Limiting and preventing oral diseases remains a major challenge to the health of populations around world, so finding ways detect early-stage (e.g., caries, periodontal disease, cancer) aiding in their prevention has always been an important clinical treatment concept. The development application electrochemical detection technology can provide support for early non-invasive diagnosis make up shortcomings traditional diagnostic methods, which are highly sensitive, non-invasive,...

With the advancement of society and people’s knowledge oral health, prevention illnesses such as dental caries, periodontal disease, cancer, mucosal salivary gland so on has become primary focus current health status treatment. Although treatment for these diseases focused removing lesions or inhibiting progression, early detection always been clinical research. And non-invasive diagnosis is now goal diagnosis. Meanwhile, electrochemical approach can satisfy this need while also achieving a...

SYNOPSIS We present an optimal oxygen-blowing system with expert rules to improve the efficiency of refining low-carbon ferrochrome. A nonlinear model based on mass transfer theory, principles heat transfer, and high-temperature chemical reactions for ferrochrome are established. The is mainly used control oxygen supply rate during argon-oxygen top-bottom double-blown refining, thereby controlling temperature reducing carbon content. Twenty production tests using a 5 t furnace demonstrate...

During the smelting process of AOD furnace, unbalanced reaction material will lead to occurrence splashing. It not only damage equipment but also seriously injure personnel. In this study, first, information liquid level, audio and vibration are detected by multiple sensors respectively. Then fused is used forecast Finally, multitasking fuzzy controller suppress The results show that method forecasting suppressing splashing can accurately achieve rapid suppression. Thus efficiency be improved.

Accurate prediction of the end-point temperature and carbon content AOD furnace is great significance to raise hitting rate end-point. Based on refining practice, predictive model low Chromium iron making based BP neural network was put forward. The results showed that much accurate applicable.

This paper presents an improved internal model control system to raise the efficiency of refining low-carbon ferrochrome. comprises a piecewise linearized transfer function and controller based on optimized time constant filter. The is mainly used oxygen supply rate during argon-oxygen for controlling smelting temperature. regulatory performance servo two closed-loop schemes are compared between filter 0000-0002-7606-6546and fixed constant. simulation analysis shows that optimization...

In order to control the end-point carbon content in process of argon–oxygen refining ferrochromium alloys, according mechanism model oxygen supply rate and variation, argon two gases molten iron temperature this paper proposes an improved multivariable inference system uses expert realize automatic adjustment filter time constant reasoning controller. The simulation results show that method can ensure stability without errors maintain furnace below maximum withstanding temperature, further...

In order to ensure the purity of distillation products, we need control wiped film speed thickness evaporation film. Thus could realize automation multistage molecular distillation. The BP(back propagation) neural network PID adaptive motor is presented. It satisfy requirements automatic production technology in Experiment results indicates that method has higher precision and better dynamic characteristic when it used controlling system.

Through analysis the principle of temperature measurement which was based on CCD image sensor, mathematic model with established. Then according to character CCD, amended in bandwidth and gray body assumption. Experimental results show that during their own service furnace hit rate prediction method Argon-Oxygen Decarburization refining end-point flame is higher than Artificial experience. This way measuring by accurate. Therefore it has very wide application spaces)

During the smelting process of AOD furnace, unbalanced reaction material will lead to occurrence splashing. It not only damage equipment, but also seriously injure personnel. In this study, first, information liquid level, audio information, and vibration are detected by multiple sensors respectively. Then, fused is used forecast Finally, multitasking fuzzy controller suppress The results show that method forecasting suppressing splashing can accurately achieve rapid suppression. Thus,...

To improve the quality and efficiency of sintering porcelain teeth, an improved control method for internal mold is proposed. The system mainly used to precisely temperature teeth. dynamic performance steady-state two closed-loop schemes, model controller (IIMC) based on Gray Wolf optimization algorithm conventional PID controller, are compared. results show that optimized filtering time constant shortens response time, improves stability anti-interference capability furnace system,...

In the process of argon-oxygen refining low carbon ferrochrome, temperature and content control end point are core whole blowing process, however is very complex, multiphase high boundary conditions constantly changing in molten iron can not be detected continuously online, reaction affected by many uncertain factors ,it brings great difficulty to for above question, Based on mathematical models, this paper presents an adaptive fuzzy neural network inference method, Control iron, select as...