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Preface - kmutt

Preface - kmutt

KMUTT Annual Research

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. International Conference

110 Uniform and pitting types of corrosion are the main subjects of these works; however, other types of dangerous corrosion such as crevice and stress corrosion are rarely considered. Consequently, this paper presents a study on locating the locations of uniform, pitting, crevice and stress corrosion cracking by AE technique. A low-cost AE source-location system using an FPCA-PC configuration was constructed and employed in our previous work. It was used to locate weak AE signals generated from corrosion sources. In our experiment, these corrosion mechanisms on AISI304 austenitic stainless steel were examined by the system. The results illustrated performances of the system to locate several types of corrosion compared to the activities of AE parameters obtained from LOCAN 320 AE analyzer. IC-100 AN ONLINE-MONITORING WELD QUALITY DURING AC SPOT WELDING PROCESS USING CORRELATION OF ACOUSTIC EMISSION CHARACTERISTIC AND METALLURGY ANALYSIS 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., p. 40 Due to inexpensive cost compared to DC spot welding, AC spot welding is widely used for welding general sheet metal products in auto-mobiles industries and most of its applications are for producing parts of car body. Weld quality testing is of prime importance and normally done by destructive or ultrasonic inspections at present time; however, the techniques can only be applied after welding process completed and require inspection time and labor. Acoustic Emission (AE) is presented in this work to solve the problems by monitoring quality during the welding process. AE signals obtained from AE sensor mounted at an electrode holder were analyzed to describe the weld quality and identify the stage of welding process. Our experiment used different weldingenergy levels with fixed welding cycle on a set of cleaned 1 mm-thickness steel sheets. A broadband sensor of range 0.1 to 1 MHz was used to detect the welding AE signal. A 60 dB electronic pre-amplifier was employed for AE KMUTT Annual Research Abstracts 2005 signal amplification. AE signals were monitored and acquired into a PC-based data acquisition system with a sampling rate of 2.5 MS/s. Since the AE signals obtained from AC spot welding is comparatively more complex and difficult to process, a number of signal processing algorithms were applied to extract AE parameters. The AE parameter analysis was then utilized to determine the features of the weld quality and the characteristic of welding process. Tensile and metallurgraphic tests were applied to verify the proposed method. IC-101 AN ANALYSIS ON UNCERTAINTIES OF DETECTED LOCATIONS OBTAINED FROM CORROSION LOCALIZATION PROCESS USING AE INSPECTION 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., p. 42 Corrosion localization is a crucial step in identifying and analyzing corrosions using Acoustic Emission (AE) technique. Since uncertainties of detected locations are not linear throughout the material and rely on several parameters such as type of material and sensor locations, empirical techniques are usually employed to establish the uncertainty of the result. In this paper, we present mathematically analysis on how errors from different sources constitute uncertainties of detected positions obtained from corrosion localization process using AE inspection. Since the corrosion localization process involves a number of hardware and computational modules, assessment on how errors from these components contribute to the estimated location is complicated. A number of probabilistic models are used to characterize sources of errors in this work. The error model of the computed location is obtained as a result of propagating the error source models through all required stages. The benefits of this analysis are not only on determining the uncertainty of detected corrosion location but also on identifying major sources of the corrosion localization process. These provide insights into sensitivity of each part of the process and allow improvements on the process by reducing uncertainties from such International Conference

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    CONTENTS Page Preface International

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    National Journals

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    54 นอยกวาแบบต

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    56 (Least Square Matching Method)

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  • Page 75 and 76: 68 เปลือกที่ม
  • Page 77 and 78: 70 ของการดูดซ
  • Page 79 and 80: 72 การสกัดดวย
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    National Conferences

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    210 จอมเทียนปา

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    212 การสกัดสาร

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    214 ไดแก อุณหภู

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    216 โดยกลไกของ

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    218 เคลือบเมื่

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    220 สําเริง จัก

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    222 ลดเวลาตลอด

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    224 อุณหภูมิสู

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    226 NC-043 การวิเคร

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    228 เกิดพฤติกร

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    230 เดียว เพื่อ

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    232 มากนอยเพีย

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    234 หลักที่พบใ

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    236 NC-073 การออกแบ

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    238 บทความนี้น

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    240 นําเอาเวคเ

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    242 งานวิจัยนี

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    244 การอบแหงลด

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    246 แยกเฟสต่ํา

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    248 กลบ โดยเปรี

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    250 นํามาใช คือ

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    252 วิเคราะหหา

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    254 NC-123 การวิเคร

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    256 NC-129 เครื่องผ

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    258 สามารถขยาย

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    260 ครั้งที่ 43, 1-

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    262 calculated with the use of the

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    264 Version 1.3.1 และ Softwar

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    266 ขนไกได จากก

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    268 โครงสรางขอ

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    270 การปลูกพืช

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    272 ระดับพึงพอ

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    274 ของแกสโซฮอ

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    276 1) สภาพทั่วไ

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    278 อนุปริญญา แ

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    280 อาชีวศึกษา

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    282 กระทบตอคุณ

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    284 ตั้งกลไกแข

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    286 นุชจรินทร เ

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    288 โดยรวมผูบร

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    290 แนนกระแสไฟ

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    292 NC-222 ผลงานตีพ

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    294 NC-227 เตาเผาไห

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    296 จําเพาะรวม

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    298 NC-238 จลนพลศาส

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    300 ทนงเกียรติ

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    302 ดีเซลนั้นม

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    304 NC-254 การใชเทค

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    306 อาคารศูนยก

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    308 กระบวนการร

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    310 บรรยากาศขอ

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    312 metal ions on 2-AP biosyntheis

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    314 total clones while the ethanol

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    316 การประชุมท

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    318 BioThailand (The 16 th Annual M

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    320 สูงที่สุดพ

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    322 นัยสําคัญท

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    324 ความเขมขนร

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    326 ปลูกแบบพรา

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    328 นี้ทําใหทร

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    330 ดุลชาติ มาน

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    332 ไมโครเมตร ส

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    334 In this study, we collected seq

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    336 กนกรัตน นาค

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    338 การพัฒนาสื

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    340 one of the causes of difficulty

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    342 ทวีรัตน วิจ

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    344 program, Cytoscape. This model

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    346 production demand. Nevertheless

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    348 อุลตราไวโอ

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    350 นี้อยูในชว

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    352 เพื่อนําสว

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    354 trichloroacetic acid (TCA) ม

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    356 ทรัพยากรที

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    358 ในประเทศสห

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    360 8-9 ธันวาคม 2548,

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    362 ซึ่งเกิดขอ

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    364 NC-391 การวิเคร

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    366 การประชุมว

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    368 2547) พบวามหาว

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    370 กนกพร ลีลาเ

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    Authors Index

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    376 จงจิตร หิรั

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    378 ธ ธนธร ทองส

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    380 พยุงศักดิ์

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    382 วรรณพ วิเศษ

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    384 สุดารัตน จิ

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    386 อุลาวัณย กุ

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    388 138, 141, 142 Jarunya Narangaja

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    390 Panida Kongsawadworakul 191 Pan

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    392 Sorakrich Maneewan 124, 136 Sor

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    394 KMUTT Annual Research Abstracts

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