Curved Hull Plate Classification for Determining Forming Method using Deep Learning

IF 0.5 4区 工程技术 Q4 ENGINEERING, MARINE Journal of Ship Production and Design Pub Date : 2019-11-01 DOI:10.5957/JSPD.04180011
Byeong-Eun Kim, S. Son, C. Ryu, J. Shin
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引用次数: 2

Abstract

Curved hull plate forming, the process of forming a flat plate into a curved surface that can fit into the outer shell of a ship's hull, can be achieved through either cold or thermal forming processes, with the latter processes further subcategorizable into line or triangle heating. The appropriate forming process is determined from the plate shape and surface classification, which must be determined in advance to establish a precise production plan. In this study, an algorithm to extract two-dimensional features of constant size from three-dimensional design information was developed to enable the application of machine and deep learning technologies to hull plates with arbitrary polygonal shapes. Several candidate classifiers were implemented by applying learning algorithms to datasets comprising calculated features and labels corresponding to various hull plate types, with the performance of each classifier evaluated using cross-validation. A classifier applying a convolution neural network as a deep learning technology was found to have the highest prediction accuracy, which exceeded the accuracies obtained in previous hull plate classification studies. The results of this study demonstrate that it is possible to automatically classify hull plates with high accuracy using deep learning technologies and that a perfect level of classification accuracy can be approached by obtaining further plate data. The outer shell of a ship is composed of hull plates that are generally formed as curved surfaces. To produce a curved surface from a flat steel plate, a curved hull plate-forming process involving the application of heat or pressure to the plate must be undertaken. Such forming processes can be categorized as either cold forming, in which the plate is bent using physical pressure, or thermal forming, in which bending stress is generated by applying heat to the plate. The former process is generally used to bend plates into cylindrical shapes using a rolling machine, whereas the latter is used to form more complex curved surfaces. In most shipyards, thermal forming is performed by skilled workers who apply direct heat to plates using a torch; accordingly, thermal forming is more difficult and time-consuming than machine-based cold forming and often constitutes a crucial bottleneck process in shipyard operation.
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基于深度学习的弯曲船体板分类确定成型方法
弯曲船体板成形,即将平板成形为可嵌入船体外壳的弯曲表面的过程,可以通过冷成形或热成形工艺实现,后一种工艺可进一步细分为线加热或三角形加热。从板材形状和表面分类来确定合适的成型工艺,必须提前确定,以制定精确的生产计划。在这项研究中,开发了一种从三维设计信息中提取恒定尺寸二维特征的算法,以使机器和深度学习技术能够应用于任意多边形的船体板。通过将学习算法应用于包括计算出的特征和对应于各种船体板类型的标签的数据集,实现了几个候选分类器,并使用交叉验证评估了每个分类器的性能。应用卷积神经网络作为深度学习技术的分类器具有最高的预测精度,超过了以往船体板分类研究中获得的精度。这项研究的结果表明,使用深度学习技术可以高精度地自动对船体板进行分类,并且可以通过获得更多的板数据来接近完美的分类精度水平。船舶的外壳由通常形成为曲面的船体板组成。为了从平板钢板上产生弯曲表面,必须进行弯曲船体板的成型过程,包括对板施加热量或压力。这种成形工艺可以分为冷成形,其中使用物理压力弯曲板,或者热成形,其中通过向板施加热量产生弯曲应力。前者通常用于使用轧机将板材弯曲成圆柱形,而后者用于形成更复杂的曲面。在大多数造船厂,热成型是由熟练的工人进行的,他们使用火炬直接加热板材;因此,热成型比基于机器的冷成型更困难、更耗时,并且经常构成造船厂运营中的关键瓶颈过程。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
19
期刊介绍: Original and timely technical papers addressing problems of shipyard techniques and production of merchant and naval ships appear in this quarterly publication. Since its inception, the Journal of Ship Production and Design (formerly the Journal of Ship Production) has been a forum for peer-reviewed, professionally edited papers from academic and industry sources. As such it has influenced the worldwide development of ship production engineering as a fully qualified professional discipline. The expanded scope seeks papers in additional areas, specifically ship design, including design for production, plus other marine technology topics, such as ship operations, shipping economics, and safety. Each issue contains a well-rounded selection of technical papers relevant to marine professionals.
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