Exemplary embodiments relate to methods, mediums, and systems for associating information, including critical-to-quality (CTQ) information such as minimum or maximum part dimensions, with parts in a three-dimensional model of a product. The information may be identified by performing a failure mode effect analysis (FMEA) against the model. The information is stored with the model data (e.g., in the form of an annotation applied to a model feature corresponding to the part in question). The model data may be consulted by product lifecycle management (PLM) applications during various phases of the product's lifecycle. Among other possibilities, the information may be used to automatically generate regulatory compliance documentation, to ensure product quality standards are met during a manufacturing process, or to perform postproduction quality monitoring of the product.

Exemplary embodiments relate to methods, mediums, and systems for associating information, including critical-to-quality (CTQ) information such as minimum or maximum part dimensions, with parts in a three-dimensional model of a product. The information may be identified by performing a failure mode effect analysis (FMEA) against the model. The information is stored with the model data (e.g., in the form of an annotation applied to a model feature corresponding to the part in question). The model data may be consulted by product lifecycle management (PLM) applications during various phases of the product's lifecycle. Among other possibilities, the information may be used to automatically generate regulatory compliance documentation, to ensure product quality standards are met during a manufacturing process, or to perform postproduction quality monitoring of the product.

A management apparatus includes a processor configured to: autonomously collect, even without an instruction from a user, attribute data concerning attributes of a product defined by a three-dimensional shape, in accordance with a collection rule for collecting the attribute data concerning the product, the attribute data being generated in individual process stages before the product is manufactured; associate the collected attribute data with three-dimensional shape data indicating the three-dimensional shape of the product, as attributes of the three-dimensional shape data, in accordance with a superimposition rule which defines association between the three-dimensional shape data and the attribute data concerning the product; and manage the three-dimensional shape data and the attributes of the product.

A management apparatus includes a processor configured to: autonomously collect, even without an instruction from a user, attribute data concerning attributes of a product defined by a three-dimensional shape, in accordance with a collection rule for collecting the attribute data concerning the product, the attribute data being generated in individual process stages before the product is manufactured; associate the collected attribute data with three-dimensional shape data indicating the three-dimensional shape of the product, as attributes of the three-dimensional shape data, in accordance with a superimposition rule which defines association between the three-dimensional shape data and the attribute data concerning the product; and manage the three-dimensional shape data and the attributes of the product.

An engineering apparatus that is used for supporting engineering of facilities in an industrial plant according to one aspect of the present invention includes a storage storing a first data file group including first data files, the first data files including element information indicating one or a plurality of functional blocks that are constituent elements of a control logic for controlling operation of the industrial plant, a processor configured to change the element information included in the first data files, and a determiner configured to acquire a second data file group including second data files, the second data files including the changed element information in another engineering apparatus, extract differential files including the changed element information from each of the first data file group and the second data file group, and determine whether there is mismatching between functional blocks indicated by the element information included in the differential files.

Exemplary embodiments relate to methods, mediums, and systems for associating information, including critical-to-quality (CTQ) information such as minimum or maximum part dimensions, with parts in a three-dimensional model of a product. The information may be identified by performing a failure mode effect analysis (FMEA) against the model. The information is stored with the model data (e.g., in the form of an annotation applied to a model feature corresponding to the part in question). The model data may be consulted by product lifecycle management (PLM) applications during various phases of the product's lifecycle. Among other possibilities, the information may be used to automatically generate regulatory compliance documentation, to ensure product quality standards are met during a manufacturing process, or to perform postproduction quality monitoring of the product.

Exemplary embodiments relate to methods, mediums, and systems for associating information, including critical-to-quality (CTQ) information such as minimum or maximum part dimensions, with parts in a three-dimensional model of a product. The information may be identified by performing a failure mode effect analysis (FMEA) against the model. The information is stored with the model data (e.g., in the form of an annotation applied to a model feature corresponding to the part in question). The model data may be consulted by product lifecycle management (PLM) applications during various phases of the product's lifecycle. Among other possibilities, the information may be used to automatically generate regulatory compliance documentation, to ensure product quality standards are met during a manufacturing process, or to perform postproduction quality monitoring of the product.

An engineering apparatus that is used for supporting engineering of facilities in an industrial plant according to one aspect of the present invention includes a storage storing a first data file group including first data files, the first data files including element information indicating one or a plurality of functional blocks that are constituent elements of a control logic for controlling operation of the industrial plant, a processor configured to change the element information included in the first data files, and a determiner configured to acquire a second data file group including second data files, the second data files including the changed element information in another engineering apparatus, extract differential files including the changed element information from each of the first data file group and the second data file group, and determine whether there is mismatching between functional blocks indicated by the element information included in the differential files.

A method for manufacturing a turbine engine blade including an airfoil with a profile defined by a theoretical digital model, the method including: manufacturing a blank having a thickened portion along a trailing edge of the airfoil relative to the theoretical profile; removing the thickened portion by adaptive machining, including: positioning the blank in a reference frame; acquiring, by probing at a predetermined number of points on a first surface of the blank along the trailing edge, positions of the points in the reference frame; determining differences, in one direction, in position from corresponding points of the theoretical model; producing machining grids on the blank surface, peaks of the grids determined from the points; determining an amount of material to be removed from the surface of the grids, based on the position of the points relative to the peaks and the deviations in position; and machining the airfoil.

Systems, methods, and computer readable mediums. A method includes receiving a geometric model including at least one removal feature having at least one face, the removal feature being a feature that is removed prior to variational solving and recreated after a variational solution has been applied into the geometric model. The method includes designating at least one face of the removal feature as a remain variational face that will not be removed during a variational edit. The method includes adding a constraint to the remain variational face of the removal feature and performing the variational edit on the model to produce an edited model, including applying the constraint. The method includes storing the edited model.