Additive Manufacturing In-situ and Ex-Situ Geometric Data Registration

Area of Science:

• Materials Science
• Mechanical Engineering
• Data Science

Background:

• The proliferation of measurement devices in Laser-Based Powder Bed Fusion of Metals (L-PBF) generates diverse datasets.
• These datasets originate from unique coordinate systems and formats, hindering integrated analysis.
• Effective data alignment is essential for leveraging this information.

Purpose of the Study:

• To introduce a standardized data registration procedure for L-PBF.
• To demonstrate data alignment to a single reference coordinate system.
• To facilitate downstream applications like data analytics, AI, and part qualification.

Main Methods:

• Development of a data-registration procedure.
• Spatial alignment of disparate datasets to a common reference coordinate system.
• Illustrative example of the data alignment process.

Main Results:

• Successful alignment of measurement data from various sources into a unified coordinate system.
• Demonstration of a practical data-registration workflow.
• Establishment of a prerequisite for advanced data analysis.

Conclusions:

• Data alignment is a critical step for effective data utilization in Additive Manufacturing.
• The presented procedure enables the integration of multi-source data for L-PBF.
• Standardized data registration supports AI, data analytics, and part qualification in metal AM.