A5035974221- Probabilistic and Robust Engineering Design
- Fatigue and fracture mechanics
- Gear and Bearing Dynamics Analysis
- Reliability and Maintenance Optimization
- Advanced Measurement and Detection Methods
- Machine Fault Diagnosis Techniques
- Optical Systems and Laser Technology
- Hydraulic and Pneumatic Systems
- Concrete and Cement Materials Research
- Wind and Air Flow Studies
- Infrared Target Detection Methodologies
- Advanced MIMO Systems Optimization
- Mechanical Failure Analysis and Simulation
- Vibration and Dynamic Analysis
- Tribology and Lubrication Engineering
- Drilling and Well Engineering
- Structural Response to Dynamic Loads
- Fluid Dynamics and Heat Transfer
- Tailings Management and Properties
- Software-Defined Networks and 5G
- Advanced machining processes and optimization
- Electrowetting and Microfluidic Technologies
- Lignin and Wood Chemistry
- Advanced Wireless Network Optimization
- Lubricants and Their Additives
Beihang University
2021-2025
Wuhan University of Science and Technology
2023-2024
University of Shanghai for Science and Technology
2021-2023
Ningbo University of Technology
2023
Hebei University of Technology
2021
Sinopec (China)
2021
University of Illinois Chicago
2016-2018
University of California, Davis
2016
University of Technology Sydney
2016
China Aerospace Science and Technology Corporation
2010
Phosphogypsum is an industrial waste generated in the production of fertilizers causing environmental problems. Calcined phosphogypsum (CPG) obtained by low-temperature calcination and dehydration phosphogypsum. CPG mainly used to produce building materials. However, mechanical strength properties water resistance materials extremely poor, which leads its relatively low utilization rate construction industry. To address this issue, various amount Ordinary Portland cement (OPC), fly ash (FA),...
Bearing is one of the most important supporting components in mechanical equipment and its health status has a significant impact on overall performance equipment. The remaining useful life (RUL) prediction bearings critical adopting condition-based maintenance strategy to ensure reliable operation. To accurately predict RUL bearings, this paper proposes two-stage Gaussian process regression (GPR) model, which combines flexibility physical mechanism Wiener process. Compared with conventional...
In mechanical engineering field, sealing technology is of vital importance for the success a product. A poor design slipper-swash plate friction pair (SSPFP) could lower reliability hydraulic piston pump and lead to failure pump. this paper, reliability-based robust method SSPFP in pumps first established. The matrix expression relation between numerical characteristics state function random variables derived. Methods calculating analyzing sensitivity are provided. Then, formulated as...
Mechanical vibrations and flow fluctuation give rise to complex interactive vibration mechanisms in hydraulic pumps. The working conditions for a pump are therefore required be improved the design stage or as early possible. Considering structural features, parameters, operating environment of plunger pump, modes two-degree-of-freedom system were established by using theory technology. Afterwards, analytical form natural frequency numerical solution steady-state response deduced pump. Then,...
Research on the reliability of a hydraulic piston pump is still uncertain. In this article, matrix random moment method for design was deduced according to vector algebra theory, model friction pairs (the specific work set as state function) established, and new analysis provided equipment. addition, variable relational expression digital characteristics function slipper swash-plate modified into simplify calculation procedures, sensitivity information obtained based simulation contrasted...
The fourth-order moment method for reliability analysis of structural systems can be practically applied to effectively address the problem calculation and with insufficient probability data. For complicated problems, however, this lead inaccurate unstable results. In paper, an improved high-order statistical data is presented. presented inferred using properties standard normal distribution parameter therefore possible obtain more stable accurate indexes a system Two numerical examples are...
Mobile Virtual Network Operators (MVNOs) serve their customers by leasing resource from physical (MNOs). Guaranteeing service quality connecting to appropriate MNOs based on performance is important for MVNOs, but obtaining accurate statistics of all costly. In this paper, we study the scheduling problem with QoS constraints MVNOs without a priori knowledge system such as traffic and quality. We propose Learning-Aided Scheduling (LSchd) algorithm Lyapunov optimization approaches. show that...
The vibrations in hydraulic pipeline systems inevitably involve the interaction between two‐phase media of a solid and fluid. fluid flowing generates pressure on wall thus causes vibration deformation pipeline, which turn changes flow condition, thereby cyclically affecting motion making system vulnerable to damage. Therefore, it is great theoretical practical value investigate behavior characteristics systems. In this study, flow‐induced are investigated based Housner’s differential...
Abstract Electrohydrodynamic (EHD) printing has great potential to be used in the field of electronic industry, precision optics and biological engineering. However, it is still a challenge achieve high scaling ratio for line patterns production by EHD jet technique, which can effectively prevent needles blocked. In this paper, influence key process parameters on width was investigated. The needle with inner diameter 890 μm used, 3.02 printed optimizing parameters. between up 295 times. At...
Accurate prediction and uncertainty quantification (UQ) of bearings’ remaining useful life (RUL) are essential for the safe operation critical machinery. Conventional machine-learning-based UQ methods RUL involve specialized designs multiple inference iterations, reducing prognostic efficiency in engineering applications. Accordingly, this study presents a novel sparse Gaussian process regression (GPR) method that uses time-aware spatiotemporal kernel to predict bearing with UQ. The...
Abstract The detection of residual nuclei in decellularized extracellular matrix (dECM) biomaterials is critical for ensuring their quality and biocompatibility. However, current evaluation methods have limitations addressing impurity interference providing intelligent analysis. In this study, we utilized four staining techniques—hematoxylin-eosin staining, acetocarmine the Feulgen reaction 4’,6-diamidino-2-phenylindole staining—to detect dECM biomaterials. Each method was quantitatively...