Intelligent Design Optimization of Aerospace Mechanical Structures

Chair:
Zunyi Duan
Northwestern Polytechnical University, China

Summary:

This session focuses on the innovation of aerospace mechanical structure design and optimization methods driven by artificial intelligence technologies. It explores the application of emerging technologies such as mechanical design, intelligent algorithms, additive manufacturing, and composite materials in enhancing the performance, efficiency, and reliability of aerospace mechanical structures. The session will cover the following research directions:

[1] Utilizing artificial intelligence technologies such as machine learning and deep learning to build intelligent design models for aerospace mechanical structures, enabling automated design, performance prediction, and optimization.

[2] Combining topology optimization, size optimization, and other methods to achieve lightweight and high-performance design of aerospace mechanical structures while meeting constraints such as strength and stiffness.

[3] Exploring the application of additive manufacturing in the forming of complex aerospace mechanical structures, breaking through the limitations of traditional manufacturing processes, and improving design freedom and manufacturing efficiency.

[4] Investigating the application of composite materials in aerospace mechanical structures, leveraging their high specific strength and specific modulus to achieve weight reduction and performance optimization.

This session aims to provide a platform for researchers and engineers in the field of aerospace mechanical engineering to share the latest research results, discuss future development directions, and jointly advance the progress of intelligent aerospace mechanical structure design and optimization technologies.