Reinforced Polymer Matrix Syntactic Foams: Effect of Nano and Micro-Scale Reinforcement (SpringerBriefs in Materials). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2013
- Softcover
- Neu

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Artikelbeschreibung des Verkäufers
In English.
Bestandsnummer des Verkäufers ria9783319012421_new
- Titel
- Reinforced Polymer Matrix Syntactic Foams: Effect of Nano and Micro-Scale Reinforcement (SpringerBriefs in Materials)
- Autor
- Gupta, Nikhil; Pinisetty, Dinesh; Shunmugasamy, Vasanth Chakravarthy
- Verlag
- Springer
- Erscheinungsjahr
- 2013
- Zustand
- New
- Einband
- Softcover
- Sprache
- Englisch
- ISBN-10
- 3319012428
- ISBN-13
- 9783319012421
- Artikelgewicht
- 263 Gramm
- Serie
- Buch 7 von 68: SpringerBriefs in Materials
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.
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Über die Autorin bzw. den Autor
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.
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