摘要
本文通过状态转移方法模拟γ辐照装置的运行,包括上货、下货和辐照等动态过程,研究货物辐照序列和放射源剂量率对整个辐照过程时间的影响。为增加辐照利用率,缩短批次到货货物的辐照时间,通过动态GA-TSP算法(Genetic algorithm-traveling salesman problem)对货物辐照顺序进行排序优化。结果表明:程序能够充分模拟辐照货物的整个过程,放射源剂量率的提高能够有效缩短辐照时间,合理的辐照序列能够明显降低辐照时间。在辐照源剂量率为12 Gy/min时,对实际10个批次来货的情况进行模拟,共触发6次辐照序列的动态优化,相比按照到货顺序辐照的13193 min用时,优化后降低到12137 min,缩短约8%,明显提高放射源的利用率和客户满意度。
In this study,the operation process of aγ-irradiation device,including loading,unloading,and irradiation,was simulated by the state transfer method.The effects of absorbed dose,cargo weight,loading and unloading speeds,and the dose rate of a radiation source on the whole irradiation process were studied.To enhance the irradiation efficiency and shorten the irradiation time required for combined cargo,the irradiation sequence of cargo was optimized using the genetic algorithm-traveling salesman problem(GA-TSP)algorithm.Our results showed that the proposed procedure can simulate the whole irradiation process;the radiation time can be shortened by increasing the dose rate of the radiation source in a reasonable irradiation sequence.At a source irradiation dose rate of 12 Gy/min,the simulation of 10 real incoming batches produced six dynamically optimized irradiation sequences.The time required for the sequential irradiation procedure was reduced from 13193 min to 12137 min,representing a reduction of approximately 8%,owing to the optimization of the irradiation sequence.This optimization significantly increases the availability of radioactive sources and improves customer satisfaction.
作者
羊龙
陈昆
朱智超
苟骁
王维
YANG Long;CHEN Kun;ZHU Zhichao;GOU Xiao;WANG Wei(Sichuan JinHe Irradiation Technology Co.Ltd.,Meishan 620866,China;Sichuan JinHe Polymer Materials Co.Ltd.,Meishan 620866,China)
出处
《辐射研究与辐射工艺学报》
CAS
CSCD
2024年第5期73-83,共11页
Journal of Radiation Research and Radiation Processing
关键词
辐照
优化序列
状态转移
GA-TSP算法
γ-irradiation
Optimization sequence
State transfer
GA-TSP algorithm
