A5006559658- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Advanced Machining and Optimization Techniques
- Combustion and flame dynamics
- Thermochemical Biomass Conversion Processes
- Advanced Measurement and Metrology Techniques
- Machine Fault Diagnosis Techniques
- Advanced Combustion Engine Technologies
- Metal Alloys Wear and Properties
- Radiative Heat Transfer Studies
- Wireless Sensor Networks and IoT
- Fault Detection and Control Systems
- Soil Carbon and Nitrogen Dynamics
- Fire Detection and Safety Systems
- Heat transfer and supercritical fluids
- Advanced Numerical Analysis Techniques
- Hand Gesture Recognition Systems
- Freezing and Crystallization Processes
- Plant and animal studies
- Wind and Air Flow Studies
- Chromium effects and bioremediation
- Advanced Measurement and Detection Methods
- Metallurgy and Material Forming
- Atmospheric chemistry and aerosols
- Environmental and Agricultural Sciences
Huanghuai University
2019-2025
Henan Polytechnic University
2025
Natural Resources Canada
2009-2024
Nanjing University of Aeronautics and Astronautics
2023
Lanzhou University
2022
Hexi University
2022
Zhumadian Central Hospital
2021-2022
Harbin University of Science and Technology
2016-2019
Chatter, a type of self-excited vibration, deteriorates surface quality and reduces tool life machining efficiency. Chatter detection serves as an effective approach to achieve stable cutting. To address the low accuracy in chatter caused by limitations both one-dimensional temporal two-dimensional image modal information, this study proposes multi-modal denoised data-driven milling method using optimized hybrid neural network architecture. A data denoising model combining Complementary...
The occurrence of chatter in the machining process accelerates tool wear and breakage, reduces service life tools machine surface accuracy workpieces. Therefore, how to quickly accurately detect adjust parameters prevent has become a research hotspot today. This article proposes new method state milling by using sensor signal sensitive feature data set Mahalanobis-Taguchi System. First, for extracting comprehensive characteristics nonlinear time-domain signals cutting is proposed. can...
Integrated gasification combined cycle (IGCC) with carbon capture and storage (CCS) is a viable greenhouse gas control technology in using coal for power and/or hydrogen generation. This work describes the development of pilot-scale pressurized entrained flow facility parallel computational fluid dynamics (CFD) based simulation capability purpose advancing commercial technology. The approach, its present predictive performance potential areas further improvement are presented.
Milling is a kind of interrupted cutting. When the tool cuts into workpiece, it often accompanied by instantaneous impact, which results in impact vibration milling system. Meanwhile, wear will occur gradually on flank face with cutting progress. The and affect morphological characteristics machined surfaces. In present work, force obtained introducing italic model single degree freedom, free x y directions under combining damped equation. solving dynamic equation system fourth-order...
The effects of biomass ratios, coal types, and furnace temperatures on the combustion NO emission characteristics blends were investigated using a customized thermogravimetric analysis system which can measure burning profiles emissions simultaneously, at constant temperature. results indicated that blending with coals could improve rate coals, especially anthracites. Also reduce for all types coals. With increase ratio in coal–biomass blends, was found to increase, both burnout time final...
Internet of Things (IoT) has brought changes in many fields by joining physical space with the cyber space. The IoT devices are becoming increasingly complex. With rapid deployment cameras, tasks like visual information more important, but have limited computing resources, including power, ability, storage, etc. Some that might be perfectly normal to perform on a computer would rather challenging an device. Therefore, how maintain acceptable performance while minimizing resources is...
The traditional analytical method has difficulty in accurately modelling cutting chatter. This paper constructs the vibration datasets of different chatter states and establishes a machine learning (ML) model for identification, treating physical signal as input. Specifically, was converted into time-frequency spectrum, which then classified by self-designed deep residual convolutional neural network (DR-CNN). After that, broken down bands through variational mode decomposition (VMD)....
In the intermittent machining of hardened steel for die and mold industry, determining how to reduce wear PCBN (Polycrystalline Cubic Boron Nitride) tools improve their efficiency quality is an important subject. This study investigated (Cr12MoV, 59HRC (Rockwell hardness)) using uncoated determine cutting performance (cutting force, chip morphology, surface quality, tool life, temperature) wear/damage characteristics tools. The results showed that a was better than cemented carbide tool....
Aiming to solve the problem whereby damping process effect is significant and difficult measure during low-speed machining of titanium alloy thin-walled parts, ploughing coefficient flank face obtained based on frequency-domain decomposition (FDD) measured vibration signal energy balance principle, then process-damping prediction model obtained. non-linear change dynamic characteristics a workpiece caused by material removal in established structural modification method. Meanwhile, studied,...