Journal of Mechatronics and Artificial Intelligence in Engineering
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Advancing product and process innovation through knowledge-sharing networks among European industrial SMEs
Get PDFA methodical approach is created in this study to aid SMEs across Europe (Turkiye, UK, Belgium, Italy) in their product and process development endeavors. Methods and processes that must be followed are examined and streamlined, starting from the point of client contact, and ending with establishment of a pilot production line. This study provides strategies to help technicians and engineers create excellent product designs. Though most of the concepts and methods it will produce are anticipated to be applicable to the design of all types of goods, its primary focus is on the engineering-related aspects of product design. The formulation of problems and the conceptual and embodiment phases of design are the main topics of this work. It will support designers in SMEs with problem identification, explanation, and generation and assessment of solutions. To understand their approach and issues, a thorough search in this field is conducted, along with interviews with multiple SMEs. Additionally, to ascertain the SMEs’ network architecture and how their technical employees interact inside these organizations in a way that supports the creation of new products. This will demonstrate these SMEs' advantages or strengthen their creative positions in the face of global competition
Editor’s Letter. Jaw Functional Orthopedics courses. With the standard of social media, is chaos installed?
Get PDFCFD analysis of model rocket using the VDI 2206 approach
Get PDFA model rocket system serves as an excellent example of a mechatronic system, integrating mechanical, electrical, and control components. Computational Fluid Dynamics (CFD) plays a critical role in mechatronic system design by enabling the analysis and optimization of fluid interactions within these integrated systems. In rocket design, the accurate assessment of aerodynamic forces – thrust, weight, drag, and lift – is essential for optimizing performance. CFD analysis is employed to determine the drag coefficient (Cd) and lift coefficient (Cl), both of which contribute to improving the rocket's aerodynamic efficiency. CFD is a powerful tool for evaluating key aerodynamic parameters such as velocity, pressure, and temperature while also identifying and mitigating design flaws to enhance overall performance. This study examines the model rocket system from a mechatronic system design perspective, evaluating three different mesh structures in two- and three-dimensional CFD simulations to determine the most suitable configuration. The accuracy of the mesh depends on factors such as element size, quality metrics (skewness, orthogonal quality), and first-layer thickness. A well-refined mesh that adheres to these criteria significantly enhances the reliability of the simulation results, ensuring more precise aerodynamic analysis and performance optimization. The analysis results obtained in this study indicate that the rocket’s nose cone and the area around the wings are subjected to the highest forces, and that mechanical and structural improvements are needed in these areas
Magnetoelectrochemical theory of metabolism and life is a new trend in complexity in health sciences
Get PDFIn 2018, research was initiated to investigate the role of electromagnetic processes in human metabolism. This theoretical research is part of the research work of the Department of Internal Medicine and Emergency Medicine of Poltava State Medical University (23, Shevchenko St., 36011, Poltava, Ukraine) on “Development of algorithms and technologies for implementing a Healthy Lifestyle in patients with Non-Communicable Diseases (NCDs) based on the study of functional status” (state registration number 0121U108237: UDC 613 616-056-06: 616.1/9-03). The results of this work were embodied in the conceptualization of the Magnetoelectrochemical Theory of Metabolism and Life. The purpose of this article is to present to the academic community brief information about the results of the research work carried out in this direction for the further development of these scientific ideas and their integration into the scientific paradigm. Conclusions: 1) Magnetoelectrochemical Theory of Metabolism and Life is a new trend in Complexity in Health Sciences. 2) The biophysical direction of development of modern medicine opens up new ways to solve the problems of diseases of internal organs. 3) Knowledge of the fundamental aspects of electromagnetic communication of cells of the human body is a new basis for deepening the fundamental knowledge of the pathogenesis of diseases of internal organs, and this is a new promising direction for further research. 4) Bioelectronic Medicine, as a new component of medical science, is based on and directs therapeutic influence on the quantum levels of the structure and functioning of the human body. 5) The initiative educational and scientific project “Bioelectronic Medicine or Look at Medicine Differently” is a practical attempt in the conditions of the scientific present to find a way to change the scientific paradigm and popularize the latest knowledge among the academic community of the biomedical direction. 6) The practical application of this knowledge opens up new avenues for the further development of Magnetobiology, Internal Medicine, Microbiology, and Traditional Medicine. It can ensure progress in the treatment of diseases of internal organs, whether infectious or non-infectious in origin
Multi-parameter inversion of concrete face rockfill dam using wild horse optimizer and optimal polynomial chaos kriging
Get PDFStructural parameter inversion is essential for monitoring and assessing the risks of concrete face rockfill dams. Current parameter inversion techniques are, however, often overly complex, computationally demanding, and inefficient, especially when the dam is simulated with a 3D nonlinear finite element method. This study proposes a novel approach combining the Wild Horse Optimizer with Optimal Polynomial Chaos Kriging (WHO_OPCK) to tackle these issues. The method benefits from the low computational cost of optimal polynomial chaos kriging and the fast convergence of the wild horse optimizer. By incorporating statistical uncertainty in input parameters, the method successfully inverts four key constitutive parameters φ, Kb, K, and Rf based on displacement data from a complex dam. The approach proves practical and cost-effective in real engineering applications and has culminated in the development of specialized software that streamlines this structural parameter inversion process. Sensitivity analysis using Sobol’ indices further highlights the importance of each parameter at a low computational cost. The study highlights two key advantages of WHO_OPCK: (i) Unlike traditional methods that struggle with complex dams, WHO_OPCK significantly reduces computational costs and handles parameter determination efficiently. (ii) Compared to other surrogate model combinations with WHO, the proposed WHO_OPCK method offers superior accuracy and efficiency. This method establishes a solid foundation for multi-parameter inversion in concrete face rockfill dams
Improved cubature Kalman filter for vehicle state estimation and measurement
Get PDFThe accurate estimation of vehicle state parameters has a significant impact on the active safety system of automobiles. Accurately obtaining vehicle operating parameters is the foundation and prerequisite for active safety control of vehicles. In response to the limited estimation accuracy of the traditional CKF method, the CKF was extended to fifth-order according to the third-order sphere-radius cubature rule, making it have the accuracy of fifth-order Taylor series expansion. At the same time, singular value decomposition was used instead of traditional Cholesky decomposition to form a fifth-order cubature Kalman filter (SVD-FCKF) estimator for singular value decomposition. Then, the SVD-FCKF was validated using the Carsim and Matlab/Simulink joint simulation platform. Finally, the effectiveness of the proposed method was verified through virtual experiments. The results show that the improved SVD-FCKF estimator can effectively improve the accuracy and stability of vehicle state estimation, with overall estimation performance better than the CKF estimator and has strong adaptability under high and low adhesion coefficient conditions. The research results can provide theoretical support for the active safety research of intelligent vehicles and have practical application value
Design and simulation verification of differential spiral bevel gear transmission based on baja off-road vehicle
Get PDFThe differential spiral bevel gear of Baja off-road vehicle is designed and verified. Based on the competition rules and vehicle transmission parameters, the key geometric parameters of the gear pair are determined, and the three-dimensional model and finite element analysis software are established by UG for static contact analysis and modal analysis. The results show that the maximum contact stress of the tooth surface is 411.4 MPa, and the natural frequency of the gear pair is much higher than the excitation frequency of the system, which can effectively avoid the resonance risk. Through analysis and verification, it meets its application conditions
Data analytics-based model for optimizing cationic retarder and acetic acid in polyacrylic yarn dyeing
Get PDFThe study aims to develop a model for optimizing the concentration of solution parameters in the dyeing process of polyacrylic yarns. Specifically, the study examines the use of cationic retaiders and acetic acid, which affect the wavelength as an indicator of yarn color aging. By optimizing these parameters, the objective is to improve the color stability and longevity of dyed polyacrylic yarns. The application of Response Surface Methodology (RSM) encompassed two distinct types of data distribution properties: linear and non-linear. The R-squared (R2) value for the non-linear RSM model was 0.96, compared to 0.86 for the linear RSM model. These results indicate that the model formed based on the non-linear RSM offers superior predictive ability in optimizing solution concentration as a parameter in the polyacrylic yarn dyeing process compared to the linear RSM-based model. In addition to providing practical implications for textile practitioners, this study contributes theoretically by emphasizing the effectiveness of statistical methods such as RSM in manufacturing process analysis
Feature extraction of rolling bearing based on adaptive variational multi-harmonic mode extraction
Get PDFVariable multi-harmonic mode extraction (VMHME) not only has the advantages of high computational efficiency and extraction accuracy similar to variational mode extraction (VME), but also could extract the multi-harmonic components of periodic narrowband impulse signals in frequency band as wide as possible, making it very suitable for feature extraction in the event of rolling bearing failure. VMHME needs to accurately estimate the fault characteristic frequency of rolling bearing as its prior parameter, and small errors in estimating the fault characteristic frequency will cause significant deviations in the target extraction components. At present, the theoretical fault characteristic frequency of rolling bearings is commonly used as the estimated fault characteristic frequency. However, due to the installation deformation of rolling bearings and the random sliding between the rolling elements and the raceway during operation, it can cause a deviation between the actual fault characteristic frequency and the theoretical fault characteristic frequency. The most scientific and effective method is to enable VMHME to adaptively obtain the fault characteristic frequency based on the characteristics of the analyzed signal itself. Therefore, this paper introduces the envelope harmonic product spectrum (EHPS) theory into VMHME and proposes an adaptive VMHME (AVMHME) method to effectively extract the multi harmonic components of the periodic narrowband impulse signal when rolling bearings fail. Feasibility of the proposed method is verified through simulation and rolling bearing’ early weak fault experiment, and its superiority is also verified through comparative analysis
Bifurcation and chaos analysis of the floating raft vibration isolation system with quasi-zero-stiffness isolators
Get PDFThis paper presents an investigation into the nonlinear dynamic behaviors of the floating raft isolation system coupled with quasi-zero-stiffness isolators subject to multiple disturbance sources. First, the coupling effects between the excitation source and isolation system are considered. Also, the floating raft isolation model under multiple excitations and its motion equation are deduced, and then the dynamic responses are mainly investigated by using the techniques of time history diagram, spectrum diagram, phase diagram and Poincaré map, and the bifurcation diagram. Finally, the bifurcations of the mechanical isolation system with different parameters are analyzed through numerical methods, especially the effect of center distance and mass ratio. The result predicts that the floating raft shows an alternate phenomenon of periodic motion, quasi-periodic motion, and chaotic motion when the center distance and mass ratio vary. The motion state of the floating raft vibration isolation system is more sensitive to the mass ratio than to the center distance. The horizontal and rotational response of the system becomes very intense in the chaotic state, and the response amplitudes in the horizontal and vertical directions reach the same order of magnitude. Above all, the dynamic characteristics can provide the theoretic supporting for the dynamics, vibration control and its parametric optimization of the floating raft isolation system coupled with quasi-zero-stiffness isolators. This study will lay down the requirements for the engineering design and application of floating raft isolation equipment in large vessel