Optimization of geometrical parameters in a specific composite lattice structure using neural networks and ABC algorithm

Yazdi, Marzie; Rostami, Seyyed Ali Latifi; Kolahdooz, Amin

doi:10.1007/s12206-016-0332-1

Cited by 24 publications

(8 citation statements)

References 18 publications

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“…They used S/N analysis and ANOVA to identify the significant parameters and their degree of contribution in the process output. The results reveal that pulse on-time has significant influence on the machining characteristics studied by Yazdi et al (2016) and Mirkalantari et al (2017). The influence of input parameters on the MRR was studied by Vishwakarma et al (2012).…”

Section: Introductionmentioning

confidence: 88%

The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments

Sadr

Kolahdooz

Eftekhari

2017

J. nav. arch. mar. engg.

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Abstract:Electrical Discharge Machining (EDM) N) 2080). Chip removal rate (MRR) and surface quality of parts were evaluated as the output characteristic of the study. The optimum conditions were achieved when the MRR is in the highest value and surface roughness is in the lowest one. For investigation of interaction, two kinds of DOE methods (Taguchi and determinant of optimal experimental design) are used. Then the optimal parameters are investigated with the help of the analysis signal to noise (S/

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Section: Introductionmentioning

confidence: 88%

The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments

Sadr

Kolahdooz

Eftekhari

2017

J. nav. arch. mar. engg.

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“…Though one advantage of using ANN models is the potential of good approximations of the relation between high-dimensional input and output, most studies at this stage have no more than 10 design variables. Typical inputs include the geometries of structural features such as stiffeners [126,[128][129][130], layup schemes (e.g. numbers of plies, material orientations and stacking sequence) [126,127,131,132], and the architecture of the micro/mesoscale structures [129].…”

Section: Fig 7 the General Framework Of Machine Learning Assisted Des...mentioning

confidence: 99%

How machine learning can help the design and analysis of composite materials and structures?

Liu¹,

Tian²,

Tao³

et al. 2020

Preprint

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Machine learning models are increasingly used in many engineering fields thanks to the widespread digital data, growing computing power, and advanced algorithms. Artificial neural networks (ANN) is the most popular machine learning model in recent years. Although many ANN models have been used in the design and analysis of composite materials and structures, there are still some unsolved issues that hinder the acceptance of ANN models in the practical design and analysis of composite materials and structures. Moreover, the emerging machine learning techniques are posting new opportunities and challenges in the data-based design paradigm. This paper aims to give a state-of-the-art literature review of ANN models in the nonlinear constitutive modeling, multiscale surrogate modeling, and design optimization of composite materials and structures. This review has been designed to focus on the discussion of the general frameworks and benefits of ANN models to the above problems. Moreover, challenges and opportunities in each key problem are identified and discussed. This paper is expected to open the discussion of future research scope and new directions to enable efficient, robust, and accurate data-driven design and analysis of composite materials and structures.

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“…В настоящий момент вес и параметры применяемых в изделиях ракетно-космической техники обшивок не учитываются при решении задач их оптимального проектирования [9][10][11][12][13][14][15][16][17], а задача проектирования сводится к оптимизации сетчатых структур, лишенных обшивки, с последующим добавлением обшивки уже исходя из технических или технологических требований. Такое решение вопроса приносит значительный прирост избыточной массы конструкции, а вклад обшивки в запасы прочности и надежности [18][19] и вовсе не учитывается.…”

Section: Introductionunclassified

Solution of the optimization problem for the purpose of designing a lattice polymer composite structure with the outer skin

Skleznev

Chervyakov

Agapov

2022

Naučn. vestn. MGTU GA

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In recent years, the urgency of the problem of launch vehicles load-bearing elements optimal design has continued to grow. One of the widespread structural designs is an anisogrid lattice structure made of polymer composite materials. Such structures are mass-produced and used as load-bearing bodies of space vehicles or fuselage compartments of atmospheric aircraft of advanced structural design. Until now, the weight and parameters of the skins used in products of rocket and space equipment have not been considered when solving optimal design problems, and the design problem has been reduced to optimizing lattice structures without skin. At the same time, the very use of skins for both atmospheric aircraft and load-bearing elements for space applications is a fairly common practice. However, not considering the availability of skin when designing a lattice load-bearing shell can lead to a significant increase in the mass of the structure with skin when applicable. The paper presents a method for the optimal design of lattice structures without ring ribs, but with the metal skin available, which can significantly reduce the weight of such structures, increasing the mass efficiency of products made of polymer composite materials used in aircraft. A confirmation of the results obtained with the help of an analytical solution and the results of a numerical experiment, obtained by modeling using the finite element method, is given. It is expected that the use of the proposed approach by considering the contribution of the skin response can lead to mass saving of the shell anisogrid structure up to 30 % compared with the methods of optimal design of lattice anisogrid structures currently used without considering the availability of skin in the design of the product.

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Optimization of geometrical parameters in a specific composite lattice structure using neural networks and ABC algorithm

Cited by 24 publications

References 18 publications

The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments

The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments

How machine learning can help the design and analysis of composite materials and structures?

Solution of the optimization problem for the purpose of designing a lattice polymer composite structure with the outer skin

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