G05B2219/49013

FOAMABLE THERMOPLASTIC COMPOSITIONS FOR 3D PRINTING
20230321901 · 2023-10-12 ·

A method for 3D printing a patient-specific bone implant having variable density, in various aspects, comprises: (1) providing a thermoplastic polymer composition comprising: (A) between about 20% and about 50% bioactive agent by weight; (B) between about 0.5% and about 10% chemical foaming agent by weight; and (C) balance structural polymer by weight; (2) receiving, by computing hardware, a scan of a bone, the scan comprising at least a 3D image of the bone and radiodensity data for the bone; and (3) causing, by the computing hardware, a 3D printer to form the patient-specific bone implant from the 3D image using the thermoplastic polymer by modifying a 3D printing temperature of the 3D printer during printing of the patient-specific bone implant such that each portion of the patient-specific bone implant is produced at a temperature that corresponds to a desired density defined by the radiodensity data for the bone.

VARIABLE LOOP CONTROL FEATURE

A method includes identifying a recipe for depositing layers on a substrate in a processing chamber of a substrate processing system. The recipe comprises iterations of a set of one or more processes, and wherein each iteration of the iterations is for depositing at least one layer of the layers. The method further includes determining changes to parameters for depositing the at least one layer on the substrate. Each of the changes corresponds to a respective iteration of the iterations and is associated with a relative position of a corresponding layer. The layers are to be deposited on one or more substrates based on the recipe and the changes.

Method for regulating temperature at a resin interface in an additive manufacturing process

A method for additive manufacturing includes: at a build tray arranged over a build window and containing a resin reservoir of a resin, heating the resin reservoir toward a target bulk resin temperature less than a heat deflection temperature of the resin in a photocured state; at a resin interface between a surface of the build window and the resin reservoir, heating an interface layer of the resin reservoir toward a target reaction temperature; and, in response to the resin reservoir exhibiting a first temperature proximal the target bulk resin temperature and to the interface layer exhibiting a second temperature proximal the target reaction temperature: at the resin interface, selectively photocuring a first volume of the resin to form a first layer of a build adhered to a build platform; and retracting the build platform away from the build window.

3D PRINTING AND MEASUREMENT APPARATUS AND METHOD

A method of 3D printing an object includes receiving design information corresponding to an object for which a printed object is to be generated by a 3D printing operation according to a first set of print instructions, generating a plurality of measurement locations, printing successive layers which form the object, measuring the object at the measurement locations to form measurement data, comparing the measurement data with expected measurements of the measurement locations based on the design information, and generating, based on the comparing, deviation information. The measurement locations represent locations of the object to be measured by a measurement device. The deviation information represents deviations between the printed object following completion of the printing, and the object represented by the design information.

PREEMPTIVE APPARATUS FAILURE DETECTION IN ADDITIVE MANUFACTURING

Systems, methods, and devices may be configured to detect and remediate component failures in three-dimensional object printers (10, 10a-f) preemptively. For example, systems may include: (a) a plurality of printers (10, 10a-f) each configured to produce three-dimensional objects (13), each printer including: (i) a plurality of subsystems; and (ii) at least one sensor; and (b) processor(s) (41, 42) and memory resource(s) (21) storing an inventory of available replacement components for at least some of said subsystems. The one or more memory resources may (21) store instructions that may cause the one or more processors to: (i) identify a predetermined pattern in data sensed during a process of producing a three-dimensional object by a sensor of a printer as an indicator of likely failure of a subsystem or component thereof; and (ii) assign a component in inventory to said printer based on a unique identifier of the printer and the indicator of likely failure identified in the signal.

Variable loop control feature

A method includes identifying a recipe for depositing a plurality of layers on a substrate in a processing chamber of a substrate processing system. The recipe includes iterations of a set of processes. Each iteration is for depositing at least one layer. The method further includes determining iteration adjustments to cause uniformity of the layers. Each iteration adjustment corresponds to a respective iteration. The method further includes determining multipliers to cause an adjustment in thickness of one or more layers of the layers. Each multiplier of the multipliers corresponds to a corresponding iteration. The method further includes storing the iteration adjustments and the multipliers as stored iteration adjustments and stored multipliers. The layers are deposited on substrates based on the recipe and the stored iteration adjustments and the stored multipliers.

3D printing and measurement apparatus and method

A method of 3D printing an object includes receiving design information corresponding to an object for which a printed object is to be generated by a 3D printing operation according to a first set of print instructions, generating a plurality of measurement locations, printing successive layers which form the object, measuring the object at the measurement locations to form measurement data, comparing the measurement data with expected measurements of the measurement locations based on the design information, and generating, based on the comparing, deviation information. The measurement locations represent locations of the object to be measured by a measurement device. The deviation information represents deviations between the printed object following completion of the printing, and the object represented by the design information.

Mass-Controlled Viscous Material Deposition System, Apparatus and Method
20220274263 · 2022-09-01 ·

A system and/or method comprising providing a robotic control structure having a support structure, said support structure being adapted and configured to be selectively positionable along a prescribed path by said robotic control structure; providing a viscous material deposition system adapted and configured to control deposition of a viscous material from said viscous material deposition system; providing a load sensor associated with said robotic control structure adapted and configured to determine a load of said viscous material supported by said support structure; and positioning said support structure along said prescribed path, wherein said positioning is controlled at least in part based upon said load.

Numerical control device and method for controlling additive manufacturing apparatus

An NC device, which is a numerical control device, includes: a program analyzing unit that analyzes a machining program to obtain a movement path along which to move a supply position of a material on a workpiece; a storage temperature extracting unit that extracts, from data on surface temperature of the workpiece, storage temperature in an area including the movement path on the workpiece; a layering volume calculating unit that calculates a volume of a layer forming an object on the basis of a relation between the storage temperature and a volume of the material that solidifies at the storage temperature in a given time; and a layering shape changing unit that changes a shape of the layer on the basis of the volume of the layer.

METHOD FOR DECISION MAKING IN A SEMICONDUCTOR MANUFACTURING PROCESS

A method for categorizing a substrate subject to a semiconductor manufacturing process including multiple operations, the method including: obtaining values of functional indicators derived from data generated during one or more of the multiple operations on the substrate, the functional indicators characterizing at least one operation; applying a decision model including one or more threshold values to the values of the functional indicators to obtain one or more categorical indicators; and assigning a category to the substrate based on the one or more categorical indicators.