The structural fracture of the compressor blade is the main cause of fatigue failure. The novelty of this paper is the creative application of bent swept-back modeling to the blade of the turbocharger impeller. This paper is based on a compressor impeller satisfying the k-ε turbulence model. A simulation model was established in ANSYS software, the fluid–structure interaction was calculated in the three models before and after improvement, and the results were compared and analyzed. The optimized blade could improve the blade structure, reduce stress and deformation, and improve the pressurization ratio. In this paper, the optimization scheme of different parameters was discussed in line with the optimal solution. Based on the combination of fuzzy and grey correlation theory, it was concluded that the correlation between pressure and total deformation was higher than that of equivalent stress, and these two values reached 0.8596 and 0.8001, respectively. The results showed that the pressure and total deformation were significantly related to the flow rate. It provides a feasible scheme for further improvement of the supercharger compressor.

Component calorimetry is widely used to assess the thermal stability of lithium-ion battery cathode materials, yet it remains unclear which material-scale descriptors retain consistent relationships with whole-cell self-heating kinetics across independent datasets and test protocols. Here, raw accelerating rate calorimetry (ARC) and thermogravimetric/differential scanning calorimetry (TGA/DSC) data for lithium cobalt oxide (LCO), lithium iron phosphate (LFP), and nickel–cobalt–aluminum oxide (NCA) cells were reanalyzed using a physics-guided event framework. Cathode decomposition onset, event-specific apparent exothermic energy, and associated mass loss were compared with the maximum whole-cell self-heating rate. In the Sandia dataset, cathode onset and event-specific exothermic energy showed large matched-state-of-charge correlations with whole-cell self-heating kinetics (r = −0.983 and 0.980, respectively). In an independently generated dataset, the cathode–electrolyte onset relationship was substantially weaker (r = −0.376), whereas cathode–electrolyte reaction enthalpy retained a large association (r = 0.886). Rank-based sensitivity analysis preserved this contrast, whereas leave-one-chemistry-out stress tests were unstable for all three Sandia linear models, indicating that the strong within-dataset associations did not extrapolate reliably to an unseen chemistry. Because the two heat-release metrics were obtained under different sample configurations and calorimetric protocols, the cross-study comparison is interpreted at the descriptor-class level rather than as direct metric equivalence. Across the two conventional lithium-ion datasets examined, cathode-associated exothermic magnitude showed greater cross-dataset consistency than onset temperature alone. However, neither descriptor supported a universal chemistry-independent scaling law, indicating that component-to-cell relationships remain dependent on experimental protocol, electrode interactions, cell architecture, and battery platform.

Additional sensor modalities may improve short-horizon lithium-ion battery thermal-runaway (TR) forecasting within familiar experimental domains, but whether that benefit persists in unseen cell/source families is unclear. This study evaluated cross-family transferability using 67 mechanically induced TR experiments from six cell/source families. Past 3-s histories of temperature (T), terminal voltage (V), and penetrator load/force (F) were used to forecast 1, 2, and 5 s temperature increments. At the focal 2 s pre-onset horizon, Extra Trees utilities for T + V, T + F, and T + V + F were 11.2%, 17.5%, and 12.4% under experiment-grouped random validation but −3.5%, −6.3%, and −14.3% under leave-one-family-out validation. Removing absolute V(t) reduced the voltage transfer penalty point estimate from 14.7 to 1.8 percentage points; further relative scaling produced −0.8 percentage points but no consistent incremental benefit. Across six families, joint voltage–force feature discrepancy showed a conditional, small-sample association with transfer penalty under the dynamic maximum target, (Spearman ρ = 1.00, exact p = 0.0028); this association attenuated when the median thermocouple (TC) temperature or first thermocouple channel (TC1) was used. Mechanical sensor transfer estimates likewise changed materially with target construction. Within this mechanically induced TR dataset, these results show that apparent multimodal gains depend on validation design, sensor representation, and target temperature definition. Cross-family claims should therefore be supported by family domain holdout validation and harmonized input and target representations. The focal pre-onset analysis is short-horizon regression conditional on a retrospectively defined window (−10 ≤ τ < −2 s relative to operational TR onset), not an autonomous prospective warning trigger.

This article aims to the transient vibration of wind turbine blades. We firstly introduce transient vibration and previous studies in this area. The report then shows the fundamental equations and derivation of Euler Equation. A 3-D beam are created to compare the analytical and numerical result. In addition we operate the existing result and Patran result of a truncation wedge beam, especially the frequencies of free vibration and transient vibration. Transient vibration cannot be vanished but in some case it can be reduced.

Lithium-ion batteries in unmanned aerial vehicles (UAVs) experience highly dynamic electrical loads, but thermal warning criteria are rarely interpreted against non-abuse aviation-oriented operating states. This study integrated three independent datasets: 196 DJI Matrice 100 flights, 13,326 validated Sony-Murata VTC6 laboratory missions from 16 cells, and 67 high-temperature-rise abuse experiments from six cell/source families. Real UAV operation showed sustained electrical demand, with a median mission P₉₅ power of 643.1 W; each additional 250 g payload was associated with a 51.1 W increase in P₉₅ power. Among non-abuse missions, 942/13,326 (7.07%) reached at least 60 °C, and median mission maximum temperature increased by 14.28 °C from the first to final within-cell progression decile. However, the conservative maximum non-abuse heating rate at T ≥ 60 °C was 0.451 °C·s⁻¹, below the minimum same-thermocouple value of 0.900 °C·s⁻¹ in the abuse cohort. A literature-based criterion of T ≥ 60 °C and dT/dt ≥ 1 °C·s⁻¹ produced no observed non-abuse activations and activated in 66/67 abuse experiments. Thus, temperature-domain overlap increased across recorded mission progression, whereas empirical thermal-rate separation persisted.