Modelling of machining error flow based on form features for multistage processes
Modelling of machining error flow based on form features for multistage processes
复制标题
基于多阶段过程形状特征的加工误差流建模
DOI：
10.1080/09511920802623985
复制
发表时间：
2009-08
影响因子：
4.1
通讯作者：
Liu, D.
中科院分区：
文献类型：
--
作者：
Jiang, P.;Liu, D.
工件的加工质量是由许多加工工艺要素决定的，如机床、夹具、工艺方案等。特别注意到，在多阶段加工过程中存在质量属性的传播链。由于质量属性的传播链，工件在单个阶段的加工质量不仅由当前阶段的加工要素决定，而且由其前几个阶段的质量属性决定。为了描述传播链，提出了一种基于形式特征的mmp质量控制模型。在此基础上，利用刚体运动学方法建立了误差的线性传播模型，该模型可以明确地描述质量属性加工误差与加工工艺要素之间的映射关系。为了与误差传播模型进行比较，我们建立了上述线性回归模型，利用该误差传播模型确定相关的质量属性。以一个工件为例，验证了误差传播模型能有效地描述质量属性的传播链。
The machining quality of a workpiece is determined by many machining process elements, such as the machine tool, fixturing, and process planning, etc. It is especially observed that there is a propagation chain of quality attributes in the multistage machining processes (MMPs). Owing to the propagation chain of quality attributes, the machining quality of the workpiece at a single stage is determined not only by the machining elements of the current stage, but also by the quality attributes of its previous stages. In order to describe the propagation chain, a form-feature-based quality control model for MMPs is proposed. Based on this, a linear error propagation model is established by the use of a rigid-body kinematics method, which can explicitly describe the mapping relationship between machining errors of quality attributes and machining process elements. In order to have some comparison with the error propagation model, the above linear regression model has been built to enable correlated quality attributes to be determined with this error propagation model. A workpiece has been used to show that the error propagation model can effectively describe the propagation chain of the quality attributes.
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DOI：
10.1115/1.1621424
发表时间：
2003-11
影响因子：
4
作者：
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通讯作者：
D. Djurdjanović;J. Ni
影响因子：
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作者：
Paul F. Zantek;Gordon P. Wright †;R. Plante
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DOI：
10.1287/mnsc.48.5.591.7804
发表时间：
2002-05
期刊：
Manag. Sci.
影响因子：
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作者：
Paul F. Zantek;G. P. Wright;R. Plante
通讯作者：
Paul F. Zantek;G. P. Wright;R. Plante
DOI：
10.1109/tase.2006.877393
发表时间：
2007-04
影响因子：
5.6
作者：
J. Loose;Shiyu Zhou;D. Ceglarek
通讯作者：
J. Loose;Shiyu Zhou;D. Ceglarek
DOI：
10.1016/s0010-4485(01)00111-7
发表时间：
2002-04
期刊：
Comput. Aided Des.
影响因子：
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作者：
E. Bohez
通讯作者：
E. Bohez