DocumentCode :
2973597
Title :
Analytic model of machining errors for thin walled parts based on the deformation of the workpiece-fixture system
Author :
Zhang Fa-ping ; Lu Ji-ping ; Tang Shui-yuan ; Yan Yan ; Sun, Yan Yan
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
174
Lastpage :
178
Abstract :
The analytic model of machining errors caused by the deformation of workpiece-fixture system is put forward for the thin walled parts. To facility the analysis, the traditional mathematical model of tolerance zone is redefined. According to the deformation value of workpiece-fixture system calculated by FEA (Finite element analysis), transform matrixes of workpiece location and cutting points deviation have been constructed. So that location changes of the surface machining points can be acquired. Then machining error model is formulated to describe the deviations caused errors. Further for given surface tolerances the sensitive matrix is constructed to evaluate the influence of locators on the machining errors. The model has great potential to be applied toward fixture design verification and process design evaluation. Finally a study case is used to support and validate the proposed model.
Keywords :
finite element analysis; fixtures; matrix algebra; analytic model; deformation value; finite element analysis; fixture design verification; machining error model; mathematical model; matrices; process design evaluation; sensitive matrix; surface machining points; tolerance zone; workpiece fixture system; workpiece location; Deformable models; Finite element methods; Fixtures; Jacobian matrices; Machining; Mathematical model; Process design; Steel; Sun; Thin wall structures; deformation; machining errors; sensitive matrix; workpiece-fixture system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373393
Filename :
5373393
Link To Document :
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