摘要
现存对再制造复杂机械产品的装配质量控制方法仅考虑当前步骤形成的偏差值,未考虑该过程中的累积偏差,导致质量控制结果不明显,无法提高其装配精确度,因此提出面向再制造复杂机械产品装配质量控制方法的研究。根据装配过程中各种状态变量的偏差数值,建立随时间变化的再制造装配过程状态模型,以装配精度作为目标,根据模型显示的产品状态,采用装配偏差度控制法对其零部件的尺寸公差问题进行处理,并结合再制造过程中的累积偏差值和装配偏差度数值,对零部件公差精度进行分级处理,得到优化后的装配偏差度,减少再制造过程中的累积偏差值影响程度,以弥补现存方法中对该部分的漏洞。最后,根据各再制造复杂机械产品的质量属性分组情况进行质量控制,并对其进行状态转移方程的计算,判断控制后的产品是否符合要求,从而实现再制造复杂机械产品装配质量控制。对上述设计进行实验,结果显示,该方法可以有效提高再制造复杂机械产品的装配精确度,其平均数值为95%。
Existing assembly quality control methods for remanufactured complex mechanical products only consider the deviation values formed in the current step,without accounting for cumulative deviations during the process.This leads to insignificant quality control results and an inability to improve assembly accuracy.Therefore,research on assembly quality control methods for remanufactured complex mechanical products is proposed.Based on the deviation values of various state variables during the assembly process,a time-varying state model for the remanufacturing assembly process is established.With assembly accuracy as the objective,the assembly deviation degree control method is employed to address dimensional tolerance issues of components according to the product states displayed by the model.Furthermore,by integrating cumulative deviation values during the remanufacturing process and assembly deviation degree values,component tolerance precision is classified,resulting in an optimized assembly deviation degree.This reduces the influence of cumulative deviation values in the remanufacturing process,thereby addressing the gaps in existing methods.Finally,quality control is performed based on the grouping of quality attributes of each remanufactured complex mechanical product,and state transition equations are calculated to determine whether the controlled products meet the requirements,thus achieving assembly quality control for remanufactured complex mechanical products.Experiments on the proposed design indicate that this method can effectively enhance the assembly accuracy of remanufactured complex mechanical products,with an average accuracy of 95%.
作者
孟德满
MENG Deman(Beijing Institute of Space Mechatronics,Beijing 102608,China)
出处
《自动化应用》
2025年第15期189-191,194,共4页
Automation Application
关键词
装配偏差度
遗传算法
累积偏差值
控制矩阵
观测向量
assembly deviation degree
genetic algorithm
accumulated deviation value
control matrix
observation vector
