Liquid Level Research Articles

Highly sensitive liquid level and temperature sensors based on all-fiber intermodal interferometers

Abstract Fiber optic-based precise measurements of liquid level and temperature are crucial for remote controlling in pharmaceutics, chemistry, and bromatology. Thus, it is essential to monitor liquid level and temperature simultaneously. In this paper, we propose all-fiber intermodal interferometers for highly sensitive liquid level and temperature measurements. We fabricated two different structures of single mode fiber-no core fiber-single mode fiber (SMF-NCF-SMF). One of them was used to measure the liquid level when the liquid soaked the NCF, and the other one was further coated with PDMS thermal-optic material and utilized to detect temperature. The measurement sensitivity of liquid level was 580 pm/mm within the range of 0-20 mm, while that of temperature was 1 nm/°C within the range of 28-51°C. A matrix was finally obtained by demodulating the measurements of liquid level and temperature. The proposed liquid level and temperature sensors, exhibiting the merits of high sensitivity, easy fabrication, and low cost, could be a candidate for precise and remote monitoring of liquid levels.

Pengaruh Profitabilitas dan Likuiditas Terhadap Nilai Perusahaan pada Sub Sektor Perbankan di Indonesia

This study aims to examine the effect of profitability and liquidity on firm value in 22 banks listed on the Indonesia Stock Exchange during the period 2018-2023. Profitability is measured by Return on Assets (ROA) and Return on Equity (ROE), while liquidity is measured by Loan to Deposit Ratio (LDR) and Debt to Equity Ratio (DER). Firm value is proxied by Price to Book Value (PBV). Multiple linear regression analysis is used to test the research hypothesis. The results showed that profitability (ROA and ROE) and liquidity (LDR and DER) have a positive effect on firm value. This study underscores the importance of maintaining healthy profitability and liquidity levels for banks to increase their firm value.

Liquidity and Cost Advantage of Green Bonds

The prevailing scholarly consensus suggests that green bonds benefit from a “green premium” by offering a financing cost advantage over conventional bonds. However, our empirical study reveals significant differences in liquidity between green and conventional bonds that could affect this cost advantage. We investigate the variations in liquidity levels between these bond types and explore how these disparities influence the advantage in financing costs associated with green bonds. The findings show that, due to their unique attributes, green bonds tend to have lower liquidity than conventional bonds; this results in higher liquidity costs, which counterbalance the cost benefits of the green premium. The liquidity disadvantage of green bonds thus weakens the overall financing cost advantage they might otherwise offer through the green premium.

Effects of internals on macroscopic fluid dynamics in a bubble column

The effects of internals on liquid mixing and gas–liquid mass transfer have rarely been investigated in bubble columns, and the commonly used measurement method overestimates significantly overall gas holdup. Firstly, gas holdup measurement method is improved by conducting multi-point liquid level measurement and using net fluid volume instead of bed volume to calculate gas holdup. Then, a stable conductivity method for liquid macromixing has been established by shielding large bubbles using #16 nylon mesh. Subsequently, the influences of internal coverage (=12.6%, 18.9% and 25.1%) on macroscopic fluid dynamics in a bubble column with a free wall area are systematically investigated. It is found that the presence of internals has a notable effect on macroscopic fluid dynamics. The overall gas holdup and gas–liquid volumetric mass transfer coefficient decrease, and the macromixing time decreases with the increase of internal cross-sectional area coverage. These are mainly caused by the uneven distribution of airflow due to the low resistance in the free wall area. This design makes maintenance easier, but in reality, the reactor performance has decreased. Further improvements will be made to the reactor performance based on such a configuration through flow guidance using baffles.

ROLE OF FINANCIAL INSTRUMENTS IN ENSURING LIQUIDITY AND STABILITY OF THE CURRENCY MARKET OF UKRAINE IN THE CONDITIONS OF MILITARY CONFLICT

In the conditions of military actions, liquidity of the currency market is of critical importance for the financial stability and security of the state, which stipulates significant relevance of the issue of instruments of liquidity provision. The research aims to identify the influence of the instruments of the National Bank of Ukraine (NBU) on the liquidity of the currency market of Ukraine within the context of long-term military conflict.The methods of regression analysis, correlation analysis, and analysis of variance were used in the study to determine the leading factors that influence the liquidity of the currency market in Ukraine in the conditions of military conflict.The study of the liquidity of the currency market through the prism of linear regression reveals the relation between the core economic indicators and the level of liquidity of the currency market during the military conflict. The model with a coefficient of determination 0,774 was found to effectively describe 77,4% of liquidity variability, underlining the significant influence of such factors as central bank policies and macroeconomic conditions. Significant coefficients for central bank interventions (1,7867), regulatory measures (59,8199), volume of international aid (-1,5684) and inflation (-99,9780) indicate their influence on the liquidity of the currency market in the conditions of military conflict. The influence of regulatory measures with a correlation of 0,59 is especially important.The article emphasises the necessity for minimising dependence on external financing and inflation control through monetary measures to ensure price stability. Further study perspectives involve consideration of the influence of digital currency of central banks on the liquidity of the currency market.

Comparative Real-Time Study of Three Enhanced Control Strategies Applied to Dynamic Process Systems

In this study, a comparative analysis of three different control methods for precise, real-time control of a complex dynamic double-tank liquid level process system was performed. Since the system in question has a time-delayed structure, feedforward proportional integral (FF-PI) control and cascaded nonlinear feedforward proportional integral delayed (CNPIR) controllers were tested on the process system. While the FF-PI controller improved the response time of the system, it showed limitations in handling external disturbances and nonlinearities. On the other hand, the CNPIR controller showed better improvements in control accuracy and lower overshoot compared to the FF-PI controller. Since the process system has a nonlinear model and is affected by external disturbances, these two controllers were inadequate in this study when compared to the fractional order adaptive proportional integral derivative sliding mode controller (FO-APIDSMC). The FO-APIDSMC controller provided fairly good performance in both tracking accuracy and disturbance rejection control for non-chattering, fast finite-time convergence, increased robustness, and uncertain dynamic processes. Experimental results reveal that the FO-APIDSMC controller achieves superior minimized tracking error and outperforms the FF-PI and CNPIR controllers by effectively handling uncertainties and external disturbances.

Utilization of liquid multi-microbe probiotics supplemented urea red palm sugar block as a potential improving balance of microorganisms in digestive tract for cattle economical production

Probiotics are live microbial feed supplements, providing beneficial effects on the host animal by improving balance of microorganisms in digestive tract. This study aims to examine the benefits of liquid multi-microbe probiotic supplementation on nutrient digestibility and economical production of beef cattle. The treatments were including ration control using fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block without liquid probiotic supplement (T0), fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block + liquid probiotic supplement of 2.0 cc/liter fresh water (T1), fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block + liquid probiotic supplement of 4.0 cc/liter fresh water (T2) and fresh forage of King grass (Pennisetum purpureum) + 350 g of URPS-Block + liquid probiotic supplement of 6.0 cc/liter fresh water (T3). Experimental design applied the Randomized Block Design involving 24 male cattle, divided into six groups of animal ages and four liquid multi-microbe probiotic doses. Parameters were feed dried matter consumption (DMC), average daily gain (ADG), feed conversion and income over feed costs (IOFC). The data were analyzed by variance analysis continued by Duncan test. Results showed that liquid multi-microbe probiotics supplementation of 2.0 to 6.0 cc/liter fresh water and URPS-Block of 350 g/day added into forages increased significantly (P<0.05) production of cattle indicated by significant higher ADG of 510 to 570 g (P<0.05) compared with those of control ration producing ADG of 380 g. The increase of animal production was supported linearly by the increasing drinking water consumption supplemented with liquid probiotic levels of 2.0 to 6.0 cc/liter fresh water of animals. Cattle supplemented with liquid probiotic of 2.0 to 6.0 cc/liter fresh water/animal/day also produced higher IOFC, equivalent with increases of 55.67 to 80.87 percents IOFC compared with the animals fed the control ration without liquid probiotics.

Dynamic Response and Damage Analysis of a Large Steel Tank Impacted by an Explosive Fragment

Abstract The fragments generated by explosions of storage tanks in chemical industrial parks may cause perforations or dents in adjacent tanks and trigger a domino effect. This paper determined reasonable fragment parameters based on the statistical laws of accidents and empirical formulas. The dynamic response process of large steel tanks impacted by fragments was simulated with ls-dyna. The typical impact process and results were analyzed in detail, and the damage laws of the tanks were discussed under various filling coefficients, volumes, fragment velocities, and impact angles. The results indicate that the inertial resistance of the inner liquid shortens the impact duration. Multiple collisions occur between the fragment and tank during impact, and the impact process involves three stages: initial collision, crushing and collision, and separation flight. The impact center displacement shows a fast and then slow reduction trend as the liquid level height increases, and the damage to the tank is negatively correlated with the liquid level height. The damage is lower when the tank volume is larger in an empty tank or at a high liquid level, while the damage instead increases when the volume exceeds 5000 m3 at a low liquid level. The peak impact force of the end-cap fragment is greatest when frontal impact occurs. Fragment flipping and curling occur at 45 deg and 90 deg impact, respectively. As the vertical impact angle increases from 0 deg to 90 deg, the fragment impact mode changes from initial frontal impact to flip detachment and finally to curling deformation.

LiqD: Dynamic Liquid Level Detection under Containers

Abstract. In daily life and industrial production, it is crucial to accurately detect changes in liquid level in containers. Traditional contact measurement methods have some limitations, while emerging non-contact image processing technology shows good application prospects. This paper proposes a container dynamic liquid level detection model based on U-Net. This model uses the SAM model to generate an initial data set, and then evaluates and filters out high-quality pseudo-label images through the semi-supervised framework to build an exclusive data set. The model uses U-Net to extract masking images of containers from the data set, and uses morphological processing to compensate for masking defects. Subsequently, the model calculates the grayscale difference between adjacent video frame images at the same position, segments the liquid level change area by setting a difference threshold, and finally uses a lightweight neural network to classify the liquid level state and achieves the accuracy of 91.39%. This approach not only mitigates the impact of intricate surroundings, but also reduces the demand for training data, showing strong robustness and versatility. A large number of experimental results show that the proposed model can effectively detect the dynamic liquid level changes of the liquid in the container, providing a novel and efficient solution for related fields.

A Scalable Digital Light Processing 3D Printing Method

The 3D printing method based on digital light processing (DLP) technology can transform liquid resin materials into complex 3D models. However, due to the limitations of digital micromirror device (DMD) specifications, the normal DLP 3D printing method (NDPM) cannot simultaneously process large-size and small-feature parts. Therefore, a scalable DLP 3D printing method (SDPM) was proposed. Different printing resolutions for a part were designed by changing the distance between the projector and the molding liquid level. A scalable DLP printer was built to realize the printing resolution requirements at different sizes. A series of experiments were performed. Firstly, the orthogonal experimental method was used, and the minimum and maximum projection distances were obtained as 20.5 cm and 30.5 cm, respectively. Accordingly, the layer thickness, exposure time, and waiting leveling time were 0.08 mm, 3 s, and 6 s and 0.08 mm, 7 s, and 10 s. Secondly, single-layer column feature printing was finished, which was shown to have two minimum printing resolutions of 101 μm and 157 μm at a projection distance of 20.5 cm and 30.5 cm. Thirdly, a shape accuracy test was conducted by using the SDPM. Compared with the NDPM, the shape accuracy of the small-feature round, diamond, and square parts was improved by 49%, 42%, and 2%, respectively. This study verified that the SDPM can build models with features demonstrating high local shape accuracy.

Price-mediated contagion with endogenous market liquidity

AbstractPrice-mediated contagion occurs when a positive feedback loop develops following a drop in asset prices which forces banks and other financial institutions to sell their holdings. Prior studies of such events fix the level of market liquidity without regards to the level of stress applied to the system. This paper introduces a framework to understand price-mediated contagion in a system where the capacity of the market to absorb liquidated assets is determined endogenously. In doing so, we construct a joint clearing system in interbank payments, asset prices, and market liquidity. We establish mild assumptions which guarantee the existence of greatest and least clearing solutions. We conclude with detailed numerical case studies which demonstrate the, potentially severe, repercussions of endogenizing the market liquidity on system risk.

Dynamic liquid level prediction for multiple oil wells based on transfer learning and multidimensional feature fusion network

Abstract Accurate prediction of the dynamic liquid level (DLL) in oil wells is crucial for the intelligent optimization of pumping systems. It not only provides real-time insights into the operational conditions of the pumping system but also supports the optimization of operational parameters with data. However, due to the long-term operation of oil wells and their complex internal environments, direct measurement of the DLL is challenging, leading to low reliability of the obtained data. Therefore, this paper conducts an in-depth analysis of the parameters involved in the pumping process, identifies the model's input features, and develops a DLL prediction model for multiple wells based on multidimensional feature fusion (MFF). This model captures the characteristics of DLL changes and the diversity of input features. To address the issues of slow model training and low prediction accuracy caused by insufficient datasets in practical applications, this paper integrates transfer learning techniques and proposes a new model, the DLL model for multiple wells based on Transfer Learning and Multidimensional Feature Fusion (TMFF). Initially, the Euclidean distance and Maximum mean discrepancy methods are employed to verify the feature similarity between the source and target domains, using highly similar DLL data as experimental data. By combining transfer learning techniques with the MFF model, the TMFF model is established. The model's capabilities are validated using field-collected data with broad representativeness. Experimental results demonstrate that the proposed MFF model possesses high accuracy and generalization capability. Additionally, the TMFF model effectively resolves the issue of insufficient data during model training. In summary, the methods proposed in this paper can provide accurate DLL data for practical applications in intelligent oilfields.

Superhydrophobic Porous Cylindrical Barrel Founded on Stainless-Steel Mesh for Interfacial Water Evaporation.

Superhydrophobic materials have been widely applied in oil-water separation, self-cleaning, antifouling, and drag reduction; however, their role in liquid evaporation and drying remains unexplored. Inspired by the microstructure of the nonwetting legs of water striders, we designed a low-adhesion superhydrophobic cylindrical barrel (CB) derived from stainless-steel mesh (SSM) to enhance liquid thermal evaporation and drying. The CB was created by hydrothermally depositing zinc oxide (ZnO) with multilevel morphologies onto metal wires, followed by modification with low-surface-energy stearic acid (SA). We investigated the impact of the SSMCB on water evaporation and analyzed the decline in the liquid levels under varying porosities and temperatures through numerical normalization. A functional relationship was established between decline height, porosity, and temperature, revealing that the drop height increased from 3.7 to 25 mm as porosity increased from 0 to 0.5263. Moreover, the superhydrophobic coating demonstrated excellent resistance to friction and peeling, indicating improved mechanical stability.

Risks and Financial Indicators in Managing Bank Liquidity in Islamic Banks: A Case Study of Asia Islamic Bank for Finance and Investment in Iraq

The aims of this study to demonstrate the importance of liquidity indicators and the role of liquidity management in addressing liquidity risk and achieving alignment between the bank's objectives of maximizing profitability, determining an optimal level of liquidity and providing security for depositors and shareholders by following specific strategies and working according to specific mechanisms to achieve harmonization and alignment between its objectives Foremost among them is the forecasting, planning and follow-up of the volume and timing of cash flows, early disclosure of possible deficits and surplus cash balance and planning for investing surplus. In addition to using the financial ratios of the legal reserve, the legal liquidity ratio and the cash balance ratio through which the liquidity risk can be addressed and the bank's objective of securing optimal cash liquidity, maximizing profitability and providing security to the parties dealing with it can be achieved. Liquidity management should also pay attention to creating compatibility, balance and harmonization in the management of assets and liabilities and the role of reserves in securing liquidity.

Employing an optimal control strategy for systems with measurement and actuation faults: a swarm optimization approach

ABSTRACT Various industries involve interconnected coupled tank systems to control fluid level, which poses significant challenge for traditional controllers. A tilt-integral-derivative controller offers enhanced adaptability for such systems. However, tuning of these controllers is highly challenging. This work focuses on enhancing the liquid level control in coupled tank systems using a tilt-integral-derivative controller. Tuning for the control algorithm is achieved through the application of Harris's hawks optimization. An objective function is designed by imposing constraints on performance metrics such as integral square error, integral absolute error, integral time absolute error, and closed-loop gain, which are then solved using Harris's hawks optimization. Further, the robust behaviour of the system is exhibited using μ-analysis to assess its stability. Simulation studies confirm the control algorithm's effectiveness, showing superior performance in reducing settling-time and minimizing overshoot. Additionally, the robustness of the controller in handling sensor and actuator faults under varying operating conditions is demonstrated.

Impact of Inflation and Financial Ratios on Dividend Distribution in Healthcare Sector Companies Listed on the Indonesia Stock Exchange (2020-2022)

Objective: To examined the influence of inflation, current ratio, debt to equity ratio, and return on equity on dividend distribution in health sector companies during the 2020 to 2022 period, because this period includes the COVID-19 pandemic. Study Design: This kind of research is quantitative and depends on the Indonesia Stock Exchange for the acquisition of secondary data. Study Location and Duration: 2020–2022 listings of health sector firms on the Indonesia Stock Exchange. Methodology: Purposive sampling was used in this study to identify 10 companies that met the objectives of the investigation. The analysis technique used is panel data regression, the analysis tool EViews 12. Results: Research findings show that inflation, DER, and ROE do not have a significant negative impact on dividend distribution, while CR shows a significant positive impact. This shows that liquidity plays an important role in dividend distribution decisions during the Covid 19 pandemic. TImplication: This study underscores the importance of maintaining adequate levels of liquidity for healthy companies when determining dividend policy, especially during the Covid 19 pandemic. Investors and policymakers are advised to consider these factors when evaluating a company's financial health and dividend prospects.

Intraday liquidity risk: based on microprudential and macroprudential regulatory perspective

ABSTRACT This paper addresses the effectiveness of current regulations on intraday liquidity risk through a comprehensive analysis using network structure and payment flow characteristics of China’s large-value payment system. Utilizing simulation and econometric methods, it examines the factors influencing the upper limit of liquidity levels required by payment system participants to satisfy real-time gross settlement (RTGS) and its tail distribution. The results of the study show that: (1) in a network topology, the characteristics of a node significantly affect its demand for intraday liquidity and its exposure to intraday liquidity risk; (2) microprudential regulation based only on individuals not only fails to achieve macroprudential regulatory objectives, but also fails to realize individual microprudential regulatory objectives, and at the same time, it reduces the efficiency of liquidity use; (3) reallocating intraday liquidity among participants based on systemic effects not only saves liquidity overall, but also achieves the macroprudential regulatory objective of liquidity at a high probability level. This study provides valuable theoretical and practical insights for regulators and financial managers, emphasizing the importance of effective regulation to prevent the evolution of intraday liquidity risk into systemic risk.

Error analysis and improvement of water displacement method in measuring gas desorption volume from coal particles

The water displacement method is widely employed in experiments to investigate the adsorption and desorption characteristics of coal gas. However, conventional desorption apparatus faces challenges in accurately quantifying gases with low desorption rates, leading to significant inaccuracies in experimental assessments of residual gas content and adsorption–desorption hysteresis. In order to solve the issue, a new desorption device was invented to carry out isothermal ultimate desorption experiments together with the conventional device under two different equilibrium pressures with coal samples of four particle sizes. The results reveal that after 100 min, the gas desorption rate gradually decreases, with the desorption percentage of the conventional device remaining relatively constant, while that of the new device continues to rise. By the end of the experiment, the conventional device measured gas residual percentages ranging from 30 % to 50 %, whereas the new device recorded percentages between 10 % and 25 %. The lower residual percentages obtained by the new device prove the effectiveness to solve the issue that the conventional devices struggle to quantify low-rate desorption gas.When applying the conventional device, as desorption progresses, the desorption rate decreases, and the pressure within the coal sample tank increases more slowly, which results in the difficulty for the gas to reach a pressure of 71.18 Pa to overcome fluidic constraints and enter into the graduated cylinder and ultimately accumulates in the soft, large-volume silicone pipeline. In contrast, the new device, designed with its gas outlet strategically positioned above the liquid level, bypasses the constraints of liquid forces. Additionally, the modest inner diameter of the rigid tube undergoes minimal deformation under experimental conditions. Differences in liquid forces and piping allow the new device to accumulate 71 mL less gas than the conventional device. The utilization of the new device in coal gas desorption experiments effectively mitigates experimental errors stemming from low desorption rates, thereby driving advancements in the investigation of coal seam gas parameters and residual gas content.

Impact of Equity Liquidity on Corporate Value—— Based on The Empirical Analysis of China's A-Share Listed Companies

Since the establishment of the Shanghai and Shenzhen Stock Exchange, China's stock market has experienced a development process from scratch, from small to large, and from weak to strong. During this period, the liquidity of China's stock market has increased significantly. The stock market can affect the real economy by changing the motivation and influencing the behavior of enterprises, which is crucial to economic development. Many scholars at home and abroad have studied the impact of stock liquidity on enterprise value from different perspectives. This paper finds that the stock liquidity has a significant positive impact on the value of enterprises. The higher the level of stock liquidity, the higher the enterprise value, and the company's equity structure can play a role as an intermediary variable in the process of stock liquidity affecting the enterprise value.

Fractionalized order PID controller design for three tanks liquid level control

Fractionalized order PID controller design for three tanks liquid level control