Nguyễn Anh Tuấn, Châu Văn Tạo
Tạp chí Phát triển Khoa học và Công nghệ – Khoa học Tự nhiên, 4(4):737-743
Tóm tắt:
Chùm electron năng lượng cao phát ra từ các máy gia tốc ngày càng được ứng dụng rộng rãi trong xử lý thực phẩm, y tế, biến tính vật liệu, đổi màu đá bán quý và xử lý môi trường gồm nước thải, khí thải và bùn thải. Chùm electron phát ra từ máy gia tốc chỉ hữu hiệu trong việc xử lý bề mặt vì khả năng xuyên sâu thấp, do đó khi cần xử lý khối vật liệu có mật độ mặt cao chùm electron được bắn vào bia nặng để chuyển đổi sang tia X theo cơ chế phát bức xạ hãm. Trong báo cáo này, hiệu suất chuyển đổi tia X được xác định bằng thực nghiệm đo liều hấp thụ gây ra bởi chùm electron và chùm photon kết họp mô phỏng MCNP4c2 cho các bia khác nhau, với các mức năng lượng chùm electron tới bia 5 MeV, 7,5 MeV và 10 MeV. Kết quả mô phỏng MCNP4c2 và đo thực nghiệm đo liều bằng liều kế phim cho thấy hiệu suất chuyển đổi phụ thuộc vào vật liệu bia và năng lượng chùm electron tới. Hiệu suất chuyển đổi cao nhất khi sử dụng bia hỗn hợp Ti – H20 – Pb, với kết quả tương ứng với các mức năng lượng 5,0 MeV, 7,5 MeV và 10,0 MeV là 5,57 %, 7,12 % và13,54 %. Bia hỗn hợp Ti – H2O – Pb có tính ứng dụng thực tế cao vì bia được cấu tạo với 3 lớp vật liệu vở bọc Ti có chức năng chịu lực, chịu nhiệt, nước giải nhiệt được luân chuyển giữ lớp Ti và Pb để giải nhiệt cho bia.
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Abstract:
The abandonment of stone quarries establishes a quarry lake ecosystem that includes soil, water, fish, and vegetarian cover. The activity concentrations (ACs) of natural radionuclides in the waters of several quarry lakes worldwide have not been investigated. In addition, the features of radionuclides, such as distribution, seasonal variability, and health risks, have not been studied. In this study, the ACs of 226Ra, 234U, and 238U were measured in a typical quarry lake in Vietnam with an area of approximately 4000 m2. The average ACs of 226Ra, 234U, and 238U were 8.3, 13.8, and 17.7 mBq L−1, respectively. The ratios of 226Ra/234U, 226Ra/238U, and 234U/238U were 0.47, 0.6, and 0.79, respectively. A linear correlation was found between ACs and water depth. The ACs predicted by the QWASI (Quantitative Water, Air, Sediment Interaction) model agree with the measured values.
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Yuki Fujii, Yu Nakazawa, Ewen Lawson Gillies, Eitaro Hamada, Masahiro Ikeno, MyeongJae Lee, Satoshi Mihara, Yuta Miyazaki, Masayoshi Shoji, Chau Thanh Tai, Tomohisa Uchida and Kazuki Ueno for COMET Collaboration
Development Of FPGA-Based Nuclear Electronics Using NI MyRIO Hardware For Small-Scale Radiation Detector Systems
Development and implementation of a wireless real-time radiation monitoring system for LINAC beam delivery monitoring
Vo Hong Hai, Phuc Tri Toan Nguyen and Hieu Trung Nguyen
Science & Technology Development Journal 2024, 27():1-7
Abstract:
Introduction: In this work, we developed a wireless, remote, real-time radiation monitoring system designed to oversee beam delivery in a radiation therapy room equipped with a medical linear accelerator (LINAC).
Methods: This system utilizes a Geiger-Müller detector paired with embedded electronic hardware to accurately record radiation count rates in real-time. The data collected by this system are transmitted through LAN/WAN networks to the internet, ensuring instantaneous accessibility. In addition, a web server and mobile application were developed to display, receive, and archive the data from the radiation counter.
Results: Our system was deployed in the radiation therapy room of the Oncology Hospital in Ho Chi Minh City, demonstrating a remarkable data reception rate of up to 99.8% over a three-day test period from June 27th to 29th, 2022. The system effectively identified beam-on instances and provided precise measurements of the number and duration of beam-on events.
Conclusion: This study demonstrates the feasibility of remote real-time radiation monitoring in medical settings and highlights the potential for enhancing radiation safety and treatment efficacy in external beam radiotherapy.
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Determining the thickness of a thin aluminum sheet using the transmission measurement of X-rays with varying energies: A comparative analysis between calibration curve fitting and artificial neural network approaches
Nguyen Thi Truc Linh, Nguyen Huynh Duy Khang, Le Thi Ngoc Trang, Huynh Dinh Chuong, Tran Thien Thanh, Huynh Truc Phuong, Hoang Duc Tam
Nuclear Instruments and Methods in Physics Research A
Abstract:
This study proposes an innovative configuration for thickness measurement based on X-ray transmission, intending to improve the precision of measuring thin aluminum sheets. In this configuration, an activation sample containing Zr, Sb, and Ba elements is irradiated by 59.54 keV gamma rays emitted from three 241Am radioactive sources with a total activity of 1.78 GBq. Subsequently, the activation sample emits fluorescent Xrays at energy levels of 15.78 keV (Zr-Kα1,2), 17.67 keV (Zr-Kβ1), 26.36 keV (Sb-Kα1,2), 29.73 keV (Sb-Kβ1), 32.2 keV (Ba-Kα1,2), and 36.38 keV (Ba-Kβ1). These X-rays are collimated into a narrow beam, which then penetrates through an absorbing sample, and is ultimately recorded by a Si(Li) detector. Two different approaches are investigated to determine the thickness of absorbing samples including Calibration Curve Fitting (CCF) and Artificial Neural Network (ANN). The CCF approach requires constructing linear calibration curves for establishing the relationship between lnR (R is the ratio of the peak areas in measurements with and without absorbing sample) and the thickness of the absorbing sample at each X-ray energy level. The sample thickness is then determined by calculating a weighted average of the measured thicknesses associated with all analyzed energy levels. This approach requires in-depth understanding of radiation physics and proficiency in X-ray spectrum analysis. Meanwhile, the ANN approach uses raw spectra obtained by the Si(Li) detector to predict the thickness of aluminum sheets, facilitating analysis without requiring human intervention. The reliability of these approaches is evaluated through experimental measurements on aluminum sheets with thicknesses ranging from 0.064 cm to 1.074 cm. The results indicate that using X-rays with many different energies leads to superior accuracy in thickness measurements compared to using X-rays with a single energy. Besides, both the CCF and ANN approaches yield relative deviations of less than 3% between the predicted and reference thicknesses. It is important to emphasize that the ANN approach represents a promising solution for automated analysis without the intervention of experts.
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