
Reinforced Polymer Matrix Syntactic Foams
Effect of Nano and Micro-Scale Reinforcement
Springer (Publisher)
Published on 7. October 2013
Book
Paperback/Softback
X, 80 pages
978-3-319-01242-1 (ISBN)
Description
Reinforced Syntactic Foams: Effect of Nano and Micro-Scale Reinforcement examines the fabrication processes, mechanism of reinforcement, and structure-property correlations of reinforced syntactic foams. The authors present the state of the art in this field, compare the properties of various types of syntactic foam systems comprising different matrix, hollow particle, and reinforcement materials. The book further identifies theories useful in predicting the properties of reinforced syntactic foams and conducting parametric studies to understand the possibility for tailoring their properties.
More details
Series
Edition
2013 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
20 s/w Abbildungen, 19 farbige Abbildungen
X, 80 p. 39 illus., 19 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 6 mm
Weight
154 gr
ISBN-13
978-3-319-01242-1 (9783319012421)
DOI
10.1007/978-3-319-01243-8
Schweitzer Classification
Other editions
Additional editions

Nikhil Gupta | Dinesh Pinisetty | Vasanth Chakravarthy Shunmugasamy
Reinforced Polymer Matrix Syntactic Foams
Effect of Nano and Micro-Scale Reinforcement
E-Book
09/2013
1st Edition
Springer
€53.49
Available for download
Persons
Nikhil Gupta is a seasoned data professional with over 18 years of experience in big data technologies, driving innovation and strategic growth in the field. As a Solution Architect at Databricks, he leverages his expertise to help customers across various industries, including retail, CPG, financial services, banking, and manufacturing, modernize their data and AI implementations on the Databricks platform. His expertise spans a range of big data technologies, including data warehousing, data lakes, and real-time data processing, making him a trusted advisor for Fortune 500 companies.
Jason Yip is a data and machine learning architect. He currently serves as Director of Data and AI at Tredence, a leading data science and analytics company. He advises Fortune 500 companies on implementing data and Generative AI strategies on the cloud. He serves on multiple advisory boards at Databricks, including the Partner Product Advisory Board, and the Solution Architect Champion Advisory board. He is a top voice on Databricks and a former Microsoft employee who successfully led the Microsoft Corporate Finance big data transformation using Databricks.
Content
Introduction.- Fillers and Reinforcements.- Processing and MicroStructure of Syntactic Foams.- Tensile Properties.- Modeling and Simulation.- Compressive Properties.- Flexural Properties.- Fracture Toughness.- Dynamic Mechanical Properties.- Summary and Future Challenges.