combustion rate meaning in Chinese
燃烧率
燃烧速度
燃烧速率
Examples
- This article mainly discussed the influence law of kno3 on combustion rate , combustion flame and generation of the relic amount
本文主要论述了硝酸钾对水基热气溶胶灭火剂的燃烧速度、燃烧火焰、残渣生成量等方面的影响规律。 - Besides that , this paper also analysed the reason due to which the adding kno3 cause the variation of combustion rate and particular combustion effects
并分析了硝酸钾引入该灭火剂中后引起的燃烧速度变化及其特殊燃烧现象的原因。 - The effects of the content , granularity and purity of the raw materials ( zirconium powder , viton and dicyandiamide ) on the combustion rate were measured and their effects on its detonation heat and its combustion heat were estimated . the investigation on the combustion reaction mechanism showed that surface decomposition of dicyandiamide was the control step of the combustion reaction . the slowdown and combustion - resistant effects of dicyandiamide were of endothermic characteristic
测量了锆粉、氟橡胶、双氰胺等原材料含量、粒度、纯度等对药剂燃速的影响，估算了它们对药剂爆热和燃烧热的影响，并对药剂燃烧反应机理进行了探索研究，发现双氰胺的表面分解是药剂燃烧反应的控制步骤，其减速、阻燃作用具有吸热特征，氟橡胶对药剂的热输出有较大贡献。 - Mean mass reactivity parameter was proposed to evaluate combustion reactivity of semi - coke . integral method and linear regress in section method were adopted to calculate reaction progression and activity energy respectively . according to kinetic parameters calculated above , an equation of combustion rate was established to forecast combustion process of semi - coke
用积分法确定半焦燃烧反应级数，用分段线性回归法求取不同实验条件下的反应活化能和频率因子，并根据求得的动力学参数确定半焦燃烧的反应速度方程，以此来预测半焦的燃烧过程。 - ( 4 ) the application of artificial neural network in the field was studied . by bp ( back - propagation networks ) neural network and rational choice of the calculation factor , the relation between the improved mixture composition and combustion rate , and that between the charge of ignition rocket and p - t curve were simulated . the model could exhibit in essence the inherent relation and the forecasted results were in good agreement with the actual testing results , which showed that the model could be used as a guide for the design of the composition and the ignition engine , and that artificial neural network could be employed in the field for the purpose of reducing experimental work of hazardous materials
( 4 )对人工神经网络在该领域的应用进行了研究，先后利用误差反传神经网络( bp网络) ，并选择合理的计算因子，分别对改进耐水点火药配方与燃烧速度以及点火发动机装药与p - t曲线进行了模拟，模型基本能够反应它们之间的内在联系，预测结果与实际测试结果基本吻合，模型基本能够指导药剂配方和点火发动机的设计，表明了人工神经网络可以应用于该领域以期达到减少危险品试验的目的。