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Chinese Journal of Mechanical Engineering
Scopus
ISSN 1000-9345 · KeAi Communications Co., Ltd. · 930 artikel di indeks
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Artikel Jurnal
Vehicle-to-vehicle cooperative localization using robust HOC M-estimation with VIO and distance constraints
Vehicle-to-vehicle (V2V) cooperative localization mitigates the cumulative drift of standalone localization by exploiting position and ranging information from nearby vehicles. Compared with existing approaches that are based solely on inter-vehicle distance constraints, combining visual-inertial…
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Artikel Jurnal
Contingency overtaking planning based on joint Frenet-Cartesian constrained iterative LQR towards extending FOV of autonomous vehicles
Motion planning for autonomous vehicles has attracted significant attention; however, autonomous overtaking by lane borrowing on two-way, two-lane national highways remains underexplored. The dense presence of heavy trucks on these highways, combined with overtaking blind spots and narrow road…
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Artikel Jurnal
High-precision vision-based circular holes diameter measurement method for robotic drilling
Hole accuracy significantly influences the fatigue performance of skin-panel joints, and its inspection is both fundamental and technically challenging. With advantages like efficiency, automation, and traceability, visual-based measurement method has emerged as a promising approach in aircraft…
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Artikel Jurnal
An efficient and generalized parameter optimization methodology for Gough-Stewart platform
Parameter optimization of Gough-Stewart platforms (GSPs) is crucial for enhancing their kinematic and dynamic performance. Traditional approaches, which involve solving complex equations and performing comprehensive workspace analyses, are often computationally intensive and mathematically complex…
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Artikel Jurnal
Study on the adaptability of elliptic continuous high-speed ultrasonic vibration cutting for complex rotating parts made of FGH96
Continuous cutting cannot open the cutting area; therefore, cutting fluid cannot enter the region for cooling and lubrication. The resulting high cutting temperature and force reduce cutting speed, thereby lowering machining efficiency. Partial separation continuous high-speed ultrasonic vibration…
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Artikel Jurnal
Dynamic stress characteristics of bogie frames of high-speed trains and the life prediction study
Based on the line tracking test, the dynamic stress characteristics and fatigue reliability of critical areas in the bogie frame are investigated to address the problem of high-speed train bogie frame fatigue life prediction. The measured data are extracted based on the stress-time relationship…
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Artikel Jurnal
Design, manufacturing, and characteristics of steel–CF/PEEK hybrid shaft with optimized thermal structure
Thermal deformation is one of the primary sources of errors, reducing the overall accuracy of precision CNC machine tools. For instance, it makes improving the machining accuracy of traditional steel machining shafts difficult. To reduce thermal deformation in machine tool shafts, this study…
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Artikel Jurnal
Exploring prior-structured low-rank adaptation for predictive maintenance based on time series foundation model
Predictive maintenance for industrial equipment is hampered by nonstationary dynamics and the scarcity of labeled data. In contrast, large foundation models offer the potential for universal sequence representations and parameter-efficient adaptation. Existing practices adapt language or…
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Artikel Jurnal
VLM-guided causal reasoning framework for cross-domain source-free industrial fault diagnosis
Mechanical intelligent fault diagnosis (IFD) methods in cross-domain industrial environments are often constrained by data privacy regulations, distribution discrepancies between operating conditions, and mismatched label spaces across domains. Existing domain adaptation approaches typically…
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Artikel Jurnal
Optimization of knowledge graph search methods enabled by large language models with applications to fault diagnosis of electromechanical systems
Under the trend of industrial intelligence upgrading, electromechanical systems serve as a crucial component for ensuring the normal operation of equipment. The accuracy of fault diagnosis directly affects production efficiency and operation maintenance costs. Although traditional knowledge graphs…
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Artikel Jurnal
An LLM-based framework for state of health estimation of lithium-ion batteries
Accurate state of health (SOH) estimation is essential for ensuring the reliability and safety of lithium-ion batteries. However, existing methods often suffer from complex modeling requirements and limited generalizability. Addressing these challenges calls for a shift toward knowledge-driven…
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Artikel Jurnal
Fault inference diagnosis based on causal network and large language model-enhanced knowledge graph network
Current research in mechanical fault inference diagnosis primarily relies on knowledge graph networks (KGN) for reasoning. Compared to traditional diagnostic methods, KGN offers advantages in knowledge representation, but it suffers from insufficient causal mining and limited reasoning capability…
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Artikel Jurnal
Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks
The adoption of deep learning in intelligent operation and maintenance of wind turbines has improved fault detection and classification accuracy. However, most existing studies focus primarily on the fault identification stage, while the crucial task of generating intelligent and personalized…
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Artikel Jurnal
Wide-temperature wear mechanism of GH4169 superalloy prepared by longitudinal torsional ultrasonic vibration milling correlated with microstructural characteristics
As a key material for next-generation aero-engine components, the surface layer quality of a GH4169 superalloy after machining directly determines the wear performance of critical parts. This study focused on the tribological behaviour of GH4169 superalloy workpiece prepared by longitudinal…
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Artikel Jurnal
A novel point cloud segmentation method for accurate surface partitioning based on feature boundaries in the machining of industrial components
The surfaces of industrial components used in aerospace fields typically exhibit diverse feature boundaries. These features divide the surface into multiple sub-regions, and effective machining for such components therefore depends heavily on region-based partitioning techniques. Employing measured…
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Artikel Jurnal
Removal of stainless steel burrs by ultra-low temperature ice jet blasting
The presence of burrs in the machining process directly affects the accuracy of the machined part. As the machining industry demands higher precision in its products, the necessity for effective burr removal has become increasingly crucial. Developing efficient and environmentally friendly burr…
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Artikel Jurnal
Tensile and fatigue properties of additively manufactured titanium alloy: Effects of heat treatment and surface processing
Titanium alloy has been regarded as one of the most demandable and potential materials in the additive manufacturing (AM) community due to its good printability and extensive applications. While the durability and ductility of the as-built titanium alloy specimens were markedly lower than the…
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Artikel Jurnal
Particle-flow topology optimization with the SPH kernel for hinge-free designs of compliant mechanisms using isogeometric material point method
Compliant mechanisms, which achieve input-output functions through continuous elastic deformation, offer inherent advantages such as frictionless motion, absence of backlash, and suitability for microscale fabrication. These features render them highly promising for advanced engineering…
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Artikel Jurnal
A dynamic traffic augmented safety interval reserve approach for decision-making and planning of connected autonomous vehicles
Connected autonomous vehicle (CAV) technology can significantly reduce the number of accidents and improve traffic efficiency. However, the current research on CAV decision-making and planning is relatively simple or focuses on idealized scenarios. This paper proposes a decision-making and planning…
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Artikel Jurnal
Optimizing flow fields of non-equidistant group holes to enhance efficiency and surface quality in online deformation electrochemical cutting
Online deformation electrochemical cutting with flexible electrode (FECC) is a novel process utilising simple electrodes to machine complex surfaces, offering broad application prospects in the manufacture of aero-engine components. However, the continuous deformation of the flexible electrode…