Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is configured to store a model of the part including a plurality of build parameters. The manufacturing computer device is also configured to receive current sensor information of at least one current sensor reading of a melt pool from a build of the part in progress. The computer device is further configured to determine one or more attributes of the melt pool based on the current sensor information. Moreover, the computer device is configured to calculate at least one unseen attribute of the melt pool. In addition, the computer device is configured to determine an adjusted build parameter based on the at least one unseen attribute, the one or more attributes, and the plurality of build parameters. The computer device is also configured to transmit the adjusted build parameter to a machine currently manufacturing the part.

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is provided. The manufacturing computer device includes at least one processor in communication with at least one memory device. The at least one memory device stores a build file for building the part including a plurality of geometries that each include one or more values of a first build parameter. The processor is programmed to receive sensor information of a build of the part by a machine, compare the sensor information for each geometry of the plurality of geometries to the corresponding one or more values of the first build parameter, determine one or more values for a second build parameter for each of the geometries based on the one or more differences, and generate an updated build file for the part including the one or more values for the second build parameter.

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is configured to store a build file for building the part including one or more build parameters and receive build information. The manufacturing computer device is also configured to compare the sensor information to the one or more build parameters to determine one or more differences. The computer device is further configured to determine one or more adjustments to the one or more build parameters. Moreover, the computer device is configured to generate an updated build file based on the one or more adjustments. In addition, the computer device is further configured to transmit the updated build file to at least one machine of the plurality of machines for manufacture.

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is configured to store a model of the part including a plurality of build parameters. The manufacturing computer device is also configured to receive current sensor information of at least one current sensor reading of a melt pool from a build of the part in progress. The computer device is further configured to determine one or more attributes of the melt pool based on the current sensor information. Moreover, the computer device is configured to calculate at least one unseen attribute of the melt pool. In addition, the computer device is configured to determine an adjusted build parameter based on the at least one unseen attribute, the one or more attributes, and the plurality of build parameters. The computer device is also configured to transmit the adjusted build parameter to a machine currently manufacturing the part.

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is configured to store a build file for building the part including one or more build parameters and receive build information. The manufacturing computer device is also configured to compare the sensor information to the one or more build parameters to determine one or more differences. The computer device is further configured to determine one or more adjustments to the one or more build parameters. Moreover, the computer device is configured to generate an updated build file based on the one or more adjustments. In addition, the computer device is further configured to transmit the updated build file to at least one machine of the plurality of machines for manufacture.

Abstract: A manufacturing computer device for dynamically adapting additive manufacturing of a part is provided. The manufacturing computer device includes at least one processor in communication with at least one memory device. The at least one memory device stores a build file for building the part including a plurality of geometries that each include one or more values of a first build parameter. The processor is programmed to receive sensor information of a build of the part by a machine, compare the sensor information for each geometry of the plurality of geometries to the corresponding one or more values of the first build parameter, determine one or more values for a second build parameter for each of the geometries based on the one or more differences, and generate an updated build file for the part including the one or more values for the second build parameter.

Abstract: A dataset including boundary representations of shapes associated with an item being designed for manufacture is accessed by a semantic processing module. A semantic graph of each of the boundary representations of shapes is generated and a numerical processing module computes geometric attributes of each of the shapes. The semantic graph of a shape is updated based on any geometric attributes computed for the shape. The semantic graphs are then compared to a repository of semantic graphs of manufacturing features to identify instances of manufacturing features. Geometric attributes associated with each instance of a manufacturing feature are then computed. For each instance, the associated geometric attributes are compared against a repository of semantic manufacturing rules to determine whether the instance is in compliance with the rules. A user designing the item is alerted to the presence of any instances of manufacturing features that are not in compliance with the rules.

Abstract: A method for integrating a measurement device for use in measuring a machine component includes providing a coordinate measuring device, such as a coordinate measuring machine (CMM), and integrating with a plurality of nondestructive examination (NDE) capabilities with a plurality of coordinate measuring device capabilities to form an inspection probe. The method further includes integrating the NDE inspection probe with the coordinate measuring device such that the inspection probe substantially simultaneously measures a plurality of NDE measurements and external/internal geometry and defects of machine component, which are linked to actual component dimensional information provided by CMM. The inspection data can be simultaneously linked to and/or displayed together with a CAD model to enable a direct comparison between the inspection data and the nominal requirements carried on the CAD model.

Abstract: A method for integrating a measurement device for use in measuring a machine component includes providing a coordinate measuring device, such as a coordinate measuring machine (CMM), and integrating with a plurality of nondestructive examination (NDE) capabilities with a plurality of coordinate measuring device capabilities to form an inspection probe. The method further includes integrating the NDE inspection probe with the coordinate measuring device such that the inspection probe substantially simultaneously measures a plurality of NDE measurements and external/internal geometry and defects of machine component, which are linked to actual component dimensional information provided by CMM. The inspection data can be simultaneously linked to and/or displayed together with a CAD model to enable a direct comparison between the inspection data and the nominal requirements carried on the CAD model.

Abstract: A method of re-engineering a part includes generating a parametric master model for the part from an editable geometry for the part and generating a manufacturing context model from a design master model. The design master model includes the parametric master model, and the manufacturing context model includes a number of tooling features. The method further includes creating a tooling master model from the manufacturing context model. The tooling master model includes a tooling geometry for the part. A system for re-engineering a part includes a part design master model module configured to generate the parametric master model from the editable geometry and a tooling master model module configured to receive the parametric master model, to generate the manufacturing context model from the parametric master model, and to create the tooling master model from the manufacturing context model.

Abstract: A method of creating a tooling master model for a manufacturing process for a part includes generating a manufacturing context model from a parametric model for the part. The tooling master model includes a tooling geometry for the part, and the manufacturing context model includes a number of tooling features. A system for generating the tooling master model includes a computer aided design (CAD) system configured to receive the parametric model and to generate the manufacturing context model from the parametric model.

Abstract: A method for performing geometric dimension and tolerance stack-up analysis for an assembly, the method comprising receiving a target assembly dimension for stack-up analysis, where the assembly includes at least one part. The method further comprises receiving a feature corresponding to the part and receiving feature tolerance data associated with the feature. The feature tolerance data includes at least one of size tolerance and geometric tolerance. Stack-up rules are accessed in response to receiving the feature tolerance data. The stack-up rules include instructions to determine if a form tolerance, an orientation tolerance and a profile tolerance should be included in a stack-up tolerance for the feature. The stack-up rules also include formulas to calculate a nominal dimension and the stack-up tolerance for the feature when the feature tolerance data applies to features of sizes.

Abstract: A method for performing geometric dimension and tolerance stack-up analysis for an assembly, the method comprising receiving a target assembly dimension for stack-up analysis, where the assembly includes at least one part. The method further comprises receiving a feature corresponding to the part and receiving feature tolerance data associated with the feature. The feature tolerance data includes at least one of size tolerance and geometric tolerance. Stack-up rules are accessed in response to receiving the feature tolerance data. The stack-up rules include instructions to determine if a form tolerance, an orientation tolerance and a profile tolerance should be included in a stack-up tolerance for the feature. The stack-up rules also include formulas to calculate a nominal dimension and the stack-up tolerance for the feature when the feature tolerance data applies to features of sizes.

Abstract: A method (28) for manufacturing a precision part (18) utilizing a non-precision fixture (10). The non-precision fixture is precisely measured (40) and modeled in a CAD program (42) together with a model of the part (30). The part model is nested (48) into the fixture model, and a transformation matrix describing the movement of a coordinate system of the part during the step of nesting is recorded (50). The transformation matrix may then be used to transform (52) a tool path that had been developed for the originally designed shape of the fixture. Accordingly, imprecision in the location of a part within an imprecisely measured fixture may be accounted for during subsequent manufacturing operations.

Abstract: A method of nesting a computer model of a part (100) into a computer model of a fixture (104) useful for situations where the original positions of the part and fixture are completely separate and for situations where the respective part and fixture surfaces overlap. The model of the fixture is first inset by a distance D sufficient to eliminate any overlap between the modeled surfaces. The minimum normal distance segment (105) between the inset fixture surface and the part surface may then be determined using standard CAD system capabilities. A vector is then constructed having a length D beginning at the minimum distance point 111 on the inset fixture surface (107) and extending in the direction of the minimum normal distance segment (105) to a point (112) on the original fixture model surface (106). The minimum distance segment between point (112) and the surface of the part (102) is then determined to identify a point (114). The respective point pair (112,114) is recorded.

Abstract: A method of re-engineering a part includes generating a parametric master model for the part from an editable geometry for the part and generating a manufacturing context model from a design master model. The design master model includes the parametric master model, and the manufacturing context model includes a number of tooling features. The method further includes creating a tooling master model from the manufacturing context model. The tooling master model includes a tooling geometry for the part. A system for re-engineering a part includes a part design master model module configured to generate the parametric master model from the editable geometry and a tooling master model module configured to receive the parametric master model, to generate the manufacturing context model from the parametric master model, and to create the tooling master model from the manufacturing context model.

Abstract: A method of creating a tooling master model for a manufacturing process for a part includes generating a manufacturing context model from a parametric model for the part. The tooling master model includes a tooling geometry for the part, and the manufacturing context model includes a number of tooling features. A system for generating the tooling master model includes a computer aided design (CAD) system configured to receive the parametric model and to generate the manufacturing context model from the parametric model.

Abstract: A method for determining an adaptive feedrate for a machine tool used to machine a workpiece initially cut from stock using a stock-cutting program. Initial workpiece geometry is obtained from a geometry modeling program using the stock-cutting NC program as an input. Such automatically-generated initial workpiece geometry is used to derive adjusted (i.e., adaptive) feedrates in accordance with a known method.