Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing 2V Set
Wiley-VCH (Verlag)
978-3-527-35267-8 (ISBN)
Y.A. Liu, Alumni Distinguished Professor at Virginia Tech, is an award-winning teacher of sustainable design and practice, and industrial sustainable design projects. American Society for Engineering Education honored Liu with the George Westinghouse Award for excellence in engineering education and Fred Merryfield Design Award for excellence in teaching and research of sustainable design. The Chemical Manufacturers Association honored Liu with the National Catalyst Award for excellence in chemical education. Niket Sharma received his PhD in chemical engineering and M. Eng. in computer science with specialization in machine learning from Virginia Tech in 2021. He is currently a Senior Engineer at Aspen Technology, Boston, where he is working on the development of machine learning and hybrid modeling applications combining chemical engineering and data science principles. His Ph.D. dissertation focused on integrated process modelling and big data analytics for optimizing polyolefin manufacturing.
1. Introduction to Integrated Process Modeling, Advanced Control, and Data Analytics in Optimizing Polyolefin Manufacturing
2. Selection of Property Methods and Estimation of Physical Properties for Polymer Process Modeling
3. Reactor Modeling, Convergence Tips and Data-Fit Tool
4. Free Radical Polymerizations: LDPE and EVA
5. Ziegler-Natta Polymerization: HDPE, PP, LLPDE and EPDM
6. Free Radical and Ionic Polymerizations: PS and SBS Rubber
7. Improved Polymer Process Operability and Control through Steady-State and Dynamic Simulation Models
8. Model-Predictive Control of Polyolefin Processes
9. Application of Multivariate Statistics to Optimizing Polyolefin Manufacturing
10. Applications of Machine Learning to Optimizing Polyolefin Manufacturing
11. A Hybrid Science-Guided Machine Learning Approach for Modeling Chemical and Polymer Processes
Erscheinungsdatum | 23.08.2023 |
---|---|
Verlagsort | Weinheim |
Sprache | englisch |
Maße | 170 x 244 mm |
Gewicht | 1940 g |
Themenwelt | Naturwissenschaften ► Chemie ► Organische Chemie |
Naturwissenschaften ► Chemie ► Technische Chemie | |
Technik ► Maschinenbau | |
Schlagworte | chemical engineering • Chemie • Chemische Verfahrenstechnik • Chemistry • Industrial Chemistry • Polymer processing • Polymer Science & Technology • Polymerverarbeitung • Polymerwissenschaft u. -technologie • Polyolefine • Process Engineering • Prozessmodell • Prozesssteuerung • Technische u. Industrielle Chemie |
ISBN-10 | 3-527-35267-8 / 3527352678 |
ISBN-13 | 978-3-527-35267-8 / 9783527352678 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich