Hyundai Motors Company, 165-24, Hyundaiyeonguso-ro, Namyang-eup, Hwaseong-si, Gyeonggi-do, Republic of Korea.
Department of Engineering, Smart Vehicle Engineering, Wonkwang University, 460, Iksan-daero, Iksan-si, Jeollabuk-do, Republic of Korea.
Sci Rep. 2022 Jul 28;12(1):12884. doi: 10.1038/s41598-022-16645-x.
In this study, virtual product development method for reducing vibration and noise is proposed for designing at the concept development stage of a vehicle. To this end, the vibration characteristics of the system are predicted through the Lagrange-multiplier frequency-based substructuring technique. The concepts of contact, blocked and transmitted force, and force transmissibility were used for determining the improvement subsystem or combination of subsystems when using the modular platform. Moreover, after the subsystems to be improved were determined, Artificial Neural Network was used as a method of predicting vibration characteristics according to the change of design variables. To verify this, the prediction of the blocked force was performed by changing the young's modulus of the simplified substructure. Finally, the reduction in response was confirmed by applying the blocked force of the simplified subframe to the simplified structure, and a vehicle development process using a database at the concept setting stage is proposed.
本研究提出了一种用于车辆概念开发阶段设计的减少振动和噪声的虚拟产品开发方法。为此，通过基于拉格朗日乘子的频域子结构技术对系统的振动特性进行预测。在使用模块化平台时，接触、阻塞和传递力以及力传递率的概念用于确定改进子系统或子系统组合。此外，在确定要改进的子系统后，人工神经网络被用作根据设计变量的变化来预测振动特性的方法。为了验证这一点，通过改变简化子结构的杨氏模量来执行阻塞力的预测。最后，通过将简化子框架的阻塞力应用于简化结构来确认响应的减少，并提出了一种在概念设置阶段使用数据库的车辆开发过程。
