Structural shape optimization with meshless method and swarm-intelligence based optimization

Daxini, Sachin D.; Prajapati, J. M.

doi:10.1007/s10999-019-09451-3

Cited by 10 publications

(4 citation statements)

References 60 publications

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“…6,7 Structural optimization has been significantly affected and developed by the development of numerical simulation techniques and optimization algorithms. 8 Structural optimization problems are generally divided into three categories: size, shape, and topology optimization. Size optimization has proven to be extremely important in improving stress concentration, maximum displacement, and structural characteristics such as reducing weight.…”

Section: Introductionmentioning

confidence: 99%

Strength-based design of a fertilizer spreader chassis using computer aided engineering and experimental validation

İrsel

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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In this research, stress measurement tests and advanced application algorithms based on computer-aided design and engineering (CAD and CAE) were developed and tested. The algorithm was put implemented through a case study on the strength-based structural design and fatigue analysis of a chassis. This algorithm consists of numerical and experimental methods and additionally includes material tests, three-dimensional CAD, a finite element method (FEM)-based analysis procedures, a structural optimization strategy, prototype production, stress tests, a fatigue analysis, and design verification procedures. In the optimization study targeting the optimum chassis weight/strength ratio, two chassis prototypes, with 8 mm and a 5 mm wall thicknesses, were manufactured to verify the structural analysis and experimental tests. As a result of the FEA analyses, for 20 kN, which is the target load value of the chassis, for chassis thicknesses t = 5 mm and t = 8 mm, the maximum tensile strength was obtained as 93 MPa and 83 MPa, respectively. Thus, the material gain of 35.85 kg mass was achieved, and chassis utilization efficiency was increased. This research provides a useful methodology for experimental and advanced CAE techniques, especially for further research on complex stress and deformation analysis of chassis that are desired to be of optimum weight/strength ratio.

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Section: Introductionmentioning

confidence: 99%

Strength-based design of a fertilizer spreader chassis using computer aided engineering and experimental validation

İrsel

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Literature has reported on several of these optimization techniques that ensure designing safe, economical, low weight and optimum performing sandwich structures. Among these optimization techniques are Taguchi-Based Method, Fuzzy Logic Method, Artificial Neural Network (ANN), Genetic Algorithm and Response Surface Method (RSM), [13,[47][48][49][50]. Lan et.…”

Section: Sandwich Structure Optimization Techniquesmentioning

confidence: 99%

An overview on penetration mechanism and optimization techniques of steel sandwich structure under ballistic testing

Ebo-Quansah

Hassanin

Adachi

et al. 2022

International Journal of Materials Technology and Innovation

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This review reports on the current trends in steel-based sandwich structures subjected under high velocity impact. The review begins with a brief introduction on sandwich structures in general. It then delves into detail on some structural configuration parameters that affect sandwich performance. Light has been thrown on the energy absorption mechanisms of sandwich panels. The current global demand on energy necessitates the design of lightweight structures. Therefore, the review also elucidates on sandwich design optimization techniques mostly employed by researchers in meeting design constraints and objectives at the minimum weight and cost. Among these optimization techniques are the artificial neural network, fuzzy logic, Taguchi based method, response surface method, particle swarm optimization, genetic algorithm among others. The promising potential of auxetic materials with their negative Poisson's ratio in resisting impact penetration has been discussed. A comprehensive explanation on failure mechanisms that are encountered during projectile penetration has also been elaborated upon. Parameters such as projectile geometry, core design, core material and thickness of facesheets noted to have enormous influence on penetration resistance have also been addressed.

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“…The selection of optimization methods should ensure convergence as quickly as possible on the basis of global optimization (Bonyadi and Michalewicz, 2017). At present, genetic algorithm (GA) and PSO have recently demonstrated their success and popularity in optimization applications methods, and they are more in line with our optimization requirements (Daxini and Prajapati, 2019). The aforementioned analysis shows that there are three main difficulties in the global optimization of the piezoelectric cantilever shape for energy harvesters: 1) parameterization of the piezoelectric cantilever beam shape; 2) accurate and efficient computation of the output power of energy harvester system; and 3) selection of the optimization method.…”

Section: Introductionmentioning

confidence: 99%

Topological optimization of a variable cross-section cantilever-based piezoelectric wind energy harvester

et al. 2022

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Wind energy is a typical foreseeable renewable energy source. This study constructs and optimizes a variable cross-section cantilever-based piezoelectric energy harvester for low-speed wind energy harvesting. The Galerkin approach is usually used to discretize the continuum model and then get the ordinary differential equations. However, this method is more suitable for calculating uniformity than the variable cross-sectional beam model. To solve this problem, we proposed an improved piecewise Galerkin approach for discretizing the continuum model with a variable cross section. By modifying the boundary expressions and modal functions between segments, it can improve both computation speed and accuracy. COMSOL simulations demonstrate that natural frequencies calculated via the improved method are more accurate than those of the traditional Galerkin method. The method of multiple scales is applied to determine the output power and critical wind velocity. A distinctive numerical approach is presented for shape optimization by combining the analytical calculation method with the particle swarm optimization (PSO) technique for low-speed wind energy harvesting. Additionally, the logic function is chosen to produce the optimal shape’s fitting expression for engineering applications. With all the improvements, the output power of a variable cross-section beam-based harvester reaches as much as 3.668 times that of a uniform beam model, demonstrating the importance of structural optimization for this type of energy harvesters. Finally, experiments are set up to verify the optimization procedure. Actually, it builds an analytical framework for the adaptive selection of variable-section piezoelectric cantilever wind-induced vibration energy harvesters.

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Structural shape optimization with meshless method and swarm-intelligence based optimization

Cited by 10 publications

References 60 publications

Strength-based design of a fertilizer spreader chassis using computer aided engineering and experimental validation

Strength-based design of a fertilizer spreader chassis using computer aided engineering and experimental validation

An overview on penetration mechanism and optimization techniques of steel sandwich structure under ballistic testing

Topological optimization of a variable cross-section cantilever-based piezoelectric wind energy harvester

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