Selection of the Optimal Structural Design of a Spar Composite Wing

2021 ◽  
pp. 90-99
Author(s):  
O.V. Tatarnikov ◽  
W.A. Phyo ◽  
Lin Aung Naing
Keyword(s):  
Optimal Design ◽  
Element Analysis ◽  
Minimal Weight ◽  
Wing Structures ◽  
Optimization Parameters ◽  
Nonlinear Static ◽  
Wing Structure ◽  
Pareto Method ◽  
Selection Of ◽  
Composite Wing

This paper describes a method for optimizing the design of a spar-type composite aircraft wing structure based on multi-criterion approach. Two types of composite wing structures such as two-spar and three-spar ones were considered. The optimal design of a wing frame was determined by the Pareto method basing on three criteria: minimal weight, minimal wing deflection, maximal safety factor and minimal weight. Positions of wing frame parts, i.e. spars and ribs, were considered as optimization parameters. As a result, an optimal design of a composite spar-type wing was proposed. All the calculations necessary to select the optimal structural and design of the spar composite wing were performed using nonlinear static finite element analysis in the FEMAP with NX Nastran software package.

Multi-Criteria Optimization of a Two-Spar Composite Wing for a Light Aircraft

2021 ◽  
pp. 76-87
Author(s):  
O.V. Tatarnikov ◽  
W.A. Phyo ◽  
Lin Aung Naing
Keyword(s):  
Finite Element Analysis ◽  
Software Package ◽  
Optimization Procedure ◽  
Structural Elements ◽  
Structural Element ◽  
Element Analysis ◽  
Optimization Criteria ◽  
Optimization Parameters ◽  
Nonlinear Static ◽  
Composite Wing

The article considers the results of optimization of the two-spar composite wing for the K-8 training aircraft. The geometric characteristics of the main structural elements of the wing such as spars, ribs and skin; orientation angles of the reinforcing layers and their thicknesses for each wing structural element, as well as the type of composite material and cost were selected as optimization parameters. The proposed optimization procedure includes several steps; each step uses a multi-criteria approach. The minimum deflection, weight, and cost are taken as optimization criteria. All the necessary calculations for selecting the optimal optimization parameters were performed using nonlinear static finite element analysis in the FEMAP software package.

Optimal design of composite wing structures with blended laminates

2007 ◽  
Vol 38 (4) ◽  
pp. 469-480 ◽  
Author(s):  
Omprakash Seresta ◽  
Zafer Gürdal ◽  
David B. Adams ◽  
Layne T. Watson
Keyword(s):  
Optimal Design ◽  
Wing Structures ◽  
Composite Wing

Development of Sensor Integrated Composite Wing Structure

2010 ◽  
Vol 123-125 ◽  
pp. 903-906 ◽  
Author(s):  
Mi Jin Choi ◽  
Jin Seong Kim ◽  
Young Kyu Kim ◽  
Jong Hoon Kim ◽  
Ko Woon Choi ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Failure Modes ◽  
Fatigue Tests ◽  
Optimal Number ◽  
Sensor System ◽  
Element Analysis ◽  
Vehicle Performance ◽  
Aerial Vehicle ◽  
Wing Structure ◽  
Composite Wing

Demands for improved aerial vehicle performance have led to the increasing use of composite materials. However, the mechanical behavior and failure modes of composites are not characterized as well as metals, and damages may be more difficult to detect. To overcome this, there is a demand to develop a structural health monitoring (SHM) system for composite aerial vehicles. This paper presents the development of sensor integrated composite wing structure, which is an essential part of SHM system. The composite wing structure was manufactured using an autoclave process, and Fiber Bragg Grating (FBG) optical sensor and piezoelectric (PZT) sensor were installed. The optimal number and location of each sensor system are determined based on the experimental results and Finite Element Analysis (FEA). Installation procedures for FBG and PZT sensor system are developed and validated using tension-tension fatigue tests over 106 cycles.

scholarly journals The research of dynamic impacts on the hydraulic structure foundation base, transformed in the process of accident recovery

2018 ◽  
Vol 251 ◽  
pp. 04040
Author(s):  
Zaven Ter-Martirosyan ◽  
Ivan Luzin
Keyword(s):  
Field Experiments ◽  
Dynamic Properties ◽  
Soil Parameters ◽  
Experimental Site ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Foundation Base ◽  
Dynamic Impacts ◽  
Scale Experiment ◽  
Selection Of

The article presents the results of a comprehensive research of the dynamic impacts on a modified base. The modified base was obtained as a result of compensatory injection at the experimental site for the accident recovery at the hydraulic engineering structure. The complex study of the dynamic impacts includes special laboratory tests to determine the soil parameters, the finite element analysis of the experimental site, taking into account the dynamic properties, the selection of the necessary equipment for field experiments based on the numerical solution results, a full-scale experiment with the measurement of the foundation sediments of the experimental site.

scholarly journals Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3904
Author(s):  
Ji-Chang Son ◽  
Myung-Ki Baek ◽  
Sang-Hun Park ◽  
Dong-Kuk Lim
Keyword(s):  
Optimal Design ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Descent Method ◽  
Immune Algorithm ◽  
Electric Machines ◽  
Steepest Descent Method ◽  
Superior Performance ◽  
Element Analysis ◽  
Traction Motor

In this paper, an improved immune algorithm (IIA) was proposed for the torque ripple reduction optimal design of an interior permanent magnet synchronous motor (IPMSM) for a fuel cell electric vehicle (FCEV) traction motor. When designing electric machines, both global and local solutions of optimal designs are required as design result should be compared in various aspects, including torque, torque ripple, and cogging torque. To lessen the computational burden of optimization using finite element analysis, the IIA proposes a method to efficiently adjust the generation of additional samples. The superior performance of the IIA was verified through the comparison of optimization results with conventional optimization methods in three mathematical test functions. The optimal design of an IPMSM using the IIA was conducted to verify the applicability in the design of practical electric machines.

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