Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Design optimization is a systematic process aimed at achieving the best design solutions by formulating objectives and constraints. It enhances performance, reduces costs, improves reliability and safety, and catalyzes faster development cycles. The chapter covers the integration of computer-aided design tools with optimization algorithms, emphasizing the significance of primary and subsidiary design equations and limit equations in achieving feasible solutions.
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
References
Module VII_ Design Optimization.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Optimum Design
Definition: A design approach that systematically seeks the best solution by balancing various objectives like cost and performance.
Term: Primary Design Equation (PDE)
Definition: An equation that represents the main objective in a design optimization problem, typically focusing on maximizing or minimizing a specific attribute.
Term: Subsidiary Design Equations (SDE)
Definition: Equations that express additional constraints which a design must meet, such as stress limits and safety factors.
Term: Limit Equations
Definition: Mathematical expressions that define the permissible range of design variables based on safety and functional requirements.
Term: ComputerAided Design Optimization
Definition: The integration of CAD/CAE tools with optimization algorithms to enhance design efficiency and performance.