Process Design of a Ball Joint, Considering Caulking and Pull-Out Strength

Sin, Bong-Su; Lee, Kwon-Hee

doi:10.1155/2014/971679

Cited by 11 publications

(2 citation statements)

References 5 publications

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“…Scanning electron microscopy of the fracture surfaces indicated fatigue as the main failure mechanism. The ball joint manufacturing process has been designed considering caulking and pull-out strength by Sin and Lee [8]. The process was simulated by flexible multibody dynamics, the caulking was evaluated qualitatively through numerical analysis and by inspecting a plastically deformed shape.…”

Section: Failure Of Ball Jointsmentioning

confidence: 99%

Automated sizing of automotive steering ball joints in parametric CAD environment using expert knowledge and feature-based computer-assisted 3D modelling

Geren

Akçalı

Unver

et al. 2022

Advanced Engineering Informatics

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Section: Failure Of Ball Jointsmentioning

confidence: 99%

Automated sizing of automotive steering ball joints in parametric CAD environment using expert knowledge and feature-based computer-assisted 3D modelling

Geren

Akçalı

Unver

et al. 2022

Advanced Engineering Informatics

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“…It is made up of a ball or bearing that swivels inside a socket. The socket is tiny enough to keep the ball in place and prevent it from falling out, but large enough to allow the ball to swivel or rotate as needed [1,2]. In many mechanical applications, the ball socket joint combines strength, flexibility, www.videleaf.com and shock absorption to help decrease wear.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Inspect 3D Ball Joint Socket Products Using 2D Convolutional Neural Network with Spatial and Channel Attention

Mustafaev¹,

Kim²

2022

Which Factors Contribute to Innovative Performance? A Case Study Applied to the Food and Beverage Industry

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Product defect inspections are extremely important for industrial manufacturing processes. It is necessary to develop a special inspection system for each industrial product due to their complexity and diversity. Even though high-precision 3D cameras are usually used to acquire data to inspect 3D objects, it is hard to use them in real-time defect inspection systems due to their high price and long processing time. To address these problems, we propose a product inspection system that uses five 2D cameras to capture all inspection parts of the product and a deep learning-based 2D convolutional neural network (CNN) with spatial and channel attention (SCA) mechanisms to efficiently inspect 3D ball joint socket products. Channel attention (CA) in our model detects the most relevant feature maps while spatial attention (SA) finds the most important regions in the extracted feature map of the target. To build the final SCA feature vector, we concatenated the learned feature vectors of CA and SA because they complement each other. Thus, our proposed CNN with SCA provides high inspection accuracy as well as it having the potential to detect small defects of the product. Our proposed model achieved 98% classification accuracy in the experiments and proved its efficiency on product inspection in real-time.

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