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Civil-Comp Conferences
ISSN 2753-3239 CCC: 2
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi
Paper 16.1
Optimizing Process Time in Closed-Loop Laser Metal Deposition Processes Using Embedded Software and FPGA Hardware Acceleration B. Arejita1,2, I. Garmendia3, C. Roldán1 and A. Zuloaga2
1EXOM Engineering, Barakaldo, Spain B. Arejita, I. Garmendia, C. Roldán, A. Zuloaga, "Optimizing Process Time in Closed-Loop Laser Metal
Deposition Processes Using Embedded Software and
FPGA Hardware Acceleration", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 2, Paper 16.1, 2022, doi:10.4203/ccc.2.16.1
Keywords: laser metal deposition, closed-loop control, robotics, embedded software,
fpga, real-time, dynamic control.
Abstract
In laser metal deposition processes, a metal powder is melted with a high-power laser
source to generate a 3D structure layer by layer. Due to the complex nature of the
process, each generated layer presents a non-uniform surface that differs from the
theoretical height, introducing cumulative errors in the material growth direction that
can significantly impact the quality of the manufactured object. A typical LMD
process performs a surface measurement to compensate for the previous layer height
errors before the deposition of the material in the new layer. This intralayer
measurement phase introduces a time overhead that affects the time needed to
manufacture the part. This paper presents a method that minimizes the processing time
by reducing the intralayer measurement time by implementing a hardware coprocessor
implemented in a system on a chip (SoC) with an integrated FPGA. A laser
line profiler attached to the LMD laser head that was mounted on an industrial robot
has been used to measure the surface as the piece was scanned after finishing each
layer material deposition. These allowed to generate height deviations and compute
offsets in height and speed to be dynamically applied to the tool path in the following
layer material deposition. The validation tests showed satisfactory results as the total
process time was significantly reduced by minimizing the layer measurement phase
time and eliminating the pre-deposition tool path modification phase as the changes
were applied dynamically during the deposition.
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