A system for forming a three-dimensional (3D) article includes a powder dispenser, a fusing apparatus, and a controller. The plurality of energy beams include at least a first beam and a second beam. The controller is configured to operate the powder dispenser to dispense a layer of powder and to operate the fusing apparatus to selectively fuse the layer of powder. Operating the fusing apparatus includes operating the first beam to fuse a first hatch pattern over a first area of the layer of powder and operate at least the second beam to fuse a contour that bounds the hatch pattern. The contour is formed from N scans along the contour. N is an integer that is at least equal to one. N is determined by a lateral alignment uncertainty between at least two of the energy beams.

A system for additive manufacturing machine energy beam alignment error compensation includes, a calibration table having x-y planar offsets to correct laser alignment errors representing energy beam positional offsets between beam-steering commanded energy beam locations and fiducial marks generated on a burn-paper, a recoater mechanism that distributes successive layers of powder, one or more sensors monitoring the powderbed surface proximal to the beam scan unit, and a processor unit configured to perform a method. The method including collecting sensor data representing height variations across at least a portion of the powderbed surface, deriving dimensional data from the collected data, analyzing the dimensional data to determine a distribution of differences between the powderbed surface and a reference plane containing the burn-paper when the fiducial marks were generated, and calculating z-axis calibration offset points for inclusion in the calibration table x-y planar offsets. A method and a non-transitory medium are also disclosed.

A system for additive manufacturing machine energy beam alignment error compensation includes, a calibration table having x-y planar offsets to correct laser alignment errors representing energy beam positional offsets between beam-steering commanded energy beam locations and fiducial marks generated on a burn-paper, a recoater mechanism that distributes successive layers of powder, one or more sensors monitoring the powderbed surface proximal to the beam scan unit, and a processor unit configured to perform a method. The method including collecting sensor data representing height variations across at least a portion of the powderbed surface, deriving dimensional data from the collected data, analyzing the dimensional data to determine a distribution of differences between the powderbed surface and a reference plane containing the burn-paper when the fiducial marks were generated, and calculating z-axis calibration offset points for inclusion in the calibration table x-y planar offsets. A method and a non-transitory medium are also disclosed.

A part including a porous structure including cellular pores and formed at least in part by the periodic repetition of a basic pattern, each cellular pore being delimited by a wall, made of a metal or a polymer, having a parietal porosity greater than 5% and including parietal pores with a mean size less than the mean size of the cellular pores.

An additive manufacturing machine includes a laser light source, a beam entry window, a recoater, a plurality of light sources attached to the recoater, a photosensor, and a controller. The laser light source emits laser light to selectively melt one or more portions of a working layer of a powder bed during additive manufacturing of a part. The beam entry window is positioned between the powder bed and the laser light source. The recoater moves across the powder bed to spread the working layer. The photo sensor senses intensity of light emitted by each of the plurality of light sources through the beam entry window. The controller correlates sensed intensity of the light emitted by each of the plurality of light sources through the beam entry window to corresponding positions on the beam entry window based on locations of each of the plurality of light sources.

An additive manufacturing machine includes a laser light source, a beam entry window, a recoater, a plurality of light sources attached to the recoater, a photosensor, and a controller. The laser light source emits laser light to selectively melt one or more portions of a working layer of a powder bed during additive manufacturing of a part. The beam entry window is positioned between the powder bed and the laser light source. The recoater moves across the powder bed to spread the working layer. The photo sensor senses intensity of light emitted by each of the plurality of light sources through the beam entry window. The controller correlates sensed intensity of the light emitted by each of the plurality of light sources through the beam entry window to corresponding positions on the beam entry window based on locations of each of the plurality of light sources.

Provided are a systems and methods for continuously providing a metal wire to a welding torch in the correct orientation with respect to the heat source of the welding torch for manufacturing objects by solid freeform fabrication to provide continuous deposition of metal to the freeform object, especially objects made with titanium or titanium alloy, or nickel or nickel alloy, wire.

A method of determining optimal values of one or more process parameters for printing a part comprises obtaining a plurality of sets of test values for the one or more process parameters. An additive manufacturing system is caused to at least partially generate a plurality of test samples according to a design and the plurality of sets of test values. During or after generation of the plurality of test samples, test data indicative of respective measurements of at least one property of the test samples are obtained. The test data are fitted to a second-order function of the one or more process parameters to determine coefficients of the one or more process parameters. Based on the second-order function and the coefficients, optimal values are determined for the one or more process parameters that result in a global optimum for the at least one property.

A method of determining optimal values of one or more process parameters for printing a part comprises obtaining a plurality of sets of test values for the one or more process parameters. An additive manufacturing system is caused to at least partially generate a plurality of test samples according to a design and the plurality of sets of test values. During or after generation of the plurality of test samples, test data indicative of respective measurements of at least one property of the test samples are obtained. The test data are fitted to a second-order function of the one or more process parameters to determine coefficients of the one or more process parameters. Based on the second-order function and the coefficients, optimal values are determined for the one or more process parameters that result in a global optimum for the at least one property.

A method of determining optimal values of one or more process parameters for printing a part comprises obtaining a plurality of sets of test values for the one or more process parameters. An additive manufacturing system is caused to at least partially generate a plurality of test samples according to a design and the plurality of sets of test values. During or after generation of the plurality of test samples, test data indicative of respective measurements of at least one property of the test samples are obtained. The test data are fitted to a second-order function of the one or more process parameters to determine coefficients of the one or more process parameters. Based on the second-order function and the coefficients, optimal values are determined for the one or more process parameters that result in a global optimum for the at least one property.