KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/kmitl/1

Browse

Search Results

Now showing 1 - 10 of 15

Some of the metrics are blocked by your
consent settings
Multi-Objective Reliability-Based Partial Topology Optimization of a Composite Aircraft Wing
(2023-02-01)
Sleesongsom, Suwin
;
Kumar, Sumit
;
Bureerat, Sujin
Reliability-based partial topology optimization (RBPTO) is a new approach for aircraft structural design; however, it brings computational complexity and makes aeroelasticity analysis quite challenging. Therefore, the present study proposed the multi-objective reliability-based partial topology optimization of a composite aircraft wing using a fuzzy-based metaheuristic (MRBPTOFBMH) approach. The objective is to obtain an optimal layout including partial topology and sizing of the aircraft wing structure. Here, an optimal aeroelastic structure is designed by taking into account the uncertain nature of material properties and the permitted transverse displacement. To increase computational efficiency in the design process, a non-probabilistic approach called a possibilistic safety index-based design optimization (PSIBDO) with fuzzy uncertainties is proposed to quantify the uncertainties due to aeroelastic and structural constraints. Various optimum partial topological shapes and sizing of aircraft wing structures with various PSI values in the range of [0.001, 1.0] have been obtained in a single optimization run. These outcomes, including deterministic and reliable optimal aircraft wing structures, demonstrate the high effectiveness of the proposed MRBPTOFBMH technique to alleviate the complexity of unconventional aircraft wing structure design. The findings also reveal the ease in cooperation of the suggested technique with a high-performance multi-objective evolutionary algorithm (MOEA) and its application in real-world multi-objective design optimization (MODO) problems with the least computational requirements against the traditional method’s multiple runs. Furthermore, the proposed methodology can generate potential aircraft wing structures in a range of m = [89.38–127.84] kg, and flutter speed = [285.61–632.78] m/s, that adhere to all the constraints requirements.
Some of the metrics are blocked by your
consent settings
Two-Step Multi-Objective Reliability-Based Design Optimization of Aircraft Wing Structures
(2022-10-01)
Sleesongsom, Suwin
;
Kumar, Sumit
;
Bureerat, Sujin
The multi-objective reliability-based design optimization (MORBDO) of an aircraft structure employing a non-probabilistic model, at present, still has a high level of analysis complexity while solving the possibility safety index (PSI) as they are a triple-loop nested problem. Many techniques have been proposed to expedite the process of solving their inner loop with a single objective function; however, research on applying multi-objective optimization to complete this task is required. This research paper aims to reduce the solution complexity in the MORBDO of an aircraft wing structure, which is a symmetrical part of the aircraft structure. The present framework is comprised of a two-step technique that begins with the multi-objective optimization (MODO) of the wing structure, followed by its reliability analysis. A non-probabilistic model is adopted for uncertainty consideration, contrary to frequently used probabilistic models. The reliability design problem has aircraft wing mass, flutter speed, and the possibility safety index as objective functions. According to the results, the proposed MORBDO technique is highly effective in reducing the complexity of aircraft wing structural design and can generate more conservative and feasible design solutions with various PSI values. Such a design can be achieved within a single run, which has not been done in previous studies. The results show that the highest reliability aircraft wing structure mass is 104.8504 kg at a flutter speed of 584.5670 m/s. Additionally, the developed framework explicitly states the relationship between MODO and MORBDO.
Some of the metrics are blocked by your
consent settings
Ground structures-based topology optimization of a morphing wing using a metaheuristic algorithm
(2021-08-01)
Winyangkul, Seksan
;
Wansaseub, Kittinan
;
Sleesongsom, Suwin
;
Panagant, Natee
;
Kumar, Sumit
This paper presents multi-objective topology and sizing optimization of a morphing wing structure. The purpose of this paper is to design a new aircraft wing structure with a tapered shape for ribs, spars, and skins including a torsion beam for external actuating torques, which is antici-pated to modify the aeroelastic characteristic of the aircraft wing using multi-objective optimization. Two multi-objective topology optimization problems are proposed employing ground element structures with high-and low-grid resolutions. The design problem is to minimize mass, maximize difference of lift effectiveness, and maximize the buckling factor of an aircraft wing subject to aero-elastic and structural constraints including lift effectiveness, critical speed, and buckling factors. The design variables include aircraft wing structure dimensions and thickness distribution. The proposed optimization problems are solved by an efficient multi-objective metaheuristic algorithm while the results are compared and discussed. The Pareto optimal fronts obtained for all tests were compared based on a hypervolume metric. The objective function values for Case I and Case II at 10 selected optimal solutions exhibit a range of structural mass as 115.3216–411.6250 kg, 125.0137– 440.5869 kg, lift effectiveness as 1.0514–1.1451, 1.0834–1.1639 and bucking factor as 38.895–1133.1864 Hz, 158.1264–1844.4355 Hz, respectively. The best results reveal unconventional aircraft wing structures that can be manufactured using additive manufacturing. This research is expected to serve as a foundation for future research into multi-objective topology optimization of morphing wing structures based on the ground element framework.
Some of the metrics are blocked by your
consent settings
Reliability-based design of an aircraft wing using a fuzzy-based metaheuristic
(2021-07-02)
Winyangkul, Saksan
;
Sleesongsom, Suwin
;
Bureerat, Sujin
The purpose of this paper is to design aircraft wing using reliability-based design optimization concerned to fuzzy uncertainty variables. A possibilistic safety index-based design optimization (PSIBDO) with fuzzy uncertainties is proposed to overcome difficult tasks from the original probabilistic problem. The design problem is to minimize mass of a composite aircraft wing subject to aeroelastic and structural constraints through consideration of the material properties are the uncertainties. The design variables include aircraft wing structure dimensions. The reliability-based design approach is needed to alleviate such a problem. Due to the complexity of the aircraft wing structures design and aeroelastic analysis, nonprobability-based design is an alternative choice to increase computational efficiency in the design process. The optimum results show the efficiency of our proposed approach.
Some of the metrics are blocked by your
consent settings
Constraint handling technique for four-bar linkage path generation using self-adaptive teaching–learning-based optimization with a diversity archive
(2021-01-01)
Bureerat, Sujin
;
Sleesongsom, Suwin
This article proposes an alternative constraint handling technique for the four-bar linkage path generation problem. The constraint handling technique that is traditionally applied uses an exterior penalty function, and has been found to be inefficient, particularly when dealing with constraints on the input angles. The new technique deals with both input crank rotation and Grashof's criterion. Four classical path generation problems are used to test the performance of the proposed technique. A new adaptive teaching–learning-based optimization (TLBO) scheme is used to solve several optimization problems. This technique is referred to here as teaching–learning-based optimization with a diversity archive (ATLBO-DA), and was specifically developed for this design problem. The results show that this new design concept gives better results than those of previous work, and that ATLBO-DA is superior to the original version and other metaheuristic algorithms.
Some of the metrics are blocked by your
consent settings
Optimization of a High-Lift Mechanism Motion Generation Synthesis Using MHS
(2021-01-01)
Sleesongsom, Suwin
;
Bureerat, Sujin
The purpose of this paper is to synthesize a high-lift mechanism (HLM) of a transportation aircraft. In the past still lack in studying to synthesize of the HLM using a very recent technique. The device is an important mechanism to generate an addition lift to the wing of aircraft in take-off and landing condition. The crucial designing problem is to minimize the error between actual flap motion and target points. The optimum target points are positions and angles of flap at the take-off and landing condition. Designing constraints include the possibility of four-bar mechanism to work well, limiting position and includes workplace of mechanism. The optimizers are selected to tackle the problem is in a group of metaheuristics (MHs). The results show the propose method and MHs can synthesize the flap mechanism meet with the design targets.
Some of the metrics are blocked by your
consent settings
MULTIOBJECTIVE RELIABILITY-BASED DESIGN OF AN AIRCRAFT WING USING A FUZZY-BASED METAHEURISTIC
(2021-01-01)
Sleesongsom, Suwin
;
Winyangkul, Saksan
;
Bureerat, Sujin
This research presents a new multiobjective fuzzy-based metaheuristic (MOFBMH) for aircraft wing design, which considers the uncertain structural design based on a fuzzy set model. Usually, the objective of this kind of design problem is to minimize weight of the composite wing with failure possibility constraints rather than converting it to multiobjective optimization with a fuzzy variable vector for material properties and loading conditions. The proposed technique is established in the form of multiobjective optimization, which sets the possibilistic safety index (PSI) as an objective function along with structural weight. This technique can explore a possible reliability solution set in one optimization run, which is advantageous. The present technique is one of the posteriori-techniques that start with finding all solutions and choosing it later. Two design examples are used to demonstrate the present technique i.e.simple cantilever beam and composite aeroelastic wing design problems.The results show the proposed technique can explore all possible structures, which are more conservative, and realizable.
Some of the metrics are blocked by your
consent settings
Multi-objective reliability-based topology optimization of structures using a fuzzy set model
(2020-10-01)
Sleesongsom, Suwin
;
Bureerat, Sujin
This research proposes a multi-objective reliability-based topology optimization (MORBTO) for structural design, which considers uncertain structural parameters based on a fuzzy set model. The new technique is established in the form of multi-objective optimization where the equivalent possibilistic safety index (EPSI) is included as one of the objective functions along with mass, and compliance. This technique can reduce complexity due to a double-loop nest problem used previously due to performing single objective optimization. The present technique can accomplish within one optimization run using a multi-objective approach. Two design examples are used to demonstrate the present technique, which have the objectives as structural mass and compliance with the constraint of structural strength. The results show the proposed technique is effective and simple compared to previous techniques.
1
Some of the metrics are blocked by your
consent settings
Multi-objective, reliability-based design optimization of a steering linkage
(2020-09-01)
Sleesongsom, Suwin
;
Bureerat, Sujin
Reliability-based design optimization (RBDO) of a mechanism is normally based on the non-probabilistic model, which is viewed as failure possibility constraints in each optimization loop. It leads to a double-loop nested problem that causes a computationally expensive evaluation. Several methods have been developed to solve the problem, which are expected to increase the realization of optimum results and computational efficiency. The purpose of this paper was to develop a new technique of RBDO that can reduce the complexity of the double-loop nested problem to a single-loop. This involves using a multi-objective evolutionary technique combined with the worst-case scenario and fuzzy sets, known as a multi-objective, reliability-based design optimization (MORBDO). The optimization test problem and a steering linkage design were used to validate the performance of the proposed technique. The proposed technique can reduce the complexity of the design problem, producing results that are more conservative and realizable.
Some of the metrics are blocked by your
consent settings
Synthesis of four-bar linkage motion generation using optimization algorithms
(2019-07-01)
Phukaokaew, Wisanu
;
Sleesongsom, Suwin
;
Panagant, Natee
;
Bureerat, Sujin
Motion generation of a four-bar linkage is a type of mechanism synthesis that has a wide range of applications such as a pick-and-place operation in manufacturing. In this research, the use of meta-heuristics for motion generation of a four-bar linkage is demonstrated. Three problems of motion generation were posed as a constrained optimization probably using the weighted sum technique to handle two types of tracking errors. A simple penalty function technique was used to deal with design constraints while three meta-heuristics including differential evolution (DE), self-adaptive differential evolution (JADE) and teaching learning based optimization (TLBO) were employed to solve the problems. Comparative results and the effect of the constraint handling technique are illustrated and discussed.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results