Frontiers in Mechanical Engineering | New and Recent Articles

IntroductionAssembly line productivity is a critical performance factor in passenger car manufacturing because it directly affects output stability, production cost and delivery efficiency. Existing studies discuss machine, manpower, supply chain and quality issues separately, but limited empirical work examines these barriers together in passenger car manufacturing units of the Pune region. To a…

Lower-limb rehabilitation exoskeletons are often discussed in terms of mechanics, sensing, and control, yet their rehabilitation value depends on how these elements work together during human–robot interaction. This review focuses on the integration of sensing, compliant actuation, and assist-as-needed control in lower-limb rehabilitation exoskeletons. Recent research suggests that effective assi…

IntroductionTraditional electromechanical manufacturing systems suffer from excessively long debugging cycles, elevated operating costs, and poor predictability of mechanical interference and collision hazards, which severely restricts on-site commissioning efficiency. To resolve these practical engineering bottlenecks, this study develops an integrated virtual debugging manufacturing system with…

IntroductionCurrent studies mostly realize local single-condition optimization without full-process bidirectional coordinated control, failing to balance smoothness, durability and response speed simultaneously.MethodsComplete bidirectional switching workflows for single-motor independent drive, torque coupling and speed coupling modes are designed with calibrated torque, speed and pressure thres…

IntroductionThis study investigates the influence of cutting conditions on the quality of the machined surface during thermal friction milling with pulsed cooling of HARDOX 450 steel.MethodsExperiments were conducted by varying the friction-cutter rotational speed, feed rate, and cutting depth. Surface roughness and hardness were measured after machining. A simplified ANSYS Workbench model consis…

Fullerenes (FLNs) have attracted attention as lubricant additives because of their antioxidant properties and potential to reduce friction and wear. However, the mechanisms by which FLNs function in lubricating oils remain unclear, particularly with respect to their existence forms in oil and interactions with sliding surfaces. In this study, the tribological properties of FLN-containing oils wer…

The integration of physics-based modeling and data-driven prediction is creating new opportunities for predictive design, optimization, and the deployment of digital twins in advanced manufacturing systems. In compliant mechanisms, particularly double-bridge configurations used in precision positioning and surface engineering applications, accurate prediction and optimization of amplification rat…

IntroductionAccurate determination of aircraft engine compressor characteristics is vital for stability and performance optimization. However, experimental data acquisition is often hindered by high costs, resulting in a strong reliance on limited test data.MethodsTo address this challenge, this paper proposes the Graph Attention Enhanced Scale-Aware Inverted Transformer (GAESA-iFormer), a novel …

IntroductionAn ideal flight mechanism model reasonably approximates the efficiency of aerodynamic flight, similar to how ideal heat engines approximate what is possible with different engine designs. It is useful for modeling ground effect flight. The ideal model provides a benchmark against which vehicle prototype performances may be compared to rapidly assess design effectiveness; similar bench…

In deep-sea mining operations, the presence of sediment has a significant impact on hydraulic extraction performance. However, existing studies generally assume a rigid substrate, failing to reflect the effects of real sedimentary environments. To evaluate the adaptability of different hydraulic extraction technologies under sediment-laden boundary conditions, this study coupled VOF interface tra…

The increasing need for energy security and the development of clean energy sources to mitigate the impact of climate change necessitate the development of multisource energy generation systems comprising solar panels, generators, and grids. Four hybrid deep learning models were developed to predict the solar power generation (SPG) from historical solar panel data. These include a time convolutio…

To provide a comprehensive and balanced perspective, the review also acknowledges well-established mainstream alternatives, including induction motors (IMs), which have demonstrated practical viability in commercial EV applications such as Tesla’s early production models. Variable flux motors (VFMs) have emerged as a transformative technology for new energy vehicle propulsion systems, addressing …

MXenes have been widely reviewed as biomedical nanomaterials for sensing, therapy, imaging, drug delivery and tissue engineering. However, most reviews organize MXene studies by biomedical application categories rather than mechanical conditions under which MXene-containing interfaces operate. This leaves an important gap for biomechanical engineering: how MXene-based soft interfaces maintain sig…

Mechanical components such as bearings, gears, marine shafts, engine-related parts, and aluminum-alloy structures are frequently subjected to coupled wear, corrosion, humidity variation, temperature cycling, and interfacial degradation during service. MXene-dominant and MXene-containing protective coating systems have recently emerged as promising surface-engineering platforms because MXene nanos…

While Artificial Intelligence (AI) and Machine Learning (ML) hold significant promise for Engineering Design Optimization (EDO), traditional optimization approaches frequently suffer from excessive computational and time expenses. To overcome these barriers, this study introduces a high-performance optimization framework built upon three core contributions. First, a cost-effective data acquisitio…

Off-highway machines, agricultural harvesters, construction excavators, and mining haul trucks operate under extreme load variability, harsh unstructured environments, and constrained sensor instrumentation, creating prognostic conditions fundamentally different from on-road vehicles. While AI-enabled predictive maintenance has matured for passenger vehicles and well-instrumented industrial asset…

IntroductionPredictive current control (PCC) for permanent magnet synchronous motors (PMSM) exhibits slow response and obvious chattering under parameter variation and load shock, while existing schemes cannot coordinate anti-disturbance performance, dynamic speed and battery power constraints.MethodsThis paper designs an improved dynamic double-power reaching law (DPRL) with finite-time converge…

ObjectiveThis study evaluates POI-based spatial accessibility to candidate electric-vehicle charging facilities in central Ningbo and develops a transparent screening framework for identifying urban destinations with comparatively weak road-network access.MethodsCandidate charging-facility POIs and urban functional POIs were collected through the Amap Web Service API from 20 to 30 June 2026. A di…

The rapid electrification of the automotive industry has created an urgent demand for lightweight, high-strength battery enclosure systems, positioning composite materials—including sheet molding compound (SMC), bulk molding compound (BMC), carbon fiber reinforced polymer (CFRP), and glass fiber reinforced polymer (GFRP)—as the dominant solution over traditional metallic alternatives. As the foun…

IntroductionIn view of the high cutting temperature, severe tool wear and poor processing surface integrity caused by poor thermal conductivity of the material during the cutting process of workpieces, active thermal conductive medium microelectronic inkjet coating technology is proposed.MethodsThis technology applies a uniform thermally conductive medium layer on the surface of a pretreated work…