摘要:Near the critical point, supercritical fluids exhibit dramatic variations in physical properties, leading to complex flow and heat transfer behaviors essential for energy and chemical system design. Recent experimental advances in flow visualization for supercritical convective heat transfer are systematically reviewed. The principles, applications, and limitations of key techniques including particle image velocimetry (PIV) , schlieren imaging, laser Doppler velocimetry (LDV) , interferometry, neutron imaging, and inelastic X-ray scattering are emphatically analyzed. Research results show that neutron imaging and inelastic X-ray scattering can capture the multiphase-like features of liquid-like and gas-like coexistence in the pseudo-critical region. Although PIV and LDV provide high-resolution velocity data, their accuracy is limited under sharp property gradients due to refractive index distortions and poor tracer particle responsiveness. Schlieren imaging is found to provide qualitative density and temperature field visualization, and its potential for quantitative velocity measurements can be realized when combined with other methods. Interferometry enables quantitative, high-spatiotemporal-resolution measurements of local temperature and density, proving effective for probing heat transfer mechanisms. Future work should prioritize the development of interference-resistant, high-precision visualization techniques, the improvement of distortion correction via deep learning, the advancement of multimodal integration, and the strengthening of experiment-simulation synergies to elucidate fundamental mechanisms of supercritical flow and heat transfer.
摘要:In view of the insufficient analysis of the reaction mechanism concerning the transformation relationships of intermediate products and the sources of gaseous products in the current supercritical water co-gasification process of coal and sewage sludge, a two-intermediate lumped kinetics model was proposed. This model was established based on two main organic components in the liquid intermediate products, namely the easily decomposable components (e.g., aniline) and the stable components (e.g., polycyclic aromatic hydrocarbons) .Using the model, the transformation relationships of intermediate products over time during the gasification process were analyzed, and the sources and yields of various gaseous products were further examined in combination with the reaction rate constants. Consequently, the transformation mechanism of supercritical water co-gasification of coal and sewage sludge was further clarified. The research results show that the relative error between the model predictions and the experimental data is only 7.13%, indicating good consistency. Among the gaseous products, H2, CO2, and CO are mainly produced by steam reforming of intermediates, whereas CH4is dominantly formed through pyrolysis reactions. Steam reforming and pyrolysis dominate the entire co-gasification process. Under the conditions of 620℃and a mixed solid mass fraction of 5%, the maximum reaction rate of steam reforming reaches 0.15 mol/ (L·min) , and the maximum pyrolysis reaction rate is 0.06 mol/ (L·min) . This study provides a theoretical basis for mechanism revelation and process parameter optimization of coal sewage sludge supercritical water co-gasification technology.
关键词:coal;sewage sludge;supercritical water;co-gasification;kinetic model
摘要:To investigate the evolution process frominternal short circuit to thermal runawayin lithiumion batteries, a simulation analysis was conducted on the common positive-negative electrode internal short circuit induced by lithium dendrites. A three-dimensional electrochemical-thermalinternalshortcircuitcoupledmodelwasestablishedusingamulti-physics-fieldcoupling approach, accounting for lithium dendrite fusing and side reactions associated with thermal runaway. The electrochemical and thermal characteristics prior to the irreversible stage of the process were investigated, and the accuracy of the model was verified by comparing the simulation data with experimental results. On this basis, the electrothermal characteristics of lithium-ion batteries under different lithium dendrite radii and states of charge were further analyzed. The results show that a larger lithium dendrite radius leads to a higher current through the dendrite. When the lithium dendrite radius increases from 2 mm to 5 mm, the current through the lithium dendrite upon internal short circuit triggering rises from 1.2 A to 7.2 A, the overall heat generation rate of the battery increases by a factor of 20.7, and the fusing trigger time is shortened from 6.80 s to 0.84 s. In this model, the critical radius for lithium dendrite fusing is 1.4 mm. When the lithium dendrite radius is below 1.4 mm, the heat dissipation from the battery exceeds the heat generation, and fusing does not occur. When the state of charge increases from 0.2 to 1.0, the terminal voltage drop upon internal short circuit triggering rises from 0.138 V to 0.158 V, and the lithium dendrite current density increases by 21.5%.The increase in ohmic heat generation and electrochemical reaction heat generation in the short-circuit region raises the overall heat generation rate of the battery by 38.0%, thereby increasing the risk of thermal runaway. This study provides a theoretical basis and research directions for internal short circuit fault diagnosis and safety early warning of lithium ion batteries.
摘要:To address the issues of high pressure drop and poor temperature uniformity in traditional liquid cooling plates for large cylindrical batteries, a thermal management system integrating a topology-optimized liquid cooling plate with phase change materials was optimally designed. First, cooling scheme 1 was developed based on the liquid cooling plate and phase change materials. Second, to address the problem that the liquid cooling performance could not be fully utilized due to the limited heat exchange area, cooling scheme 2 was proposed, featuring serpentine liquid cooling channels to increase the heat exchange area. Finally, by utilizing the high thermal conductivity of metallic materials, composite cooling scheme 3 was designed, which integrated a topology-optimized liquid cooling plate, phase change material, and thermally conductive aluminum. A comparative analysis of the flow and heat transfer performance was conducted. It was shown that scheme 1 exhibited good temperature uniformity; however, a limited heat exchange area between the battery and the liquid cooling plate, as well as invalid filling of the phase change material, were observed. For scheme 2, the heat exchange area was increased and the heat transfer performance was improved; however, high flow resistance in the liquid cooling plate and poor temperature uniformity were also observed. Compared with the above two schemes, the average temperature of scheme 3 was reduced by 9.11% and 4.32%, respectively, reaching 38.80℃.The standard deviation of the battery surface temperature was reduced by 12.51% and 23.97%, respectively. Compared with the scheme 2, the inlet and outlet pressure drop of scheme 3 was decreased by 90.08%, reaching 33.90 Pa. The optimized heat transfer pathways and the topology optimization methodology developed in this study provide novel insights for the thermal management design of large cylindrical batteries in confined spaces.
摘要:To address the opaque decision-making process and lack of physical interpretability of convolutional neural networks (CNNs) in mechanical fault diagnosis, an interpretable intelligent diagnosis method based on the dual-tree complex wavelet transform (DTCWT) was proposed. The Morlet complex wavelet transform, which carries clear time-frequency physical significance, was constructed as an interpretable convolutional layer, replacing the randomly initialized convolution kernels in the first layer of a traditional CNN, thus forming a DTCWT-CNN hybrid architecture. The DTCWT convolutional layer simultaneously extracted the amplitude and phase information of the signal through the parallel structure of real and imaginary trees, and incorporated a learnable frequency-band weighting mechanism and a soft-thresholding denoising strategy to achieve adaptive and precise capture of bearing fault impact features. Experiments were conducted on the Case Western Reserve University bearing dataset and the Universität Paderborn bearing dataset. The results show that the DTCWT-CNN achieves an average diagnostic accuracy of 99% under different channel configurations, which is significantly superior to other comparative methods. Validation was performed on the locomotive bearing dataset from the Nanchang Railway Bureau, and the results show that the average accuracy of the proposed method reaches 98% with excellent diagnostic performance. Through cumulative frequency-band analysis of convolution kernels before and after training, the model's decision-making mechanism of adaptively adjusting to fault-characteristic frequency bands is revealed visually, which verifies that the proposed method not only enhances diagnostic performance but also realizes physical interpretability for the network's decision basis.
关键词:convolutional neural networks;interpretability;dua-l tree complex wavelet transform;fault diagnosis
摘要:Traditional two-dimensional models fail to accurately invert the internal magnetization field distribution of 3D structures in electromagnetic nondestructive testing. To solve this problem, a three-dimensional magnetic charge distribution inversion method was proposed for plate and tubular components. Firstly, discretized governing equations for 3D magnetization field distribution were derived based on the equivalent magnetic charge model. Secondly, spatial smoothness constraints were adopted to optimize the least-squares objective function and suppress non-physical oscillations in the inversion results. Thirdly, Tikhonov regularization was introduced to solve ill-posed problems, and an adaptive gradient-constrained least-squares inversion algorithm was developed. Finally, numerical simulations of plate and tubular models were conducted. A preset 3D normal magnetization field was adopted to calculate the magnetic induction intensity on detection surfaces, and white noise was added to simulate interference-contained detection signals. The simulated signals were inverted by the proposed algorithm. The results show that the coefficient of determination between inverted values and preset parameters of the plate model reaches 0.9941, with a maximum peak relative error of 4.925%.For the tubular model, the coefficient of determination of inversion results on both inner and outer ring detection surfaces is higher than 0.997, and the maximum peak relative error is only 2.406%.The method maintains controllable errors under noise interference and presents excellent robustness. The approach presented in this paper overcomes the limitations of conventional 2D inversion methods. It provides theoretical support and algorithmic references for subsequent stress distribution inversion and structural safety evaluation, and satisfies the engineering requirements of nondestructive testing for infrastructure.
关键词:equivalent magnetic charge model;three-dimensional magnetic charge distribution;Tikhonov regularization;spatial smoothness constraint
摘要:For the Boussinesq buoyancy approximation in natural convection problems, a robustnessenhanced and convergence-accelerated method was proposed for a pressure-based fully coupled velocity-pressure solver. The pseudo-transient continuation method was employed to solve steady-state computational fluid dynamics (CFD) problems. A physics-based calculation method, derived from the flow field characteristics, was developed to determine the pseudo time step, thus replacing the traditional empirically-dependent under-relaxation factors were replaced. The mathematical equivalence between this pseudo time step and the under-relaxation factors was clarified, which provides a more mechanism-optimized way to achieve convergence. During the discretization of the governing equations, a scale analysis based on characteristic velocity was introduced. By quantifying the physical effects of the diffusion, convection, and buoyancy terms in the Navier-Stokes equations, a specific calculation scheme for the pseudo time step tailored to natural convection problems was presented. Finally, two classic natural convection problems—the annular cavity and the trapezoidal cavity—were selected as validation cases. A systematic comparison was conducted between the proposed algorithm and a set of common under-relaxation factors (0.20,0.40,0.60,0.80,0.90,0.95) .The results demonstrate that, compared to the traditional under-relaxation factor approach, the proposed method exhibits remarkable adaptivity. Without any manual parameter tuning, the convergence efficiency of the proposed method is found to match or surpass that of the empirically determined optimal relaxation factors obtained through extensive trial calculations. Furthermore, it exhibits more consistent and stable performance in terms of convergence rate and residual control. This research provides a reliable path for steady-state CFD solvers, offering both self-adaptivity and optimal convergence characteristics, thereby significantly reducing the reliance on empirical parameter tuning inherent in traditional methods.
关键词:pseudo-transient continuation;boussinesq approximation;pseudo time step;underrelaxation factors
摘要:To alleviate the inhibitory effect of ammonium ions () on photo-fermentative hydrogen production,Rhodobacter capsulatusSB1003 was selected as the model organism. Ammonium-tolerant mutant strains were constructed via genetic engineering, and their hydrogen production performance was evaluated. The nitrogen fixation regulatory gene (nifA) was modified using overlap extension PCR (SOE-PCR) , generating three engineered strains:thenifA1 N-terminal deletion mutant ZX01, thenifA2 N-terminal deletion mutant ZX02, and the double-deletion mutant ZX03.These strains were inoculated into a hydrogen production medium with glucose as the carbon source and with different concentrations of ammonium sulfate and sodium glutamate as mixed nitrogen sources, and were cultivated under anaerobic and illuminated conditions for photo-fermentative hydrogen production. The hydrogen production performance, lag phase characteristics, and related gene expression profiles were comparatively analyzed under both ammonium-containing and ammonium-free conditions. The results show that at an ammonium nitrogen mass fraction of 20%, ZX03 achieves the highest cumulative hydrogen production of (801.80±60.40) mL·L-1 , representing a 22.7% increase compared with the wild-type strain. Gompertz kinetic modeling further shows that ZX01 exhibits the shortest lag phase (7.99±3.41) h, indicating significantly accelerated initiation of hydrogen production. Quantitative real-time polymerase chain reaction PCR (qPCR) analysis revealsthatunderhighammoniumconditions (concentrationof8mmol·L-1) , the transcription levels of nitrogen signal transduction genes (glnB1 andglnB2) in ZX03 are upregulated by approximately 220-fold relative to the wild type. In addition, genes associated with electron transport, includingrnfB , and the flavodoxin-encoding genefldA, are also markedly upregulated, indicating enhanced metabolic electron flux. Overall, these findings demonstrate that N-terminal deletion ofnifA1 primarily shortens the hydrogen production lag phase, whereasnifA2 N-terminal deletion enhances basal hydrogen production capability. Notably, the double-deletion mutant ZX03 exhibits the strongest ammonium tolerance and optimal hydrogen production performance under high ammonium stress by simultaneously upregulating nitrogen signaling and electron transport-related genes. This study provides a clear and effective molecular engineering strategy, as well as a theoretical foundation, for the development of robust, ammonium-tolerant, high-efficiency photo-fermentative hydrogen-producing strains.
摘要:To elucidate the influence of subcritical and supercritical water on the hydrogen production efficiency of the aluminum-water reaction and its underlying mechanism, and to address the currently unclear reaction mechanism under coupled multi-physics fields, a high-temperature and high-pressure sealed batch reactor system was established, and scanning electron microscopy (SEM) and X-ray diffraction (XRD) were employed to systematically characterize the phase composition and microstructure of the solid products. The rupture mechanism of the passivation layer on aluminum particles was investigated, and the effects of particle size, reaction temperature, medium density, and supercritical water environment on hydrogen production performance were clarified. The results show that the reaction products exhibit strong temperature and density dependence. In liquid water at 400—600 K, AlOOH is the dominant product, with minor amounts of Al (OH) 3and unreacted aluminum observed only at 400 K.In contrast, the product transforms completely into Al2O3in supercritical water at 773 K.Aluminum particle size significantly influences the hydrogen production performance of the Al-water reaction. Reducing the particle size from 154μm to 12μm significantly decreases both the onset reaction temperature and complete reaction temperature, with the latter decreasing from 600 K to 380 K.At 600 K, the hydrogen production efficiencies of 52 μm and 154μm aluminum powders in liquid water are 95.1% and 92.5%, respectively, which are significantly higher than those in water vapor (78.9% and 49.2%) .Heptane-coated aluminum particles exhibit negligible reactivity in subcritical water, whereas a high hydrogen production efficiency of 70.3% is achieved at 690 K in supercritical water. These findings indicate that particle refinement significantly reduces the reaction temperature, while liquid water and supercritical water environments effectively enhance the reactivity of the aluminum powder. Moreover, the reaction pathways and product evolution of the aluminum-water system differ under various environments, providing a theoretical basis for optimizing hydrogen production processes based on aluminum materials, for reactor design, and for mechanistic model development, and offering new insights for achieving low-temperature, high-efficiency hydrogen production from aluminum-based materials.
关键词:aluminum-water reaction;hydrogen production efficiency;supercritical water;reaction mechanism
摘要:To address the issue of mismatches between flue gas parameters and heat pump cycle working fluid characteristics caused by varying loads during the actual operation of gas-fired boilers, the performance of a compression heat pump for waste heat recovery from gas-fired boiler flue gas was investigated. A heat pump system was constructed as part of the flue gas waste heat recovery system of a 7 MW horizontal natural gas vacuum boiler. By combining experimental and process simulation methods, the effects of the heat pump refrigerant flow rate, pressure ratio, and boiler load on system performance were studied under boiler loads of 100%,75%, and 50%. The research results show that at 100% load, as the refrigerant flow rate increases, the waste heat recovery capacity of the heat pump initially increases and then plateaus, the coefficient of performance (COP) decreases from 7.08 to 5.94, and the system efficiency first rises rapidly to 106.8% and then declines gradually. As the high-side pressure increases, the COP and efficiency of the heat pump first drop to 1.97 and 101.1%, respectively, then rise rapidly to 8.09 and 107.2%, respectively, and subsequently fall to 5.56 and 106.4%, respectively. Changes in boiler load affect the refrigerant flow rate at which the waste heat recovery capacity reaches its peak, as well as the maximum values of COP and efficiency. Under boiler loads of 100%,75%, and 50%, the optimal operating conditions for the heat pump are as follows:refrigerant flow rates exceeding 3.40,2.30, and 0.68 kg·s-1, respectively, and high-side pressures exceeding 1020,900, and 820 kPa, respectively. This study provides a reference for the efficient operation of compression heat pump waste heat recovery systems for gas-fired boilers.
关键词:waste heat recovery;compression heat pump;flue gas;flow rate;pressure ratio
摘要:To address the challenges of renewable energy accommodation, supply reliability, and operational economyin large-scale renewable energy bases under wind-solar resource fluctuations, uneven temporal distribution, and power export constraints, the coordinated design and operational characteristics of an electricity-heat-hydrogen-ammonia integrated energy system were investigated. An integrated system model covering wind power generation, photovoltaic power generation, thermal power, molten-salt thermal storage, water electrolysis, ammonia synthesis, and multiple types of energy storage was established. A typical scenario generation method based on continuous time-window partitioning was developed, and a bi-level nested optimization framework integrating capacity configuration and dispatch was constructed. A boundary contraction inspection-based regional search algorithm was adopted to achieve the collaborative optimization of system capacity configuration and multi-scenario operational characteristics in a high-dimensional, large-scale solution space. Comparative optimization and simulation analyses were conducted for a conventional wind-solar-coal-storage system and the proposed system. The results show that introducing the hydrogen-ammonia subsystem increases the renewable energy share by 7.28%, reduces the curtailment rate by 35.3%, decreases coal consumption and carbon emission costs by 17.6%, and lowers the net unit energy cost by 0.023 yuan/ (kW·h) .Seasonal differences significantly affect system operation, with enhanced wind power in winter improving economic performance, while abundant solar power in summer intensifies accommodation pressure. In contrast, the electricityheat-hydrogen-ammonia system achieves superior accommodation levels and operational economy through multi-energy conversion and power export. Sensitivity analysis further shows that rising hydrogen prices shift the configuration strategy from scale expansion toward efficiency optimization, thereby increasing unit energy revenue.
关键词:large-scale renewable energy base;integrated energy system;coordinated design;electrolysis hydrogen production;ammonia synthesis
摘要:To address the issues of large mass, fragility under vibration, and resulting transmission efficiency loss of magnetic cores in wireless power transfer systems, a tri-objective optimization framework combining the non-dominated sorting genetic algorithm Ⅱ with finite element method, along with a hybrid ferrite-soft magnetic composite (SMC) double-layer magnetic core structure, was proposed. The high permeability and low-loss characteristics of both materials were fully exploited. First, a magnetic loss calculation model was established using the Steinmetz equation to define the optimization objectives under maximum transmission efficiency and electromagnetic safety constraints. Second, the magnetic core thickness was determined via parametric scanning, followed by discretized mesh generation and numbering preprocessing; a quarter-model was adopted to improve optimization efficiency. Finally, global optimization was performed with coupling coefficient, mean leakage flux, and core loss as objectives, while the volume fractions of SMC and air gap are used as constraints. The simulation results demonstrate that the proposed hybrid core structure reduces ferrite volume by 43.13%, increases the coupling coefficient by 0.26%, and decreases leakage flux, core loss, total mass, and total cost by 2.51%,40.60%, 24.37%, and 10.71%, respectively. The experimental results show that output power and efficiency are improved by 5.93% and 0.19% compared with conventional designs, along with strong wide-range power adaptability, which verifies the feasibility of the proposed framework and structure. This study provides a theoretical reference for the geometric optimization of magnetic materials in wireless power transfer applications.
关键词:wireless power transfer;joint simulation;multi-material double-layer magnetic core structure;discretized mesh division
摘要:To meet the demand for the ultra-trace point-of-care testing (POCT) of dopamine in clinical diagnosis and physiological research, and to address the limited sensitivity and poor engineering reliability of conventional devices, a dopamine electrochemical sensor based on a ZnS/graphene heterojunction was developed, achieving an ultra-low detection limit at the 100 pmol/L level. A transfer-freein-situconstruction strategy was adopted. Few-layer graphene was directly grown on a sapphire substrate via chemical vapor deposition. Subsequently, highly dense, preferentially oriented growth of ZnS nanocrystals, predominantly along the (111) plane, was achieved on the graphene surface using controlled oxygen plasma modification combined with pulsed electrodeposition. The results demonstrate that the formation of the in-situ heterojunction facilitates interfacial charge transfer and avoids the risk of interfacial contamination introduced by conventional transfer processes. The fabricated dopamine electrochemical sensor exhibits excellent detection performance, featuring a broad dynamic response range from 1 × 10-4to 1 × 103μmol/L, along with high stability and excellent selectivity against interferences from high concentrations of uric acid and ascorbic acid. Furthermore, the spiked recovery rates ranged from 96.0% to 102.4% in real-sample analysis using fetal bovine serum. This study provides a micro-nano device solution for the ultra-trace detection of dopamine in physiological fluids, lays a core hardware foundation for the further development of low-cost, high-precision integrated POCT medical terminals, and demonstrates significant application prospects in primary healthcare and personalized health management.
摘要:To address the problem of insufficient characterization of the viscoelastic properties of power transformer insulation spacers under dynamic loading, which makes it difficult to accurately calculate the transient vibration displacement of windings, the mechanical response of the insulation spacers under cyclic compression loading at different frequencies was systematically investigated. The results reveal that strain accumulates rapidly during the initial loading phase, and the mechanical properties gradually stabilize after entering the steady-state stage. Based on the experimental results, a Kelvin-Voigt series constitutive model that accounts for hyperelasticity, viscoelasticity, and time-varying viscosity coefficients was established, and an adaptive differential evolution algorithm was subsequently employed to identify the model parameters. The results demonstrate that the proposed constitutive model can accurately capture the rapid accumulation and subsequent saturation of viscous strain in insulation spacers during power transformer short-circuit impacts, and can also simulate the gradual strain recovery after the short-circuit event. The stress-strain curves calculated using the identified constitutive parameters show excellent agreement with the experimental data for the insulation spacers, with coefficients of determinationR2 exceeding 0.98 in all cases. This study provides an important theoretical basis and engineering reference for the short-circuit withstand capability design of power transformers and the accurate assessment of their operating conditions.
摘要:To investigate the influence of corona plasma density structure and spatiotemporal evolution on energy deposition and instability in the electrical explosion of wires, an electron density diagnostic system with high sensitivity and continuous temporal resolution was developed based on the principle of laser dispersion interferometry, to achieve accurate and continuous measurement of low-density corona plasma parameters. By utilizing the coaxial propagation of 1064 nm and 532 nm dual-wavelength lasers and the frequency doubling technique of potassium titanyl phosphate (KTP) crystal, stable common-path measurement without a reference arm was achieved. Multi-point diagnosis was carried out on the electrical explosion process of single silver wires, and the temporal evolution data of electron density of corona plasma at radial distances of 4 mm,12 mm and 15 mm were acquired. The results show that the lower detection limit of the system for electron line density reaches the order of 1013cm-2with a measurement error of less than 5%.Compared with traditional Mach-Zehnder interferometry, the detection performance is improved by nearly two orders of magnitude, enabling accurate diagnosis of low-density plasma in strong electromagnetic interference environments. As the radial distance increased from 4 mm to 15 mm, the peak electron density decreased from 8.5×1016cm-2to 0.7×1016cm-2.Based on the probe distances, the average expansion velocity of the corona front was calculated to be approximately 82.7 km·s-1, and the effective generation time of plasma was inversely deduced to be about 34 ns. It was confirmed that the formation of the corona plasma precedes the collapse of the voltage waveform, and that a low-density conductive channel is preferentially formed on the wire surface before the violent phase transition of the wire core. These results provide crucial experimental evidence for an in-depth understanding of the early current shunting mechanism and the initial perturbation source of subsequent instability development, and lay a foundation for an accurate core-corona structure model for electrical explosion of wires.
关键词:laser dispersion interferometry;electrical explosion of wires;electron density measurement;corona plasma;core-corona structure
摘要:To address the complex spatio-temporal coupling relations and frequent multi-source uncertainties (e.g., equipment failures and processing time fluctuations) in the production-logistics synchronized scheduling of matrix cellular manufacturing systems, a multi-scenario multi-objective robust optimization approach was proposed. First, a scenario-based method was employed to characterize multi-source uncertainties, and a multi-objective robust optimization model was developed to minimize the order synchronization time, production-logistics synchronization time, and makespan. Second, a multi-scenario robust simulated annealing (MRSA) algorithm was designed, incorporating a self-adaptive weight adjustment mechanism to dynamically smooth dimensional differences among multiple objectives. By monitoring the normalized deviation of the population in each objective dimension, the algorithm achieves an efficient and balanced search of the solution space. Simulation experiments across various problem scales demonstrate that, compared to the nominal deterministic model, the proposed robust scheduling model improves the conditional value at risk (CVaR) of core indicators (e.g., makespan) by over 45% under low, medium, and high uncertainty scenarios. Furthermore, compared to the fixed-weight multi-scenario simulated annealing (FW-MSA) algorithm, MRSA achieves a significant 20%—40% improvement in key performance indicators (KPIs) .The results confirm that the proposed model and self-adaptive algorithm effectively optimize both production efficiency and risk mitigation.
摘要:To address the problems of complex adjustment and limited outcomes associated with existing rotational error measurement methods, an absolute coordinate measurement method based on binocular vision was proposed to enable accurate and synchronous measurement of the five-degree-of-freedom (5-DOF) rotational errors of precision rotary axes. A binocular vision system was adopted to capture the images of the target as it moves with the rotary axis. The absolute coordinate trajectories of the target spherical centers in the world coordinate system were accurately obtained through sub-pixel edge detection, least-squares center fitting, and threedimensional coordinate reconstruction. An evaluation coordinate system was constructed with reference to the average axis line of the target, and a rotational error evaluation model based on absolute coordinate trajectories was developed to quantify the rotational errors of the precision rotary axis. The results show that all rotational errors measured by the proposed method at different rotational speeds are in good agreement with those obtained by the comparison method:the maximum measurement deviation of radial rotational error is 5.3 μm, corresponding to a deviation percentage of 18.5%; the maximum measurement deviation of axial rotational error is 1.5 μm, corresponding to a deviation percentage of 11.8%; the maximum measurement deviation of tilt rotational error is 0.0041°, corresponding to a deviation percentage of 8.1%.All measurement deviations lie within the estimated range of measurement uncertainty, indicating that the proposed binocular vision measurement method exhibits high reliability. This research provides a solution for the geometric accuracy assessment of rotary axes.
摘要:To address structural failures in high-gmicro-electro-mechanical system (MEMS) accelerometers under extreme shock environments, a reliability analysis method using the phasefield fracture model was proposed. Based on phase-field fracture theory, a reliability analysis workflow encompassing failure mode identification, crack evolution simulation, structural improvement, and re-validation was established. The micro-scale processes of crack initiation and propagation were quantitatively and visually characterized through static and transient analyses combined with a phase-field fracture model. The numerical results were comparatively validated against three-dimensional high-gshock test results. On this basis, a fillet improvement design was proposed for the high stress concentration region at the torsion-beam root, and the fracture resistance of the improved scheme was evaluated via static and transient re-analysis together with phase-field fracture-based comparative validation. The results indicate that pronounced stress concentration at the torsion-beam root is the dominant region governing crack initiation and propagation, thereby revealing the relationship between stress concentration and crack evolution. The proposed beam-root fillet improvement design reduces stress concentration by approximately 18% and delays crack propagation by about 40%, thus improving the fracture resistance reliability of the sensor under high-gimpact conditions. This study provides a feasible solution for the reliability analysis of high-gMEMS accelerometers.
关键词:Micro-Electro-Mechanical system accelerometer;high-gshock;phase-field fracture model;reliability analysis
摘要:To address the problems of insufficient registration accuracy of unsupervised methods, heavy reliance of weakly supervised methods on high-quality segmentation labels, and inability of labels generated by foundation segmentation models to directly and stably guide registration training in 3D medical image registration, a segment anything model (SAM) -guided weakly supervised mutual learning method for 3D medical image registration was proposed. First, masks of major anatomical regions were extracted from different views using the SAM, and intersection and union masks were constructed through mask fusion to represent structural prior information at different granularities. Second, a mutual-learning mechanism was introduced into the weakly supervised registration framework, and a module integrating confidence and position information was embedded to promote knowledge distillation and collaborative optimization between registration models under different mask supervision, thereby enabling effective utilization of complementary information and improving training stability. Finally, experimental results on three brain image datasets demonstrate that the proposed method can fully utilize label information while maintaining stable training, and outperforms existing 3D image registration methods in terms of regional overlap, with the Dice coefficient improved by approximately 5%, indicating higher registration accuracy and reliability.
摘要:To address the problems of low real-time solution efficiency of control performance evaluation indicators and difficulty in adaptive adjustment of control weighting coefficients for the optimal control of active suspensions in in-wheel-motor-driven electric vehicles (IWMD-EVs) , an optimal control weighting coefficient design method based on analytical calculation was proposed. First, based on a three-degree-of-freedom active suspension model of IWMD-EVs, the analytical formulas for the root mean square (RMS) values of the vehicle body vertical acceleration, suspension dynamic stroke, and tire dynamic displacement for optimal control-based IWMD-EV active suspension systems were derived using random vibration theory and the residue theorem integral solution method. Then, from a theoretical analysis perspective, the complex problem of solving the control weighting coefficients was transformed into a problem of solving the same-scale quantization coefficients and the performance evaluation weighting coefficients. An adaptive adjustment method for optimal control weighting coefficients of IWMD-EV active suspension systems based on analytical calculation was established, by which rapid dynamic adjustment of control weighting coefficients is realized with changes in vehicle driving conditions. Finally, the reliability of the established method was verified through bench tests. The results show that the maximum deviation between analytical calculation results and experimental test results is within 8%, indicating that the established RMS analytical formulas are correct and reliable; compared with traditional linear quadratic Gaussian control andH∞ control methods, the proposed method significantly improves the ride comfort of IWMD-EVs under different driving conditions. This study provides a new approach for the design of optimal control-based IWMD-EV active suspension systems.
摘要:To address how the ratcheting effect—caused by cumulative plastic strain from asymmetric cyclic stresses under multiple start-stop cycles—seriously affects the structural life of reusable liquid rocket engine turbine disks, a structural damage analysis was conducted on turbine disks under reusable operating conditions. Based on the Chaboche kinematic hardening model, the mechanical response of the turbine disk under cyclic loading was characterized, and the ratcheting behavior of the structure was systematically analyzed in conjunction with the stressstrain evolution law. By quantifying the damage caused by the ratcheting effect, the structural damage state was assessed using the linear cumulative damage theory. The research results show that under multiple start-stop cycles, the trailing-edge blade root region is at a higher risk of failure. Ratcheting damage is greatest in the initial cycles and then gradually decreases before stabilizing. Cumulative ratcheting damage exhibits a nonlinear evolution with cycle number, as the damage increment gradually decreases over cycles. Over the 10 cycles considered, as the ratcheting strain increment decreases, the proportion of ratcheting damage gradually decreases, while the proportion of fatigue damage gradually increases to over 96% with cycle number. This study provides a theoretical basis for the structural damage assessment and life prediction of reusable rocket engine turbine disks.