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  • Open Access


    MD Simulation of Diffusion Behaviors in Collision Welding Processes of Al-Cu, Al-Al, Cu-Cu

    Dingyi Jin1, Guo Wei2,*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3455-3468, 2024, DOI:10.32604/cmc.2024.048644

    Abstract To investigate the effects of material combinations and velocity conditions on atomic diffusion behavior near collision interfaces, this study simulates the atomic diffusion behavior near collision interfaces in Cu-Al, Al-Al and Cu-Cu combinations fabricated through collision welding using molecular dynamic (MD) simulation. The atomic diffusion behaviors are compared between similar metal combinations (Al-Al, Cu-Cu) and dissimilar metal combinations (Al-Cu). By combining the simulation results and classical diffusion theory, the diffusion coefficients for similar and dissimilar metal material combinations under different velocity conditions are obtained. The effects of material combinations and collision velocity on diffusion behaviors More >

  • Open Access


    Nonlinear Study on the Mechanical Performance of Built-Up Cold-Formed Steel Concrete-Filled Columns under Compression

    Oulfa Harrat1,*, Yazid Hadidane1, S. M. Anas2,*, Nadhim Hamah Sor3,4, Ahmed Farouk Deifalla5, Paul O. Awoyera6, Nadia Gouider1

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3435-3465, 2024, DOI:10.32604/cmes.2023.044950

    Abstract Given their numerous functional and architectural benefits, such as improved bearing capacity and increased resistance to elastic instability modes, cold-formed steel (CFS) built-up sections have become increasingly developed and used in recent years, particularly in the construction industry. This paper presents an analytical and numerical study of assembled CFS two single channel-shaped columns with different slenderness and configurations (back-to-back, face-to-face, and box). These columns were joined by double-row rivets for the back-to-back and box configurations, whereas they were welded together for the face-to-face design. The built-up columns were filled with ordinary concrete of good strength.… More > Graphic Abstract

    Nonlinear Study on the Mechanical Performance of Built-Up Cold-Formed Steel Concrete-Filled Columns under Compression

  • Open Access


    DGConv: A Novel Convolutional Neural Network Approach for Weld Seam Depth Image Detection

    Pengchao Li1,2,3,*, Fang Xu1,2,3,4, Jintao Wang1,2, Haibing Guo4, Mingmin Liu4, Zhenjun Du4

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1755-1771, 2024, DOI:10.32604/cmc.2023.047057

    Abstract We propose a novel image segmentation algorithm to tackle the challenge of limited recognition and segmentation performance in identifying welding seam images during robotic intelligent operations. Initially, to enhance the capability of deep neural networks in extracting geometric attributes from depth images, we developed a novel deep geometric convolution operator (DGConv). DGConv is utilized to construct a deep local geometric feature extraction module, facilitating a more comprehensive exploration of the intrinsic geometric information within depth images. Secondly, we integrate the newly proposed deep geometric feature module with the Fully Convolutional Network (FCN8) to establish a… More >

  • Open Access


    Micromechanical Study of Heterogenous Deformation of Austenitic Stainless Steel Welded Joints at Different Temperatures

    Lifeng Gan1, Baoyin Zhu2, Chao Ling1,*, Esteban P. Busso1, Dongfeng Li1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010397

    Abstract Heat-resistant austenitic stainless steels are widely used in the final stages of superheater and reheater in in the new generation of fossil fuel power stations, due to their high creep strength. Similar weld joints, fabricated using gas tungsten arc welding, for connecting different components made of the heat resistant austenitic stainless steels usually suffer from premature failures at elevated temperature [1]. Experimental studies showed that cracks may nucleate in the heat affected zone or weld metal of the similar welded joints under service conditions. In order to reveal the physical origin of unexpected failures of… More >

  • Open Access


    Automatic Extraction Method of Weld Weak Defect Features for Ultra-High Voltage Equipment

    Guanghua Zheng1,2, Chaolin Luo1,3, Mengen Shen1,*, Wanzhong Lv4, Wenbo Jiang4, Weibo Yang2

    Energy Engineering, Vol.120, No.4, pp. 985-1000, 2023, DOI:10.32604/ee.2023.024372

    Abstract To solve the problems of low precision of weak feature extraction, heavy reliance on labor and low efficiency of weak feature extraction in X-ray weld detection image of ultra-high voltage (UHV) equipment key parts, an automatic feature extraction algorithm is proposed. Firstly, the original weld image is denoised while retaining the characteristic information of weak defects by the proposed monostable stochastic resonance method. Then, binarization is achieved by combining Laplacian edge detection and Otsu threshold segmentation. Finally, the automatic identification of weld defect area is realized based on the sequential traversal of binary tree. Several More >

  • Open Access


    A Review of the Advances Made in Improving the Durability of Welded Wood against Water in Light of the Results of African Tropical Woods Welding

    Jean Jalin Eyinga Biwôlé1,4,*, Achille Bernard Biwolé1, Antonio Pizzi4,*, Joseph Zobo Mfomo1, César Segovia3, Atangana Ateba2, Evariste Fedoung Fongnzossie1, Sahbi Ouertani4,5, Xinyi Chen4, Bénoît Ndiwe1,2, Dieudonné Abessolo1,2, Pierre-Jean Meausoone4

    Journal of Renewable Materials, Vol.11, No.3, pp. 1077-1099, 2023, DOI:10.32604/jrm.2023.024079

    Abstract Wood plays a major role in the production of furniture and wooden structures. Nevertheless, in this process, the massive use of adhesives and plural connectors remains a definite problem for health and the environment. Therefore, wood welding is a breakthrough in this respect. This paper reviews the applications of wood welding in furniture and construction and then examines advances in improving the durability of welded wood against water. Our contribution also highlights the need to join African tropical woods using the rotational friction welding technique. According to our results, these woods present interesting chemical singularities, More >

  • Open Access


    Causes of the Water Resistance of Welded Joints of Paduk Wood (Pterocarpus soyauxii Taub.)

    T. Ganier, J. Hu, A. Pizzi*

    Journal of Renewable Materials, Vol.1, No.1, pp. 79-82, 2013, DOI:10.7569/JRM.2012.634101

    Abstract Linear vibration welding of extractive rich Paduk wood from central Africa containing a high proportion of a native mixture of water-insoluble extractives, or of low water solubility, has been shown to yield joints of much upgraded water resistance. This has been shown to be due to the protecting infl uence the extractives from the wood itself has on the welded interphase, due to their inherent water repellence. Joints of unusually high percentage wood failure but modest strength were obtained; Paduk wood brittleness apparently yielding weld line strengths always higher than that of the surrounding wood More >

  • Open Access


    Research on Welding Quality Traceability Model of Offshore Platform Block Construction Process

    Jinghua Li1,2, Wenhao Yin2, Boxin Yang1,*, Qinghua Zhou1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 699-730, 2023, DOI:10.32604/cmes.2022.020811

    Abstract Quality traceability plays an essential role in assembling and welding offshore platform blocks. The improvement of the welding quality traceability system is conducive to improving the durability of the offshore platform and the process level of the offshore industry. Currently, quality management remains in the era of primary information, and there is a lack of effective tracking and recording of welding quality data. When welding defects are encountered, it is difficult to rapidly and accurately determine the root cause of the problem from various complexities and scattered quality data. In this paper, a composite welding… More >

  • Open Access


    Contrast Correction Using Hybrid Statistical Enhancement on Weld Defect Images

    Wan Azani Mustafa1,2,*, Haniza Yazid3, Ahmed Alkhayyat4, Mohd Aminudin Jamlos3, Hasliza A. Rahim3, Midhat Nabil Salimi5

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5327-5342, 2022, DOI:10.32604/cmc.2022.023492

    Abstract Luminosity and contrast variation problems are among the most challenging tasks in the image processing field, significantly improving image quality. Enhancement is implemented by adjusting the dark or bright intensity to improve the quality of the images and increase the segmentation performance. Recently, numerous methods had been proposed to normalise the luminosity and contrast variation. A new approach based on a direct technique using statistical data known as Hybrid Statistical Enhancement (HSE) is presented in this study. The HSE method uses the mean and standard deviation of a local and global neighbourhood and classified the… More >

  • Open Access


    Nonlinear Identification and Control of Laser Welding Based on RBF Neural Networks

    Hongfei Wei1,*, Hui Zhao2, Xinlong Shi1, Shuang Liang3

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 51-65, 2022, DOI:10.32604/csse.2022.017739

    Abstract A laser beam is a heat source with a high energy density; this technology has been rapidly developed and applied in the field of welding owing to its potential advantages, and supplements traditional welding techniques. An in-depth analysis of its operating process could establish a good foundation for its application in China. It is widely understood that the welding process is a highly nonlinear and multi-variable coupling process; it comprises a significant number of complex processes with random uncertain factors. Because of their nonlinear mapping and self-learning characteristics, artificial neural networks (ANNs) have certain advantages… More >

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