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Grain --- Storage --- History --- History. --- 631.563 --- 631.576.3 --- 63 <09> --- -Grain --- -Breadstuffs --- Cereal grains --- Cereals --- Grains --- Botany, Economic --- Field crops --- Flour --- Food --- Food crops --- Seed crops --- Storage of produce. Preparation, drying, comminuting etc. Ensilage --- Seeds as products. Cereals. Nuts without shells --- History of agriculture --- -History --- -Storage of produce. Preparation, drying, comminuting etc. Ensilage --- 63 <09> History of agriculture --- 631.576.3 Seeds as products. Cereals. Nuts without shells --- 631.563 Storage of produce. Preparation, drying, comminuting etc. Ensilage --- -63 <09> History of agriculture --- Breadstuffs --- -631.563 Storage of produce. Preparation, drying, comminuting etc. Ensilage --- -Storage --- Storage.

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Sinds oudsher worden verschillende methoden gebruikt om vruchten na de oogst te bewaren om grote economische verliezen te beperken en om hun beschikbaarheid gedurende het hele jaar te garanderen. Met moderne bewaartechnieken zoals gecontroleerde atmosfeer (CA) kunnen vruchten zoals appel en peer tot een jaar bewaard worden zonder noemenswaardige kwaliteitsverliezen. Bij onoordeelkundige instelling van de bewaaratmosfeer kunnen echter fysiologische bewaarproblemen zoals bruinverkleuring en holtevorming optreden. Zowel experimentele benaderingen als wiskundige modellen werden in het verleden gebruikt om het verband te onderzoeken tussen interne gasconcentratie, gastransport, ademhaling, bruinverkleuring en interne holtevorming in appel en peer. Experimenten zijn echter duur, langdradig en tijdsintensief. Bovendien is het moeilijk om het tijdsverloop van de ontwikkeling van bewaarproblemen experimenteel te onderzoeken omdat er tot op heden geen niet-destructieve technieken bestaan om de interne gasconcentratie in een vrucht te meten. Wiskundige modelbouw van de hogervermelde processen in vruchten is daarom aangewezen. Hiertoe dienen geometrische modellen van de vruchten op de verschillende relevante ruimtelijke schalen beschikbaar te zijn. Alhoewel dergelijke modellen beschikbaar zijn voor intacte vruchten, is dit niet het geval voor vruchtweefsel dat kan beschouwd worden als een poreus medium bestaande uit poriën en celclusters. Geometrisch kan dit poreus medium beschreven worden als een netwerk van poriën en een tesselatie van veelhoeken zoals een Voronoi-diagram of een verzameling van afgeknotte ellipsen die de celclusters vertegenwoordigen. De hoofddoelstelling van dit onderzoek was de ontwikkeling van algoritmen voor de generatie van virtuele weefsels van hardfruit. De werkelijke geometrie van de intercellulaire reuimte en celaggregaten werd afgeleid van lichtmicroscopische beelden en X-stralen computertomografiebeelden. Algorithmen om de microstructurele geometrische eigenschappen te kwantificeren werden ontwikkeld. Vormdescriptoren zoals grootte, oriëntatie en aspect werden bepaald en statistisch geanalyseerd. Vervolgens werden Voronoitesselatie-algorithmen en een nieuw ontwikkeld ellipstesselatie-algorithme ontwikkeld om representatieve virtuele weefsels te genereren om de celaggregaten en interconnectiviteit van de intercellulaire ruimte te beschrijven. De virtuele weefsels die door beide algorithmen werden gegenereerd bezaten dezelfde statistische en ruimtelijke eigenschappen als de microscopische en microtomografische beelden. De geometrische modellen werden geëxporteerd naar een eindige-elementen- en eindigevolumecode voor berekeningen van gas- en vochttransport met behulp van multischaalmodellen. Since early history of humanity, different postharvest preservation techniques have been implemented to make fruits available the whole year round and avoid huge economical losses. With modern preservation techniques, fruits such as apple and pear can be preserved up to a year without considerable quality losses. One of the most popular preservation methods is the use of controlled atmosphere (CA) storage in cool rooms. As any human exercise, however, the preservation techniques have limitations. There are some physiological disorders associated with controlled atmosphere (CA) storage, such as pear core break down and internal tissue browning. Both experimental and modeling approaches have been followed to investigate the relationship between the gas concentration, gas diffusion, respiration and physiological disorders in apple and pear. Experimental approaches are, however, costly, tiresome and time consuming. Moreover, it is difficult to investigate the time course of the physiological disorders experimentally because of the lack of non-destructive techniques to measure the internal gas concentration in the fruit. This calls for the need for modeling these processes in fruit. Geometrical models for fruit at the different relevant scales are indispensable for this purpose. Although such models are available for individual fruit, this is not the case for fruit tissues which can be considered as porous media consisting of pores and cluster of cells. Geometrically, this porous medium can be described as a network of pores and a tesselation of polygons, known as Voronoi diagrams or truncated ellipsoids, which represent the clusters of cells. The main objective of this work was, therefore, to develop virtual tissue generators (algorithms) that are used to produce representative virtual tissue of different pome tissues. In this respect, the actual geometry of the pore space and aggregate of cells was derived from microscopic images and X-ray computed tomographic images. Algorithms to quantify microstructural geometrical properties were developed. The shape features (size, orientation, aspect ratio) were characterized, and statistically analyzed. Subsequently, Voronoi tessellation and novel ellipse and ellipsoid tesselation algorithms were developed to generate representative virtual tissues defining the aggregates of cells and interconnection of pore space. The ellipse and ellipsoid tesselation algorithms produced statistically and spatially equivalent geometrical models of the microstructure at 2D and 3D, respectively. The representative tissue geometries were interfaced with finite element and finite volume codes via novel interfacing algorithms. The geometric models will be used to perform in silico experiments to calculate gas and moisture transport with multiscale models. Transport processes of gas and moisture are amongst the most important physiological processes in fruit during postharvest storage. Both experimental and modeling approaches have been followed to investigate the relationship between the gas concentration, gas diffusion, respiration and physiological disorders in apple and pear. Experimental approaches are, however, costly, tiresome and time consuming. Moreover, there are no non-destructive techniques to measure the internal gas concentration in the fruit to investigate the time course of the physiological disorders experimentally. This calls for the need for modeling these processes in fruit. Geometrical models for fruit at different relevant scales are indispensable for this purpose. Because of their complexity, numerical solutions based on the finite element or volume method are mandatory. The challenge to such modeling approach lies on the geometric representation of complex biological systems. Although such models are available for individual fruit, this is not the case for fruit tissues which can be considered as porous media consisting of pores and cluster of cells. Geometrically, this porous medium can be described as a network of pores and a tesselation of polygons, known as Voronoi diagrams or truncated ellipsoids, which represent the clusters of cells. The main objective of this work was, therefore, to develop virtual tissue generators that are used to produce representative virtual tissue of different pome fruit tissues. In this respect, the actual geometry of the pore space and aggregate of cells was derived from microscopic images and X-ray computed tomographic images. Algorithms to quantify microstructural geometrical properties and generate representative virtual tissues defining the aggregates of cells and interconnection of pore space were developed. The geometric models were interfaced with finite element and finite volume geometric modeling softwares via novel interfacing algorithms. The representative tissue geometries were also successfully exported into finite element and finite volume codes to perform computer simulations to calculate gas and moisture transport with multiscale models

Academic collection --- 631.563 --- 664.85 --- 681.3*I63 --- 681.3*I63 Applications (Simulation and modeling) --- Applications (Simulation and modeling) --- 664.85 Preservation of fruit (including nuts). Jams --- Preservation of fruit (including nuts). Jams --- 631.563 Storage of produce. Preparation, drying, comminuting etc. Ensilage --- Storage of produce. Preparation, drying, comminuting etc. Ensilage --- Theses

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Fruit --- Vegetables --- Stockage en atmosphère contrôlée --- Controlled atmosphere storage --- Installation de stockage --- Storage structures --- Physiologie après récolte --- Postharvest physiology --- 631.563 --- 634.1 --- 635 --- -Protective atmospheres --- -Food crops --- Horticultural crops --- Horticultural products --- Atmospheres, Protective --- Controlled atmospheres (Industrial processes) --- Chemical engineering --- Gases --- Fruits --- Pomology --- Food --- Food crops --- Plants --- Storage of produce. Preparation, drying, comminuting etc. Ensilage --- Fruit-growing generally --- Garden plants. Gardening --- Storage --- -Storage of produce. Preparation, drying, comminuting etc. Ensilage --- 635 Garden plants. Gardening --- 634.1 Fruit-growing generally --- 631.563 Storage of produce. Preparation, drying, comminuting etc. Ensilage --- -Atmospheres, Protective --- Protective atmospheres --- Atmospheres, Modified --- Modified atmospheres

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Packaging --- Aptitude à la conservation --- Keeping quality --- Conserve de fruits --- Canned fruits --- Produit en conserve --- Canned products --- 631.576 --- 664.85 --- Storage of produce. Preparation, drying, comminuting etc. Ensilage --- Fruits. Parts of fruit --- Preservation of fruit (including nuts). Jams --- 664.85 Preservation of fruit (including nuts). Jams --- 631.576 Fruits. Parts of fruit --- 631.563 Storage of produce. Preparation, drying, comminuting etc. Ensilage --- 631.563 --- Fruits --- Developing countries --- storage --- Food technology --- Appropriate technology --- Préservation --- Preservation --- Fruit --- Preservation. --- Conservation

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Structural parts and elements of building --- ijs --- ondergrondse gebouwen --- Underground structures. Earthwork --- Heating, climatisation, ventilation and air conditioning --- koelinstallaties --- ijskelders --- architectuur --- geschiedenis --- Icehouses --- Architectuur ; ijskelders ; oude koeltechnieken --- 728.97 --- 725.3 --- 725.35 --- 72.03 --- 69 --- architectuurgeschiedenis --- 664.8.037 --- 631.563 --- Ice-houses --- Outbuildings --- Warehouses --- Woningbouw ; ijskelders --- Gebouwen voor verkeer, vervoer en opslag --- Opslagplaatsen (architectuur) --- Stapelplaatsen --- Stapelhuizen --- Ijskelders --- Architectuurgeschiedenis --- Architectuur (geschiedenis) --- Bouwtechniek --- Pakhuizen. Vemen. Koelhuizen. Opslagplaatsen. IJskelders --- Food preservation by refrigeration. Storage and transport of refrigerated food --- Storage of produce. Preparation, drying, comminuting etc. Ensilage --- Icehouses. --- HIS History & Biographies --- architecture --- garden architecture --- history --- methods & techniques --- 631.563 Storage of produce. Preparation, drying, comminuting etc. Ensilage --- 664.8.037 Food preservation by refrigeration. Storage and transport of refrigerated food --- cooling, heating and humidifying equipment --- heating systems --- underground structures --- ijskelders. --- architectuur. --- geschiedenis. --- Architecture --- architecture [discipline]