Development of oil canning index model for sheet metal forming products with large curvature

Kim, Honglae; Lee, Seonggi; Murugesan, Mohanraj; Hong, Seokmoo; Lee, Shanghun; Ki, Juncheol; Jung, Hunchul; Kim, Naksoo

doi:10.1088/1742-6596/896/1/012064

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Oil canning is a natural feature of almost every metal roof (Graham, 2015). An over-stressed metal on a standing seam metal system is unable to maintain a flat form, leading the metal to give way and create visible waves (Kim et al, 2017). Oil canning is a metal roofing difficulty since it's tough to explain and measure.…”

Section: Problems Associated With An Existing Metal Roofingmentioning

confidence: 99%

Innovation in Green Building Technology: The Impact of Bamboo Metal Roofing

Mohammad¹,

Rahman²,

Nhari³

2022

IJARBSS

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Of late, the human population has increased tremendously, accelerated pace of development caused the depletion of resources and changes in the earth's environment. As a result, the approach to minimizing the earth's environment is that to fulfill human needs are required. One of the approaches is by use of the green building which low carbon footprint in construction as well as reduces the negative environmental damage. The current study is aligned with ongoing global efforts for sprouting robust green building technologies. Using bamboo as the main environmental-friendly material, this paper is to create enhancement in the materials of metal roofing while solving the complications (i.e., corroding, lack of proper installation, natural defects, and unsafety) that have been occurring using metal roofing in the construction industry. Therefore, this study aims to propose an innovative idea for Bamboo Metal Roofing which includes its components, manufacturing process, dimensional guide design, and potential impact. An overview of Bamboo Metal Roofing through an extensive literature review via three main databases (ie., Web of Science, Science Direct, and Scopus) was conducted. Then, the 3D model using Google SketchUp was used to visualize the concept and idea of the proposed Bamboo Metal Roofing. The findings indicated that the proposed Bamboo Metal Roofing has great potential to be marketed (i.e., local or international) due to its impact (i.e., simple, easy, and fast installation, environmentalfriendly, cost-effective (i.e., material management), and high-quality construction. Hence, it is hoped that the proposed Bamboo Metal Roofing would reduce the issues associated with the existing metal roofing as well as minimize environmental impact.

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Section: Problems Associated With An Existing Metal Roofingmentioning

confidence: 99%

Innovation in Green Building Technology: The Impact of Bamboo Metal Roofing

Mohammad¹,

Rahman²,

Nhari³

2022

IJARBSS

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Development of an index model for oil canning of steel sheet metal forming products

Kim

Al-Saeedi

Jang

et al. 2018

Int J Adv Manuf Technol

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Innovative Virtual Evaluation Process for Outer Panel Stiffness Using Deep Learning Technology

Uhm,

2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">During the vehicle lifecycle, customers are able to directly perceive the outer panel stiffness of vehicles in various environmental conditions. The outer panel stiffness is an important factor for customers to perceive the robustness of the vehicle. In the real test of outer panel stiffness after prototype production, evaluators manually press the outer panel in advance to identify vulnerable areas to be tested and evaluate the performance only in those area. However, when developing the outer panel stiffness performance using FEA (Finite Element Analysis) before releasing the drawing, it is not possible to filter out these areas, so the entire outer panel must be evaluated. This requires a significant amount of computing resources and manpower. In this study, an approach utilizing artificial intelligence was proposed to streamline the outer panel stiffness analysis and improve development reliability. A deep learning-based prediction technology was developed to predict force-displacement curves of target evaluation points from structural images extracted from the finite element model. Convolutional neural network-based prediction models for the entire outer panel systems were constructed, and the key factors influencing outer panel stiffness were identified and analyzed using the Grad-CAM technique. Additionally, an innovative virtual process was proposed, which uses AI to predict vulnerable areas in advance and perform confirmation analysis solely on those areas. The effectiveness and innovativeness of this process were verified through pilot application in the regular development stage. This process promises a 90% reduction in analysis workload for outer panel stiffness evaluation, significantly boosting vehicle development efficiency. Furthermore, it is expected to significantly improve the drawing completeness.</div></div>

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Development of oil canning index model for sheet metal forming products with large curvature

Cited by 3 publications

References 8 publications

Innovation in Green Building Technology: The Impact of Bamboo Metal Roofing

Innovation in Green Building Technology: The Impact of Bamboo Metal Roofing

Development of an index model for oil canning of steel sheet metal forming products

Innovative Virtual Evaluation Process for Outer Panel Stiffness Using Deep Learning Technology

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