2016
DOI: 10.1016/j.biosystemseng.2016.03.004
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Drop test of pear fruit: Experimental measurement and finite element modelling

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Cited by 66 publications
(51 citation statements)
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“…Xiong et al [41] used hyperspectral imaging to detect micro-damage in lychees. This technique was useful in quantifying the influence of various stages such as harvesting, preservation, storage, and transportation on lychee fruit damage [42].…”
Section: Experiments Testing Lychees' Mechanical Friction Propertiesmentioning
confidence: 99%
“…Xiong et al [41] used hyperspectral imaging to detect micro-damage in lychees. This technique was useful in quantifying the influence of various stages such as harvesting, preservation, storage, and transportation on lychee fruit damage [42].…”
Section: Experiments Testing Lychees' Mechanical Friction Propertiesmentioning
confidence: 99%
“…Several studies have been published on this subject, attempting to characterize the mechanical behaviour of different fruit varieties, both by experimental means and by computational simulations [2][3][4][5][6][7][8]. Numerical simulation is one of the most powerful techniques, however, in order to obtain reliable results a realistic model should be used.…”
Section: Introductionmentioning
confidence: 99%
“…[6] There are many researches, which have investigated the level of damage, stress distribution, and reaction of the fruits under the external forces using FEM. [7][8][9] For example, deformation behavior of the tomato fruit was investigated upon crashing. [10] In this study, at the first, a 3D model of tomato was generated in CATIA software and then in order to find mechanical properties of tomato in compression tests, simulated using FEM.…”
Section: Introductionmentioning
confidence: 99%
“…Bruise susceptibility of Pear under various impact cases were experimentally determined and modeled using FEM by. [7] Three impact heights (0.2, 0.5, and 1 m), two impact surfaces (steel and wood), two impact orientations of the fruit (vertical and horizontal), and three ripeness level (unripe, ripe, and overripe) were considered in the impact simulation scenarios. The lowest and the highest errors between the predicted and observed bruised areas calculated by the ANSYS software were 0.00% and 60.53%, respectively.…”
Section: Introductionmentioning
confidence: 99%