Materialise N.v.

Tom Craeghs

Tom Cluckers

Piet Van Den Ecker

Sam Coeck

Gerald Eggers

Michel Janssens

Jan Van Espen

Michele Pavan

Sven Cornelissen

Tristan Kuypers

Systems and methods for generating an energy density map of an object to be built in an additive manufacturing environment are provided. Certain embodiments provide a method for building an object utilizing additive manufacturing, the method including: receiving a job file for building the object, wherein the job file includes a plurality of slices of the object, and wherein a first slice of the object indicates scanning lines for applying an energy source to build material to build the first slice of the object; determining operation parameters of the energy source; and generating a first energy density map of the first slice of the object based on the job file and the operation parameters of the energy source, wherein the first energy density map indicates an amount of energy from the energy source per area of build material applied to the build material for the first slice of the object.

Energy density mapping in additive manufacturing environments

A system () and method for monitoring a recoating mechanism (A,B) in an additive manufacturing environment is provided. Various embodiments involve the use of a control computer (-) to receive data based on a thermal image of a recoating mechanism (A,B) from an imaging device () configured to capture thermal image. The control computer (-) further determines a value of a property of the thermal image, wherein the property is related to an amount of powder in the recoating mechanism. The control computer (-) further determines at least one of if the value indicates an error related to the amount of powder in the recoating mechanism (A,B), and an action to take with respect to the recoating mechanism (A,B) that is based on the value.

System and method for monitoring and recoating in an additive manufacturing environment

The present disclosure relates to the prediction of part and material quality of Additive Manufacturing (AM) processes using layer based images. Described herein are methods and systems for detection of errors in parts built by AM processes such as Selective Laser Melting (SLM). The detection comprises analysis of optical images to identify errors which appear in layers during the AM build process. Errors include but are not limited to warpage of parts and dross formation of overhang surfaces.

Error detection in additive manufacturing processes

This disclosure relates to a hybrid support system for supporting an object formed by three dimensional printing. In some embodiments, a hybrid support system includes one or more volume support structures, a first volume support structure of the one or more volume support structures being coupled to a base plate and to a first portion of the object. The hybrid support system further includes a partially solidified support structure coupled to a second portion of the object. The hybrid support system further includes one or more reinforcement support structures, a first reinforcement support structure of the one or more reinforcement support structures being coupled to the base plate and to at least one of a portion of the partially solidified support structure and a third portion of the object.

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Leuven, Belgium

Tom Craeghs