Forthcoming and Online First Articles

International Journal of Hydromechatronics

International Journal of Hydromechatronics (IJHM)

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International Journal of Hydromechatronics (3 papers in press)

Regular Issues

  • A novel tool condition monitoring based on Gramian angular field and comparative learning   Order a copy of this article
    by Hongche Wang, Wei Sun, Weifang Sun, Yan Ren, Yuqing Zhou, Qijia Qian, Anil Kumar 
    Abstract: Accurate tool condition monitoring (TCM) is an important part for ensuring milling quality. However, due to the cost of TCM experiment, there are few labelled and a lot unlabelled samples in training set that affect significantly the accuracy of many machine learning models. A novel method based on comparative learning (CL) and Gramian angular field (GAF) is proposed for improving the performance of TCM. The cutting force signals of each channel of all samples (including labelled and unlabelled) collected in TCM experiment are expanded to grey images by GAF, and combined with other channels to a colour image. Then, these colour images are input to the CL pre-training model to learn features. Finally, the extracted features and the few labelled samples are applied to train the ResNet18 model to obtain excellent classification results. The milling TCM experiments show that the classification precision of the proposed GAF-CL model could above 95% with small labelled samples, which is more than 19% higher than the ImageNet pre-training model
    Keywords: tool condition monitoring; TCM; comparative learning; CL; Gramian angular field; residual network.
    DOI: 10.1504/IJHM.2022.10048957
  • A mayfly optimisation method to predict load settlement of reinforced railway tracks on soft subgrade with multi-layer geogrid   Order a copy of this article
    by M.A. Balasubramani, R. Venkatakrishnaiah, K.V.B. Raju 
    Abstract: An essential consideration in constructing this retaining structure is the deterioration of geosynthetic reinforced soil (GRS) earth structures. However, artificial intelligence can solve geotechnical problems, according to the literature. This study will show that soft computing can predict geogrid-reinforced structure deformation on railway tracks. Designing and assessing a geogrid model with poor soil railroad track material is offered. An underlying soft subgrades effective bearing capacity is increased using the geogrid. AI predicts fine-grained soil deflection based on load cycles. The geogrid is managed using the mayfly optimisation algorithm (MOA), and it discovered that MOA prediction models function adequately. The performance of the suggested prediction models of geogrid reinforced deformations is assessed regarding the settlement, bearing capacity, deformation, and pressure of weak soil in the railway track. They were built by numerical analysis in MATLAB. The suggested technique is contrasted with traditional approaches like the cuttlefish algorithm (CFA), Harris Hawk optimisation (HHO), and artificial neural networks (ANN).
    Keywords: geosynthetics; geogrid; improved subgrade; mayfly optimisation algorithm; MOA; sustainable development; cuttlefish algorithm; CFA; Harris Hawk optimisation; HHO.
    DOI: 10.1504/IJHM.2023.10055033
  • Analysis and optimisation of impact wear of diesel engine needle valve assembly   Order a copy of this article
    by Lei Gang, Guanghua Huang, Haijun Yuan, Songlin Xia, Wei Tan 
    Abstract: Impact wear is one of the main factors of needle valve coupling failure. The dynamic analysis of multiple impacts of needle valve coupling is carried out to obtain the maximum contact stress when the collision is stable, and the wear analysis is carried out based on this stress. The orthogonal experimental design was used to optimise the parameters of needle valve pairs. The results show that the main factor affecting the maximum contact stress is the cone angle of needle valve body, followed by the fillet of needle valve sealing seat surface, and the cone angle difference between needle valve and needle valve body has the least influence. Compared with the original scheme, the maximum contact stress is reduced by 20.7% and the service life is obviously improved.
    Keywords: injector; needle valve coupling; impact wear; optimal design.
    DOI: 10.1504/IJHM.2022.10046787