Conceptual Design of Green Transport Airplane

Mattos, Bento Silva de; Fregnani, Jose A. T. G.; Magalhaes, Paulo Eduardo C. S.

doi:10.2174/97816810832781180301

Cited by 6 publications

(4 citation statements)

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“…[40]. A map for compressor efficiency calculation and other improvements and features were added such as engine noise and emission [10]. The present modeling does not contemplate new engine concepts like geared turbofans.…”

Section: Optimization Tasksmentioning

confidence: 99%

Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

Mattos¹,

Fregnani²,

Jorge³

2022

Uncertainty Modeling: Fundamental Concepts and Models

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The present work describes an airliner design platform that has been developed over several years and its application to design airliners based on an efficiency index developed by the authors of the present work. Among other characteristics, the design tool can handle airplane geometries with detail and count on a unique and accurate neural network system to predict aerodynamic coefficients. A new feature for product classification was incorporated into the framework. It is based on entropy statistics and was calibrated for jet transport airplanes and the results of classification are analyzed in the present work. The design of a Middle of Market airplane was then carried out with the classification provided by entropy statistics set as a constraint. Middle of the Market is a term that was established to address the commercial aircraft market segment that encompasses long-haul sectors from 3500 nm to 5000 nm, and airplanes with single-class passenger capacity between 220 and 250. Until now, this segment was not extensively explored, and some airlines have been showing interest to purchase airplanes better suited to it = this category. Multi-objective optimizations were carried out to determine the best aircraft design that fits into this concept's range and capacity specifications. The unsupervised learning algorithm based on entropy statistics was applied for airplane classification into four labels, classic, niche, failure, and breakthrough designs. A higher fidelity engine model optimization task was also carried out to search for optimal classic designs. In addition, a robust optimization considering a fuel price variation on Direct Operating Cost was carried out. All results raised an important discussion about the benefits and drawbacks of a trijet configuration for transport airplanes with a capacity of over 200 passengers.

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Section: Optimization Tasksmentioning

confidence: 99%

Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

Mattos¹,

Fregnani²,

Jorge³

2022

Uncertainty Modeling: Fundamental Concepts and Models

View full text Add to dashboard Cite

show abstract

“…For the analysis of the twinjet airliner designated ITA50SR (Figure 42), the RANS simulation [48] employed the SST k-ω turbulence model, and the hexahedral mesh that was created for the simulation was composed of approximately 2.1 million cells. Making use of an implicit scheme for time marching, the convergence was reached after all residuals dropped to values below 1x10 -4, which consumed 5675 iterations and some mesh adaptions [49]. Each iteration running on three cores of a desktop computer fitted with an Intel® Core™ i5-11600K processor demanded on average 18 secs.…”

Section: Considerations About Flow Modelingmentioning

confidence: 99%

“…This framework is composed of several modules, which can handle and integrate aeronautical disciplines, manage airplane configuration, and control the optimization process. In addition, this MDO tool can calculate airplane noise signature at ICAO reference points [49], estimate engine emissions [49], and can be coupled with unsupervised learning algorithms to provide airplane classification, [112].…”

Section: A Multi-disciplinary Design Frameworkmentioning

confidence: 99%

Model-based and Signal-Based Inverse Methods

2022

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The engineering sector drives and enables the development of a country. The formation of an engineer allows a technical capacity to evaluate, plan, design, suggest and apply all possible techniques in search of the best construction of a technological equipment. Currently, the engineer must be more and more prepared to solve existing problems in various sectors of society. It is through it that societies grow in search of progress. The recognition of engineering and the training of new professionals increases every year in Brazil. In the 2000s, the University of Brasília (UnB) went through an expansion process, resulting in the implementation of the new UnB Engineering Campus in the city of Gama (UnB-Gama, FGA). Five new undergraduate courses were created: Aerospace Engineering, Automotive Engineering, Electronic Engineering, Energy Engineering and Software Engineering. The UnB Gama Campus project converges to increase the education level of the Brazilian population, especially in the five areas of engineering activity, all in line with current national public policies, aimed at expanding the population's access to quality higher education in the country. Following the high quality teaching line, the UnB-Gama campus has the Graduate Program in Integrity of Engineering Materials (PPG-Integridade). The program has the following lines of research: Dynamics and Vibrations, Fatigue, Structural Materials, Biomaterials, Structure Fluid Interaction and Numerical Simulation of the Mechanical Behavior of Materials. This book series is an initiative of PPG-Integridade -UnB, organized as a collaborative work involving researchers, engineers, scholars, from several institutions, universities, industry, recognized both nationally and internationally.Beside the high technical quality and relevance of the topics covered in the books, this series will enable an essential internationalization of the research currently developed within the University of Brasília. Several authors from different countries also contributed to these books, enabling greater interaction between national and international research groups. This internationalization raises the level of academic education for new professionals in the field of engineering, in addition to more advanced scientific research and technological development. Additionally, this book series features a strong contribution from the industrial sector. Several professionals from different companies collaborated with the writing of some chapters in the three volumes that make up this series. These initiatives are of great strategic importance, as they allow the grouping of different technical capabilities. On the part of companies in the sector, with knowledge of market demands, and on the part of universities, by adding the technical-scientific knowledge of their team of researchers to the improvement of innovative products and services. This book should be appreciated by anyone in need of knowledge of Materials Integrity. The completeness of Discrete Modeling and Inverse Methods theory c...

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“…Although this might be seen as a small contribution on operational costs, the impact of fleet savings in the whole network throughout a year is significant. For example, considering a fleet of 120 narrow body aircraft in a low-cost airline, 1% of fuel burn reduction potentially brings 5.7 Million USD annual savings, considering the world average fuel price of 1.00 USD/kg (Mattos, Fregnani, & Magalhães, 2018). In addition, because of airspace congestion, tactical crew requests to more direct routes are not always allowed by ATC and results in the airplanes taking suboptimal longer routes.…”

Section: Introductionmentioning

confidence: 99%

An overall assessment of the fuel consumption efficiency of the domestic flights in Brazil (Period 2000-2015)

Moreira¹,

Fregnani

Harker

et al. 2018

J. airl. airpt. manag.

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Purpose: The aim of this article is to analyze the evolution of fuel consumption efficiency of the domestic flights in Brazil along the period 2000-2015 in order understand the overall efficiency of the aeronautical infrastructure in this country.Design/methodology: This article proposes a method for high level assessments of the aeronautical infrastructure efficiency (either on ground or airspace) in a fast and easy to grasp manner, using the key performance indicator of useful distance per flight hour. The method estimates the average flight time spent by the national carriers to accomplish the average stage lengths in each year of the period 2000-2015 and compare these results with the flight time baseline included in the flight planning data of the aircrafts composing the Brazilian commercial aircraft fleet.Findings: This approach leads to huge differences between the referred results and the fuel consumption shown by flight operations manuals and were attributed to the inefficiencies existing in the acknowledged overloaded aeronautical infrastructure (either in the air or on ground) in Brazil. With that it is concluded that there is a potential reduction opportunity of almost 30% in aircraft fuel consumption in domestic flights in Brazil, which has been until the moment almost unconsidered. Thus, government policy-makers and all stakeholders will be able to quantify the impacts and recommend investments in infrastructure in a well-founded way. Furthermore, the return on investments of public funds, which are especially scarce in the developing countries, will be assessed in a simple manner. Under this scope investments and research on Air Traffic Management (ATM) new technologies and flow management techniques are strongly suggested in order to improve airspace operational efficiency.Originality/value: A new and innovative method for high level assessment of the aeronautical infrastructure efficiency.

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Conceptual Design of Green Transport Airplane

Cited by 6 publications

References 0 publications

Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

Model-based and Signal-Based Inverse Methods

An overall assessment of the fuel consumption efficiency of the domestic flights in Brazil (Period 2000-2015)

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