Scope of Improvements in Aerospace Sector by Implementation of IoT

While considering the aerospace domain, the internet of things (IoT) provides the way for new development and this IoT technology allows many possibilities in the aerospace domain. This study aims to examine the theoretical aspect of IoT in the aerospace industry. And propose a system that enhances the flight journey experience from the flight booking of each customer. This will also improve the manufacturing end-to-end process in the aerospace industry with the help of IoT sensors. These can be achieved with help of the data collection (Previous sensor data), cloud computing, and machine learning. As per the proposing system, all IoT sensor data will be collected and saved the data in the cloud server. These data will be used for training the algorithm to achieve the optimum solution in the future.

Benefits of 3D printing technologies for aerospace lattice structures

The article makes a brief presentation of the latest 3D printing methods that are used for manufacturing aerospace lattice structures. Most 3D printing technologies are not fully deployed on the industrial scale of aerospace sector, but are rather used for rapid prototyping of components. One of the main potential applications is for them to offer a rapid solution for remote operations, where it is difficult to supply parts. Additive manufactured lattice structures are cellular structures based on biomimicry (inspired from nature lattice structures such as bones, metal crystallography, etc.), that possess many superior properties compared to solid materials and are ideal for fabricating aerospace structures mainly due to the mass reduction they introduce and the high strength-to-weight ratio. Their mechanical properties are defined by the infill percentage, the geometry of the cell structure and the material used in the manufacturing process.

Sustainability in the Aerospace Sector, a Transition to Clean Energy: The E2-EVM Valuation Model

Civil aviation is one of biggest industrial contributors to CO2 emissions worldwide. One of the most urgent problems of this sector is providing new technologies to continue operating in a more sustainable environment through a transition to clean energy. The Earned Value Management (EVM) model, as a traditional project management tool, is continuously being revised with new releases and extensions (e.g., ESM, EDM, QEVM, E-EVM, and ZEVM), but to date none of them has applied an expert judgment criterion to be able to modify and anticipate the final result of the project. In such a way, this paper introduces a novel approach to the topic with the so-called Enhanced and Efficient Earned Value Management (denoted E2-EVM) model by including this new capability through the real options methodology, thus helping to support the sustainability of the aerospace sector. This research focuses on three main goals: the description of recent green initiatives in the aerospace sector by checking its contribution to reaching the well-known Sustainable Development Goals (SDGs), the development of a new version of the EVM model by applying the real options methodology, and, finally, the financial contribution to the aerospace industry by applying these initiatives and methodologies.

A Review on Fabrication of Thermoset Prepreg Composites using Out-of-Autoclave Technology

Autoclave is the technology that has been extensively used to manufacture high-grade performance composite parts for aerospace applications. This technology has been limited to aerospace industries only, primarily due to its high cost in manufacturing parts. The researchers then considered an alternative approach “Out-of-autoclave” (OOA) process, aiming at cost and time optimization. Non-autoclave methods such as OOA cure processes have been developed lately. The OOA process has a high potential for a drastic cost reduction in the manufacturing of composite aerospace structures. It processes parts that have a quality similar to that of parts cured using the autoclave technology. Specially designed OOA prepregs are available in the market for OOA processing, some of which are certified for aerospace manufacturing. This review paper briefly focuses on OOA prepregs and OOA processes that are used for aerospace components manufacturing. Future areas of development in the aerospace sector based on cost optimization and faster cycle times are also discussed in this paper.

An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy

Within the aerospace sector, the understanding and prediction of creep strains for materials used in high-temperature applications, such as Nickel-based super alloys, is imperative. Small punch testing offers the potential for understanding creep behavior using much less material than conventional uniaxial testing but in contrast to uniaxial creep tests, the stress in small punch creep (SPC) tests is multiaxial. SPC testing can be a valuable tool for validating models of creep deformation, but the key to unlocking its full capability is through the accurate correlation of the creep material properties measured through both techniques. As such, the focus of this paper is to correlate the creep behavior of Waspaloy obtained through conventional uniaxial testing to that obtained via small punch creep testing. Recently, and for low chrome steels, this has been achieved through use of the ksp method, but there are good reasons for believing this technique will not work so well for Nickel-based super alloys. This paper shows this to be the case for Waspaloy and proposes some alternative methods of correlation based on combining the Monkman–Grant relation and the Wilshire equations for both uniaxial and small punch creep. It was found that this latter approach enabled the accurate conversion of SPC minimum displacement rates to equivalent uniaxial minimum creep rates which, when combined with the Wilshire equations, enabled SPC test loads to be converted into equivalent uniaxial stresses (and visa versa) with levels of accuracy that were significantly reduced when compared to using the ksp method. Further, the random error associated with these conversions were dramatically increased.

The Enhanced-Earned Value Management (E-EVM) Model: A Proposal for the Aerospace Industry

The framework of this paper is the aerospace industry, which is one of the world’s leading sectors, thus playing a noteworthy role in current society. This makes it especially important to try to optimize the management of the aerospace sector. Therefore, the main objective of this paper is to propose the so-called Enhanced-Earned Value Management (hereinafter, E-EVM) model, able to explore the simultaneous evaluation of many projects, from which the management of the project can take advantage. Additionally, this model considers the possibility of forecasting pending tasks, measurable in time units or cost units, until the end of the project. The main contribution of E-EVM methodology is its capacity to detect both delayed and advanced projects by converting times (hours) into monetary units (EUR). Empirically, this enhanced model has been applied to a real case study in the aerospace industry composed of thousands of subprojects and the results provide the project manager with valuable information to make decisions in a short term. Through computer graphic representation techniques, the visualization of project deployment can be improved. Finally, the E-EVM model can be used even in big projects where a very large volume of information must be simultaneously treated and also, it will be suitable to apply pattern recognition concerning the project performance.

Integration and evaluation of a meander-shaped fibre-optical sensor in a GFRP leaf spring

Fibre-reinforced plastics experience an increasing attention also in the non-aerospace sector. However, the detection of possible internal damage of safety-relevant components remains a challenge. In previous work, a meander-shaped sensor layout with a single fibre-optical sensor was proposed as a particularly efficient and reliable layout and its suitability was demonstrated in coupon tests. In the present work, the approach was transferred to a leaf spring made of glass fibre reinforced plastics and investigated in an extensive test campaign with a realistic test setup. The investigations show the particular suitability of the proposed meander-shaped sensor layout for simultaneous loads monitoring and structural health monitoring.

Forecasting the Sectoral-Regional Development of the Intellectual Segment of the Global Economy

The article is aimed at building a forecast for the development of the intellectual segment of the global economy for 2019-2028 in terms of high-tech sectors and regions. Based on the analysis of statistical data of the countries’ economies on the volume of high-tech exports, gross costs in fundamental research and applied developments, the number of registered patent families with details by sectors of the «triad» (information and communication technologies, pharmaceutical industry, aerospace sector) the trend of sectoral-regional development in 2000-2018 is determined and a forecast for the next contiguous period is elaborated. In the course of research, the author identified a significant differentiation of countries according to the models of development of sectors of the «triad», as well as by the nature of the trend line in the time periods 2000-2009, 2009-2018, and 2000-2018. Further development of the countries of Asia (China, Taiwan, South Korea) and the United States with a gradual shift in the emphasis of technological leadership in favor of Taiwan are forecasted. The growth forecast for high-tech exports of the aerospace sector is optimistic. In the ICT sector, a significant dependence of the volume of high-tech exports on the positive dynamics of patent families is identified. In the pharmaceutical industry of European countries, the relationship between these indicators is predominantly inverse. Prospects for further scientific research in this direction are to determine the nature and extent of the pandemic factor’s influence on the dynamics of the development of the intellectual segment of the global economy, as well as to adjust the forecast of sectoral-regional development of the intellectual segment of the global economy.

A High Fidelity Model Based Approach to Identify Dynamic Friction in Electromechanical Actuator Ballscrews using Motor Current

An enhanced model based approach to monitor friction within Electromechanical Actuator (EMA) ballscrews using motor current is presented. The research was motivated by a drive in the aerospace sector to implement EMAs for safety critical applications to achieve a More Electric Aircraft (MEA). Concerns in reliability and mitigating the single of point of failure (ballscrew jamming) have resulted in consideration of Prognostics and Health Monitoring (PHM) techniques to identify the onset of jamming using motor current. A higher fidelity model based approach is generated for a true representation of ballscrew degradation, whereby the motor is modelled using ‘dq axis’ transformation theory to include a better representation of the motor dynamics. The ballscrew kinematics are to include the contact mechanics of the main sources of friction through the Stribeck model. The simulations demonstrated feature extraction of the dynamic behaviour in the system using Iq current signals. These included peak starting current features during acceleration and transient friction variation. The simulated data were processed to analyse peak Iq currents and classified to represent three health states (Healthy, Degrading and Faulty) using k-Nearest Neighbour (k-NN) algorithm. A classification accuracy of ~74% was achieved.