A method for controlling a process of manufacturing an item includes making available an electronic control device (ECD) operatively associated with a processing apparatus and a central processing unit (CPU) connected to the ECD by a telecommunications network, transmitting, by the CPU, an encrypted message representative of a digital model of the item to be manufactured to the ECD, decrypting, by the ECD, the encrypted message to store the clear text digital model of the item, sending, by the ECD, an item processing start message with the digital model of the item to the processing apparatus, sending a message indicative of a status of advancement of processing of the item to the CPU, and, following reception of an item processing end message, sending to the ECD a message for deleting the clear text digital model of the item stored in the ECD.

A recoater collision prediction and calibration method for additive manufacturing and a system thereof are provided. The recoater collision prediction and calibration method includes the following steps: loading a printing image file to generate a simulated printing object according to the printing image file; performing a process thermal stress simulation on the simulated printing object to obtain a plurality of simulated deformation variables respectively corresponding to a plurality of prediction results of the simulated printing object in a vertical direction on each layer; obtaining an experimental collision height of an experimental printed object; selecting one of the plurality of simulated deformation variables according to the experimental collision height; calculating a recoater tolerance according to the one of the plurality of simulated deformation variables; calibrating a collision risk formula according to the recoater tolerance; and predicting a collision risk value between the simulated printing object and a recoater according to the collision risk formula.

A recoater collision prediction and calibration method for additive manufacturing and a system thereof are provided. The recoater collision prediction and calibration method includes the following steps: loading a printing image file to generate a simulated printing object according to the printing image file; performing a process thermal stress simulation on the simulated printing object to obtain a plurality of simulated deformation variables respectively corresponding to a plurality of prediction results of the simulated printing object in a vertical direction on each layer; obtaining an experimental collision height of an experimental printed object; selecting one of the plurality of simulated deformation variables according to the experimental collision height; calculating a recoater tolerance according to the one of the plurality of simulated deformation variables; calibrating a collision risk formula according to the recoater tolerance; and predicting a collision risk value between the simulated printing object and a recoater according to the collision risk formula.

A three-dimensional printing system includes a print engine, a storage subsystem, and a controller. The print engine includes a resin vessel having a lower side with a transparent sheet, a light engine that defines a build field above the transparent sheet, and a motorized carriage for holding a support tray with a lower surface above the resin vessel. The storage subsystem is configured to store support trays. The controller is configured to: receive a build order including a plurality of incoming files individually defining a three-dimensional article to be fabricated, process and determine breakage-related risk factors for the processed files, define a build plan for at least some of the plurality of processed files based at least partly upon the determined risk factors, and operate the print engine and the storage subsystem to build and store three-dimensional articles according to the defined build plan.

A method, medium, and system to automatically determine parameter sets for an additive manufacturing (AM) of a part, the method including executing a load analysis on a model of a part to emulate a load on each of a plurality of regions of the part; determining a representation of the model of the part as a plurality of discrete three-dimensional (3D) volume elements; determining, based on an output of the load analysis, a life or material property value to assign to each of the plurality of 3D volume elements; automatically determining an assignment of one of a plurality of additive manufacturing (AM) print parameter sets to each of the plurality of 3D volume elements; and saving a record of the determined assignments of the AM print parameter sets to each of the plurality of 3D volume elements.

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.

Provided is a machining method for improving machining quality for a machining target by minimizing vibrations occurring during machining of each machining region, deformation of a shape of the machining region, and a position error of the machining region by selecting a machining path in consideration of the number of fixing jigs and a distance between jigs at each machining region. A method for machining a carbon fiber reinforced plastic (CFRP) using a machining path and a machining order in view of a jig arrangement includes i) an operation in which shape data of a machining target is input to a controller ii) an operation in which a position of each of a plurality of flexible jigs is controlled, iii) an operation in which when the machining target is seated on the flexible jig, position information of the machining target in contact with each of the flexible jigs is generated and transferred to the controller, iv) an operation in which the controller generates a machining path according to a start machining region and a machining order for the machining target by comparing the input position of the flexible jig with position and shape data of the machining target, and v) performing machining, by a tool, on the machining target.

A 3D printing method and a device for performing same are disclosed. In some examples, a 3D printing output method according to may include generating raw material data for at least one raw material to be used for printing a 3D object on the basis of a raw material characteristic requirement; designing the 3D object. The 3D printing method and a device may include performing a simulation on the 3D object designed on the basis of the raw material data and generating the 3D printing data for performing 3D printing on the 3D object on the basis of an evaluation criterion and the result of the simulation.

The present invention relates to a system for fabricating an interior design product by using a 3D printer, and a method thereof, the system and method being capable of enabling a user to select a design when the user access the interior design server and selects a specific interior design product, and delivering the interior design product 5 of the selected design by fabricating the same by using a 3D printer.

In an example, a method includes receiving, at least one processor, object model data representing at least a portion of an object that is to be generated by an additive manufacturing apparatus by fusing build material within a fabrication chamber, wherein the object model data comprises a mesh model comprising data describing a surface of the object. A geometrical compensation vector may be determined for the object model data, the geometrical compensation vector having a first component applying to a first axis of the fabrication chamber and a second component applying to a second axis of the fabrication chamber. A geometrical compensation to apply to at least one location on the surface of the object may be determined by determining a product of the geometrical compensation vector and a vector indicative of the normal of the object surface at the location and the determined geometrical compensation may be applied to the object model data to generate modified object model data.