白车身侧围焊接机器人焊接作业顺序优化研究

针对轿车白车身焊接机器人作业顺序不合理的问题,采用启发式的节约算法,有效地解决了焊接机器人焊接作业顺序中的最短路径问题,并实现了优化,编写了相应的程序,可以有效地进行焊接作业顺序优化计算。     

汽车车身模具的数字化快速修复技术

针对存在局部物理缺陷或疲劳磨损的汽车车身冲压模具的可重用性,提出了缺陷特征提取和有限元分析耦合技术方案,实现了模具的数字化快速修复。以抽取模具点云中诸如缺陷边界、缺陷原形等特征为基础,并利用特征诱导技术恢复原始模具在缺陷处的基本特征形态。通过冲压过程的动态模拟来矫正基本的特征形态,修复模具在局部缺陷处的CAD模型,为最终以激光焊接技术和高速硬切削技术为基础实现模具的快速物理修复提供可靠的依据。     

汽车覆盖件冲压工艺方案评价的研究

针对汽车覆盖件冲压工艺方案的特点,构建了冲压工艺方案评价指标体系,运用层次分析法建立了权重集,并根据评价指标复杂多样的特点,应用模糊评价法对各种方案进行了评价,优选出了最佳方案。通过实例证明,该评价体系的评价结果客观、合理,可满足汽车覆盖件冲压工艺方案优选的需要。     

总线式车身控制系统的规则化建模方法

提出一种新的汽车车身控制系统建模方法,采用汽车总线技术构建车身控制网络,用规则化描述方法进行建模。将组成系统的对象分解为多层,用逻辑规则表达式来描述系统对象之间的逻辑控制关系,用消息来传递控制关系。该方法易于理解和掌握,可降低系统设计与开发的难度,提高系统的可靠性和易维护性。     

Analysis of ultimate uniaxial compressive strength of stiffened panel considering influence of shear load北大核心CSCD

［Objective］This study aims to explore the law of the critical compression stress of stiffened panels under the influence of in-plane shear load, and whether in-plane shear load combined with lateral pressure will introduce a strong coupling effect. ［Method ］ To this end, nonlinear finite element (FE) software ABAQUS is used to perform numerical simulation analysis under combined loads on a group of FE models. A limit state equation/curve is then derived from the dimensionless calculation results based on the minimum square error method. ［Results］The results show that the influence law of in-plane shear load on the critical compression stress of stiffened panels is clarified, and a limit state equation of stiffened panels that considers the effect of shear load is obtained. ［Conclusion］The limit state equation in this paper can provide references for modifying the ultimate strength of stiffened panels under the influence of in-plane shear load. © 2023 Chinese Journal of Ship Research. All rights reserved.     

Cargo ship aft panel stresses prediction by deconvolution

This article introduces novel extreme value prediction method that can be used for a variety of offshore engineering applications. First, to demonstrate the novel method, fictitious data from a non-linear Duffing oscillator and measured wave heights were used as examples. The second incident included a container ship that experienced significant deck panel strains while traveling across the Atlantic Ocean in bad weather. The main concern for cargo ship transportation is potential loss of container owing to violent movements. It is challenging to model such a situation because waves and ship motions are both non-stationary and complicatedly nonlinear. Extreme motions greatly increase the role of nonlinearities, activating effects of second and higher order.Furthermore, due to the scaling and the choice of sea state, laboratory testing may also be called into doubt. Therefore, data collected from actual ships during difficult weather voyages offers a special perspective on the statistics of ship motions.This paper aims to highlight an alternative method of extrapolation that is based on intrinsic properties of the data set itself and does not assume any extrapolation functional class. Extreme value predictions typically originate from certain statistical distribution functional classes to fit the data and then extrapolate. Engineering design can make use of the unique extrapolation method that has been proposed. The proposed method's forecast accuracy has been verified in comparison to the Averaged Conditional Exceedance Rate (ACER) extrapolation method.