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- ItemSpargel – Qualität, die sich hören lässt(Darmstadt : KTBL, 2013) Foerster, Julia; Truppel, Ingo; Geyer, MartinKommerziell verfügbare automatische Sortiermaschinen sind derzeit nicht in der Lage, hohle Spargelstangen, die als Qualitätsfehler auszusortieren wären, zuverlässig zu erkennen. Im Folgenden wird ein neues Verfahren – basierend auf der akustischen Resonanzanalyse – vorgestellt, das potenziell in der Lage ist, intakte von hohlen Stangen zu unterscheiden und somit eine wertvolle Ergänzung zu den optischen Verfahren bietet.
- ItemComparison of electronic fruits for impact detection on a laboratory scale(Basel : MDPI, 2013) Praeger, Ulrike; Surdilovic, Jelena; Truppel, Ingo; Herold, Bernd; Geyer, MartinMechanical loads cause severe damage to perishable agricultural products. In order to quantify the mechanical impact during harvest and postharvest processes, several electronic fruits have been developed. The objective of the work described here was to compare on a laboratory scale different types of impact acceleration recording electronic fruits: Mikras implanted in a real potato tuber as well as in a dummy tuber, IRD, Smart Spud and TuberLog. The acquisition of mechanical impacts was performed using a drop simulator with optional steel or PVC as impact material as well as a processing line simulator. Our results show that drops from 10 cm height on PVC caused similar peak accelerations of Mikras implanted in a real potato or a dummy, IRD and TuberLog. When dropped onto steel however, IRD, TuberLog and Mikras implanted in a dummy recorded higher peak values than Mikras in real potatoes. Impact on the flat side of a tuber led to higher peak values than impact on the apical region. This could be caused by different elastic compliance of synthetic materials as well as material thickness. Running through the processing line simulator TuberLog recorded the most impact; Smart Spud recorded a low number of impacts compared to the other electronic fruits. In all experiments the least sensitive measurements were recorded using Smart Spud.