In recent years, the Finite Element Method (FEM) has emerged as a cornerstone in the field of seating design, particularly within the aircraft industry. Over the past decade, significant advancements in Finite Element (FE) analysis techniques have revolutionized the seat industry, enabling the creation of safer and more cost-effective seat designs. The accuracy of FE analysis plays a pivotal role in this transformation. In the process of constructing a reliable finite element model, the selection and precise manipulation of key parameters are paramount. These crucial parameters encompass element size, time scale, analysis type, and material model. Properly defining and implementing these parameters ensures that the FE model produces accurate results, closely mirroring real-world performance. Verification of Finite Element Analysis (FEA) results is commonly accomplished through experimental methods. Notably, when the parameters are appropriately integrated into the modelling process, FE analysis outcomes closely align with experimental results. This study aims to leverage the power of FEM in performing static stress analysis and topology optimization of aircraft seats using the SOLIDWORKS commercial finite element platform. By simulating loading conditions, this research calculates static stresses and displacements experienced by the aircraft seat. Through a comprehensive topology optimization study, the weight of the airplane seat is remarkably reduced by up to 30%, while still prioritizing passenger safety. The success of this optimization showcases the potential for substantial weight savings in aircraft seat design without compromising safety standards.
Finite Element Method (FEM) Aircraft Seat Industry FE Analysis Static Stress Analysis Topology Optimization Experimental Validation Material Model Safety Standards Weight Reduction Seating Design.
University of Salford
Primary Language | English |
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Subjects | Optimization Techniques in Mechanical Engineering, Numerical Methods in Mechanical Engineering |
Journal Section | Research Article |
Authors | |
Early Pub Date | April 24, 2024 |
Publication Date | June 20, 2024 |
Submission Date | February 28, 2024 |
Acceptance Date | March 15, 2024 |
Published in Issue | Year 2024 |