Tire Pass by Noise Prediction Model with Tire Structure Data and Pattern Image

Yonghun Kim･Jonghun Seo･Kibum Kim (Hankook Tire and Technology)

As environmental regulations have been tightened recently, each automotive and tire companies are actively researching and developing to satisfy regulations. Among these, tire noise during driving noise in vehicles is becoming important due to the increase in contributions due to the change of evaluation method and the increase in vehicles using electric motors. This change requires high accuracy for the tire noise prediction model, which is basic to the design of the product. In this paper, we conducted a study on the complex artificial intelligence/machine learning modeling approach considering the tire -related tire parameters to the pattern image of the tire.

Prediction of Tire Pattern Noise Considering Road Surface Roughness

Takahito Sakuma･Ryota Tamada･Masaki Shiraishi (Sumitomo Rubber Industries)

There is a significant difference in tire pattern noise between rough surface roads such as ISO-compliant roads and smooth surface roads. While the prediction of pattern noise using CAE is generally carried out on smooth surface roads, there is a difference in exterior noise measurement tests that are usually conducted on rough surface roads. Therefore, we conducted a study on the prediction of pattern noise on rough surface roads using CAE.

Simple Method for Estimating Tire/Road Noise under Acceleration Torque based on Tread Block Rigidity

Satoshi Atobe (Nihon Michelin Tire)･Takashi Kondo (Toyota Motor)･Yoshinori Saito (Nihon Michelin Tire)･Masashi Komada (Toyota Motor)

This study proposes a simple method for estimating increase of tire/road noise due to acceleration torque from the rigidity of tread block. FEA or an analytical model based on mechanics of materials is utilized for the calculation of tread block rigidity. Tire-rolling noise is measured by indoor tire-alone drum tests, and increase of noise due to acceleration torque is determined. The validity of the proposed method is examined for tires with different tread block rigidity which were prototyped by adopting different tread compound.

Development of Suspension for Reducing Road Noise using Multi-objective Optimization Method with FRF Based Substructuring

Masaki Kobori･Hirotaka Shiozaki･Hiroki Aoyama･Yuki Sugiura (Mitsubishi Motors)

With the spread of electric vehicles, the engine noise is decreasing, and the importance of reducing road noise, which is making a relatively large contribution, is increasing .In this research, We developed multi-objective optimization method using FRF Based Substructuring to develop suspension strucure that reduces road noise while simultaneously achieving tradeoffs such as handling stability and weight.

Experimental Identification of Tire Modes Contributing to Dynamic Axle Load

Hironori Yamada･Keisuke Abe･Naoto Sato･Jun Tanaka (SUBARU)

A tire measurement technique was developed to determine spindle force in rolling and non-rolling, grounded and ungrounded conditions. Using the data obtained, tire modes that contribute significantly to road noise were extracted, and changes in tire characteristics due to rolling and ground contact were analyzed.

Tire/Road Noise Modeling with Considering Acceleration for Exterior Noise Prediction

Ayumu Yanagibayashi･Yoshihiro Shirahashi･Kai Kurihara (Kanagawa University)･Masayuki Wada (Nissan Motor)･Toru Yamazaki (Kanagawa University)

In recent years, the penetration rate of EV has been increasing, and the contribution of tire/road noise to vehicle noise has been increasing.Therefore, the cause of tire torque noise, which is the noise caused by the effect of tire torque during acceleration, was considered, and a source model was constructed using the dimensions of the tread blocks.The influence of tire torque noise to road traffic noise was also clarified.