详细信息
固体推进剂螺旋压伸挤出过程流变模型建立
Establishment of Rheological Model of Solid Propellant in Spiral Extrusion Process
文献类型:期刊文献
中文题名:固体推进剂螺旋压伸挤出过程流变模型建立
英文题名:Establishment of Rheological Model of Solid Propellant in Spiral Extrusion Process
作者:何家隆[1];谷琳[1];朱钰婷[1];宋秀铎[2];杨雪琴[3];马玉录[1];谢林生[1]
机构:[1]华东理工大学绿色高效过程装备与节能教育部工程研究中心,上海200237;[2]西安近代化学研究所,西安710065;[3]山西北方兴安化学工业有限公司,太原030000
年份:2021
卷号:35
期号:2
起止页码:58
中文期刊名:中国塑料
外文期刊名:China Plastics
收录:CSTPCD;;Scopus;北大核心:【北大核心2020】;CSCD:【CSCD2021_2022】;
语种:中文
中文关键词:固体推进剂;流变模型;数值模拟;最小二乘法
外文关键词:propellant;rheological model;numerical simulation;least square
摘要:在对固体推进剂的螺旋压伸过程进行研究的基础上,探究了一种新型的固体推进剂流变模型的建立方法,即采用最小二乘法拟合基于毛细管流变仪测试所得数据,得到初步固体推进剂流变本构模型,利用Polyflow有限元仿真软件模拟毛细管流变仪测试过程,对流变本构模型参数进行修正,确定最终的推进剂流变本构模型。通过实验数据拟合与有限元模拟相结合的方法建立推进剂的流变本构模型,为用有限元法仿真模拟固体推进剂的螺旋挤出过程奠定基础。结果表明,采用数据拟合和数值模拟相结合得到的推进剂流变模型进行模拟实验得到的数据与真实数据误差均在10%左右,符合数值模拟预期结果。
On the basis of research results in the spiral compression and extension process of solid propellant,a new method was explored to establish a rheological model of solid propellant.To develop this new method,a least square method was used to fit the data obtained from the capillary rheometer test to achieve a preliminary solid propellant rheological constitutive model.The test process of the capillary rheometer was then simulated by using by a Polyflow finite element simulation software to correct the parameters of the rheological constitutive model so as to determine the final propellant rheological constitutive model.The rheological constitutive model of the propellant was established through a combination of experimental data fitting and finite element simulation.This lays a foundation for simulating the spiral extrusion process of solid propellant with a finite element method.The results indicated that there was only an error of around 10%between the real data and the data obtained from the simulation with the propellant rheological model by a combination of data fitting and numerical simulation.The obtained results were in good agreement with the expected results from the numerical simulation.
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