Modelling and optimization of melt cast explosives fabrication process

熔铸炸药制造工艺建模与优化

• 批准号: 470921-2014
• 负责人: Dubois, Charles
• 金额: $ 0.67万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=598575
• 关键词: Modelling; optimization; melt; cast; explosives

Melt-cast explosives charges are used not only in military systems, but also in civilian blasting operations where they act as "booster" to sustain the detonation of gel explosives formulations. These explosives are essentially a dispersion of solid crystals in a fusible matrix such as TNT. As for any explosives devices, the sizes and shapes of the charges are important to their performance. They are prepared by first mixing the solid ingredients in the hot melt explosive and then cast in a mold by gravity. Once filled, the mold is cooled to allow the fusible matrix to set. The rate of cooling process is critical to the quality of the final product. Improper temperature conditions will lead to cracks and trapped void in the part. This project is aimed at modelling the casting and cooling process of generic explosives parts as a means of improving their fabrication. It also has for objectives to facilitate the development of new formulations by studying how variables such as melt rheology and thermal properties affect the casting and cooling process. Therefore, whenever new ingredients will be used, it would be easier to adapt to these changes. The developed models will also be employed to increase safety when new formulations will be mixed for the first times.

熔铸炸药装药不仅用于军事系统，而且还用于民用爆破作业，它们充当“助推器”以维持凝胶炸药配方的爆炸。这些炸药本质上是固体晶体分散在 TNT 等易熔基质中。对于任何爆炸装置，装药的尺寸和形状对其性能都很重要。它们的制备方法是首先将热熔炸药中的固体成分混合，然后通过重力浇注到模具中。填充后，将模具冷却以使可熔基质凝固。冷却过程的速率对于最终产品的质量至关重要。不适当的温度条件会导致零件出现裂纹和残留空隙。该项目旨在对通用炸药零件的铸造和冷却过程进行建模，作为改进其制造的一种手段。它还旨在通过研究熔体流变学和热性能等变量如何影响铸造和冷却过程来促进新配方的开发。因此，每当使用新成分时，都会更容易适应这些变化。当新配方首次混合时，开发的模型也将用于提高安全性。