Forthcoming and Online First Articles

International Journal of Hydromechatronics

International Journal of Hydromechatronics (IJHM)

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International Journal of Hydromechatronics (10 papers in press)

Regular Issues

  • Accurate computational modelling for impacts of microcapsule size and interfacial fracture properties on the fracture of self-healing concrete   Order a copy of this article
    by John Hanna 
    Abstract: The fracture of microcapsules in the encapsulation-based self-healing concrete is the most important aspect to release the healing agents and hence heal the cracks. This paper studied computationally the impacts of the microcapsule size and the interfacial fracture proprieties between the microcapsule and the concrete on the fracture mechanism of the self-healing concrete (SHC). The proposed modelling combined the extended finite element method (XFEM) and cohesive surface technique to model the fracture of uniaxial tensile test SHC specimens. When compared to the zero thickness cohesive element approach on the same specimens, the proposed model shows high accuracy in determining load carrying capability and fracture pattern. The interfacial fracture properties and core-shell thickness of the microcapsule determine whether it fractures or debonds. The microcapsule with the thinnest shell is more likely to be fractured.
    Keywords: self-healing concrete; SHC; microcapsule; encapsulation-based self-healing concrete; computational fracture modelling; extended finite element method; XFEM; cohesive surface; interfacial fracture properties; microcapsule core-shell ratio.
    DOI: 10.1504/IJHM.2022.10046752
  • Study on high frequency response characteristics of a moving-coil-type linear actuator using the coils combinations   Order a copy of this article
    by Yueyu Wu, Mengdi Liu, Gong Zhang, Zhicheng Hou, Qunxu Lin, Hai Yuan 
    Abstract: This paper addresses the problem of dynamic characteristics of a moving-coil-type linear actuator (MctLA) to satisfy the requirements of higher output electromagnetic force and faster response time. A novel coils combination approach is presented because the time constant and the electrified currents are highly relevant to the resistance and the inductance. A general coil is divided into several segments and then used in parallel and series so that three different combinations of the electrified coils are developed. A mathematical model related to the output electromagnetic force, displacement response time, acceleration of the proposed MctLA is presented, respectively. Simulations results show that if the electrified coils are divided into three sections and used in parallel, the dynamic and static performances of the proposed MctLA are greatly improved. Numerical simulation and experimental results prove the usefulness of the electrified coils combinations approach, and the proposed MctLA can display high frequency response characteristics.
    Keywords: inear actuator; moving coil type; coils combinations; high frequency response; experimental investigation.
    DOI: 10.1504/IJHM.2022.10047257
  • Surrogate models in machine learning for computational stochastic multi-scale modelling in composite materials design   Order a copy of this article
    by Bokai Liu, Weizhuo Lu 
    Abstract: We propose a computational framework using surrogate models through five steps, which can systematically and comprehensively address a number of related stochastic multi-scale issues in composites design. We then used this framework to conduct an implementation in nano-composite. Uncertain input parameters at different scales are propagated within a bottom-up multi-scale framework. Representative volume elements in the context of finite element modelling (RVE-FEM) are used to finally obtain the homogenised thermal conductivity. The input parameters are selected by a top-down scanning method and subsequently are converted as uncertain inputs. Machine learning approaches are exploited for computational efficiency, where particle swarm optimisation (PSO) and ten-fold cross validation (CV) are employed for hyper-parameter tuning. Our machine learning prediction results agree well with published experimental data, which proves our computational framework can be a versatile and efficient method to design new complex nano-composites.
    Keywords: surrogate models; data-driven modelling; DDM; machine learning; stochastic multi-scale modelling; polymeric nanotube composites; PNCs.
    DOI: 10.1504/IJHM.2022.10047396
  • TCM in milling processes based on attention mechanism-combined long short-term memory using a sound sensor under different working conditions   Order a copy of this article
    by Guoxiao Zheng, Wei Chen, Qijia Qian, Anil Kumar, Weifang Sun, Yuqing Yuqing Zhou 
    Abstract: Tool condition monitoring (TCM) is essential for the milling process to ensure machining quality, and several deep learning (DL)-based methods have been proposed to obtain good regression accuracy for TCM, such as RNN and LSTM. Unfortunately, the performances of these DL-based methods are not good enough under different working conditions. A novel method combing attention mechanism and long short-term memory (LSTM) is proposed. Firstly, sound time series signal obtained from a machining process is converted into several feature sequences, and these feature sequences are input to the attention mechanism-combined LSTM (AMLSTM) to train the weight of the feature sequences. Finally, the trained AMLSTM model with the optimal weight of the feature can be used to estimate the tool wear value. The application of the proposed method in milling TCM experiments shows that the AM-LSTM-based method is significantly better than SVR-based, RNN-based, and LSTM-based methods under different working conditions. Moreover, skewness and kurtosis are two important features for TCM.
    Keywords: tool condition monitoring; TCM; long short-term memory network; attention mechanism.
    DOI: 10.1504/IJHM.2022.10047740
  • Vision-guided manipulator operating system based on CSRT algorithm   Order a copy of this article
    by Suwan Bu, Liang Yan, Xiaoshan Gao, Peiran Zhao, Chee Kian Lim 
    Abstract: This paper proposed a vision guided robot operating system based on channel and spatial reliability tracker (CSRT) algorithm to improve its environmental adaptability. Firstly, the kinematics and inverse kinematics models of the manipulator are deduced, and the transformation matrices of position and orientation between the joint axes are obtained. Then the imaging model and distortion model of the camera are established, and the whole manipulator system is calibrated. The transformation matrix between pixel coordinate system and base coordinate system is obtained. Following that, the target position is determined and tracked by CSRT algorithm. Two experiments are conducted on the developed CSRT algorithm. One validated the adaptability of CSRT algorithm to the environment under normal and weak light conditions, and the other show that the visual guided manipulator grasping system with the algorithm can complete the grasping task well.
    Keywords: visual guidance; CSRT algorithm; manipulator grasping; system calibration.
    DOI: 10.1504/IJHM.2022.10048011
  • Rolling bearing fault diagnosis based on VMD reconstruction and DCS demodulation   Order a copy of this article
    by Dong Zhen, Dongkai Li, Guojin Feng, Hao Zhang, Fengshou Gu 
    Abstract: As a major component of rotating machinery, rolling bearings are prone to failure because they usually work in harsh environment and are subjected to heavy cyclic loads. Meanwhile, the fault characteristics of bearings are easily submerged by noise and difficult to extract. To solve this problem, a fault diagnosis method based on variational mode decomposition (VMD) and degree of cyclostationarity (DCS) demodulation is proposed. First, the sparsity-based reconstruction factor can distinguish the sensitivity of VMD modes, and it is used to reconstruct all VMD modes to denoise the signal. Secondly, taking the advantage that DCS demodulation analysis can obtain more useful information, it is applied to the reconstructed signal to extract the fault characteristic frequencies. Finally, simulation studies show the effectiveness of combining VMD and DCS in fault diagnosis, and the advantages of the proposed method are verified through experiments with rolling bearing inner race, outer race and compound faults.
    Keywords: sparsity; DCS demodulation; rolling bearing; fault diagnosis; variational mode decomposition; VMD.
    DOI: 10.1504/IJHM.2022.10048012
  • Battery energy storage system control and integration strategy for the more electric aircraft DC grid application   Order a copy of this article
    by Habibu Hussaini, Cheng Wang 
    Abstract: In this paper, a strategy for the control and integration of battery energy storage system (BESS) for the more electric aircraft (MEA) electrical power system (EPS) application is proposed. The MEA DC EPS considering a single source and a battery storage system in the MEA is studied in this paper. The BESS is integrated into the MEA EPS distribution network DC bus (270 V) using the bidirectional DC-DC converter. The battery and the PMSG are linked to the same DC bus through a DC-DC converter and an AC/DC converter, respectively. The BESS can be used to power some onboard loads during an emergency, and to provide or absorb power when there is load variation. Therefore, the control of the BDC with fast dynamic response is required. Consequently, a strategy for the fast response control of the inductor current is implemented.
    Keywords: battery energy storage; bidirectional converter; control strategy; DC grid; integration; more electric aircraft; MEA.
    DOI: 10.1504/IJHM.2022.10048307
  • A review article: isogeometric boundary element analysis in engineering applications   Order a copy of this article
    by Ahmed Mostafa Shaaban 
    Abstract: Isogeometric analysis (IGA) in the framework of the boundary element method (BEM) is reviewed in this paper. IGA is a fundamental tool in computational mechanics which enables integrating computer aided design (CAD) directly with analysis methods. This allows reducing the total computational time with obtaining accurate results. Coupling IGA with BEM benefits from the basic features of BEM in analysing infinite domains without defining truncation boundaries in addition to the ability of modelling only the boundary reducing the dimensionality of the problem. The resulting model (IGABEM) can be implemented in several engineering applications. IGABEM can be enriched by the partition of unity forming the eXtended isogeometric analysis (XIBEM) to widen the computational domain. IGABEM can be also proposed to model fine geometric details utilising adaptive IGA with performing local refinement using the globally C1 -continuous basis functions.
    Keywords: boundary element method; BEM; isogeometric analysis; IGABEM; partition of unity; enrichment; spline; NURBS; T-splines.
    DOI: 10.1504/IJHM.2022.10048374
  • Micro drilling of PMMA with double-pulse femtosecond laser   Order a copy of this article
    by Jiaqun Li, Hongfei Shang, Jianfeng Ya, Ming Qiao, Jiachen Yu, Dezhi Zhu, Chao He 
    Abstract: Micro holes drilling in polymers have a variety of applications in industry and research. Especially, the fabrication of microhole with high aspect ratio is a key technology for advanced applications. In this work, we report an improvement in drilling on poly-methyl methacrylate (PMMA) by using double-pulse femtosecond laser. Compared to single pulse, the achievable depth by double pulses can be increased by 50% when the pulse delay is 100fs and gradually decreases with delay increasing. The depth evolution with the increasing of pulse number is investigated. When the micro hole depth reaches a certain value, the processing speed of double pulse is less restricted than single pulse. Furthermore, the relationship between the depth improvement and electrons decay together with absorption increasement is studied.
    Keywords: micro holes drilling; polymers; femtosecond laser; double pulses; high aspect ratio.
    DOI: 10.1504/IJHM.2022.10048784
  • 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