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  • Open Access

    ARTICLE

    Multi-Objective Redundancy Optimization of Continuous-Point Robot Milling Path in Shipbuilding

    Jianjun Yao*, Chen Qian, Yikun Zhang, Geyang Yu

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1283-1303, 2023, DOI:10.32604/cmes.2022.021328

    Abstract The 6-DOF manipulator provides a new option for traditional shipbuilding for its advantages of vast working space, low power consumption, and excellent flexibility. However, the rotation of the end effector along the tool axis is functionally redundant when using a robotic arm for five-axis machining. In the process of ship construction, the performance of the parts’ protective coating needs to be machined to meet the Performance Standard of Protective Coatings (PSPC). The arbitrary redundancy configuration in path planning will result in drastic fluctuations in the robot joint angle, greatly reducing machining quality and efficiency. There have been some studies on… More >

  • Open Access

    ARTICLE

    Security Data Sharing of Shipbuilding Information Based on Blockchain

    Jun Zhu1,*, Chaosong Yan2, Yinglong Ouyang3, Yao Chen4, Xiaowan Wang5

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1747-1756, 2022, DOI:10.32604/iasc.2022.026934

    Abstract The shipbuilding industry has problems such as long transaction cycles, many participating suppliers, and data sensitivity. A time-dimensional shipbuilding information security sharing scheme based on an alliance chain is proposed to solve this problem. The blockchain can better deliver value and protect user privacy, the blockchain can directly complete the instant transfer of value through smart contracts and tokens on the blockchain. We divide the program into three parts: data preprocessing, data storage, and data sharing. For data sensitivity, data confidentiality and reliability are handled separately. Aiming at the problem of user privacy leakage in data storage, a privacy-protecting blockchain… More >

  • Open Access

    ARTICLE

    Analysis and Prediction of Parallel Effect on Inherent Deformation during the Line Heating Process

    Adan Vega, Ernesto Escobar, Amaly Fong, Ninshu Ma, Hidekazu Murakawa

    CMES-Computer Modeling in Engineering & Sciences, Vol.90, No.3, pp. 197-210, 2013, DOI:10.3970/cmes.2013.090.197

    Abstract This paper describes the effect of previous heating on inherent deformation by following heating, more specifically, the case of two heating lines applied parallel to each other. The novelty of the work lies in revealing the parallel effect and how, factors such as, for example, the heating condition and the plate geometry, influence the resulting inherent deformation of parallel heating. In addition, relationships to easily get these influences are provided. The results are suitable for a wide range of heating conditions and plate thickness. More >

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