journal article·2020-07-08Open access

Failure Life Prediction of Hub Bearing in Composite Tooling

Jeong-Woo Han, Jeong-Gil Kim, Sang-Gon Moon, In-Kyung Shin, Seung-Je Cho, Min-Seok Shin, Woo-Jin Chung, Gwan-Hee Son, Young-Jun Park

Applied Sciences· Volume 10· Issue 14

Abstract

Composite work tools have many components, and complex shapes when compared to standard tools such as rotaries and plows. In addition, the component durability for the tools is critical because the load varies severely according to the soil conditions. This study predicts the fatigue life of the hub bearing in composite work tooling. The loads acting on the tools were measured based on field tests, and the loads acting on the hub bearing were derived using the load reconstruction method. The static safety factor and fatigue life of the hub bearing, loads, and contact stress acting on the inner and outer raceways and presence of truncation were analytically predicted based on the derived loads. The fatigue life of the bearing changed depending on the preload amount of the hub bearing. The bearing life was more than 3000 h for preloads of less than 40 μm, which satisfied the target life of 1200 h. The load acting on the inner and outer raceways of the bearing decreased and then increased as the preload amount of the bearing rose. The bearing contact area, maximum contact stress, and number of balls increased as the load applied to the hub bearing rose. The fatigue life, load, contact stress, and static safety factor of the hub bearing met all requirements, and no truncation occurred on the inner and outer raceways of the bearing. The test verified the achievement of the target life of 1200 h and confirmed that there was no breakage, cracking, or deformation of the bearing.
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Research context

OpenAlex topics: Advanced machining processes and optimization · Gear and Bearing Dynamics Analysis · Mechanical Failure Analysis and Simulation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Smart Industrial Machinery, Korea Institute of Machinery and Materials, 156 Gajeongbuk-ro, Yuseong-gu, Daejeon 34103, Korea

Smart Agricultural Machinery R&D Group, Korea Institute of Industrial Technology, 119 Jipyeongseon sandan 3-gil, Baeksan-myeon, Gimje, Jeollabuk-do 54325, Korea

R&D Center, Daedong Industrial Co. Ltd., 39 Changnyeong Complex-gil, Changnyeong-eup, Changnyeong-gun, Gyeongsangnam-do 50319, Korea

Safety System R&D Group, Korea Institute of Industrial Technology, 15 Jisiksaneop-ro, Hayang-eup, Gyeongsan, Gyeongsangbuk-do 38408, Korea

Department of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea

Research Institute for Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea

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