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Materials Phase Change PDE Control & Estimation: From Additive Manufacturing to Polar Ice de Shumon Koga

Materials Phase Change PDE Control & Estimation: From Additive Manufacturing to Polar Ice: Systems & Control: Foundations & Applications

Autor Shumon Koga, Miroslav Krstić
en Limba Engleză Paperback – 2 noi 2021

Observăm în literatura academică dedicată sistemelor dinamice o lacună în ceea ce privește soluțiile algoritmice robuste pentru controlul proceselor cu schimbare de fază, unde frontierele mobile complică modelarea matematică tradițională. Volumul Materials Phase Change PDE Control & Estimation de Shumon Koga și Miroslav Krstić, publicat de Birkhäuser, vine să completeze acest gol prin introducerea unor algoritmi de ultimă oră pentru problema Stefan. Subliniem modul în care autorii reușesc să transforme o problemă teoretică complexă într-un instrument util pentru ingineria modernă.

Cartea este structurată riguros în două părți fundamentale. Prima parte se concentrează pe fundamentele matematice, abordând designul controlului prin feedback de stare și estimarea stării, inclusiv pentru modele extinse și sisteme cu date eșantionate. A doua parte face trecerea spre latura pragmatică, explorând aplicații precum imprimarea 3D a polimerilor prin extrudare și sinterizarea laser a metalelor. Această progresie de la teorie la experiment oferă o claritate metodologică necesară în studiul ecuațiilor cu derivate parțiale.

În contextul literaturii de specialitate, acest titlu acoperă aceeași arie tematică precum Inverse Stefan Problems de N.L. Gol'dman, dar cu o abordare mult mai orientată către controlul activ și implementarea industrială, spre deosebire de accentul pus de Gol'dman pe problemele inverse și natura lor rău pusă. De asemenea, dacă Free and Moving Boundaries de Roland Glowinski oferă o perspectivă largă, interdisciplinară asupra frontierelor mobile în fluide, lucrarea de față se distinge prin focalizarea specifică pe controlul PDE și validarea experimentală a schimbărilor de fază în materiale.

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Specificații

ISBN-13: 9783030584924
ISBN-10: 3030584925
Pagini: 352
Ilustrații: XIII, 352 p. 67 illus., 60 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.51 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Systems & Control: Foundations & Applications

Locul publicării:Cham, Switzerland

De ce să citești această carte

Recomandăm această monografie cercetătorilor și studenților la master sau doctorat care doresc să stăpânească controlul sistemelor cu frontiere mobile. Cititorul câștigă acces la algoritmi verificați experimental, aplicabili imediat în tehnologii de vârf precum fabricarea aditivă sau optimizarea bateriilor litiu-ion. Este un instrument esențial pentru a transforma modelele matematice complexe în soluții inginerești viabile, oferind totodată direcții clare de cercetare prin secțiunile de probleme deschise.

Descriere scurtă

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.

Cuprins

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.

Recenzii

“The book is remarkably accessible to a reader without an advanced mathematical background. … the book definitely deserves a broad circulation, as it bridges many different areas of control and estimation theory with engineering, which could be of potential interest to many readers. Another interesting feature of this book is that both the theoretical part and the application part of the book contain lists of open problems. This will likely appeal to young researchers looking for challenges.” (Martin Weiss, Mathematical Reviews, June, 2022)

“This book provides a concise and self-contained introduction to the Stefan problem, ranging from the rigorous mathematical formulation and solution to many concrete examples of applications.” (Jun Nian, zbMATH 1473.82004, 2021)
“This text is suited for researchers and graduate students working on control and dynamical systems, specifically those studying PDEs and moving boundaries.” (IEEE Control Systems Magazine, Vol. 41 (2), April, 2021)

Caracteristici

Introduces an innovative control algorithm for partial differential equations with moving boundaries, intended for the control and state estimation of the Stefan problem Includes a variety of applications, such as additive manufacturing, polar ice, and lithium-ion batteries Offers a number of open problems ideal for readers looking for potential future paths in research