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Unformatted text preview: . 2. UNCERTAINTY TYPOLOGY The proposed classification (figure 1) has a tree like structure, suitable with object– oriented programming. It is also comprehensive in many ways. Indeed, it accounts for the specific nature of each type of uncertainty or geometrical variation. As it will be shown, these can in turn be represented with the Jacobian-torsor model by FR or FE vectors, allowing the computation of clearances and gap in assemblies. The following sub sections present the details and features of this typology structure. 78 A. Desrochers
GD&T Standards User specified variations (Cumulative) Design driven uncertainties (Required) Part level Assembly level Manufacturing uncertainties Tolerances Clearances Deterministic & Stochastic Process driven uncertainties (Random) Unspecified variations (Independant) Operation driven variations (Predictable) Data mining; Design of experiments; Measurements Metrological uncertainties Assembly uncertainties Load induced strains Temperature induced strains Deterministic & Stochastic approaches Knowledge; Analytical and num...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.
- Spring '10
- The Land