A method where deviations of a characteristic of an image simulated by two different process models or deviations of the characteristic simulated by a process model and measured by a metrology tool, are used for various purposes such as to reduce the calibration time, improve the accuracy of the model, and improve the overall manufacturing process.

The invention relates to a method and to system for producing blades (1) of a machine interacting with a fluid, in particular a fluid-driven machine, in particular a wind turbine, comprising an examination device (19) for determining geometric deviations (A, B, C, D, E, F) from a target shape for one or more shaped blades (1), a device (21) for determining a deviation evaluation of one or more determined geometric deviations from the target shape for each blade with respect to the aerodynamic and/or mechanical consequences thereof, a device (23) for assigning one or more corrective measures (100, 101, 102), each including an expenditure evaluation (100, 101, 102), to one or more determined geometric deviations (A, B, C, D, E, F) from the target shape for each blade, and a linking device (24) for linking a deviation evaluation that was determined for one or more of the determined geometric deviations to the expenditure evaluation for one or more determined corrective measures and for determining the corrective measures to be carried out from the result of the linkage.

In some embodiments, methods and systems are provided that include interconnected conveyors including multiple sensors configured to detect identifying characteristics and physical characteristics of the products traveling on the conveyors. The product-associated information that is detected by the sensors is analyzed relative to predefined product-associated identifying characteristics and physical characteristics stored in a database, and an error signal is generated if the actual, sensor-obtained product identifying characteristics and/or physical characteristics, do not correspond to the predefined, database-stored product identifying characteristics and/or physical characteristics.

In some embodiments, methods and systems are provided that include interconnected conveyors including multiple sensors configured to detect identifying characteristics and physical characteristics of the products traveling on the conveyors. The product-associated information that is detected by the sensors is analyzed relative to predefined product-associated identifying characteristics and physical characteristics stored in a database, and an error signal is generated if the actual, sensor-obtained product identifying characteristics and/or physical characteristics, do not correspond to the predefined, database-stored product identifying characteristics and/or physical characteristics.

Methods and apparatuses to fabricate additive manufactured parts with in-process monitoring are described. As parts are formed layer-by-layer, a 3D measurement of each layer or layer group may be acquired. The acquisition of dimensional data may be performed at least partially in parallel with the formation of layers. The dimensional data may be accumulated until the part is fully formed, resulting in a part that was completely inspected as it was built. The as-built measurement data may be compared to the input geometrical description of the desired part shape. Where the part fails to meet tolerance, it may be amended during the build process or rejected.

This invention concerns apparatus for generating instructions for machines of a manufacturing chain used to manufacture a workpiece. The apparatus comprising a processor arranged to receive a model based definition (MBD) of a workpiece including geometric dimensions and tolerances; receive inputs setting an additive build design for building the workpiece based upon the geometric dimensions; generate additive instructions for an additive manufacturing machine of the manufacturing chain based upon the additive build design; determine a prospective intermediate workpiece product expected from an additive build in accordance with the additive build design; determine differences between the prospective intermediate workpiece product and the model based definition of the workpiece; and generate further instructions for at least one further machine of the manufacturing chain based upon the differences.

In some embodiments, methods and systems are provided that include interconnected conveyors including multiple sensors configured to detect identifying characteristics and physical characteristics of the products traveling on the conveyors. The product-associated information that is detected by the sensors is analyzed relative to predefined product-associated identifying characteristics and physical characteristics stored in a database, and an error signal is generated if the actual, sensor-obtained product identifying characteristics and/or physical characteristics, do not correspond to the predefined, database-stored product identifying characteristics and/or physical characteristics.

A Self-monitoring manufacturing system adapted to produce at least one object. The system includes at least a first processing facility adapted to perform a respective first processing step with the object, and a production control unit, wherein the production data comprises nominal pre-processing object data. A production monitoring unit for checking a pre-processing object state of the object is arranged, such unit being adapted to obtain actual property data of the object in-line of the production in-advance of applying the first processing step, to generate deviation data by comparing the actual property data with the production data for the first processing step, and to provide the deviation data for performing the first production step with the first processing facility in deviation-adjusted manner.

Described is determining defects of an object produced using an additive manufacturing process, including: determining spatially resolved first data relating to n objects, the first data defines a process coordinate system for each of the n objects, determining measurement data relating to the n objects by imaging the n objects, the measurement data defines, for each of the n objects, an object representation in a measurement coordinate system, determining which coordinates of at least one section of the measurement coordinate system are defect coordinates assigned to a defect in the object representation; correlating the at least one section with a corresponding section of the process coordinate system in order to collect training data, training an adaptive algorithm for determining defect coordinates in spatially resolved data, by means of the training data, determining spatially resolved second data, and analysing the second data for defects by means of the adaptive algorithm.

A testing method of a human-computer combination quality testing system includes steps of: after manufacture, importing relevant CAD models, submitting the CAD models to a digital testing part for being examined; if a product is determined to be unqualified, returning the product for retreatment; if the product is determined to be qualified, submitting the product to a manual testing part for being examined by relevant inspectors; if the product is determined to be qualified by the inspectors, leaving the product as a qualified product; if the product is determined to be unqualified by the inspectors, returning the product for retreatment; then changing the relevant rule with a rule corrector of a system improving part according to a misjudging condition of the digital testing part; describing a corrected rule, which is corrected by the developer, by a rule descriptor; then applying the corrected rule to a system by a rule parser.