Frontiers in Mechanical Engineering | New and Recent Articles

Ensuring the safe and reliable operation of industrial robots requires effective monitoring systems capable of detecting abnormal situations within robotic workspaces. In the context of industry 4.0, computer vision techniques offer promising solutions for real-time supervision of industrial environments. This study proposes a vision-based monitoring framework designed to detect the position of a…

To quickly learn the complex operational patterns of thermal power generating units, this paper proposes an online monitoring method based on extreme learning machine (ELM) and SCADA data. First, health data from normal operations of the thermal power generating set are collected, and outliers unrelated to the unit’s operating conditions are removed from the SCADA data, along with local abnormal …

Intermediate Bulk Containers (IBCs) are among the most widely used packaging and transport systems worldwide for bulk goods such as liquids. When IBCs are only partially filled, liquid sloshing can occur during both intralogistics and external transport. This sloshing generates dynamic forces on the container walls, which are transferred to the supporting structure. In particular, the horizontal …

IntroductionShip rotating machinery is the core of the ship’s power system, and its health is crucial to the safety and economy of ship operation. However, the traditional operation and maintenance model is difficult to meet the intelligent needs of modern ships.MethodsThis study proposes an integrated solution of “data preprocessing-fault diagnosis-life prediction” to finish real-time monitoring…

Torsional vibration provides critical information for assessing the health of rotating shafts, whereas contact sensors can be difficult to deploy and may suffer from signal contamination in industrial environments. This study proposes a non-contact torsional vibration monitoring framework targeting High-Voltage Direct Current (HVDC) converter-station auxiliary drives, using a dual-beam differenti…

Aluminum honeycomb structures are widely used in aerospace due to their excellent stiffness-to-weight ratio. However, their thin-walled architecture makes them difficult to machine, leading to deformation, material buildup, tool wear, and surface degradation. This study analyzes ultrasonic vibration-assisted milling of aluminum honeycomb structures by combining 3D numerical modeling and experimen…

Electro-Mechanical Actuators (EMAs) are being adopted in small-aircraft primary flight-surface control due to their compactness and efficiency; however, their mechanical transmission components remain vulnerable to progressive degradation under variable loads and harsh operating conditions. This study proposes an explainable machine learning framework for health-state diagnosis of aircraft EMAs u…

This research investigates semi-automated robotic repair methods for wind turbine blades using hybrid manufacturing approaches. A straightforward strategy has been proposed to repair blades damaged by rain erosion. After identifying defects on the structure, specific points along the boundary are selected, and their coordinates relative to the robot are obtained. These coordinates are then used t…

This review examines the research progress on flow mechanisms and aerodynamic optimization of airfoils under low-Reynolds-number conditions, with emphasis on the formation and evolution of laminar separation bubbles and their effects on aerodynamic performance. Based on experimental studies, numerical simulations, and optimization design research, the characteristics of the separation, transition…

Sediment dynamics play a crucial role in deep-sea mining, affecting both collection efficiency and environmental disturbance, yet are often inadequately represented in numerical simulations. This study employs a non-Newtonian fluid model to simulate sediment behavior, validated through experimental jet flushing data. We compare flow field distributions and particle trajectories under a convention…

Modular multilevel high-voltage inverters are core components of rail vehicle traction systems, and their control performance directly determines the energy efficiency and operational reliability of traction drives. The primary objective of this study is to overcome the inherent limitations of traditional voltage model flux observers—specifically waveform distortion and DC component interference—…

Within the paradigm of industry 4.0, predictive maintenance emerges as the pivotal strategic axis foe enhancing equipment reliability and optimization operating costs. This maintenance is fundamentally predicated on the utilization of artificial intelligence tools and data analysis techniques. In this context, the present article proposes a synthetic data generation approach dedicates to detectin…

IntroductionFor motion robots that use dynamic perception, state-of-the-art systems still struggle to simultaneously tackle various challenges, including high-speed motion blur, strong interactive occlusion, and drastic changes in scene lighting, which limit the robustness and real-time performance of tracking.MethodsThis study proposes a multimodal perception optimization model that integrates m…

IntroductionRobotic grinding suffers from problems such as unstable contact force, limited control in large-area grinding, and difficulty in improving the grinding quality of complex curved surfaces.MethodsTo address these issues and achieve precise force-position control, adaptive adjustment, and multi-objective balance during the grinding process, this study designs a rigid-flexible coupling gr…

Silicon is one of the most attractive anode materials for all-solid-state batteries (ASSBs) because of its high theoretical capacity, low lithiation potential, and abundance. Over the past 2 decades, silicon-anode research in ASSBs has evolved from thin-film model systems to nanostructured three-dimensional electrodes, powder-pressed composite architectures, integrated nanosheet-based cells, and,…

Intelligent chassis systems for battery electric vehicles (BEVs) face unresolved challenges in structural-mechanical integration, multi-domain control coordination, and fault-tolerant safety architecture under battery-induced mass redistribution and X-by-wire decoupling requirements. This review employs a four-layer framework—Foundation (X-by-wire), Execution (suspension/lightweight structures), …

Primary fixation of cementless implants is achieved through an interference fit. Successful primary fixation of press-fit components, a prerequisite for their long-term stability, is achieved through periprosthetic stress and friction at the bone-implant interface. In computational studies of interference fits, the input value of the coefficient of friction (COF) significantly influences the asse…

IntroductionThis study investigates the influence of electrospark alloying (ESA) parameters on the morphological characteristics, microhardness, and abrasive wear resistance of coatings deposited on 1045 steel using VK15 alloy and R6M5 steel electrodes.MethodsCoatings were produced at specific processing times of 1 and 2 min/cm2. Their performance was evaluated through microhardness measurements …

Passenger car manufacturing in India is undergoing a rapid transformation driven by growing demand for high productivity, sustainability, and more flexible assembly systems. Even though significant progress has been made, existing studies mostly focus on individual techniques such as Lean, automation, or digitalization and rarely provide a unified framework for productivity improvement. This revi…

Silicon–carbon composite anodes are among the most intensively studied candidates for next-generation lithium-ion batteries because they combine the high theoretical capacity of silicon with the conductivity, structural resilience, and processability of carbon. Yet the value of silicon–carbon design lies not simply in blending two materials. The most effective systems create a coordinated archite…