共查询到17条相似文献,搜索用时 156 毫秒
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分析了推进剂药柱与衬层界面脱粘在不扩展条件下的燃面变化,并对相应的燃面面积进行了计算;通过对存在药柱与衬层界面脱粘发动机的内弹道仿真,得到了关于在脱粘面不扩展条件下不同脱粘部位和脱粘尺寸对发动机工作过程影响的一些结论. 相似文献
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为了定义并明确冲量法燃速测试的应用边界,通过对“推进剂药柱点火不同步”、“存在侵蚀”、“推进剂药柱同心度不好”3种情况下终了燃面偏离设计值的分析,提出以最大压强尤其是最大推力处的下降速率作为冲量法燃速测试数据有效性的判据,该判据同时解决了“裸露的推进剂药柱表面同步点火”无法评判的问题。根据燃烧室在无加质条件下燃气质量的变化规律,计算获得燃烧室压强随时间的改变趋势,与试验压强-时间曲线进行对比,提出数据有效性因子K,给出了原始数据有效性的数值判定方法。研究表明,当数据有效性因子K=1~1.2时,冲量法燃速测试结果与恒压发动机燃速测试结果一致性较好,数据有效。同时验证了喷管烧蚀会影响冲量燃速测试的压强范围,但不影响燃速测试结果。 相似文献
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根据平行层燃烧理论,推导了不同药型燃烧面积和燃烧边界长度随燃去肉厚变化的数学规律;在此基础上,建立了固液火箭发动机系统设计模型,将设计过程转化为数学模型;之后采用遗传算法对不同药型固液火箭发动机进行了优化设计.通过对优化结果的比较和分析,开展了不同药型应用于固液火箭发动机的性能特点及其机理的研究,指出了固液火箭发动机不同于固体火箭发动机的内弹道特性. 相似文献
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Internal ballistic simulation (IBS) method of multi-burning-rate solid rocket motor (SRM) was developed based on 3-D burning regression method by parameterized feature CAD model (PFCADM) and lumped parameter, in consideration of time-dependent, erosive-burning-effect from internal ballistic numerical algorithm. By driving multi-parameter CAD model based on PFCADM, the approach is capable of conducting the geometric regression simulation of various grain combinations of complex configurations with different burning rates. Through suitably simplifying the internal ballistic numerical algorithm, the problems of coupling geometric regression simulation of sub-grains of different burning rates and high computational consumption of internal ballistic calculation were solved. One tri-burning-rate grain motor, which had been firing-tested, was used as the validation case of simulation. The results show that, with the 3-D grain regression model and sufficient accurate internal ballistic algorithm, the method realizes IBS of the case in low computational-consumption prediction of its performance within the accuracy of 2% during 1h clock-time. The application of the method provides a practical approach to aid SRM design of multi-burning-rate grain. 相似文献
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《航空动力学报》2015,(12)
Internal ballistic simulation(IBS)method of multi-burning-rate solid rocket motor(SRM)was developed based on 3-D burning regression method by parameterized feature CAD model(PFCADM)and lumped parameter,in consideration of time-dependent,erosive-burning-effect from internal ballistic numerical algorithm.By driving multi-parameter CAD model based on PFCADM,the approach is capable of conducting the geometric regression simulation of various grain combinations of complex configurations with different burning rates.Through suitably simplifying the internal ballistic numerical algorithm,the problems of coupling geometric regression simulation of sub-grains of different burning rates and high computational consumption of internal ballistic calculation were solved.One tri-burning-rate grain motor,which had been firing-tested,was used as the validation case of simulation.The results show that,with the 3-D grain regression model and sufficient accurate internal ballistic algorithm,the method realizes IBS of the case in low computationalconsumption prediction of its performance within the accuracy of 2% during 1hclock-time.The application of the method provides a practical approach to aid SRM design of multi-burning-rate grain. 相似文献
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A Hybrid Optimization Approach for SRM FINOCYL Grain Design 总被引:1,自引:1,他引:1
This article presents a method to design and optimize 3D FINOCYL grain (FCG) configuration for solid rocket motors (SRMs). The design process of FCG configuration involves mathematical modeling of the geometry and parametric evaluation of various independent geometric variables that define the complex configuration. Virtually infinite combinations of these variables will satisfy the requirements of mass of propellant, thrust, and burning time in addition to satisfying basic needs for volumetric loading fraction and web fraction. In order to ensure the acquisition of the best possible design to be acquired, a sound approach of design and optimization is essentially demanded. To meet this need, a method is introduced to acquire the finest possible performance. A series of computations are carried out to formulate the grain geometry in terms of various combinations of key shapes inclusive of ellipsoid, cone, cylinder, sphere, torus, and inclined plane. A hybrid optimization (HO) technique is established by associating genetic algorithm (GA) for global solution convergence with sequential quadratic programming (SQP) for further local convergence of the solution, thus achieving the final optimal design. A comparison of the optimal design results derived from SQP, GA, and HO algorithms is presented. By using HO technique, the parameter of propellant mass is optimized to the minimum value with the required level of thrust staying within the constrained burning time, nozzle and propellant parameters, and a fixed length and outer diameter of grain. 相似文献
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