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Zhiguo li

Zhiguo li

Henan Polytechnic University
China

Title: Multiscale geometrical modelling of tomato fruit, why and how?

Biography

Zhiguo Li has completed his PhD at the age of 27 years from Jiangsu University and is carrying out postdoctoral studies ofMarie Curie Research Fellow from School of Chemical Engineering, University of Birmingham.His research interest focuses on the evaluation and prevention of mechanical handling damage of fruits and vegetables. He has published 26 papers in reputed journals (cited 141 times) andbeen authorized 4 national invention patents. Dr.Li was invited to be Reviewer of 14 international journals in food engineering and Editorial Board Member of 2 open access journals.

Abstract

It would be scientifically and commercially valuable to understand how external mechanical damage to fruit causes internal cellular damage and other changes that lead to bruising. This requires multi-scale geometrical modelling and FEA simulations linking the macroscopic (whole fruit) scale through the mesoscopic (tissue) scale to the microscopic (cellular) scale. As a first step in such modelling, the anatomical characteristics of a commercial tomato variety were reviewed.Subsequently, some key technologies to simplify an anatomical model of a real tomato fruit for geometrical modelling are discussed in detail. It mainly includesi) what components should be included in a multiscalegeometrical model of whole fruit? ii) how to create the asymmetric and irregular structure and curved contour line of fruit at different scales; iii) howto connect the boundaries between different tissues in a whole fruit model; iv) how best to represent the cells in specific tissues, this relates to the vibration in tissue thickness, cell size, shape and arrangement, cell wall thickness and protoplast; v) how to handle the effect of locular cavity and some spaces between cells on the simulation result in FEA. In summary, it is important to simplify an anatomical model of a real tomato fruit for geometrical modelling. A more complex model might be more accurate but take a long time to compute using FEA. Using these new simplifications a potential improvement in model accuracy would be achieved within existing computing power. Those simplified methods might also be suitable for geometrical modelling of other fruits.

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