基于状态空间模型的精密机床装配精度预测与调整工艺  被引量:33

Assembly Accuracy Prediction and Adjustment Process Modeling of Precision Machine Tool Based on State Space Model

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作  者:洪军[1] 郭俊康[1] 刘志刚[1] 武晓攀[1] 

机构地区:[1]西安交通大学机械制造系统工程国家重点实验室,西安710049

出  处:《机械工程学报》2013年第6期114-121,共8页Journal of Mechanical Engineering

基  金:国家自然科学基金(50935006);国家高技术研究发展计划(863计划;2012AA040701);陕西省科学技术研究发展计划(2010K01-115)资助项目

摘  要:在精密机械装配过程中,整机装配精度保障不能仅通过零件公差设计,还必须通过测量与调整等装配工艺共同实现,因此需要建立装配过程偏差传递预测与控制的数学模型,定量描述装配调整工艺对最终整机精度的影响。运用微分运动矢量作为各装配工序误差状态的统一表达方式,构建了零件公差模型、几何特征测量结果与装配过程偏差源数学表达的对应关系,提出了描述精密机床装配过程中关键几何特征变动、特征测量、调整的偏差传递状态空间模型。基于该模型,根据当前装配工序偏差与装配调整工艺对整机精度的影响规律预测,确定本道工序装配调整策略,从而保障整机装配精度。最后以精密卧式加工中心为对象进行计算分析,验证了该建模方法的有效性。In precision machine assembly process, the product quality is not only depended on the tolerance design, but also on the assurance of the assembly process planning. Therefore, there is a strong need to develop a mathematical analysis method to predict and control the variation in assembly process, and to f'md out the assembly process effect to final accuracy. By the expression of the variation state in different assembly process in form of differential motion vector(DMV) method, a generic mathematical model that directly links variation of key characteristics(KCs) and the assembly process variation sources is built. The state space model describing variation propagation of KCs in machine tool assembly, measurement and adjustment is proposed. Based on this model, the effect of current assembly and adjustment process to final accuracy can be predicted to decide the current adjustment method to the final assembly accuracy assurance. The method's validity is verified by a simulation of the assembly of a precision horizontal machining center.

关 键 词:机床装配 偏差传递 装配工艺 状态空间模型 

分 类 号:TH161[机械工程—机械制造及自动化]

 

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