{"title":"Automatic Optimization of JWL‐Miller parameters of HMX‐based aluminized explosive based on genetic algorithm","authors":"Xing‐Long Li, Ke‐Quan Chen, Heng‐Jian Huang, Sha Yang, Qing‐Guan Song, Wei Cao, Zhong‐Hua Lu, Chao Tian, Cheng Hua","doi":"10.1002/prep.202300195","DOIUrl":null,"url":null,"abstract":"The calibration of JWL‐Miller equation of state (EOS) parameters for aluminized explosive is a cumbersome but important work in explosive evaluation. Manual calibration is usually adopted while the work may be tedious and the optimal results may be unachievable. An automatic calibrating method was established to optimize this procedure based on genetic algorithm program and finite element software. Optimal JWL‐Miller EOS parameters were achieved by iterative calculation calibrating with cylinder test results and underwater‐explosion experiment results. Cylinder test results were adopted to illustrate the initial phase of explosion, and underwater explosion experiments were conducted to calibrating the Miller term of the equation of state. The results showed that the error between cylinder test and simulation result was less than 1 %, the error of underwater explosion impulse between test and simulation results was less than 3.73 %. The optimized parameters of JWL‐Miller EOS will be useful in the numerical simulation research of aluminized explosives.","PeriodicalId":20800,"journal":{"name":"Propellants, Explosives, Pyrotechnics","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Propellants, Explosives, Pyrotechnics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/prep.202300195","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
The calibration of JWL‐Miller equation of state (EOS) parameters for aluminized explosive is a cumbersome but important work in explosive evaluation. Manual calibration is usually adopted while the work may be tedious and the optimal results may be unachievable. An automatic calibrating method was established to optimize this procedure based on genetic algorithm program and finite element software. Optimal JWL‐Miller EOS parameters were achieved by iterative calculation calibrating with cylinder test results and underwater‐explosion experiment results. Cylinder test results were adopted to illustrate the initial phase of explosion, and underwater explosion experiments were conducted to calibrating the Miller term of the equation of state. The results showed that the error between cylinder test and simulation result was less than 1 %, the error of underwater explosion impulse between test and simulation results was less than 3.73 %. The optimized parameters of JWL‐Miller EOS will be useful in the numerical simulation research of aluminized explosives.
期刊介绍:
Propellants, Explosives, Pyrotechnics (PEP) is an international, peer-reviewed journal containing Full Papers, Short Communications, critical Reviews, as well as details of forthcoming meetings and book reviews concerned with the research, development and production in relation to propellants, explosives, and pyrotechnics for all applications. Being the official journal of the International Pyrotechnics Society, PEP is a vital medium and the state-of-the-art forum for the exchange of science and technology in energetic materials. PEP is published 12 times a year.
PEP is devoted to advancing the science, technology and engineering elements in the storage and manipulation of chemical energy, specifically in propellants, explosives and pyrotechnics. Articles should provide scientific context, articulate impact, and be generally applicable to the energetic materials and wider scientific community. PEP is not a defense journal and does not feature the weaponization of materials and related systems or include information that would aid in the development or utilization of improvised explosive systems, e.g., synthesis routes to terrorist explosives.