UID:
almahu_9948609784202882
Umfang:
XIII, 352 p. 67 illus., 60 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030584900
Serie:
Systems & Control: Foundations & Applications,
Inhalt:
This monograph introduces breakthrough control algorithms for partial differential equation models with moving boundaries, the study of which is known as the Stefan problem. The algorithms can be used to improve the performance of various processes with phase changes, such as additive manufacturing. Using the authors' innovative design solutions, readers will also be equipped to apply estimation algorithms for real-world phase change dynamics, from polar ice to lithium-ion batteries. A historical treatment of the Stefan problem opens the book, situating readers in the larger context of the area. Following this, the chapters are organized into two parts. The first presents the design method and analysis of the boundary control and estimation algorithms. Part two then explores a number of applications, such as 3D printing via screw extrusion and laser sintering, and also discusses the experimental verifications conducted. A number of open problems and provided as well, offering readers multiple paths to explore in future research. Materials Phase Change PDE Control & Estimation is ideal for researchers and graduate students working on control and dynamical systems, and particularly those studying partial differential equations and moving boundaries. It will also appeal to industrial engineers and graduate students in engineering who are interested in this area.
Anmerkung:
Preface -- Phase-Change Model - Stefan Problem -- Part I: Design and Analysis -- State Feedback Control Design -- State Estimation Design -- Extended Models and Design -- Two-Phase Stefan Problem -- Sampled-Data Design -- Open Problems -- Part II: Applications and Experiment -- Sea Ice -- Lithium-Ion Batteries -- Polymer 3D-Printing via Screw Extrusion -- Metal 3D-Printing via Selective Laser Sintering -- Experimental Study using PCM -- Open Problems.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030584894
Weitere Ausg.:
Printed edition: ISBN 9783030584917
Weitere Ausg.:
Printed edition: ISBN 9783030584924
Sprache:
Englisch
DOI:
10.1007/978-3-030-58490-0
URL:
https://doi.org/10.1007/978-3-030-58490-0
