Optimal Design for the Rear-Glass Joint of an Automobile for Squeak and Rattle Noise Reduction

Baek, Keon Hee; Choi, Su Bin; Hong, Hee Rok; Jeong, Nak-Tak; Moon, Hyeong Uk; Lee, Eun Seong; Kim, Hyung Min; Choi, Sung-Uk; Suh, Myung‐Won

doi:10.1007/s12239-018-0083-3

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…The ever-growing number of electrified automobiles has encountered a significant challenge in reducing the noise, vibration, and harshness (NVH) of vehicles [1,2]. Particularly, the unwanted gap and flush in the moving parts (e.g., hood, doors, and so on) can lead to poor appearance quality and NVH issues, such as cavity and whistling noises [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Highly efficient and reliable numerical approach for predicting automotive hood displacement: consideration of composite materials and weatherstrip structures

Ryu,

Yoon,

Shin

et al. 2023

Funct. Compos. Struct.

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Automotive hood, a closure system of the engine compartment, needs to be mounted in a suitable position to avoid irregular gaps and flush when it is initially assembled. Hood panel is mounted with an elastomer part called weatherstrip that is generally made of EPDM foam material for sealing and reducing vehicle vibration and whistling noise. Since the elastomer material exhibits non-linear mechanical properties and viscoelasticity, which result in unpredictable reaction force and compression set, finite element analysis (FEA) of the automotive hood panel displacement with weatherstrip model shows low precision and long computing time. To resolve this issue, in this study, a cost-effective methodology for FEA is introduced by applying compressive stress of weatherstrip into distributed surface load in the finite element model without weatherstrip modeling. In addition, 2D FEA of the weatherstrip was performed to investigate the effect of structural parameters on the reaction force. This work demonstrates a numerical approach for predicting automotive hood displacement, considering not only the material properties but also the structural design variables of the weatherstrip. Therefore, this approach can be applied to other closer parts where it requires highly efficient yet reliable predictive results for mounting position.

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Section: Introductionmentioning

confidence: 99%

Highly efficient and reliable numerical approach for predicting automotive hood displacement: consideration of composite materials and weatherstrip structures

Ryu,

Yoon,

Shin

et al. 2023

Funct. Compos. Struct.

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show abstract

“…Squeaking is the noise emitted by the frictional movement between two body parts of the car, and rattling is the noise generated by the collision between two parts [9]. These types of noise are only determined as BSR if they are sufficiently loud to generate sound-power levels that are audible [10]. Increasing concerns about BSR noise have prompted automakers to pay attention to reduce this type of noise.…”

Section: Introductionmentioning

confidence: 99%

“…The best approach to solve the problem is to identify possible defects in the parts at the early stage of the manufacturing process, especially at the design stage. Recently, a design based on computer aided engineering (CAE) was applied to potentially identify car components that could possibly be responsible for causing BSR noise [10], such as car door seals [11], and instrument panels [12]. However, the highly complex, nonlinear, and uncertain nature of this noise, which could be caused by interactions between any of thousands of parts has thus far challenged the development of a robust detection method with CAE.…”

Section: Introductionmentioning

confidence: 99%

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

Baek

Kim

2020

Sensors

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Car body parts are sometimes responsible for irritating noise caused by assembly defects. Typically, various types of noise are known to originate from within the interior trim panels of car doors. This noise is considered to be an important factor that degrades the emotional satisfaction of the driver of the car. This research suggests an in-process inspection system consisting of an inspection workstation and a noise detection method. The inspection workstation presses down the car door trim panel by using a pneumatic pusher while microphones record the acoustic signals directly above the door trim panel and on the four sides of the workstation. The collected signals are analyzed by the proposed noise detection method after applying noise reduction. The noise detection method determines the presence of irritating noise by using noise source localization in combination with the time difference of arrival method and the relative signal strengths. The performance of the in-process noise detection system was evaluated by conducting experiments on faulty and healthy car door trim panels.

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CAE analysis of heavy truck drive axle housing based on ANSYS

2024

Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024)

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As a key component in the drive axle assembly, the performance of the drive axle housing directly affects the driving safety and transportation efficiency of the car. The strength and stiffness of the drive axle housing are important factors affecting its load-bearing capacity. Especially under overloading, insufficient strength and stiffness of the drive axle housing can lead to faults such as oil leakage, cracking at the weld seam, and fracture at the shaft head. By researching and improving the drive axle housing, it can effectively improve the driving safety and transportation efficiency of automobiles, and meet market demand. This article takes the driving axle housing of a heavy truck as an example, establishes a three-dimensional finite element analysis model, and uses computer CAE technology to analyze its structural strength using the ANSYS working platform. The analysis results indicate that they are all smaller than the allowable values for the design of the drive axle housing matrix material, and the design meets the requirements. This analysis result has been applied to design, providing practical reference and guidance for enterprises to design, manufacture, inspect, and optimize their products.

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Optimal Design for the Rear-Glass Joint of an Automobile for Squeak and Rattle Noise Reduction

Cited by 4 publications

References 8 publications

Highly efficient and reliable numerical approach for predicting automotive hood displacement: consideration of composite materials and weatherstrip structures

Highly efficient and reliable numerical approach for predicting automotive hood displacement: consideration of composite materials and weatherstrip structures

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

CAE analysis of heavy truck drive axle housing based on ANSYS

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