Designing Helical Compression Springs for Stringent Requirements Using Design Optimization скачать в хорошем качестве

Designing Helical Compression Springs for Stringent Requirements Using Design Optimization

This video lecture introduces students in SE 410, a course on machine and structural component and system design, to engineering design optimization (EDO) as a potentially helpful strategy for design problems where design requirements are difficult to meet. The assigned helical compression spring design problem involves multiple competing requirements, such as geometric packaging, mechanical failure (fatigue, dynamic properties), and stiffness and travel requirements. While this problem has only four design variables, these quantities are tightly coupled to each other through nonlinear relationships. The strong design coupling, along with the stringent design requirements, results in a design problem where it is nearly impossible to rely only on manual tuning based on expert intuition for spring design. EDO is introduced as one possible systematic design method that can help navigate complicated design spaces like this where very few designs are feasible. EDO not only helps to find feasible designs rapidly, but it also helps designers find optimal designs (minimal mass in this case), and provides a powerful tool for rapid redesign if other aspects of the overall system design and the spring design requirements need to be modified.