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高强度钢板成型的偏移智能预测适用于减少船舶重量
Shun Wang1, Jinliang Dai1, Zhikang Xu1
1Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian 116026, China.
Materials (Basel, Switzerland)
|September 9, 2023
概括
这项研究开发了两种模型,用于预测高强度钢板成型中的变形. 一个支向量机器模型准确地预测了偏移,有助于制造海洋结构.
科学领域:
- 海军建筑和海洋工程
- 材料科学与工程 材料科学与工程
- 计算力学 计算力学 计算力学
背景情况:
- 高强度钢板减轻船舶重量,马板是常见的双曲船体部件.
- 准确预测变形对于这些复杂结构的有效形成至关重要.
- 现有的研究缺乏对高强度钢座板变形的全面模型.
研究的目的:
- 建立稳健的预测模型,用于位板形成变形,特别是曲.
- 分析几何和成形参数对高强度钢板偏斜的影响.
- 开发一个智能预测系统,准确地推断偏移数据.
主要方法:
- 对高强度钢板的线路加热影响因素的分析.
- 开发一个多重线性回归模型,将偏移与几何和成形参数相关联.
- 在Python中实现基于支持向量机 (SVM) 的智能预测程序.
主要成果:
- 多重线性回归模型在数据插值中取得的误差不到5%.
- 基于SVM的智能预测模型显示数据外推的误差不到5%.
- 确定了影响板偏斜的关键几何和成形参数.
结论:
- 开发的SVM模型提供了一个可靠的解决方案,用于预测高强度钢板成型中的屈曲,特别是用于推断.
- 这项研究为自动化海洋马板成形过程提供了必要的数据支持.
- 这些发现有助于优化造船工艺和材料利用.
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