A system for fabricating a dental restoration to restore a tooth at a restoration site in a dentition of a patient is disclosed. The dentition includes a restoration dental arch and an opposing dental arch. The restoration dental arch include the restoration site and the opposing dental arch is opposite the restoration dental arch. The system includes an impression apparatus, a motion capture apparatus, an interface apparatus, and a restoration design system. The impression apparatus is configured to capture an impression of the dentition of the patient. The motion capture apparatus is configured to capture a plurality of location data points that represent the locations of the opposing dental arch relative to the restoration dental arch. The interference model generation system is configured to generate an interference model for the restoration site. The restoration design system is for designing a restoration using the interference model.

A computing system may include an access engine and a toolpath reordering engine. The access engine may be configured to access an original layer toolpath for slice of a 3D CAD object as well as a heat criticality measure for the original layer toolpath. The heat criticality measure may specify a heat impact for different points on the multiple toolpath segments of the original layer toolpath for the 3D printing of the physical part using the original layer toolpath. The toolpath reordering engine may be configured to reorder the multiple toolpath segments into a modified layer toolpath, and the modified layer toolpath may have a heat criticality measure with a lesser heat impact on the physical part than the heat criticality measure for the original layer toolpath.

There are provided methods and systems for making or repairing a specified part. For example, there is provided a method for creating a manufacturing process to make or repair the specified part. The method includes receiving data from a plurality of sources, the data including as-designed, as-manufactured, as-simulated, as-operated, as-inspected, and as-tested data relative to one or more parts similar to the specified part. The method includes updating, in real time, a surrogate model corresponding with a physics-based model of the specified part, wherein the surrogate model forms a digital twin of the specified part. The method includes generating a multi-variant distribution including component performance and manufacturing variance, the manufacturing variance being associated with at least one of an additive manufacturing process step and a reductive manufacturing process step. The method includes comparing a performance from the multi-variant distribution with an expected performance of the new part based on the surrogate model. The method includes executing, based on the digital twin, the optimized process to either repair or make the specified part.

A method of improving production performance of an additive manufacturing system includes obtaining a first production plan and a second production plan, different from the first production plan, for the manufacture of a plurality of objects using a fleet of additive manufacturing apparatus, automatically generating a first allocation of a first quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the first production plan, automatically generating a second allocation of a second quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the second production plan, comparing a production performance of the first and second quantity of the plurality of objects after being manufactured by the fleet of additive manufacturing apparatus, and based on the comparison of the production performance, automatically regenerating the first and second allocations to change the first and second quantities.

Methods and apparatus for two-dimensional and three-dimensional scanning path visualization are disclosed. An example apparatus includes a parameter determiner to determine at least one of a laser beam parameter setting or an electron beam parameter setting, a melt pool geometry determiner to identify melt pool dimensions using the parameter setting, the melt pool geometry determiner to vary the parameter setting to obtain multiple melt pool dimensions, and a visualization path generator to generate a three-dimensional view of a scanning path for an additive manufacturing process using the identified melt pool dimensions. The visualization path generator adjusts the laser beam parameters based on the generated three-dimensional view.

A method for additive manufacturing includes identifying a discrepancy between a three-dimensional model and an object model. The three-dimensional model is a model of a three-dimensional object that is being constructed by an additive manufacturing process, and the three-dimensional object is being constructed based on the object model. The method further includes determining a reconfiguration recommendation based on the identified discrepancy. The method further includes reconfiguring the additive manufacturing process based on the reconfiguration recommendation.

A display guided robotic navigation and control system comprises a display system including a display surface and a display device configured to display an image including a visual pattern onto the display surface, a robotic system including a mobile robotic device and an optical sensor attached to the mobile robotic device, and a computing system communicatively connected to the display system and the robotic system. Related methods are also disclosed.

Methods and apparatus for two-dimensional and three-dimensional scanning path visualization are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to identify at least one melt pool dimension using a beam parameter setting, the at least one melt pool dimension identified from a plurality of melt pool dimensions obtained by varying the beam parameter setting, identify a response surface model based on the plurality of melt pool dimensions to determine an effect of variation in the beam parameter setting on the at least one melt pool dimension, output a three-dimensional model of a scanning path for an additive manufacturing process using the response surface model, and adjust the beam parameter setting based on the three-dimensional model to identify a second beam parameter setting.

The present invention relates to a method for generating a tool path (20; 82) for an application tool (12) for additive manufacturing, in particular for additive manufacturing using buildup welding, of a substantially rotationally symmetric workpiece (28; 328), comprising the following steps: a) providing cross-sectional contour data describing at least a portion of a cross-sectional contour (42; 342; 442; 542) of the workpiece (28; 328); b) providing axis data describing a rotation axis (R) of the rotationally symmetric workpiece (28; 328); c) generating a continuous cross-sectional path (54; 354; 355; 454; 554), taking into account the cross-sectional contour data, the cross-sectional path (54; 354; 355; 454; 554) being inscribed in the portion of the cross-sectional contour (42; 342; 442; 542); d) generating the tool path (20; 82) with a helical or/and spiral course revolving around the rotation axis (R), wherein the tool path (20; 82) intersects the cross-sectional path (54; 354; 355; 454; 554), preferably with each revolution around the rotation axis (R).

There are provided methods and systems for making or repairing a specified part. For example, there is provided a method for creating an optimized manufacturing process to make or repair the specified part. The method includes receiving data from a plurality of sources, the data including as-designed, as-manufactured, as-simulated, and as-tested data relative to one or more parts similar to the specified part. The method includes updating, in real time, a surrogate model corresponding with a physics-based model of the specified part, wherein the surrogate model forms a digital twin of the specified part. The method includes further updating the surrogate model with a model of manufactured variance associated with at least one of inspection and in-operation data of a similar part. The method includes executing, based on the digital twin, the optimized manufacturing process to either repair or make the specified part.