SAMPE Journal - November/December 2019 - 15
INTRODUCTION
The Additive Manufacturing (AM) industry is
interested in the development of reliable in-situ
sensing and monitoring technologies for metal
AM processes to enhance the quality of builds
used in the production of critical components for
aerospace applications with the accompanying
benefit of reduction of scrap rates, cost, and
number of post-built Non-Destructive Evaluations
(NDE) required for part qualification.
AM technology has demonstrated the ability to
decrease costs, decrease manufacturing lead-time
and fabricate complex structures, but certification
of component quality has proven to be challenging.
Because the process involves the continuous
deposition of successive layers of material, each
layer may be examined during manufacturing
without destructively testing the component
afterwards. While this may sound straightforward
on paper, a properly structured in-situ monitoring
and subsequent inspection of such parts would
be complicated. In general, Non-Destructive
Testing (NDT) are often difficult to realize during
manufacturing. However, considerable efforts
are justified to ensure the quality of AM-parts
and particularly for those parts used in aerospace
applications. Thus, the development of an online
in-situ sensing system is vitally needed to monitor
w w w. s a m p e . o r g
and document the complete AM process during
fabrication. On the other hand, it certainly calls
for new methods and standards in view of quality
assessment. In particular, when AM is utilized for
the design and manufacturing of complex parts
for aviation and aerospace industries, appropriate
monitoring systems are mandatory.
Although defects may be detectable after
deposition using NDT techniques, detecting them
earlier in the deposition process offers many
more benefits. It may enable users to interrupt
deposition and repair the unfinished part or
abort deposition to minimize further waste of
time and material. The main objective here is
to develop a methodology for real-time defect
detection during the Laser Powder Bed Fusion
(LPBF) of metals. To accomplish this goal, careful
integration of hardware (monitoring system) and
software (sensing-related processing) is required to
determine the part quality during manufacturing.
The current project proposes a synergistic
approach to AM that incorporates Integrated
Computational and Material Engineering (ICME),
process simulation, and process monitoring. By
monitoring the AM process via multiple sensing
technologies (e.g. temperature sensors, laser line
scanners, ultra-high-definition visual cameras,
ultrasonic sensors, and photodiodes), numerical
N OV E M B E R / D E C E M B E R 2 0 1 9
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https://www.airtech.lu/
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https://www.airtechonline.com/
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SAMPE Journal - November/December 2019
Table of Contents for the Digital Edition of SAMPE Journal - November/December 2019
Table of contents
SAMPE Journal - November/December 2019 - Cover1
SAMPE Journal - November/December 2019 - Cover2
SAMPE Journal - November/December 2019 - Table of contents
SAMPE Journal - November/December 2019 - 2
SAMPE Journal - November/December 2019 - 3
SAMPE Journal - November/December 2019 - 4
SAMPE Journal - November/December 2019 - 5
SAMPE Journal - November/December 2019 - 6
SAMPE Journal - November/December 2019 - 7
SAMPE Journal - November/December 2019 - 8
SAMPE Journal - November/December 2019 - 9
SAMPE Journal - November/December 2019 - 10
SAMPE Journal - November/December 2019 - 11
SAMPE Journal - November/December 2019 - 12
SAMPE Journal - November/December 2019 - 13
SAMPE Journal - November/December 2019 - 14
SAMPE Journal - November/December 2019 - 15
SAMPE Journal - November/December 2019 - 16
SAMPE Journal - November/December 2019 - 17
SAMPE Journal - November/December 2019 - 18
SAMPE Journal - November/December 2019 - 19
SAMPE Journal - November/December 2019 - 20
SAMPE Journal - November/December 2019 - 21
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SAMPE Journal - November/December 2019 - 25
SAMPE Journal - November/December 2019 - 26
SAMPE Journal - November/December 2019 - 27
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SAMPE Journal - November/December 2019 - Cover3
SAMPE Journal - November/December 2019 - Cover4
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