Design Optimization using MATLAB and SOLIDWORKS

A hands-on text integrating mathematics, numerics and applications of optimization, with MATLAB code illustrating every concept.

Krishnan Suresh (Author)

9781108491600, Cambridge University Press

Hardback, published 29 April 2021

394 pages
25.9 x 18.2 x 2.4 cm, 0.93 kg

'Dr. Suresh's text brings his contributions to shape optimization into the classroom by connecting optimization, MATLAB, SOLIDWORKS, and SOLIDLAB into a single textbook. This text enables the reader to build upon this research accomplishment. I look forward to seeing what my students can achieve with this textbook at their fingertips.' Cameron Turner, Clemson University

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.

Preface
Table of Contents
1. Introduction
2. Modeling
3. Introduction to MATLAB
4. Unconstrained Optimization: Theory
5. Unconstrained Optimization: Algorithms
6. MATLAB Optimization Toolbox
7. Constrained Optimization
8. Special Classes of Problems
9. Truss Analysis
10. Size Optimization of Trusses
11. Gradient Computation
12. Finite Element Analysis in 2D
13. Shape Optimization in 2D
14. Finite Element Analysis in 3D
15. SOLIDLAB: A SOLIDWORKS-MATLAB Interface
16. Shape Optimization using SOLIDLAB
17. Appendix
18. References.

Subject Areas: Object-oriented programming [OOP UMN], Computer programming / software development [UM], Optimization [PBU], Mathematics [PB], Mathematics & science [P]