Detailed resource on the "Why," "What," and "How" of process modeling, explained via hands-on tutorials, examples, and relevant industry workshops
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to AI, data analytics, and sustainable process designs. The text also covers practical problems, handling of real data streams, developing the right level of detail, and how to tune models to the available data, among other topics, to allow for easy translation of concepts into practice.
Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on:
- Selection of property methods and estimation of physical properties for polymer process modeling
- Reactor modeling, convergence tips and data-fit tool, and free radical polymerizations (LDPE and EVA)
- Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and free radical and ionic polymerizations (PS and SBS rubber)
- Improved polymer process operability and control through steady-state and dynamic simulation models
- Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models for simulating and optimizing polyolefin, making it an essential resource for post-graduate students, researchers, and new and experienced engineers involved in relevant fields.
About the Author:
Y.A. Liu, Alumni Distinguished Professor at Virginia Tech, is an award-winning teacher of sustainable design and practice, and industrial sustainable design projects. 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 works on development of machine learning and hybrid modeling applications.
