Gauge System Research Articles

Climate neutrality in agriculture food supply chain: an integrated WINGS-GRID framework

PurposeSubstantial pressure from civil society and investors has forced governments around the world to take climate neutrality initiatives. Several countries have pledged their nationally determined contributions towards net-zero. However, there exist various obstacles to achieving the same and the agriculture sector is one of them. Thus, this study identifies and models the critical barriers to achieving climate neutrality in the agriculture food supply chain (AFSC).Design/methodology/approachSixteen barriers are identified through a literature survey and are validated by the questionnaire survey. Furthermore, the interactions amongst the barriers are estimated through the application of the “weighted influence non-linear gauge system (WINGS)” method which considers the both intensity of influence and the strength of the barrier. To mitigate these barriers, a framework based on green, resilient and inclusive development (GRID) is proposed.FindingsThe obtained results reveal that lack of collaboration amongst AFSC stakeholders, lack of information and education awareness, and lack of technical expertise obtained a higher rank (amongst the top five) in three indicators of the WINGS method and thus are the most significant barriers.Originality/valueThis paper is the first attempt in modelling the climate neutrality barriers for the Indian AFSC. Additionally, the mitigating strategies are prepared using the GRID framework.

Conformal geodesics and the evolution of spacetimes with positive Cosmological constant.

This article provides a discussion on the construction of conformal Gaussian gauge systems to study the evolution of solutions to the Einstein field equations with positive Cosmological constant. This is done by means of a gauge based on the properties of conformal geodesics. The use of this gauge, combined with the extended conformal Einstein field equations, yields evolution equations in the form of a symmetric hyperbolic system for which standard Cauchy stability results can be employed. This strategy is used to study the global properties of de Sitter-like spacetimes with constant negative scalar curvature. It is then adapted to study the evolution of the Schwarzschild-de Sitter spacetime in the static region near the conformal boundary. This review is based on Minucci et al. 2021 Class. Quantum Grav. 38, 145026. (doi:10.1088/1361-6382/ac0356) and Minucci et al. 2023 Class. Quantum Grav. 40, 145005. (doi:10.1088/1361-6382/acdb3f). This article is part of a discussion meeting issue 'At the interface of asymptotics, conformal methods and analysis in general relativity'.

WITHDRAWN: Sustainable circular supplier selection for textile manufacturing industries in India: An integrated WINGS-MABAC approach

The significant quantity of waste produced by the textile industry has recently sparked an increase in the adoption of Circular Economy (CE). To aim towards CE, companies should focus on selecting suppliers who share certain key characteristics, such as being compliant with the CE standards, recycling used resources to reduce waste, minimal use of water & energy. Till date, very few studies have managed to cover the in-depth analysis of suppliers on the basis of circularity and sustainability aspects. The criteria addressed in this study have been identified through thorough literature review and discussions with the experts. This paper addresses this problem with the aid of multi-criteria decision-making (MCDM) framework for sustainable circular supplier selection (SCSS) in the Indian textile industry. This study applies Weighted Influence Non-linear Gauge System (WINGS) - Multi-Attributive Border Approximation Area Comparison (MABAC) approach to estimate the importance of different criteria to select the best performing supplier of recycled cotton yarn for an Indian textile industry. WINGS is used to analyse the different criteria for evaluating suppliers in textile industry, while MABAC is used to select the most suitable sustainable circular supplier. Our results suggest that sustainable circular suppliers should be evaluated mainly on the basis of factors like whether or not the supplier is willing to collaborate, robustness, green certifications and the recycling capability of the suppliers. The proposed approach and decision-making model can help the managers of the textile industry to choose more sustainable suppliers, respond to fast fashion and maintain the competitive standard in the market. An illustrative application of the proposed framework is undertaken in an Indian textile micro, small and medium enterprise (MSME).

Rainfall-induced Gravity Movement of the Unzen-Fugendake Volcanic Dome Analysis combining Ground-Radar Interferometry and XRAIN Rainfall radar system

Lava domes created by volcanoes often cause pyroclastic and debris flows, which have a significant impact on the surrounding infrastructure and population and have been the subject of much research. However, because volcanic domes tend not to survive the eruptions that form them, the instability of domes that survive eruptions such as Unzen Fugendake in Japan is both a poorly understood process and a danger. Therefore, the present contribution aims to (1) Displacement and precipitation from 2018 to 2020 for lava domes at Unzen volcano and their relationship to earthquakes, and (2) Haar wavelet analysis to understand the response of displacement to precipitation. The method is based on dome displacement from the Unzen Ground Based Synthetic Aperture Radar system and 48-hour rainfall from the MP radar rain gauge system. As a result, the authors confirmed the following: (1) precipitation of 150 mm or more in 48 hours tends to increase the vertical fluctuation of the dome, and even rainfall of less than 100 mm per 48 hours has a similar effect when it is repeated in an intensive manner; (2) After precipitation, major dome displacement can take days or weeks to occur, and is not instantaneous like the dome collapses in Soufriere and Merapi.

Reliability Improvement in the Traction System of Tanzania Standard Gauge Railway

In recent years, many African governments have been developing Standard Gauge Railway (SGR) to replace the old after becoming absolute, inefficient Meter Gauge System (MGR) to carry more loads at high mileage and speed while combating the oil and environmental crises. With the increase of SGR, the amount of traction systems has grown sharply, the service life of the traction system has increased gradually, and the components of the vehicle traction system have become worn and aged as a result. While Tanzania is transitioning to SGR with its gradually increasing traction systems, reliability improvement becomes a key for the sustainability of its high-speed train services. This paper, therefore, aims to improve the reliability of traction motors used in Tanzania’s SGR. Firstly, the factors affecting the reliability of the traction system of Tanzania’s SGR and their significance are evaluated. Secondly, the computerized maintenance management system (CMMS) is designed to streamline and automate the maintenance management processes of the traction system of Tanzania’s SGR. Finally, a regression model is established to forecast the uptime based on the established factors. The obtained uptime hours were predicted in order to compute the reliability of the traction motor and its criticality in operation. Critical factors for improving reliability have also been highlighted. These findings play vital roles in establishing the fundamentals of factors that affect reliability as well as strategies and countermeasures to extend the operational life of the traction motors cost-effectively.

An improved WINGS-ISM approach with consensus model in group decision-making for addressing critical success factors of collaborative emergency management

Since the variety and destructiveness of unexpected natural disasters and health emergencies, and the weakness of emergency systems around the world, studies on collaborative emergency management (CEM) are receiving increasingly attention recently. The existing literature has proved that with respect to the constraint of limited resources, it’s usually unrealistic for CEM practitioners to push forward all influential factors that affect the comprehensive performance of CEM simultaneously. Thus, identifying the most critical success factors (CSFs) is of great significance to promote the effectiveness of CEM practices. To achieve this intention, we proposed a novel multi-granularity extended probabilistic linguistic weighted influence nonlinear gauge system and interpretative structural modeling (WINGS-ISM) approach with a consensus model optimized by the convolutional neural network algorithm. The new technique specializes in addressing the CSFs of episodes involving CEM characterized by the combination of uncertainty and complexity in group decision-making process. To validate its feasibility and robustness, we mainly investigate 10 CSFs to conduct an illustrative CEM case, the result shows that ‘Applicable emergency response plan and regulations’, ‘Government unity of leadership and coordination’ and ‘Reasonable organizational structure and clear functions’ are identified out of 10 influential factors. Besides, the cause-effect and hierarchal relationship digraphs indicate that the CSFs of CEM are interconnected, and this finding can support CEM practitioners to devote more attention to the most important factors, which may yield more improvements in CEM practices. Finally, some research implications are provided for better improving the effectiveness of CEM practices based on the findings of this study.

Development and Deployment of a Virtual Water Gauge System Utilizing the ResNet-50 Convolutional Neural Network for Real-Time River Water Level Monitoring: A Case Study of the Keelung River in Taiwan

Climate change has exacerbated severe rainfall events, leading to rapid and unpredictable fluctuations in river water levels. This environment necessitates the development of real-time, automated systems for water level detection. Due to degradation, traditional methods relying on physical river gauges are becoming progressively unreliable. This paper presents an innovative methodology that leverages ResNet-50, a Convolutional Neural Network (CNN) model, to identify distinct water level features in Closed-Circuit Television (CCTV) river imagery of the Chengmei Bridge on the Keelung River in Neihu District, Taiwan, under various weather conditions. This methodology creates a virtual water gauge system for the precise and timely detection of water levels, thereby eliminating the need for dependable physical gauges. Our study utilized image data from 1 March 2022 to 28 February 2023. This river, crucial to the ecosystems and economies of numerous cities, could instigate a range of consequences due to rapid increases in water levels. The proposed system integrates grid-based methods with infrastructure like CCTV cameras and Raspberry Pi devices for data processing. This integration facilitates real-time water level monitoring, even without physical gauges, thus reducing deployment costs. Preliminary results indicate an accuracy range of 83.6% to 96%, with clear days providing the highest accuracy and heavy rainfall the lowest. Future work will refine the model to boost accuracy during rainy conditions. This research introduces a promising real-time river water level monitoring solution, significantly contributing to flood control and disaster management strategies.

Production Efficiency of Ribbon-Type Sections by the Drawing Method in Doubled-Roll Roller Dies

Introduction. The process of drawing is used to produce a wide range of fashion sections of complex configuration, including thin-walled, ribbon-type, and periodical section profiles.Problem Statement. Because of the complexity of steel ribbon production with flattening machines and high capital intensity of flattening production, since the second half of last century, the manufacturers have been trying to use alternative methods of flattening, in particular drawing in monolithic and double-roll roller dies.Purpose. The purpose of this research is to establish regularities of the influence of different sizing systems and process parameters on the regularities of shape change and energy-force parameters of the drawing process in double-roll roller dies and to determine the most effective schemes for achieving the maximal metal expansion while producing ribbon-type sections.Material and Methods. The materials used are as follows: round billets of 5.9 mm in diameter, made of steel brand St.08А; the methods used are as follows: cool billet processing with varying crimping in the double-roll rol ler die with different gauge systems.Results. The regularities of metal shape change and energy-force parameters alternation of the ribbon-type sec tion drawing process in doubled double-roll roller dies by using different gauge systems have been established. Marginal conditions of the deformation in double-roll dies, which provide stable and smooth drawing process according to the criterion of deformed metal safety factor, have been studied experimentally. The most efficient gau ge system of doubled roller dies, which provides maximal metal expansion while producing ribbon-type sections have been determined experimentally.Conclusions. It has been proposed to use the metal drawing technology in doubled double-roll roller dies with “bullhead-accelerated gauge” system while producing ribbon-type sections with a width-to-thickness ratio of more than 2, for achieving the maximal metal expansion per transition. In addition, such a process is energy efficient as the force of pulling through the roller die decreases.

Imparting scalephobicity with rational microtexturing of soft materials.

Crystallization fouling, a process where scale forms on surfaces, is widespread in nature and technology, negatively affecting energy and water industries. Despite the effort, rationally designed surfaces that are intrinsically resistant to it remain elusive, due in part to a lack of understanding of how microfoulants deposit and adhere in dynamic aqueous environments. Here, we show that rational tuning of coating compliance and wettability works synergistically with microtexture to enhance microfoulant repellency, characterized by low adhesion and high removal efficiency of numerous individual microparticles and tenacious crystallites in a flowing water environment. We study the microfoulant interfacial dynamics in situ using a micro-scanning fluid dynamic gauge system, elucidate the removal mechanisms, and rationalize the behavior with a shear adhesive moment model. We then demonstrate a rationally developed coating that can remove 98% of deposits under shear flow conditions, 66% better than rigid substrates.

Design and Implementation of K-Band Electromagnetic Wave Rain Gauge System

In order to prevent and manage damage caused by localized torrential downpours, the quantitative observation of rainfall is crucial. Considering the spatial complexity and vertical variability of rainfall, it is important to obtain low-altitude, high-resolution radar observations to reduce uncertainty in radar rainfall estimates. In this paper, we present an electromagnetic wave rainfall gauge system (EWRG) that detects rainfall within the observation area and estimates the areal rainfall using electromagnetic waves. The EWRG system was developed based on a subminiature size antenna, a K-band dual-polarization transceiver, and advanced high-resolution, high-speed signal processing technology. The system design and signal processing techniques are described in detail. The EWRG has the advantage of overcoming the limitations of conventional cylindrical ground rain gauges, such as the contamination and spatial inaccuracy of rain gauges, which cause uncertainty in quantitative precipitation measurement.

Selection of equipment for experimental studies of the stress-strain state of reinforced soil bases and pavement structures

Reinforced soil structures are often used in the practice of transport and industrial construction. The existing methods for calculating such structures have a number of significant drawbacks and do not always allow to accurately determine the design parameters, especially for settlement and tensile stresses in the reinforcing layers. To improve the methods for calculating reinforced soil structures, it is necessary to conduct full-scale experiments to determine their stress-strain state. Field experiments to assess the stress-strain state of reinforced soil structures are a complex technical problem. Most often, in these full-scale experiments, round stamps of various diameters are used. In the course of research, it is necessary to measure normal stresses and vertical displacements in the core of the reinforced soil base and tensile stresses in the reinforcing layers. To improve the accuracy of measurements and reduce the distortions that sensors introduce into the stress-strain state of reinforced soil structures, their careful selection is necessary for a number of parameters. The paper provides recommendations on the selection of pressure sensors for measuring vertical normal stresses in the soil mass. The diameter of the pressure sensors should not exceed 28-80 mm, depending on the diameter of the round die used for testing, and the recommended thickness of the pressure sensors should not exceed 2.8-8.0 mm. After the selection of pressure sensors, it is necessary to determine the measuring strain gauge system. The main criteria for selecting a measuring strain gauge system are the number of active strain gauges in each pressure sensor, the total number of measurement channels, and the electrical resistance of strain gauges. To measure tensile stresses in the reinforcing layers, you can use miniature strain gauge sensors using bridge or half-bridge connection schemes for active strain gauges.

Евристичні моделі вимірювальних процедур в задачах аналітичного дослідження тензометричних систем

The trend of increasing the complexity and hardware of measurement systems (MSS) remains constant in connection with the massive use of computer technology in measurement processes. The excessive complexity of the newly created AZSV, the high cost of components and software, and the sufficiently low level of production quality do not allow us to rule out the possibility of errors, which cause a violation of the AZSV's performance as a whole, as well as a decrease in their productivity. The term «reliability of the AZSV», similar to the term «reliability of the equipment» in the tasks of diagnostics of strain gauge equipment, means that «failures», in this case (it means the presence in the composition of the SV, in addition to purely hardware, as well as software), as a result of the appearance of errors, has a qualitatively different physical nature than purely AZ failures. This indicates the possibility of using certain terms and indicators of the reliability of technical means in the study of the quality of AZSV. In particular, this is justified by the need to solve the problem of resource (or cost) distribution between the AZ and the software (software) while ensuring the given reliability indicator of the JI. Checking the correct functioning of AZ and software, which are part of the JI, is carried out at the stage of configuration and testing. As a rule, the main factor in the adjustment is the time spent on it. Therefore, in a number of models for assessing the reliability of JI, along with the necessary time of their operation in regular modes (the actual implementation of the measurement process), it is necessary to consider another time factor – the time of setting up AZ and PZ in relation to the use of these means as intended. An effective way to determine the reliability of strain gauge systems, and especially at the design stage, is the use of mathematical modeling, the results of which are determined by the correctness of the models of measurement procedures based on it

Bipolar neutrosophic WINGS for green technology innovation

Green technology innovation is a crucial assurance of achieving sustainable economic and environmental development, so improving the capability of green technology innovation is an urgent problem. In order to provide a more objective and accurate tool for identifying the most important impact factor of green technology innovation, this study innovatively proposes a new method by combining the bipolar neutrosophic sets with Weighted Influence Nonlinear Gauge System (WINGS) method. Furthermore, this paper intends to provide recommendations in improving green technology innovation capability. We invite five experts to evaluate fifteen factors influencing green technology innovation using the bipolar neutrosophic linguistic variables. Then, the proposed bipolar neutrosophic set WINGS (Bipolar NS-WINGS) method is applied to measure the influence of each impact factor of green technology innovation. Finally, we divide all the factors into cause group and effect group. Moreover, the network relation map is constructed to visualize the interrelationships between all impact factors. The Bipolar NS-WINGS suggests that Science and Technology Innovation Environment (Ω7) is the most important factor of green technology innovation. The result also indicates that R&D Investment (Ω8) is the most influential factor in which it has impacted many other factors. It is obvious that the integrated method not only enriches the research in the field of decision theory, which has not combined the bipolar-NS and WINGS method for analyzing relationships of factors, but also contributes to the improvement of green technology innovation capabilities.

Structural Uncertainty Analysis of High-Temperature Strain Gauge Based on Monte Carlo Stochastic Finite Element Method.

The high-temperature strain gauge is a sensor for strain measurement in high-temperature environments. The measurement results often have a certain divergence, so the uncertainty of the high-temperature strain gauge system is analyzed theoretically. Firstly, in the conducted research, a deterministic finite element analysis of the temperature field of the strain gauge is carried out using MATLAB software. Then, the primary sub-model method is used to model the system; an equivalent thermal load and force are loaded onto the model. The thermal response of the grid wire is calculated by the finite element method (FEM). Thermal-mechanical coupling analysis is carried out by ANSYS, and the MATLAB program is verified. Finally, the stochastic finite element method (SFEM) combined with the Monte Carlo method (MCM) is used to analyze the effects of the physical parameters, geometric parameters, and load uncertainties on the thermal response of the grid wire. The results show that the difference of temperature and strain calculated by ANSYS and MATLAB is 1.34% and 0.64%, respectively. The calculation program is accurate and effective. The primary sub-model method is suitable for the finite element modeling of strain gauge systems, and the number of elements is reduced effectively. The stochastic uncertainty analysis of the thermal response on the grid wire of a high-temperature strain gauge provides a theoretical basis for the dispersion of the measurement results of the strain gauge.

An intuitionistic fuzzy weighted influence non-linear gauge system for equipment evaluation under system-of-systems warfare environment

System-of-systems (SoS) warfare has become the main form of modern warfare, where various equipment interact and interconnect to achieve operational goals. The complexity of equipment SoS poses a challenge for evaluating equipment under such warfare environments, as it requires considering multiple elements such as tasks and capabilities to ensure reliable evaluations. This paper proposes a novel equipment evaluation approach for SoS warfare environments based on the intuitionistic fuzzy weighted influence non-linear gauge system (IF-WINGS). The approach employs intuitionistic fuzzy sets (IFS) to represent uncertain information related to tasks, capabilities, and equipment. By extending the WINGS method with IFS, the proposed approach uncovers the interdependencies among the elements within the equipment SoS using the causal relation graph, considering both the strength and influence intensity of these elements. Additionally, the proposed approach evaluates and ranks different alternatives using relative closeness, which takes into account the distance of each alternative from the best and worst solutions, and this enables a more reliable and effective evaluation of alternatives. A novel equipment evaluation approach that considers the interrelationships among various elements within the equipment SoS is introduced based on IF-WINGS. To demonstrate the effectiveness of the proposed method, a case study is presented, and the results are compared to other methods, with Spearman’s rank correlation coefficients of the comparative methods obtained as (0.96,0.96,1.00,1.00), respectively. The results show that the proposed method could provide reliable and robust results for equipment evaluation in SoS warfare environments. By introducing the IF-WINGS method into equipment evaluation under SoS environment, this study provides a novel and effective way that considers the complex relationships among different elements in SoS warfare, enabling reliable and reasonable evaluation. In conclusion, the IF-WINGS method proves to be a valuable tool for assessing equipment performance in complex and interconnected warfare scenarios.

Exploring English policymakers' attitudes towards dementia risk reduction: A qualitative study.

A growing evidence-base indicates that dementia occurrence can be changed. This has been linked to potentially modifiable risk factors. Risk reduction and primary prevention strategies are increasingly recognized as needing to include population-level policies to tackle the social and commercial determinants of health. How this knowledge can influence policymaking on dementia prevention is unknown. Understanding attitudes of policymakers is an important step in translating evidence into practice, helping to gauge system readiness for implementation, and potential barriers and enablers for influencing policy. The aim of this qualitative study is to explore the understanding of, and attitudes to, dementia risk reduction and population-level prevention strategies amongst English policymakers at national, regional, and local level. Semi-structured interviews were undertaken with a range of dementia and prevention policymakers, with purposive sampling of national and local policymakers, including politicians, government officials, health system leaders, academics, and dementia charity directors. Analysis of interview transcripts was undertaken by thematic analysis. 14 policymakers were interviewed between November 2021 and February 2022. Three main themes were identified (1) Preventability of dementia, (2) Prevention approach, (3) Barriers and facilitators to improving the approach. Policymakers generally held dementia to be partially preventable. Policymakers recognised that both individual- and population-level approaches to primary prevention of dementia are required - with some policymakers perceiving that population-level approaches are under-utilised. Key barriers to implementing more population-level approaches were identified as the complexity and co-ordination required to effectively tackle upstream determinants of health.

Mitigating the barriers of industrial symbiosis for waste management: An integrated decision-making framework for the textile and clothing industry.

Waste management in the textile and clothing (TAC) industry is a challenging issue due to high resource consumption and pollution generation. Therefore, the adoption of industrial symbiosis (IS) is the need of the hour for the TAC industry. However, the adoption of IS in emerging economies like India, Brazil, Bangladesh, etc. is limited due to various impediments. The present work aims to identify and analyse these barriers and develop mitigation strategies in the context of Indian TAC industry. Eighteen IS barriers have been identified and validated; and the interrelationships among them are studied by applying the 'weighted influence non-linear gauge system (WINGS)' method, which not only estimates the intensity of influence but also takes the self-strength of barriers into account. The results show that lack of trust amongst supply chain partners, lack of financial incentives from the government, lack of guidance from regularity bodies and industry associations and lack of consumer awareness are the most significant barriers. Additionally, the strategies to mitigate these barriers are developed based on a quadruple helix framework considering academia--government-industry-society as the main actors. The findings of the study will be helpful for the TAC industry, policymakers and other concerned stakeholders in framing suitable strategies to improve the long-term waste management practices of the industry and to achieve sustainable development goals (SDGs).

Quantifying transport safety success at the regional level: A guide to policy and practice on investment for G20

Dramatic numbers of road traffic casualties and resulting economic losses have posed significant obstacles to implementing sustainable development and are bound to disrupt economic stability and social well-being. Given these circumstances, it is vital for the government to evaluate the country's current road safety development in comparison with, and to learn from, the situations of better-performing countries. This study develops an efficient and comprehensive gauging system, which combines criteria importance through the intercriteria correlation (CRITIC), preference ranking organization method for enrichment evaluation (PROMETHEE II), and principal component analysis (PCA), namely CRITIC–PROMETHEE II–PCA, to provide the G20 countries with a tool for quantifying transport safety success. Comparisons of the results with those derived from other classical approaches confirm the robustness and feasibility of the proposed methodology across different socioeconomic and demographic backgrounds. This will allow policymakers to formulate corresponding reform measures and allocate investments rationally. This tool will notably enable the G20 to monitor road safety progress, set short- and long-term reform goals, introduce relevant regulations, and distribute investment and resources in a quick and timely manner. The proposed methodology could be used as a model for similar studies conducted in other parts of the world.

Температурна характеристика електричного опору тензометра при вимірюванні статичних та термічних напружень деталей при температурі до 700 °С

An overview of the existing methods of measuring static stresses at elevated temperatures, at which it is problematic to use classical strain gauges, and methods of compensating the imaginary temperature deformation was performed. Namely: the use of multi-component alloys, the manufacture of active and compensatory sensitive elements from different alloys, which should theoretically compensate for each other's shortcomings. In practice, this can be sufficiently achieved only in a narrow temperature range. The described primary transducer is a rectangular strain-gauge rosette for measuring static and thermal stresses in structural parts operating under extreme conditions at temperatures up to 700°C. This sensor is a two-layer rosette consisting of two sensitive elements (SE), the main axes of which are rotated relative to each other by 90°. The lower SE perceives the main deformation of the part, and the upper one, located above the lower one, plays the role of a temperature-compensating electrical resistance of the element and simultaneously registers the transverse deformation of the part. SE rosettes were made of a wire with a diameter of 30 microns of the Х20Н80 alloy and fixed to each other and to the part using Ц-165-32А cement. The experimental study consisted in determining the temperature characteristics of the resistance of both the lower and the upper SE of the studied strain gauge associated with the temperature expansion of the part-strain gauge system as well as with the shunting of the insulator-connector and the change in the specific resistance of the SE material. Experimental determination of apparent strain gauge deformation at different temperatures was performed. To determine the influence of the coefficient of linear expansion of the material of the part on the change in the resistance of the SE, strain gauges were attached to samples of various materials. The change in the apparent deformation of the strain gauge in the temperature range from room temperature to 700 °C is shown. Its maximum value for the ceramic sample was less than 350 µm/m, for the 30ХГСА steel sample it was less than 1000 µm/m, and for the ВЖЛ14Н-ВІ alloy sample it was less than 750 µm/m. Dependencies were obtained that allow corrections to be made in the result of a real study of the stressed state of the part to achieve the maximum accuracy of measurements.

Real Time Estimate and Computational Model of Fighter Aircraft Fuel Gauge System

An onboard program for the fighter aircraft fuel gauge system is developed using a computational model resulting in to an optimal estimate of fuel gauge system. A fighter aircraft has several fuel tanks and the fuel quantity of the fuel tanks is required to be gauged reliably taking into account the various dynamic effects of flight maneuvers like aircraft pitch angle, roll angle and acceleration parameters for aircraft CG management. Real time estimation and computational modeling of fuel gauging system is realised by using the least square estimation numerical method with Microcontroller based Electronic unit. It was seen that the fluctuations in the fuel quantity estimation under the dynamic flight conditions are reduced and fuel gauging accuracy is improved.