Optimum shape design of rotating shaft by ESO method

Kim, Yong-Han; Tan, Andy; Yang, Bo‐Suk; Kim, Won-Cheol; Choi, Byeong-Keun; An, Young-Su

doi:10.1007/bf03027653

Cited by 18 publications

(8 citation statements)

References 17 publications

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“…Next, with an increased rejection factor, the cycle is performed until a new steady state is reached. The iterative process continues until the desired result is achieved (for example, until all the material from those areas where the stress level does not exceed 25 % of the maximum is removed) [5,6].…”

Section: The Current State Of Development Of Methods Of Topological Optimization In Solving Design and Technological Problemsmentioning

confidence: 99%

Generative Design of a Frame Type Construction

Mastenko

Stelmakh

2021

KPI SN

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Background. In recent years, there has been a rapid development of the domestic military industry. Reducing the mass and increasing the specific strength of military products used in the field – the most pressing challenges facing engineers and scientists today. The rapid development of adaptive production has significantly expanded the possibilities of methods of topological optimization in the design of new products or improvement of existing design and technological solutions in order to reduce weight. Objective. The purpose of the paper is to improve the efficiency of designing the technology of manufacturing a frame type construction based on the method of topological optimization, which will reduce the weight of the product, while maintaining all the specified functional parameters. Methods. The paper presents an analysis of topological optimization methods and offers the interaction of modern ADS, namely CAD, CAM, CAE modules at the stage of design and technological preparation of production, which once again demonstrated its effectiveness in solving problems to reduce product weight. Results. The main tasks of topological optimization were solved for the frame type constructions, such as the minimization of volume and mass under physical constraints, as well as the optimization of other parameters with given geometric constraints. As a result, the proposed method of reducing the weight of the product is improved, which due to rational design and technological measures ensured a 56 % reduction in the weight of the frame type structure from the original and reduced the complexity of the manufacturing process by 22 % due to its effective adaptation to new technological conditions. Conclusions. The application of methods of topological optimization and rational establishment of design and technological constraints on products at the design stage can be very effective in solving problems of reducing the weight of products and optimizing manufacturing processes.

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Section: The Current State Of Development Of Methods Of Topological Optimization In Solving Design and Technological Problemsmentioning

confidence: 99%

Generative Design of a Frame Type Construction

Mastenko

Stelmakh

2021

KPI SN

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“…Реализация метода ESO на примере оптимизации консольной рамы [5] Математическая основа метода ESO достаточно проста и понятна, а его программная реализация не требует сложных приемов программирования, он в равной степени применим к 2D-и 3D-задачам [13]. Удаление элемента производится присвоением его модулю нулевого значения, что приводит к его игнорированию при последующих итерациях (при последующем вычислении глобальной матрицы жесткости).…”

Section: R Iunclassified

“…Удаление элемента производится присвоением его модулю нулевого значения, что приводит к его игнорированию при последующих итерациях (при последующем вычислении глобальной матрицы жесткости). По мере удаления элементов в итерационном процессе число уравнений уменьшается, снижая вычислительную трудоемкость задачи, что особенно важно для 3D-задач [13].…”

Section: R Iunclassified

Topology Optimization Methods in Aerospace Industry

Bashin¹,

Торсунов²,

Semenov³

2017

PNRPU Aerospace Engineering Bulletin

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Пермский национальный исследовательский политехнический университет, Пермь, Россия МЕТОДЫ ТОПОЛОГИЧЕСКОЙ ОПТИМИЗАЦИИ КОНСТРУКЦИЙ, ПРИМЕНЯЮЩИЕСЯ В АЭРОКОСМИЧЕСКОЙ ОТРАСЛИПосвящено основным методам топологической оптимизации, применяемым для увеличения удельной прочно-сти узлов аэрокосмической техники путем оптимизации их геометрических параметров. Для деталей, применяющихся в аэрокосмической отрасли, основными задачами топологической оптимизации могут являться как минимизация объе-ма/массы при прочностных ограничениях, так и оптимизация других параметров с ограничениями по объему. Рассмот-рены методы эволюционной оптимизации конструкций (ESO), метод двунаправленной эволюционной оптимизации кон-струкций (BESO), метод пенализации для твердого изотропного тела (SIMP), его гибридная модификация (ESO-SIMP) и метод установления уровня (Level-Set). Особенности их применения демонстрируются на примерах различных конст-рукций. Приведены теоретические основы для каждого из методов, области их применения. Рассмотрены их преиму-щества и недостатки. Кроме этого в работе представлен обзор примеров применения методов топологической оптими-зации в аэрокосмической отрасли. Рассмотрены работы, посвященные оптимизации геометрических параметров таких деталей, как нервюра крыла самолета, пилон, неохлаждаемая лопатка турбины и т.д. Проведен анализ значимости по-явления аддитивных технологий для процесса развития методов топологической оптимизации. Дана оценка перспек-тивности их совместного развития и вытеснения ими классических субтрактивных технологий производства.Ключевые слова: топологическая оптимизация, метод эволюционной оптимизации конструкций, метод двуна-правленной эволюционной оптимизации конструкций, метод пенализации для твердого изотропного тела, метод уста-новления уровня, аддитивные технологии. K.A. Bashin, R.A. Torsunov, S.V. SemenovPerm National Research Polytechnic University, Perm, Russian Federation TOPOLOGY OPTIMIZATION METHODS IN AEROSPACE INDUSTRYThe article is devoted to the basic methods of topological optimization, applied to increase the specific strength of nodes of aerospace technology, by optimizing their geometric parameters. For the details used in the aerospace industry, the main objectives of topological optimization may be to minimize volume / mass under strength limits and optimize other parameters with volume constraints. The method of evolutionary structural (ESO), the method of bi-directional evolutionary structural optimization (BESO), the method solid isotropic material with penalization (SIMP), its hybrid modification (ESO-SIMP) and the Level-Set method are considered. The features of their application are demonstrated on examples of various designs. The theoretical basis for each of the methods and the field of their application are given. Their advantages and disadvantages are considered. In addition, the paper reviews examples of the application of topological optimization methods in the aerospace industry. The works devoted to optimization of geometrical parameters of such details as a wi...

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“…22 The Evolutionary structural optimization (ESO) method is used to optimize the shaft shape for rotating machinery by gradually removing the ineffectively used material from the design domain. 23,24 Alternatively, by identifying the feasible material domain associated with the link geometries, the geometric shapes are determined for interference free motion. 25 Some other methods are available in the literature for mechanism dimensional synthesis to generate specified path or motion based on graphical and analytical techniques.…”

Section: Introductionmentioning

confidence: 99%

Optimal dynamic design of planar mechanisms using teaching–learning-based optimization algorithm

Chaudhary

2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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A two-stage optimization method for optimal dynamic design of planar mechanisms is presented in this paper. For dynamic balancing, minimization of the shaking force and the shaking moment is achieved by finding optimum mass distribution of mechanism links using the equimomental system of point-masses in the first stage of the optimization. In the second stage, their shapes are synthesized systematically by closed parametric curve, i.e. cubic B-spline curve corresponding to the optimum inertial parameters found in the first stage. The multi-objective optimization problem to minimize both the shaking force and the shaking moment is solved using evolutionary optimization algorithm – “Teaching-learning-based optimization (TLBO) algorithm”. The computational performance of TLBO algorithm is compared with another evolutionary optimization algorithm, i.e. genetic algorithm.

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Optimum shape design of rotating shaft by ESO method

Cited by 18 publications

References 17 publications

Generative Design of a Frame Type Construction

Generative Design of a Frame Type Construction

Topology Optimization Methods in Aerospace Industry

Optimal dynamic design of planar mechanisms using teaching–learning-based optimization algorithm

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