrosive rate. In this paper, Acoustic Emission
(AE) has been chosen to study the characteristic
of AE signals received from the uniform
corrosion mechanism of mild steel (A36) in
various concentrations of Sulfuric acid (H2SO4)
solution. AE signals were captured using a
resonant sensor and recorded by AE system
model LOCAN 320 and spectrum analyzer (HP-
4001A). The relationship between AE signals
and sulfur concentrations were exhibited.
Furthermore the phenomenon of passivation
stage on material was explained via AE
parameter analysis.
IC-097 EFFECT OF SULFURIC ACID
CONCENTRATION ON ACOUSTIC EMISSION
SIGNALS OBTAINED FORM UNIFORM-
CORROSION
Asa Prateepasen, Chalermkiat Jirarungsatean,
Pongsak Tuengsuk
The 1 st International Conference on Advanced
Nondestructive Evaluation (ANDE 2005),
November 7-9, 2005, ICC, Jeju, Korea
In Petroleum industry, corrosion failures
of steel structures are common. The severity of
corrosion in oil distilleries inorganic compounds
is higher than in those of organic compounds.
Inorganic compounds such as sulfur are the most
influential corrosive activators inside oil or
chemical storage tanks. They make the tanks to
be inspected and repaired along their life time.
In addition the concentration of sulfur
compound increases due to the accumulation of
the deposit inside the tank, and so does the
corrosive rate. In this paper, Acoustic Emission
(AE) has been chosen to study the characteristic
of AE signals received from the uniform
corrosion mechanism of mild steel (A36) in
various concentrations of Sulfuric acid (H2SO4)
solution. AE signals were captured using a
resonant sensor and recorded by AE system
model LOCAN 320 and spectrum analyzer (HP-
4001A). The relationship between AE signals
and sulfur concentrations were exhibited.
Furthermore the phenomenon of passivation
stage on material was explained via AE
parameter analysis.
IC-098 IDENTIFICATION OF AE SOURCE IN
CORROSION PROCESS
Asa Prateepasen, Chalermkiat Jirarungsatean,
Pongsak Tuengsuk
The 1 st International Conference on Advanced
Nondestructive Evaluation (ANDE 2005),
November 7-9, 2005, ICC, Jeju, Korea
109
In this paper acoustic emission (AE), a
nondestructive testing technique, was
implemented to detect and study the corrosion
on austenitic stainless steel grade AISI 304. A
number of previous researches on application of
Acoustic Emission (AE) in evaluation of
corrosion in steel were reviewed. Two tests were
conducted at room temperature using an acidic
30% Chloride solution in passive tests procedure
and 3% NaCl solution in electrochemical
process. From the experimental works, it
appears that AE signals can be detected during
corrosion. Data are studied in time and
frequency domain to characterize and to find out
the relation between AE parameter and
corrosion. In addition the source of generated
acoustic signals and corrosive mechanism in the
different corrosive environment condition were
discussed.
IC-099 A STUDY ON SOURCE LOCATION
USING ACOUSTIC EMISSION SYSTEM ON
VARIOUS TYPES OF CORROSION IN
INDUSTRY
Asa Prateepasen, Cherdpong Jomdecha,
Pakorn Kaewtrakulpong
The 3 rd US-Japan Symposium on Advancing
Applications and Capabilities in NDE, June 20-
24, 2005, Maui Prince Hotel, Maui, Hawaii,
USA., pp. 42-43
Corrosion is one of the main causes of
catastrophes in many industries especially
petrochemicals. Several conventional NDT
techniques such as MT PT and UT have been
applied to locate and determine its severity.
However, these techniques require process
disruption and a great deal of preparation for
example; drainage of material from inspection
specimens. Acoustic Emission (AE) inspection
has been introduced to the problem and gain
popularity mainly due to its online
characteristic. This allows contiguous
monitoring of the inspection area without any
process interruption.
A number of researches have been done
in the area of detecting and classifying severity
levels of corrosion detected by AE inspection.
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