State Key Laboratory of Mechanical Transmission

Thermal–hydraulic design and multi-objective optimisation of a cicada-wing-vein-inspired liquid cooling plate for lithium-ion battery thermal management

To improve the thermal safety and temperature uniformity of lithium-ion batteries under high-rate discharge, a cicada-wing-vein-inspired liquid cooling plate with hierarchical branching and lateral interconnections was developed. Three channel configurations, including rectangula...

A Meta‐Action‐Oriented Reliability Allocation for Machine Tools Using Bayesian Networks and Fuzzy Set Theory

ABSTRACT The rationality of reliability allocation is critical to improving the inherent reliability of machine tools. However, under fuzzy environments, traditional methods struggle to effectively characterize multi‐source uncertainties, leading to deviations between allocated a...

Enhancing parametric and causal reasoning through a formula-augmented language model approach for belt grinding knowledge assistance

Abrasive belt grinding is a flexible surface finishing process in which precision machining of geometrically complex components often involves coupled parameters and contact mechanisms. Retrieval-augmented large language models (LLMs) have shown promise in domain-specific knowled...

Experimentally validated reduced-order modeling of gear-rotor-bearing systems with three-dimensional shaft compliance and gyroscopic mapping

Traditional one-dimensional beam models cannot adequately represent the three-dimensional local compliance of stepped transmission shafts, whereas full solid models are inefficient for system-level nonlinear simulations. This study proposes a high-fidelity reduced-order model for...

Numerical-Experimental Investigation of surface integrity and kerf characteristics in laser cutting of GFRP using a conical Gaussian heat source

Laser processing of GFRP composites generates a heat‑affected zone (HAZ) which will affect surface roughness and mechanical properties. Conventional heat source models do not consider the Gaussian distribution of heat flux in the thickness direction. This limitation affects the s...

Prior distribution-guided disentanglement autoencoder for abnormal detection under variable operating conditions

This paper proposes an anomaly detection method based on disentanglement learning to address the challenge of operating condition (OC) interference in the health monitoring of a machine. The method first utilizes ternary mutual information theory to analyze and deconstruct the co...