Abstract

The present invention relates to a device and a method for defect recognition in additive manufacture and relates in particular to defect recognition during the process of additive manufacture. A method for recognising manufacturing faults during the additive manufacture of a manufacturing object, said method comprising the steps of: providing a camera system on or in a construction space of an additive manufacturing device; determining a camera system path of the camera system during the manufacture of the manufacturing object; manufacturing the manufacturing object in a plurality of manufacturing steps, whereby during the manufacture the camera system travels along the camera system path and at predetermined positions records and stores image recordings of the manufacturing object; determining an image depth map for at least one sequence of at least two image recordings; determining a total depth map from all image depth maps for a manufacturing step; and determining a 3-dimensional design of the manufacturing object from the total depth map.

IPC Classes  ?

• B22F 10/28 - Powder bed fusion, e.g. selective laser melting [SLM] or electron beam melting [EBM]
• B22F 10/38 - Process control to achieve specific product aspects, e.g. surface smoothness, density, porosity or hollow structures
• B22F 12/90 - Means for process control, e.g. cameras or sensors
• G06N 20/00 - Machine learning
• G06T 1/00 - General purpose image data processing
• G06T 3/00 - Geometric image transformation in the plane of the image
• G06T 7/00 - Image analysis
• B33Y 10/00 - Processes of additive manufacturing
• B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes

Abstract

The invention relates to a method for preventing manufacturing defects during additive manufacturing of a manufactured object. Said method comprises the following steps: Providing a detection system in the additive manufacturing device for detecting at least one property of the manufacturing object, manufacturing the manufacturing object in a plurality of manufacturing steps, wherein during manufacturing the detection system determines the at least one property of the manufacturing object, comparing the at least one property to a desired state of the property, determining deviations between the at least one property and the desired state of the property, evaluating the deviation determined in the deviation determining step, if deviations are determined, determining an adjustment of at least one process parameter based on the deviation determined in the deviation determining step for reducing the deviation in the further manufacturing process, applying the adjustment of the at least one process parameter determined in the adjustment determining step.

IPC Classes  ?

• B22F 10/38 - Process control to achieve specific product aspects, e.g. surface smoothness, density, porosity or hollow structures
• B22F 10/28 - Powder bed fusion, e.g. selective laser melting [SLM] or electron beam melting [EBM]
• B22F 12/90 - Means for process control, e.g. cameras or sensors
• G06N 20/00 - Machine learning
• G06T 1/00 - General purpose image data processing
• G06T 3/00 - Geometric image transformation in the plane of the image
• G06T 7/00 - Image analysis
• B33Y 10/00 - Processes of additive manufacturing
• B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes

Abstract

The invention relates to method for preventing manufacturing defects during additive manufacturing of a manufactured object comprises the following steps: Providing a detection system in the additive manufacturing device for detecting at least one property of the manufacturing object, manufacturing the manufacturing object in a plurality of manufacturing steps, wherein during manufacturing the detection system determines the at least one property of the manufacturing object, comparing the at least one property to a desired state of the property, determining deviations between the at least one property and the desired state of the property, evaluating the deviation determined in the deviation determining step, if deviations are determined, determining an adjustment of at least one process parameter based on the deviation determined in the deviation determining step for reducing the deviation in the further manufacturing process, applying the adjustment of the at least one process parameter determined in the adjustment determining step.

IPC Classes  ?

• B22F 10/38 - Process control to achieve specific product aspects, e.g. surface smoothness, density, porosity or hollow structures
• B22F 12/90 - Means for process control, e.g. cameras or sensors
• B22F 10/85 - Data acquisition or data processing for controlling or regulating additive manufacturing processes
• B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
• B33Y 10/00 - Processes of additive manufacturing