Techniques for evaluating support for an object to be fabricated via an additive fabrication device are provided. In some embodiments, a three-dimensional representation of the object is obtained and a plurality of voxels corresponding to the representation of the object is generated. A first supportedness value may be assigned to a first voxel of the plurality of voxels based on an amount of support provided by a support structure to the first voxel, and a second supportedness value determined for a second voxel of the plurality of voxels, wherein the second voxel neighbors the first voxel, and wherein the second supportedness value is determined based on the first supportedness value of the first voxel and a weight value representing a transmission rate of supportedness through voxels of the plurality of voxels.

A method of treating the surface of a 3D object, comprising obtaining a digital 3D shape representation defining characteristics of the object; using a computerised device to convert the 3D shape representation into a digital 2D shape representation defining the 3D surface of the object as it if laid out flat; using the computerised device to generate a digital 2D tool path representation defining movements an applicator or removal tool would take to treat the surface of the shape defined by the 2D shape representation; using the computerised device to convert the 2D tool path representation to a digital 3D tool path representation defining movements that the applicator or removal tool will take to deposit material on, or remove it from, the surface to treat the 3D object; and using the 3D tool path representation to control the applicator tool or removal tool to treat the 3D object.

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.

Techniques for evaluating support for an object to be fabricated via an additive fabrication device are provided. In some embodiments, a three-dimensional representation of the object is obtained and a plurality of voxels corresponding to the representation of the object is generated. A first supportedness value may be assigned to a first voxel of the plurality of voxels based on an amount of support provided by a support structure to the first voxel, and a second supportedness value determined for a second voxel of the plurality of voxels, wherein the second voxel neighbors the first voxel, and wherein the second supportedness value is determined based on the first supportedness value of the first voxel and a weight value representing a transmission rate of supportedness through voxels of the plurality of voxels.

Aspects of methods, apparatuses, and computer-readable media for performing multi-material selection optimization (MMSO) to provide topologically and geometrically optimized multi-component structures (MCSs) across a plurality of design inputs and constraints are proposed. In some embodiments, a 3-D print model of an object based on load case criteria is obtained. A portion of the 3-D print model is determined that can be replaced with a commercial-off-the-shelf (COTS) part model such that the load case criteria remain satisfied. The portion or the 3-D print model can then be replaced with the COTS part model to determine the MCS model. In various embodiments, a mesh representation of the model can be generated, and plurality of optimization techniques can be used to determine the MCS model.

A method for computer numerically controlled processing may include receiving configurations for a fabrication in which a computer numerically controlled machine processes a material to achieve one or more designs. An analysis may be performed to determine whether a thermal event occurs during the fabrication. The analysis may include performing one or more of a time-variant simulation and a time-invariant simulation of the fabrication. The thermal event may include one or more regions of the material exhibiting an undesirable response to the electromagnetic energy delivered to the material. One or more outputs may be generated based on the result of the thermal verification. The outputs may include a visualization of the quantity of energy exposure across the material, an alert if a thermal event is determined to occur during the fabrication, and corrective actions for resolving potential thermal events.

A system for additive metal manufacturing, including a deposition mechanism, a translation mechanism mounting the deposition mechanism to the working volume, and a stage. A method for additive metal manufacturing including: selectively depositing a material carrier within the working volume; removing an additive from the material carrier; and treating the resultant material.

A system for additive metal manufacturing, including a deposition mechanism, a translation mechanism mounting the deposition mechanism to the working volume, and a stage. A method for additive metal manufacturing including: selectively depositing a material carrier within the working volume; removing an additive from the material carrier; and treating the resultant material.

Techniques for evaluating support for an object to be fabricated via an additive fabrication device are provided. In some embodiments, a three-dimensional representation of the object is obtained and a plurality of voxels corresponding to the representation of the object is generated. A first supportedness value may be assigned to a first voxel of the plurality of voxels based on an amount of support provided by a support structure to the first voxel, and a second supportedness value determined for a second voxel of the plurality of voxels, wherein the second voxel neighbors the first voxel, and wherein the second supportedness value is determined based on the first supportedness value of the first voxel and a weight value representing a transmission rate of supportedness through voxels of the plurality of voxels.

A method of optimizing an additive manufacturing (AM) process includes receiving at least one design parameter of the AM process, receiving information relating to uncertainty in at least one other parameter of the AM process, performing uncertainty quantification in the optimization processor based on the at least one design parameters and uncertainty information to identify a shape error in an object being produced, updating the at least one design parameter of the AM process and utilizing the updated at least one design parameter in the AM process. A system for optimizing an AM process includes a design processor to produce at least one design parameter for an object to be manufactured, and an optimization processor to receive the at least one design parameter and uncertainty information to identify a shape error in the object to be manufactured and update the design parameters based on the shape error, prior or during the manufacturing process.