online measurement
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2022 ◽  
Author(s):  
Evan Wenbo Zhao ◽  
Edward J. K. Shellard ◽  
Peter A.A. Klusener ◽  
Clare P. Grey

We report two methods, including NMR spectroscopy and direct magnetic susceptibility measurement, for in situ (strictly online) measurement of the state of charge of redox flow batteries. These methods are...


10.30544/757 ◽  
2021 ◽  
Vol 27 (4) ◽  
pp. 411-423
Author(s):  
Tatjana Mirkovic ◽  
Hauke Bartusch ◽  
Pavel Ivashechkin ◽  
Thorsten Hauck

At blast furnace B at Salzgitter Flachstahl a series of innovative measuring techniques are installed to monitor the processes at the blast furnace top, making this furnace one of the best equipped furnaces in Europe. These techniques comprise full 2D measurement of the temperature profile of the top gas shortly above the burden surface, 3D radar scan of the whole burden surface and online measurement of the dust concentration in the top gas. After more than 5 years’ experience with most of these techniques, they enable to better understand the complex chemical and physical interrelations occurring in the BF stack between the ascending process gas and the descending solid burden. A couple of examples of incidents that were monitored are presented in this article, including influences of charging programmes on top gas temperature profiles and influences of disturbed gas solids interaction on the BF working state. The new measuring techniques with tailor-made data processing enable the operators to gain a better picture of the processes currently occurring in the blast furnace, consequently supporting them in keeping the blast furnace operation as stable and efficient as possible.


2021 ◽  
Author(s):  
Dongliang Liu ◽  
Peng Zheng ◽  
Manyi Cao ◽  
Zhiyong Zhang ◽  
Yingjie Xu

Abstract In order to solve the problem that the error evaluation delay and the size and roundness of workpiece can not meet the processing requirements at the same time in online measurement. First this paper proposes an online fusion control method for the size and roundness error of workpiece, which can not only improve the processing efficiency, but also improve the consistency of workpiece quality. Then, the Long Short-Term Memory(LSTM) is used to predict the workpiece information of online measurement, and the error is calibrated according to the predicted value. The LSTM is used to predict the workpiece information in real time, and the process parameters are adjusted in time when the prediction value is out of the theoretical boundary to avoid error accumulation. Finallyr the online grinding measurement experiment based on the LSTM is designed and carried out, and the relationship between the dimension of input tensor and the prediction accuracy is analyzed through the experimental results. The results show that the LSTM can accurately predict the grinding size sequence and roundness sequence, and has good universality. The small batch machining is carried out according to the experimental results. Statistical analysis shows that the grinding accuracy is significantly improved by using the fusion prediction and calibration method.


2021 ◽  
Author(s):  
Mustafa Aziz ◽  
Reyah Abdula ◽  
Mohamad Al-Dujaili

Abstract A high-sensitivity, low-power and portable coiled-tubing (CT) inspection tool is developed based on magnetic flux leakage (MFL) technology. The tool provides enhanced real-time integrity monitoring of CT operations to minimize the risks of unexpected failures and enable efficient management of CT operations. This paper discusses practical design and engineering considerations to enhance the sensitivity of the magnetic inspection head, including magnetic characterization of the CT material, pole-piece separation, parametric calculations of the gap field, eddy currents, and MFL signal bandwidth. Experimental measurements illustrate the capability of detecting defects down to 1 mm in diameter and depth in a 1.5" CT pipe.


2021 ◽  
Author(s):  
Apelian Clément

This paper presents French norms for the online version of the Sussex-Waterloo Scale of Hypnotizability. This scale is an online adaptation of the well-established Waterloo-Stanford Group C scale of hypnotic susceptibility with both behavioural and subjective scores. Insofar as hypnotizability (the ability to respond to suggestions in a hypnotic context) varies substantially in the general population and remains generally stable throughout life, it is important to measure it in experiments using hypnotic suggestion. However, these scales are time consuming, as they often require multiple sessions in order to achieve a suitable sample size for subsequent participant screening. One promising route for overcoming this inconvenience is to perform hypnotizability assessment online. The Sussex-Waterloo Scale of Hypnotizability is the first to have demonstrated the viability of online measurement. We show that our translation of this scale yields similar statistics. Alongside recent critics of the classic scales of hypnotizability, we point to limitations of this scale and discuss ways of accommodating some of its drawbacks.


2021 ◽  
Vol 2101 (1) ◽  
pp. 012016
Author(s):  
Tingting Gu ◽  
Xiaoming Qian ◽  
Peihuang Lou

Abstract According to the structural characteristics and production requirements of the crankshaft, the online measurement platform of crankshaft was built. The multi-station assembly line is developed to measure, to mark and to classify the parameters and measurement elements of the crankshaft. In addition, SPC software is designed to perform mathematical statistics and analysis on the measurement information. It can distinguish between normal fluctuations and abnormal fluctuations in the production process, can inform the fluctuation state to determine whether it should be adjusted, can compare the fluctuations and provide direction for improvement. Finally, through multiple measurement experiments, the feasibility and effectiveness of the synchronous measurement scheme and data processing method proposed in this paper are verified. The experimental results show that GR&R is less than 9.3%, and measurement accuracy is less than or equal to 1μm.


Author(s):  
Xiyu Yang ◽  
Quan Dong ◽  
Jingdong Song ◽  
Tanqing Zhou

Abstract As a state-of-the-art injection technology, high-pressure common rail injection system (HPCRIS) has advantages including high injection pressure, adjustable injection timing and flexible injection rate. Nevertheless, the fluctuation of cyclic fuel injection mass (CFIM) in HPCRIS with multiple-injection strategy (MIS) reduces the economy of diesel engine and the stability of vibration and noise control. To realize the precise control of CFIM, the online perception of injection process is the premise. This paper presents an innovative online measurement method of injection rate on MIS. According to the evolution characteristics of water hammer pressure oscillation in the fuel system, the rule is found that the oscillation form of the water hammer is depended on the structure of HPCRIS rather than the injection condition, and the general applicability of this rule is proved by the hydraulic-electric analog method. Base on this, the real-time simulation method of the pilot water hammer oscillation wave in the same field is proposed to realize the extraction of the expansion pressure signal components of the main injection. Then the direct mathematical relationship between pressure signal and fuel injection rate is established, and the online measurement of fuel injection characteristics under MIS is realized. To improve the robustness of the algorithm a real-time calibration method of fuel sound velocity is proposed. Finally, by comparing with the offline experiment, this online measurement method of injection rate has relatively high accuracy, the CFIM error is less than 2%, and the fitting goodness of the injection rate curve exceeded 0.91. This measurement method can provide direct feedback to the electronic control unit (ECU) on the fuel injection process without changing the HPCRIS structure.


2021 ◽  
Vol 51 (9) ◽  
pp. 1438
Author(s):  
磊 王 ◽  
云秋 张 ◽  
丙凤 徐 ◽  
逸卿 徐

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