A device is provided, for analyzing sensor data of a sensor arranged in an apparatus for producing a three-dimensional work piece via irradiation of layers of raw material with an energy beam. Further, a corresponding method and a corresponding computer program product are provided.

An additive manufacturing (AM) method includes using an AM tool to fabricate a plurality of workpiece products; measuring qualities of the first workpiece products respectively; performing a temperature measurement on each of the melt pools on the powder bed during a fabrication of each of the workpiece products; performing photography on each of the melt pools on the powder bed during the fabrication of each of the workpiece products; extracting a length and a width of each of the melt pools; performing a melt-pool feature processing operation; building a conjecture model by using a plurality of sets of first process data and the actual metrology values of the first workpiece products in accordance with a prediction algorithm; and predicting a virtual metrology value of the second workpiece product by using the conjecture model based on a set of second process data.

An additive manufacturing (AM) method includes using an AM tool to fabricate a plurality of workpiece products; measuring qualities of the first workpiece products respectively; performing a temperature measurement on each of the melt pools on the powder bed during a fabrication of each of the workpiece products; performing photography on each of the melt pools on the powder bed during the fabrication of each of the workpiece products; extracting a length and a width of each of the melt pools; performing a melt-pool feature processing operation; building a conjecture model by using a plurality of sets of first process data and the actual metrology values of the first workpiece products in accordance with a prediction algorithm; and predicting a virtual metrology value of the second workpiece product by using the conjecture model based on a set of second process data.

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.

A high resolution system for additive manufacturing, soldering, welding and other laser processing applications. A blue laser system for additive manufacturing, soldering, welding and other laser processing applications and operation for additive manufacturing of materials.

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 system and a corresponding method of correcting temperature data from a non-imaging optical sensor involve collecting temperature data generated using the optical sensor. The temperature data describes temperature changes across a surface of a material during an additive manufacturing operation in which the material is heated by a heat source. The method includes estimating a size of a hot spot corresponding to a hottest region formed on the surface by the heat source; and estimating a size of a heated region corresponding to a locus of points within the field of view that contribute to the temperature data. The method further includes correcting the temperature data based on the estimated sizes of the hot spot and the heated region.

In an example, a method includes measuring a temperature of a plurality of regions of a layer of build material in an additive manufacturing apparatus to provide initial temperature values. For each of a plurality of regions which comprise build material which is intended to fuse, an average temperature value of a plurality of neighbouring regions may be determined and the initial temperature values may be replaced with the average temperature value. Based on the replacement temperature values, a representative temperature of an area of the layer of build material may be determined and a heat source may be controlled based on the representative temperature.

In an example, a method includes measuring a temperature of a plurality of regions of a layer of build material in an additive manufacturing apparatus to provide initial temperature values. For each of a plurality of regions which comprise build material which is intended to fuse, an average temperature value of a plurality of neighbouring regions may be determined and the initial temperature values may be replaced with the average temperature value. Based on the replacement temperature values, a representative temperature of an area of the layer of build material may be determined and a heat source may be controlled based on the representative temperature.

The present disclosure provides three-dimensional (3D) printing methods, apparatuses, systems and software that effectuate formation of a robust 3D object comprising at least one metal alloy. The 3D object may be formed by 3D printing. The 3D object may comprise diminished defects (e.g., heat cracks). The alloy may be formed by diffusion. The diffusion may be a controlled diffusion. The control may comprise (e.g., real time) temperature control during the formation of the 3D object. The 3D object may comprise controlled crystal structure and/or metallurgical phases.