Aerodynamic wing shape optimization based on the computational design framework CEASIOM

2017 ◽  
Vol 89 (2) ◽  
pp. 262-273 ◽  
Author(s):  
Mengmeng Zhang ◽  
Arthur Rizzi
Keyword(s):  
Shape Optimization ◽  
Collaborative Design ◽  
Optimization Technique ◽  
Computational Design ◽  
Optimization Methods ◽  
Wing Shape ◽  
Design Framework ◽  
Design Environment ◽  
Sequential Approach ◽  
Content Type

Purpose A collaborative design environment is needed for multidisciplinary design optimization (MDO) process, based on all the modules those for different design/analysis disciplines, and a systematic coupling should be made to carry out aerodynamic shape optimization (ASO), which is an important part of MDO. Design/methodology/approach Computerized environment for aircraft synthesis and integrated optimization methods (CEASIOM)-ASO is developed based on loosely coupling all the existing modules of CEASIOM by MATLAB scripts. The optimization problem is broken down into small sub-problems, which is called “sequential design approach”, allowing the engineer in the loop. Findings CEASIOM-ASO shows excellent design abilities on the test case of designing a blended wing body flying in transonic speed, with around 45 per cent drag reduction and all the constraints fulfilled. Practical implications Authors built a complete and systematic technique for aerodynamic wing shape optimization based on the existing computational design framework CEASIOM, from geometry parametrization, meshing to optimization. Originality/value CEASIOM-ASO provides an optimization technique with loosely coupled modules in CEASIOM design framework, allowing engineer in the loop to follow the “sequential approach” of the design, which is less “myopic” than sticking to gradient-based optimization for the whole process. Meanwhile, it is easily to be parallelized.

An energy-efficient scalar control taking core losses into account

2018 ◽  
Vol 37 (2) ◽  
pp. 849-867 ◽  
Author(s):  
Gabriel Khoury ◽  
Ragi Ghosn ◽  
Flavia Khatounian ◽  
Maurice Fadel ◽  
Mathias Tientcheu
Keyword(s):  
Energy Efficient ◽  
Mechanical Load ◽  
Dynamic Performance ◽  
Optimization Technique ◽  
Optimization Methods ◽  
Variable Speed ◽  
Variable Speed Drives ◽  
Content Type ◽  
Scalar Control ◽  
Core Losses

PurposeIn the need to optimize the energy efficiency, control structures can have a positive effect by tracking the optimal operating point according to the speed and mechanical load of the motor. The purpose of this paper is to present an energy-efficient scalar control for squirrel-cage induction motors (IMs), taking into consideration the effect of core losses. Design/methodology/approachThe proposed technique is based on the modification of the stator flux reference, to track the best efficiency point. The optimal flux values are computed through an improved model of the IM including core losses, then stored in a look-up table. FindingsSimulations of the proposed scalar control are carried out, and results show the efficiency improvement when the flux is optimized especially at low load cases. Results were validated experimentally on two motors compliant with different efficiency standards. Practical implicationsThe proposed approach can be used in several fields and applications using the scalar-controlled IM with a proper implementation in variable speed drives, as in the cases of pumps, compressors and blowers. Originality/valueThe proposed technique is compared to existing optimization methods in literature, and the results show an improvement in the dynamic performance and in the response delays. The approach is also compared to an optimization technique used in industries like Leroy-Somer for variable speed drives, and efficiency improvements are shown.

Conformal antennas arrays radiation synthesis using immunity tactic

2014 ◽  
Vol 33 (3) ◽  
pp. 1017-1037 ◽  
Author(s):  
Sidi Ahmed Djennas ◽  
Belkacem Benadda ◽  
Lotfi Merad ◽  
Fethi Tarik Bendimerad
Keyword(s):  
Immune System ◽  
Antenna Arrays ◽  
Processing Time ◽  
Optimization Technique ◽  
Optimization Methods ◽  
Content Type ◽  
Conformal Antennas ◽  
Radiation Synthesis ◽  
Conformal Antenna ◽  
The Impact

Purpose – The purpose of this paper is to introduce to scientific community a new optimization technique and its application to the radiation synthesis case. Design/methodology/approach – The immunity tactic is a new powerful optimization tool inspired by immune system. It was used with success to achieve the conformal antenna radiation synthesis in an acceptable processing time. Findings – Radiation synthesis of conformal antenna arrays based on immunity tactic generates very good results compared with other optimization methods. The comparison is very satisfactory as regards accuracy and processing time. Research limitations/implications – The improvement of convergence and accuracy will be done certainly by use of other variants of the technique or combination with others. Originality/value – The paper exposes with details a new optimization technique based on immune system and its behavior. The results, for the special case of conformal antenna arrays radiation synthesis, are very satisfactory and very encouraging. The impact of the new technique will be, without doubt, positive on optimization field.

An interdisciplinary approach for tacit knowledge communication between the designer and the computer

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hala Hossam Eldin ◽  
Ramy Bakir ◽  
Sherif El-Fiki
Keyword(s):  
Tacit Knowledge ◽  
Design Process ◽  
Architectural Design ◽  
Interdisciplinary Approach ◽  
Computational Design ◽  
Human Beings ◽  
Design Environment ◽  
Content Type ◽  
Main Research ◽  
Knowledge Domains

PurposeThis research investigates the means of tacit knowledge (TK) communication between the designer and the computer in architectural design. Despite the integration of state-of-the-art computational technologies in different design phases, this integration happens within a limited scope, focusing mainly on tangible aspects of the design process, such as technical systems and visual representations. This lets architectural design miss the wider scope technology provides, where it can help in developing the computational design process through incorporating new intangible knowledge domains that were usually neglected, such as tacit knowledge, and through incorporating more design entities that were not included in the design process before.Design/methodology/approachThe study conducts an interdisciplinary analytical review of the literature to achieve two main research goals. The first goal investigates TK communication between human beings and the second understands approaches of TK communication between humans and computers. For each goal, three phases were implemented; an initial research phase, where main keywords are identified, a sampling and selection of literature phase and an analysis of literature phase.FindingsThrough interlinking findings from different disciplines, the study presents a theoretical framework for TK communication. The framework provides architects with an approach to construct and transfer TK while using the computer in a computational design environment, presenting an individual and a social set of conditions and factors revealed from the review of the analyzed literature. The framework particularly emphasizes the significance of a human–computer symbiotic relationship for the process of TK communication to take place.Originality/valueThis paper presents a novel interdisciplinary reading into the literature of fields beyond architectural design, incorporating intangible knowledge domains into the computational design process and expanding the capabilities of computational design tools to allow for the transfer of intangible design attributes between different design entities, particularly tacit design knowledge.

scholarly journals A Sequential Approach for Aerodynamic Shape Optimization with Topology Optimization of Airfoils

2021 ◽  
Vol 26 (2) ◽  
pp. 34
Author(s):  
Isaac Gibert Martínez ◽  
Frederico Afonso ◽  
Simão Rodrigues ◽  
Fernando Lau
Keyword(s):  
Topology Optimization ◽  
Shape Optimization ◽  
Volume Fraction ◽  
Optimization Techniques ◽  
Free Form ◽  
Aerodynamic Shape Optimization ◽  
Sequential Approach ◽  
Airfoil Surface ◽  
Aerodynamic Shape ◽  
Design Variables

The objective of this work is to study the coupling of two efficient optimization techniques, Aerodynamic Shape Optimization (ASO) and Topology Optimization (TO), in 2D airfoils. To achieve such goal two open-source codes, SU2 and Calculix, are employed for ASO and TO, respectively, using the Sequential Least SQuares Programming (SLSQP) and the Bi-directional Evolutionary Structural Optimization (BESO) algorithms; the latter is well-known for allowing the addition of material in the TO which constitutes, as far as our knowledge, a novelty for this kind of application. These codes are linked by means of a script capable of reading the geometry and pressure distribution obtained from the ASO and defining the boundary conditions to be applied in the TO. The Free-Form Deformation technique is chosen for the definition of the design variables to be used in the ASO, while the densities of the inner elements are defined as design variables of the TO. As a test case, a widely used benchmark transonic airfoil, the RAE2822, is chosen here with an internal geometric constraint to simulate the wing-box of a transonic wing. First, the two optimization procedures are tested separately to gain insight and then are run in a sequential way for two test cases with available experimental data: (i) Mach 0.729 at α=2.31°; and (ii) Mach 0.730 at α=2.79°. In the ASO problem, the lift is fixed and the drag is minimized; while in the TO problem, compliance minimization is set as the objective for a prescribed volume fraction. Improvements in both aerodynamic and structural performance are found, as expected: the ASO reduced the total pressure on the airfoil surface in order to minimize drag, which resulted in lower stress values experienced by the structure.

Collaborative design in public services: a wicked problem-reframing case

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrícia Moura e Sá ◽  
Catarina Frade ◽  
Fernanda Jesus ◽  
Mónica Lopes ◽  
Teresa Maneca Lima ◽  
...  
Keyword(s):  
Collaborative Design ◽  
Success Factors ◽  
Central Government ◽  
Wicked Problem ◽  
Low Density ◽  
Structured Interviews ◽  
Content Type ◽  
Critical Success ◽  
Definition Of ◽  
The Right

PurposeWicked problems require collaborative innovation approaches. Understanding the problem from the users' perspective is essential. Based on a complex and ill-defined case, the purpose of the current paper is to identify some critical success factors in defining the “right problem” to be addressed.Design/methodology/approachAn empirical research study was carried out in a low-density municipality (case study). Extensive data were collected from official databases, individual semi-structured interviews and a focus group involving citizens, local authorities, civil servants and other relevant stakeholders.FindingsAs defined by the central government, the problem to be addressed by the research team was to identify which justice services should be made available locally to a small- and low-density community. The problem was initially formulated using top-down reasoning. In-depth contact with citizens and key local players revealed that the lack of justice services was not “the issue” for that community. Mobility constraints and the shortage of economic opportunities had a considerable impact on the lack of demand for justice services. By using a bottom-up perspective, it was possible to reframe the problem to be addressed and suggest a new concept to be tested at later stages.Social implicationsThe approach followed called attention to the importance of listening to citizens and local organisations with a profound knowledge of the territory to effectively identify and circumscribe a local problem in the justice field.Originality/valueThe paper highlights the limitations of traditional rational problem-solving approaches and contributes to expanding the voice-of-the-customer principle showing how it can lead to a substantially new definition of the problem to be addressed.

The importance of public support in the implementation of green transportation in smart cities using smart vehicle bicycle communication transport

2020 ◽  
Vol 38 (5/6) ◽  
pp. 997-1011
Author(s):  
Ning Li ◽  
Parthasarathy R. ◽  
Harshila H. Padwal
Keyword(s):  
Smart Cities ◽  
Optimization Technique ◽  
Public Support ◽  
Weather Conditions ◽  
Transport Systems ◽  
Content Type ◽  
Signaling Systems ◽  
Traffic Conditions ◽  
Green Transportation ◽  
Smart Vehicle

Purpose Smart mobility is a major guideline in the development of Smart Cities’ transport systems and management. The issue of transition into green, secure and sustainable transport modes, such as using bicycles, should be implemented in this case, along with the subjectivism of management. Design/methodology/approach The proposed technology reflects the Smart Bicycle vehicle model, which tracks cyclists and weather conditions and turns to electric motors in critical circumstances. Findings This reduces the physical load and battery consumption of cyclists which affects the Smart Cities’ ecology positively. Originality/value In Smart Vehicle Bicycle Communication Transport, the vehicle movement optimization technique is used for traffic scenarios to analyze traffic signaling systems that give better results in variable and dense traffic conditions.

Adaptive response prediction for aerodynamic shape optimization

2017 ◽  
Vol 34 (5) ◽  
pp. 1485-1500
Author(s):  
Leifur Leifsson ◽  
Slawomir Koziel
Keyword(s):  
Shape Optimization ◽  
Adaptive Response ◽  
Simulation Models ◽  
Response Prediction ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Aerodynamic Shape Optimization ◽  
Content Type ◽  
Aerodynamic Shape ◽  
Fidelity Model

Purpose The purpose of this paper is to reduce the overall computational time of aerodynamic shape optimization that involves accurate high-fidelity simulation models. Design/methodology/approach The proposed approach is based on the surrogate-based optimization paradigm. In particular, multi-fidelity surrogate models are used in the optimization process in place of the computationally expensive high-fidelity model. The multi-fidelity surrogate is constructed using physics-based low-fidelity models and a proper correction. This work introduces a novel correction methodology – referred to as the adaptive response prediction (ARP). The ARP technique corrects the low-fidelity model response, represented by the airfoil pressure distribution, through suitable horizontal and vertical adjustments. Findings Numerical investigations show the feasibility of solving real-world problems involving optimization of transonic airfoil shapes and accurate computational fluid dynamics simulation models of such surfaces. The results show that the proposed approach outperforms traditional surrogate-based approaches. Originality/value The proposed aerodynamic design optimization algorithm is novel and holistic. In particular, the ARP correction technique is original. The algorithm is useful for fast design of aerodynamic surfaces using high-fidelity simulation data in moderately sized search spaces, which is challenging using conventional methods because of excessive computational costs.

A novel way of parameter estimation of solar photovoltaic system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Bisht ◽  
Afzal Sikander
Keyword(s):  
Parameter Estimation ◽  
Mean Absolute Error ◽  
Optimization Technique ◽  
Absolute Error ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Solar Panels ◽  
Content Type ◽  
Solar Photovoltaic System

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.

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