Underwater sensor deployment in military applications requires high precision, yet existing robotic solutions often lack the maneuverability and adaptability required for complex aquatic environments. To address this gap, this study proposes a bio-inspired underwater robot modeled after the marine iguana, which exhibits effective crawling and swimming capabilities. The research aims to develop a compact, multi-functional robot capable of precise sensor deployment and environmental detection. The methodology integrates a biomimetic mechanical design—featuring leg-based crawling, tail-driven swimming, a deployable head mechanism, and buoyancy control—with a multi-sensor control system for navigation and data acquisition. Gait and trajectory planning are optimized using kinematic modeling for both terrestrial and aquatic locomotion. Experimental results demonstrate the robot’s ability to perform accurate underwater sensor deployment, validating its potential for military applications. This work provides a novel approach to underwater deployment robotics, bridging the gap between biological inspiration and functional engineering.
The method for generating carbon footprint inventory of substation engineering based on knowledge graph can ensure that all entities in the inventory have effective emission factors, and that the materials and machinery in the inventory can be traced back to their respective lifecycle stages and sub projects based on the knowledge graph relationship, providing favorable support for carbon reduction in the later stage. This method takes the lifecycle process of substation engineering from cradle to gate as the object, and extracts knowledge and constructs a knowledge graph for the material entities and mechanical entities and relationships of sub projects of substation carbon footprint engineering, as well as existing emission factors. Based on the concept level seed set, whether the entities have emission factors, and the priority of emission factor attributes, entity alignment is carried out. The final layer of entities after entity alignment is completed, which is the carbon footprint list of substation engineering. Finally, the effectiveness of this method was verified using steel used in substation engineering as an example.
Surface permanent magnet synchronous motor (SPMSM) is widely used in low-speed and high torque permanent magnet synchronous motor. A multi-objective optimization method of hollow shaft direct drive motor (HSDDM) for double direct drive feed system (DDFS) is proposed in this paper. Several dimensions of HSDDM are considered in the proposed design procedure including pole embrace, thickness of magnet, eccentric distance, and air gap length. A multi-objective optimization model is established to minimize cogging torque, maximize efficiency, and minimize the magnet weight. The Optimized Latin hypercube sampling (OLHS) is used to design the experimental samples, and the sampling results are calculated by the finite element method (FEM). The Kring approximate model is established according to the sampling results. Based on the established approximate model, NSGA II multi-objective genetic algorithm is used to optimize the HSDDM. Compared with that before optimization, the efficiency after optimization is increased by 4.08%, the cogging torque is reduced by 86.78%, and the magnet weight is reduced by 20.24%. Eventually, the integration of NSGA-II and FEM provides an effective approach to obtain the optimal design of HSDDM.
Syamsuir Syamsuir, Ferry Budhi Susetyo, Bambang Soegijono
et al.
This study examines the influence of the application of a rotating magnetic field in the electrodeposition of copper (Cu). During the electrodeposition, five constant magnets were rotated (500 and 800 rpm) towards the bottom of the sample. To investigate deposition rate, surface morphology, phase, structure, corrosion resistance, and hardness in deposited Cu using a weighing scale, a scanning electron microscope equipped with energy dispersive spectroscopy (SEM-EDS), X-ray diffraction (XRD), potentiodynamic polarization, and hardness tester respectively. Bacterial activity was also evaluated through this research. Morphological surface observations showed that the increase in the rotational speed of the magnets during the electrodeposition process led to a smooth surface. A perfect Cu phase covers Al alloy with no oxide. The potentiodynamic polarization demonstrated by the increase in the rotating led to a shift to the more positive value of the corrosion potential. Moreover, the corrosion current also decreases with the increase in the rotating speed of the magnets. Less crystallite size promoted forming a higher hardness and inhibition zone of the Cu films.
Mechanical engineering and machinery, Mechanics of engineering. Applied mechanics
In order to solve the problem that there is a huge amount of port machinery operating state data, the traditional fault diagnosis method is difficult to effectively obtain the mechanical fault information from the massive data and also cannot accurately diagnose the fault. This paper presents a fault diagnosis method for port machinery based on the FastAP algorithm. By analyzing the characteristics of the FastAP algorithm, the algorithm is introduced into port machinery fault diagnosis, and a port machinery fault diagnosis model based on FastAP is proposed. Through simulation experiments, the algorithm and its application in port machinery fault diagnosis are verified. The experimental results show that compared with the standard AP algorithm, the FastAP algorithm performs well in the sum of similarity, clustering accuracy, and clustering calculation time and has better performance, which is more suitable for fault diagnosis. The fault diagnosis method based on the FastAP algorithm has a high diagnosis accuracy of port machinery fault, reaching more than 92%, and can accurately diagnose the normal state, inner and outer ring fault state, and rolling element fault state of the actual port mechanical belt conveyor. The research on remote control and fault diagnosis of port machinery equipment based on wireless communication technology can effectively solve the problem that there is a huge amount of port machinery operating state data, and the traditional fault diagnosis methods are difficult to effectively obtain mechanical fault information from the massive data and thus cannot accurately diagnose the fault.
Capacitive micromachined ultrasonic transducers (CMUT) are MEMS-based transducers with advantages over conventional ultrasonic transducers, such as their small size, the ease of integration with semiconductor electronics, and batch fabrication. In this study, the effect of different membrane topologies on the displacement, resonant frequency, and output pressure of the CMUT membrane is investigated in the transmission mode in an air environment. A novel structural-support feature, the rocker stem, is introduced, where the membrane is weakly held to the substrate in order to minimize mechanical constraints. Four different CMUT topologies are designed and assessed to analyze the impacts of topological variations. A new CMUT array configuration is also designed to provide an approach for maximizing CMUT density. This study aims to contribute to efficient CMUT design and the determination of optimum structural parameters for portable applications in air.
The questions of application of nanomaterials in mechanical engineering are considered. Concept of electrochemical processing products in mechanical engineering with the use of a solid nanodisperse phase is defined. The characteristics and methods of application in the processes of electrodeposition of carbon nanomaterials are determined. The results of experimental investigations of electrolytic chrome plating with multi-walled carbon nanotubes of the "Taunit" series are presented.
As an advanced manufacturing technology, 3D printing technology is widely used in the field of large-scale engineering equipment, which is not limited to the research and development of engineering equipment, but also has great application prospects in the field of maintenance and support of large-scale engineering machinery and equipment. By introducing the basic principle of 3D printing technology, this paper focuses on the transformative impact of 3D printing technology on the maintenance and support field of large engineering mechanical equipment from four aspects: improving equipment maintenance and support efficiency, saving equipment maintenance and support cost, changing equipment maintenance and support mode and promoting the ability transformation of equipment maintenance and support talents, Finally, according to the practical problems of 3D printing technology, the prospect of 3D printing technology is prospected, which provides reference significance for the follow-up research of 3D printing technology in the maintenance support of large construction machinery and equipment.
With the development of industrial robots and other mechanical equipment to a higher degree of automation, mechanical systems have become increasingly complex. This represents a huge challenge for condition monitoring. The separation of vibration source signals plays an important role in condition monitoring and fault diagnosis. The key to the separation method of the vibration source signal is prior knowledge, such as of the statistical features of the vibration source signal, the number of vibration sources, and so forth. However, effective prior knowledge is difficult to obtain in engineering applications. This study found that low rank is a common feature of rotating machinery vibration source signals. To address the problem of the difficulty obtaining the signal feature of a vibration source, the multi-low-rank constrained vibration source signal separation method was proposed. Its advantages and effectiveness have been verified through simulations and experimental tests. Compared with the blind source separation method of independent component analysis (BSS-ICA) and the ensemble empirical mode decomposition (EEMD) methods, it obtained better clustering results and higher signal-to-signal ratio (SSR) values.
Modern construction machinery is an important facility of industrial production and construction in China. Effective application improves work efficiency and quality. With the continuous progress of science and technology, mechanical and electrical integration technology is gradually applied to construction machinery, which effectively promotes the development of automation and intelligence in various fields and accelerates the process of industrialization in China. In view of this, this paper mainly focuses on the application of mechatronics technology in construction machinery to carry out a comprehensive analysis and research, hoping to be helpful for the good development of mechatronics technology.
Microbial fuel cells (MFCs) have gained remarkable attention as a novel wastewater treatment that simultaneously generates electricity. The low activity of the oxygen reduction reaction (ORR) remains one of the most critical bottlenecks limiting the development of MFCs. To date, although research on biochar as an electrocatalyst in MFCs has made tremendous progress, further improvements are needed to make it economically practical. Recently, biochars have been considered to be ORR electrocatalysts with developmental potential. In this review, the ORR mechanism and the essential requirements of ORR catalysts in MFC applications are introduced. Moreover, the focus is to highlight the material selection, properties, and preparation of biochar electrocatalysts, as well as the evaluation and measurement of biochar electrodes. Additionally, in order to provide comprehensive information on the specific applications of biochars in the field of MFCs, their applications as electrocatalysts, are then discussed in detail, including the uses of nitrogen-doped biochar and other heteroatom-doped biochars as electrocatalysts, poisoning tests for biochar catalysts, and the cost estimation of biochar catalysts. Finally, profound insights into the current challenges and clear directions for future perspectives and research are concluded.
In this study, novel composite strips based on 2017A-T4 aluminium alloy (Al-Cu-Mg) produced by accumulative roll bonding (ARB) were developed. The microstructure and mechanical properties of the ultrafine-grained sheets under quasistatic and dynamic loadings were investigated. The initial microstructure characterization with an Optical Microscope and a Scanning Electron Microscope indicated that the ARBed sheets formed a compact material with the homogeneous and identical thickness for the individual bonded layers. Besides, the presence of precipitates was identified in all the processed strips with diverse sizes, quantities and distribution. Moreover, from Electron Back Scatter Diffraction, the microstructure was noticeably refined with increasing theARBcycles to reach 1.7 µm the grain size at the fifth cycle. The microhardness measurement and the tensile test were carried out for both natural ageing and ARBed specimens. Accordingly, the tensile stress acts on the individual layers rather than the entire sample that conduct to a reduction in the overall properties for the ARBed strips. Furthermore, a stabilization in the mechanical properties for the three first ARB cycles was noted, whereas, the domination of the dynamic recrystallization was responsible for a significant drop after the fourth cycle which is considered as the transition state. The characteristics of the compression deformation were examined under dynamic and quasi-static loadings conditions by using the Split–Hopkinson Pressure Bar system and the universal testing machine, respectively. The strain hardening behaviour was investigated using the Hollomon analysis. It was found that the thermal softening played a crucial role when compared to the strain hardening for all the studied strips. Moreover, the strain rate under the dynamic loading has a minor effect on the stress flow of the ARBed sheets compared to the as-received material.
Engineering (General). Civil engineering (General), Mechanical engineering and machinery
Abstract This research paper focusses on designing a resilient fuzzy controller for a kind of singular stochastic biological economic fishery model with a variable economic profit. Initially, the singular stochastic biological economic fishery model is formulated as T‐S fuzzy singular systems. By using the ideas of continuous frequency distribution and Lyapunov approach, a fresh collection of linear matrix inequalities is developed which are sufficient to establish the asymptotic stability of the singular biological economic fishery model. Later these conditions are extended to obtain some novel sufficient finite‐time stability conditions for the addressed model. The ultimate objective of this research paper is to develop a more generalized version of the resilient controller against nonlinear actuator faults such that it makes the considered system stable within a finite interval of time. Moreover, the developed conditions are based on the solutions of LMIs which provides maximal estimation of region of attraction. Conclusively, simulation results are provided to embellish the usefulness of the obtained control design.
Control engineering systems. Automatic machinery (General)
Benedikt Reick, Anja Konzept, André Kaufmann
et al.
Due to increasing sales figures, the energy consumption of battery-electric vehicles is moving further into focus. In addition to efficient driving, it is also important that the energy losses during AC charging are as low as possible for a sustainable operation. In many situations it is not possible or necessary to charge the vehicle with the maximum charging power e.g., in apartment buildings. The influence of the charging mode (number of phases used, in-cable-control-box or used wallbox, charging current) on the charging efficiency is often unknown. In this work, the energy consumption of two electric vehicles in the Worldwide Harmonized Light-Duty Vehicles Test Cycle is presented. In-house developed measurement technology and vehicle CAN data are used. A detailed breakdown of charging losses, drivetrain efficiency, and overall energy consumption for one of the vehicles is provided. Finally, the results are discussed with reference to avoidable CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> emissions. The charging losses of the tested vehicles range from 12.79 to 20.42%. Maximum charging power with three phases and 16 A charging current delivers the best efficiencies. Single-phase charging was considered down to 10 A, where the losses are greatest. The drivetrain efficiency while driving is 63.88% on average for the WLTC, 77.12% in the “extra high” section and 23.12% in the “low” section. The resulting energy consumption for both vehicles is higher than the OEM data given (21.6 to 44.9%). Possible origins for the surplus on energy consumption are detailed. Over 100,000 km, unfavorable charging results in additional CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> emissions of 1.24 t. The emissions for an assumed annual mileage of 20,000 km are three times larger than for a class A+ refrigerator. A classification of charging modes and chargers thus appears to make sense. In the following work, efficiency improvements in the charger as well as DC charging will be proposed.
Mechanical engineering and machinery, Machine design and drawing
Noriyuki UNNO, Kazuhisa YUKI, Jun TANIGUCHI
et al.
For boiling heat transfer, it is important to improve both the critical heat flux and heat transfer coefficient. In general, the heat transfer coefficient is improved by promoting the nucleation of boiling bubbles on the heating surface. However, this decreases the critical heat flux. To improve the heat transfer coefficient without decreasing the critical heat flux, we previously developed a technique using a boiling bubble resonator, which consists of a material attached close to the heating surface that vibrates in response to the growth and collapse of boiling bubbles. In this study, we used spacer plates to vary the gap height between the heating surface and boiling bubble resonator to maximize the boiling heat transfer. By optimizing the gap height, the wall superheat decreased by 7 and 25 K at 0.8 and 5.6 MW/m2, respectively. The maximum heat flux was 5.8 MW/m2 with the optimized gap height. In addition, we observed sound signals when the boiling bubble resonator was optimally vibrating. Moreover, jet flow from the gap appeared with the vibration of the boiling bubble resonator.
Mechanical engineering and machinery, Mechanics of engineering. Applied mechanics
Abstract Characterized by self-monitoring and agile adaptation to fast changing dynamics in complex production environments, smart manufacturing as envisioned under Industry 4.0 aims to improve the throughput and reliability of production beyond the state-of-the-art. While the widespread application of deep learning (DL) has opened up new opportunities to accomplish the goal, data quality and model interpretability have continued to present a roadblock for the widespread acceptance of DL for real-world applications. This has motivated research on two fronts: data curation, which aims to provide quality data as input for meaningful DL-based analysis, and model interpretation, which intends to reveal the physical reasoning underlying DL model outputs and promote trust from the users. This paper summarizes several key techniques in data curation where breakthroughs in data denoising, outlier detection, imputation, balancing, and semantic annotation have demonstrated the effectiveness in information extraction from noisy, incomplete, insufficient, and/or unannotated data. Also highlighted are model interpretation methods that address the “black-box” nature of DL towards model transparency.
Ocean engineering, Mechanical engineering and machinery