Chrome Extension
WeChat Mini Program
Use on ChatGLM

Development of a higher power cooling system for lithium targets

Applied Radiation and Isotopes(2015)

School of Physics and Astronomy | STFC Rutherford Appleton Laboratory | University of Huddersfield

Cited 5|Views32
Abstract
The accelerator based Boron Neutron Capture Therapy beam at the University of Birmingham is based around a solid thick lithium target cooled by heavy water. Significant upgrades to Birmingham's Dynamitron accelerator are planned prior to commencing a clinical trial. These upgrades will result in an increase in maximum achievable beam current to at least 3mA. Various upgrades to the target cooling system to cope with this increased power have been investigated. Tests of a phase change coolant known as “binary ice” have been carried out using an induction heater to provide a comparable power input to the Dynamitron beam. The experimental data shows no improvement over chilled water in the submerged jet system, with both systems exhibiting the same heat input to target temperature relation for a given flow rate. The relationship between the cooling circuit pumping rate and the target temperature in the submerged jet system has also been tested.
More
Translated text
Key words
Lithium target,BNCT,Cooling
PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
M. J. Wang, N. Kusumoto
2001

被引用61 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文研究了为应对升级后的加速器产生的更高功率,开发一种更高效的锂靶冷却系统,实验表明新型相变冷却剂“二元冰”在提高冷却效率方面并未优于传统冷却方法。

方法】:通过使用感应加热器模拟加速器束流产生的功率,测试了相变冷却剂“二元冰”在 submerged jet 系统中的冷却效果。

实验】:实验使用了感应加热器进行测试,数据集名称未提及,结果显示相变冷却剂“二元冰”在 submerged jet 系统中的冷却效果与传统冷水系统相当,未表现出优势。同时,还测试了冷却回路泵送速率与靶温度之间的关系。