A5051571876- Advanced machining processes and optimization
- Gear and Bearing Dynamics Analysis
- Industrial Vision Systems and Defect Detection
- Machine Fault Diagnosis Techniques
- Iterative Learning Control Systems
- Welding Techniques and Residual Stresses
- Manufacturing Process and Optimization
- Advanced Surface Polishing Techniques
- Non-Destructive Testing Techniques
- Digital Transformation in Industry
- Reliability and Maintenance Optimization
- Tribology and Lubrication Engineering
- Engineering Technology and Methodologies
- Adhesion, Friction, and Surface Interactions
- Advanced Machining and Optimization Techniques
- Catalytic C–H Functionalization Methods
- Radical Photochemical Reactions
- Metal Alloys Wear and Properties
- Mechanical Engineering and Vibrations Research
- 3D Shape Modeling and Analysis
- Additive Manufacturing and 3D Printing Technologies
- Software Reliability and Analysis Research
- Product Development and Customization
- Advanced Statistical Process Monitoring
- Graph Theory and Algorithms
Sichuan University of Science and Engineering
2025
Jiangsu University of Science and Technology
2018-2024
Northwestern Polytechnical University
2021-2023
Jiangsu University
2021
Gyeongsang National University
2014-2018
Carboxylic acids are bench-stable and readily available chemical feedstocks that function as optimal fundamental synthetic platforms for the construction of C(sp3)–C(sp3) bonds via decarboxylation processes. We present a novel practical protocol decarboxylative alkylation Morita–Baylis–Hillman acetates with various carboxylic photoinduced iron-mediated ligand-to-metal charge transfer (LMCT) process under redox-neutral conditions. This method exhibits remarkable tolerance to wide array acids,...
Herein, a visible light-induced and metal-free strategy for the direct decarboxylative allylic alkylation of Morita–Baylis–Hillman acetates with aliphatic acids under redox-neutral conditions has been developed.
Casting defects in turbine blades can significantly reduce an aero-engine’s service life and cause secondary damage to the when exposed harsh environments. Therefore, casting defect detection plays a crucial role enhancing aircraft performance. Existing methods face challenges effectively detecting multi-scale handling imbalanced datasets, leading unsatisfactory results. In this work, novel blade method is proposed. This based on transformer with fusion attention mechanism, considering...
In order to study the frictional behavior of a roller linear motion guide (RLMG) in mixed elastohydrodynamic lubrication (EHL), micro–macro contact analysis is employed analyze parameters at surface, such as load and deformation, shear stress due sliding effect, lubricant. Then friction model developed via combination local with analysis. The effectiveness was validated by experimental results. Stribeck RLMG analyzed detail. Furthermore, effects geometrical operating conditions on are...
The current assembly process of marine diesel engines is low in intelligence and the control chart pattern classifier with unstable performance, which makes it difficult to identify quality pattern. This paper proposes a new diagram recognition method based on an adaptive decision model address these problems. Through characteristics changes engine analyses, triangular norm used fuse extracted shape features statistical reduce influence data fluctuation imbalance recognition. An fusion...
During the assembly design of complex products, process data management is disordered and expression not standardized, depends mainly on experience technical personnel resulting in a lack unified source, low efficiency, automation. This paper proposes feature-based information model to address these problem, providing standardized original for product 3D-assembly design. Taking geometric feature mating faces as study object, overall structure products requirements each stage were analyzed...
Material removal rate (MRR) and surface roughness (Ra) of sink electric discharge machining (EDM) were investigated using experimental design energy method. This study is focused on the effects peak current, time, off during discharging HP4MA material. Mathematical models developed for prediction Ra MRR based response methodology (RSM). was proposed method that compared to RSM model results. The results indicated both can be used predict EDM accurately.
The design efficiency of the technological equipment determines product development cycle, and its scheme relies mainly on experience designer. This study proposes a rapid method for intelligent configuration fixture bill material (BOM) structures based machine learning. Firstly, technical support CAD system are introduced, which consists model route planning required design. Secondly, process is established through model-based definition (MBD). angle cosine algorithm n-dimensional vector...
The casting defects of production can significantly reduce service life and cause secondary damage under harsh environments. However, existing defect detection methods face the challenges in effectively detecting multi-scale random spatial positions, which leads to a deterioration performance. To address above issues, we propose novel dynamic receptive DETR (DR-DETR) for detection. Firstly, an adaptive brightness adjustment gamma correction (ABAGC) module is proposed enhance low-contrast...
With the wide application of computer-aided manufacturing (CAM) software, enterprises have accumulated a wealth numerical control (NC) programming data, providing valuable knowledge resources for new products’ development. Efficiently acquiring and reusing existing NC is essential enhancing efficiency, improving product quality, shortening cycles. This study proposes an intelligent method based on graph. Firstly, relevant in domain analyzed, CAM elements are constructed to reduce granularity...