Design Optimization using MATLAB and SOLIDWORKS - Couverture rigide

Suresh, Krishnan

Couverture rigide

ISBN 10 : 110849160X ISBN 13 : 9781108491600

Editeur : Cambridge University Press, 2021

Synopsis

A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB®'s optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS® for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems.

A propos du livre

À propos de l?auteur

Dr. Kirshnan Suresh is the Philip and Jean Myers Professor of Mechanical Engineering at University of Wisconsin, Madison, where he is also Director of the Engineering Representations and Simulation Lab. In 2018 he was honored as the recipient of the James G. Woodburn Award for Excellence in Undergraduate Teaching, and in 2017 he was elected as a Fellow of the American Society of Mechanical Engineers (ASME).

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 110849160X
• ISBN 13: 9781108491600
• Reliure: Relié
• Nombre de pages: 394
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France