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Stochastic FEA Framework for Modeling Filler Modified Polymers: A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers - Softcover
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Polymers have various attractive properties (e.g., low volume mass density, low cost and excellent degradation resistance), and hence, they have become essential for a wide range of applications (e.g., aerospace, oil and gas and renewable energy industries). However, due to their limited mechanical, thermal and electrical properties in comparison with typical metallic materials (e.g., steel and aluminum alloys), polymers often need to be modified with different types of fillers to meet the requirements of specific applications. A multitude of filler materials (e.g., nano silver particles, carbon nanotubes, graphene) are available with a wide range of geometries, such as spherical, fiber and platelet shapes. Therefore, developing methods for efficiently characterizing and identifying mechanical and physical properties of filler modified polymers is an important engineering task. The objective of this thesis is to create and validate a numerical modeling framework for predicting mechanical, thermal and electrical properties of particulate polymer composites.
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Über die Autorin bzw. den Autor
Dr. Ahmadi Moghaddam has focused his research on designing advanced single and hybrid filler modified polymers (i.e., macro and Nano filler modified polymers) and calculating their material properties (e.g., mechanical, thermal and electrical properties). He is currently working with Hi-Kalibre Equipment as a Senior FEA Engineer.
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Stochastic FEA Framework for Modeling Filler Modified Polymers
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Polymers have various attractive properties (e.g., low volume mass density, low cost and excellent degradation resistance), and hence, they have become essential for a wide range of applications (e.g., aerospace, oil and gas and renewable energy industries). However, due to their limited mechanical, thermal and electrical properties in comparison with typical metallic materials (e.g., steel and aluminum alloys), polymers often need to be modified with different types of fillers to meet the requirements of specific applications. A multitude of filler materials (e.g., nano silver particles, carbon nanotubes, graphene) are available with a wide range of geometries, such as spherical, fiber and platelet shapes. Therefore, developing methods for efficiently characterizing and identifying mechanical and physical properties of filler modified polymers is an important engineering task. The objective of this thesis is to create and validate a numerical modeling framework for predicting mechanical, thermal and electrical properties of particulate polymer composites. 364 pp. Englisch. Bestandsnummer des Verkäufers 9786138956259
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Stochastic FEA Framework for Modeling Filler Modified Polymers
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moghaddam AhmadiDr. Ahmadi Moghaddam has focused his research on designing advanced single and hybrid filler modified polymers (i.e., macro and Nano filler modified polymers) and calculating their material properties (e.g., mechanica. Bestandsnummer des Verkäufers 495848643
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Stochastic FEA Framework for Modeling Filler Modified Polymers | A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers
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Taschenbuch. Zustand: Neu. Stochastic FEA Framework for Modeling Filler Modified Polymers | A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers | Ahmadi Moghaddam | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138956259 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120465651
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Stochastic FEA Framework for Modeling Filler Modified Polymers
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Polymers have various attractive properties (e.g., low volume mass density, low cost and excellent degradation resistance), and hence, they have become essential for a wide range of applications (e.g., aerospace, oil and gas and renewable energy industries). However, due to their limited mechanical, thermal and electrical properties in comparison with typical metallic materials (e.g., steel and aluminum alloys), polymers often need to be modified with different types of fillers to meet the requirements of specific applications. A multitude of filler materials (e.g., nano silver particles, carbon nanotubes, graphene) are available with a wide range of geometries, such as spherical, fiber and platelet shapes. Therefore, developing methods for efficiently characterizing and identifying mechanical and physical properties of filler modified polymers is an important engineering task. The objective of this thesis is to create and validate a numerical modeling framework for predicting mechanical, thermal and electrical properties of particulate polymer composites.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 364 pp. Englisch. Bestandsnummer des Verkäufers 9786138956259
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Stochastic FEA Framework for Modeling Filler Modified Polymers: A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers
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Stochastic FEA Framework for Modeling Filler Modified Polymers : A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Polymers have various attractive properties (e.g., low volume mass density, low cost and excellent degradation resistance), and hence, they have become essential for a wide range of applications (e.g., aerospace, oil and gas and renewable energy industries). However, due to their limited mechanical, thermal and electrical properties in comparison with typical metallic materials (e.g., steel and aluminum alloys), polymers often need to be modified with different types of fillers to meet the requirements of specific applications. A multitude of filler materials (e.g., nano silver particles, carbon nanotubes, graphene) are available with a wide range of geometries, such as spherical, fiber and platelet shapes. Therefore, developing methods for efficiently characterizing and identifying mechanical and physical properties of filler modified polymers is an important engineering task. The objective of this thesis is to create and validate a numerical modeling framework for predicting mechanical, thermal and electrical properties of particulate polymer composites. Bestandsnummer des Verkäufers 9786138956259
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Stochastic FEA Framework for Modeling Filler Modified Polymers: A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers
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Stochastic FEA Framework for Modeling Filler Modified Polymers: A Stochastic Finite Element Analysis Framework for the Multiple Physical Modeling of Filler Modified Polymers
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