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International Journal of Automotive Technology > Volume 25(5); 2024 > Article
International Journal of Automotive Technology 2024;25(5): 1011-1023.
doi: https://doi.org/10.1007/s12239-024-00080-0
Shape Optimization for the Stability and Lightweighting of the Upper Sliding Rail of an Automotive Monopost Seat
Di Sun 1, Soojin Park 1, Shunhu Wang 1, Kyoungmi Hwang 2, Seonghwan Song 2, Wonjin Choi 2, Jingu Park 3, Jinho Kim 1
1Department of Mechanical Engineering , Yeungnam University
2Department of DAS Air Mobile Sector , DAS Automotive Seat
3Department of DAS Track Pumping Sector , DAS Automotive Seat
PDF Links Corresponding Author.  Jinho Kim  , Email. jinho@ynu.ac.kr
ABSTRACT
The commercialization and the subsequent widespread adoption of self-driving electric cars have allowed environmentally friendly vehicles to have more interior space than traditional gas-powered vehicles, which has, in turn, led to a growing demand for space utilization of vehicle interiors. A monopost seat is an innovative, lightweight seat designed to maximize space utilization under the seat, with the insertion of a monopost columnar structure between the monopost seat guide rail and the floorboard. However, compared to standard seats, a monopost seat leaves room for improvement when it comes to safety considerations. In our previous study, dynamic simulations of a monopost seat were performed using LS-DYNA. The results revealed that the upper slide rail was the most vulnerable component. In this study, optimal designs were generated to make the upper sliding rail more stable and lighter. To this end, PIAnO, a comprehensive optimal design program, was employed to combine the orthogonal array design of experiments with metamodel-based optimal design methods to deliver the best possible model. A series of simulations confirmed the safety of the new model, which was a significantly improved version of the existing design in terms of stability and weight.
Key Words: Automotive monopost seat, Strength analysis, Seat belt anchorage test, Design of experiments, Optimal design, LS-DYNA
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