首页|基于双层蒙特卡洛算法的活动翼面运动机构装配偏差分析方法

基于双层蒙特卡洛算法的活动翼面运动机构装配偏差分析方法

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飞机活动翼面通过滑轨组件实现相对运动,其装配质量直接影响活动翼面的气动性能,需在设计时开展装配偏差分析并控制装配质量.滑轨与固定轨道间设有装配间隙,无法确定轨道对滑轨的约束情况,因而无法直接求解装配偏差.设计了一种双层蒙特卡洛算法,并基于此提出了适用于活动翼面运动机构的装配偏差分析方法.算法考虑制造和定位偏差,建立限位空间、滑轨位姿等几何描述,通过统计方法对非确定性约束的装配方案求解,得到确定性的装配偏差分布结果.运用提出的分析方法对飞机前缘缝翼连接机构进行装配偏差研究,通过Python进行仿真计算得到滑轨的装配偏差,结果呈正态分布且收敛,对比两种极限确定性约束方案的装配偏差,得到装配偏差均值处于两者之间,验证了分析方法的有效性,研究结果为活动翼面总装提供技术支撑.
Analysis Method of Assembly Deviation for Motion Mechanism of Movable Airfoil Based on Duplex Monte Carlo Methods
Sliding rails act as connecting components for relative motion of the movable airfoil,and the assembly quality directly affects the aerodynamic performance of the airfoil which is required to be under control with assembly deviation analyzed during the design process.The assembly clearances between the sliding rail and its track make the sliding rail float in the plane normal to the wing span direction.As a result,it is unable to determine the constraints of the assembly and directly solve for the assembly deviation.In this paper,an assembly deviation analysis method for the motion mechanism of the movable airfoil is proposed based on the duplex Monte Carlo method.Considering the manufacturing and assembling errors,the paper builds the geometric model of limit space and sliding rail.Deterministic assembly deviation distribution results can be obtained by solving the assembly schemes with non-deterministic constraints through statistical methods.Applying this analytical method,the assembly deviation calculation model of the leading-edge slat connecting mechanism is proposed and is calculated by Python simulation with the distribution normality and convergence of the results verified.The average value of floating assembly deviation is between two specific extreme deterministic locating schemes,so the constraining non-determinism of floating assembly and the validity of this analysis method are proved.The research could provide a technical support for movable airfoil assembly quality.

movable airfoilmotion mechanismassembly deviationnon-deterministic constraintsduplex Monte Carlo method

陈滢、赵亦希、陈晓波、陈伟

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上海交通大学 机械与动力工程学院,上海 200240

上海市复杂薄板数字化制造重点实验室,上海 200240

活动翼面 运动机构 装配偏差 约束不确定性 双层蒙特卡洛方法

2024

机械设计与研究
上海交通大学

机械设计与研究

CSTPCD北大核心
影响因子:0.531
ISSN:1006-2343
年,卷(期):2024.40(4)