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Response of Apple Flesh to Compression under the Quasi-Static and Impact Loading Conditions.
Stropek, Zbigniew; Golacki, Krzysztof.
Afiliação
  • Stropek Z; Department of Mechanical Engineering and Automation, University of Life Sciences in Lublin, Gleboka 28, 20-612 Lublin, Poland.
  • Golacki K; Department of Mechanical Engineering and Automation, University of Life Sciences in Lublin, Gleboka 28, 20-612 Lublin, Poland.
Materials (Basel) ; 15(21)2022 Nov 03.
Article em En | MEDLINE | ID: mdl-36363336
ABSTRACT
Compression tests of cylindrical samples were carried out using two 'Rubin' and 'Red Jonaprince' apple cultivars with flesh firmness differing in a statistically significant way. The tests were conducted under both the quasi-static and impact loading conditions, which required the use of two test stands. For this purpose, an impact measuring stand was designed and built. The tests proved that the firmness of the apple flesh influenced the mechanical response under both the quasi-static and impact loading conditions. The elasticity modulus had much higher values under the impact than quasi-static loading conditions. This indicates that the stiffness of the apple tissue was larger during the impact than at the low-speed compression. Different failure mechanisms of cylindrical apple flesh samples were found depending on the loading conditions. Under the quasi-static loading conditions, the apples of both cultivars were damaged at the same strain value. However, during the impact, apples were apt to damage at a constant stress value regardless of the firmness of the tested cultivar. The toughness of the apple tissue depended on firmness and was larger under the quasi-static loading conditions for the apples with larger firmness. However, under the impact loading conditions, the toughness was greater for the apples with smaller firmness.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article