Numerical Simulation and Parametric Optimization of Engine/Powertrain Mounts: Identifying Key Design Variables to Reduce NVH Noise

噪音、振动和粗糙度 动力传动系统 汽车工程 钥匙(锁) 参数统计 计算机科学 噪音(视频) 严厉 工程类 振动 声学 数学 物理 计算机安全 热力学 统计 图像(数学) 扭矩 人工智能
作者
Karthikeyan Ganesan,Seonho Seok
出处
期刊:SAE technical paper series 卷期号:1
标识
DOI:10.4271/2025-01-0251
摘要

<div class="section abstract"><div class="htmlview paragraph">Engine and powertrain mounts are vital for isolating vibrations and reducing the transmission of Noise, Vibration, and Harshness (NVH) from the engine to the vehicle structure. Despite technological advancements, addressing NVH issues related to tribological factors continues to pose significant challenges in automotive engineering. This study aims to systematically identify and optimize design parameters of engine/powertrain mounts to minimize NVH levels using CAE tools and parametric optimization techniques in Abaqus and Isight, respectively. The purpose of this research is to investigate the correlation between various design parameters of powertrain mounts and their impact on NVH characteristics. Specific attention is focused on noises such as clunking, banging, or thumping that emerge from the engine bay under dynamic conditions like acceleration, braking, or turning. These sounds often occur as the engine moves excessively due to worn mounts, making unintended contact with other components and producing impact noises. This study explores these interactions, with a particular emphasis on tribological factors within the mount systems. The research utilizes Abaqus for detailed finite element simulations to model the dynamic behavior of engine mounts under operational loads. Isight is used for parametric optimization, where key variables such as mount geometry, stiffness, damping properties, and material specifications are adjusted. A multi-objective optimization function is developed to find an optimal balance between reducing NVH levels and ensuring mount durability and performance. The study includes a sensitivity analysis to prioritize the most impactful design variables, followed by optimization algorithms to refine the mount design for optimal NVH mitigation.</div></div>
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