中国塑料 ›› 2021, Vol. 35 ›› Issue (2): 58-62.DOI: 10.19491/j.issn.1001-9278.2021.02.010

• 加工与应用 • 上一篇    下一篇

固体推进剂螺旋压伸挤出过程流变模型建立

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()   

  1. 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
  • 收稿日期:2020-08-25 出版日期:2021-02-26 发布日期:2021-02-22

Establishment of Rheological Model of Solid Propellant in Spiral Extrusion Process

HE Jialong1, GU Lin1, ZHU Yuting1, SONG Xiuduo2, YANG Xueqin3, MA Yulu1, XIE Linsheng1()   

  1. 1.Engineering Center of Efficient Green Process Equipment and Energy Conservation of Ministry of Education,Shanghai 200237,China
    2.Xi’an Institute of Modern Chemistry,Xi’an,710065,China
    3.Shanxi North Xing’an Chemical Industry,Taiyuan 030000,China
  • Received:2020-08-25 Online:2021-02-26 Published:2021-02-22
  • Contact: XIE Linsheng E-mail:lsxie@ecust.edu.cn

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。

关键词: 固体推进剂, 流变模型, 数值模拟, 最小二乘法

Abstract:

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

Key words: propellant, rheological model, numerical simulation, least square

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