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王锦源(1999—), 男, 博士研究生。E-mail:wjny_njust@163.com |
收稿日期: 2025-03-06
网络出版日期: 2025-05-15
基金资助
国家自然科学基金(52275062)
国家自然科学基金区域联合基金(U24A20112)
江苏省科技成果转化专项资金(BA2023039)
Parametric Design and Modeling of Rolling Linear Guides
Received date: 2025-03-06
Online published: 2025-05-15
滚动直线导轨以其精密导向与动态稳定特性广泛应用于火箭导弹武器发射传动系统, 因功能适配性差异, 同一发射系统涉及多套滚动直线导轨。为实现不同用途、不同型号滚动直线导轨的高效建模、简化设计工作、加快产品设计迭代周期, 针对滚动直线导轨的设计和建模过程, 提出结合动静态特性仿真分析结果和工程师设计经验的双驱动参数化设计体系, 提取影响部件性能的关键结构参数, 基于Python语言对Abaqus有限元软件进行二次开发, 以多款型号滚动直线导轨为例, 建立导轨副参数化建模方法。典型测试案例结果表明:基于双驱动参数化设计体系, 通过Python-Abaqus的参数化建模方法, 建立几何参数可改的参数化模型, 实现用时4 s内建立几何误差小于0.3%的导轨副三维模型。
关键词: 参数化建模; 滚动直线导轨; Python; Abaqus二次开发
王锦源 , 何显松 , 马嘉华 , 胡国享 , 李冬明 , 刘红光 , 朱威霖 , 邓文翔 , 姚建勇 . 滚动直线导轨参数化设计与建模[J]. 弹箭与制导学报, 2025 , 45(2) : 138 -144 . DOI: 10.15892/j.cnki.djzdxb.2025.02.002
Rolling linear guides, known for their precise guidance and dynamic stability, are widely used in rocket and missile weapon launch transmission systems. Due to differences in functional adaptability, multiple sets of rolling linear guides are involved in the same launch system. To achieve efficient modeling, simplify the design process, and accelerate the product design iteration cycle for different purposes and models of rolling linear guides, this paper proposes a dual-drive parametric design system that integrates dynamic and static characteristic simulation analysis results with the engineering design experience of the engineers. The system extracts key structural parameters that affect the performance of the components, redevelops the Abaqus finite element software using the Python language and take multiple models of rolling linear guides as examples to establish a parametric modeling method for the rail pair. The results of typical test cases show that, based on the dual-drive parametric design system and using the Python-Abaqus parametric modeling method, a parametric model with adjustable geometric parameters can be established. This method creates a three-dimensional model of the rail pair with a geometric error of less than 0.3% in under 4 seconds.
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