1999
DOI: 10.1016/s0141-6359(99)00023-9
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Methods for evaluation of systematic geometric deviations in machined parts and their relationships to process variables

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Cited by 91 publications
(58 citation statements)
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“…Several studies have been made using the influence of form variations in assemblies, especially in the case of plane surfaces [6].In our case we considered an assembly of two cylindrical parts with a perfect cylindrical surface [7,8,9,10,11]. The tolerances assigned to the part (1) are position tolerance (coaxiality of the shaft) and the form tolerance (cylindricity of the shaft).…”
Section: Tolerancing Using the Deviations And Clearance Domains Methodsmentioning
confidence: 99%
“…Several studies have been made using the influence of form variations in assemblies, especially in the case of plane surfaces [6].In our case we considered an assembly of two cylindrical parts with a perfect cylindrical surface [7,8,9,10,11]. The tolerances assigned to the part (1) are position tolerance (coaxiality of the shaft) and the form tolerance (cylindricity of the shaft).…”
Section: Tolerancing Using the Deviations And Clearance Domains Methodsmentioning
confidence: 99%
“…Moreover, in this class of modes, banana modes can be identified compared to those generated by Henke et al [28].…”
Section: Rippled Modesmentioning
confidence: 99%
“…The shape of the geometry can be thus be reconstructed by DFT inverse. Henke et al [28] also used the Tchebychef Fourier Series model to describe the forms of a cylinder and identify specific types of error shapes. A model of eigen-shapes derived from a Principal Component Analysis (PCA) was also proposed considering the information from measurements to simulate shapes [29].…”
Section: Geometrical Defects Modelingmentioning
confidence: 99%
“…[18][19][20] This classification is based on the experience that in many manufacturing processes, similar geometric deviations can be observed on every part, whereas some geometric deviations can be observed only on a few workpieces. The systematic deviations are deterministic, predictable and reproducible [18][19][20] and may be depending on the manufacturing process, for example, products of clamping errors or the machine behaviour. In contrast to that, random deviations arise from fluctuations of the production process such as tool wear, varying material properties or fluctuations in environmental parameters (temperature, humidity, etc.).…”
Section: Modelling Geometric Deviationsmentioning
confidence: 99%