2017
DOI: 10.1016/j.jmapro.2017.02.006
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Smart aluminum components: Printed sensors for integration into aluminum during high-pressure casting

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Cited by 14 publications
(9 citation statements)
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“…Hybridization will more and more be extended to the field of smart structures and material‐integrated intelligent systems, addressing markets beyond the already deeply investigated aerospace or wind energy plant structural health monitoring and using AM as well as other manufacturing processes like metal casting (see Figure f) as vehicle . A specific motivation for this latter point may be found in the trend toward autonomous driving.…”
Section: Future Trendsmentioning
confidence: 99%
“…Hybridization will more and more be extended to the field of smart structures and material‐integrated intelligent systems, addressing markets beyond the already deeply investigated aerospace or wind energy plant structural health monitoring and using AM as well as other manufacturing processes like metal casting (see Figure f) as vehicle . A specific motivation for this latter point may be found in the trend toward autonomous driving.…”
Section: Future Trendsmentioning
confidence: 99%
“…The "smart" woven fabric is then handled as a common woven fabric and integrated in a standard CFRP process. A second example is a resistive structure printed on an aluminum sheet [8], as shown in Figure 4. The sensor can be used as either a strain gauge or a thermoresistive temperature sensor.…”
Section: Printed Sensors For Materials Integrated Sensingmentioning
confidence: 99%
“…Integrating sensors directly into car parts during manufacturing could yield highly precise data of the actual state of the car's main structural elements, and in particular of safety-relevant chassis components [2]. This would allow to sense directly at the point of origin of potential damage, deep inside the metal part [3] [4]. However, the harsh processing conditions, which, depending on casting process and material, entail exposure to high temperatures and mechanical loads.…”
Section: Introductionmentioning
confidence: 99%