A combined genetic algorithm and finite element method for the determination of a practical elasto-electric set for 1-3 piezocomposite phases

Rouffaud, Rémi; Hladky‐Hennion, Anne‐Christine; Levassort, Franck

doi:10.1016/j.ultras.2017.02.015

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…Literature [ 15 ] suggests that the image representation of regional cultural and creative products not only has cognitive and aesthetic functions, but also can convey the inner feelings of products. Product modeling design mainly refers to the functional modeling of form, and the functionality of modeling includes material function and spiritual function.…”

Section: Related Workmentioning

confidence: 99%

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Han

2022

Computational Intelligence and Neuroscience

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Wenchuang product is the abbreviation of cultural and creative products, which is a modern extension of traditional culture. Its dissemination is conducive to enhancing the popularity, appeal, and influence of Chinese traditional culture. As an important carrier and manifestation of cultural and creative industries, Wenchuang products are the integration of regional cultural industry development and the dominant presentation of regional politics, culture, and economy. As a highly parallel, random, and adaptive search algorithm, genetic algorithm has been widely used in personalized product design, conceptual design, product optimization design, and intelligent design, etc. Based on the genetic algorithm, this paper studies the image representation of regional cultural and creative products. In the field of image representation design of regional cultural and creative products, tree structure coding, real number coding, binary coding, etc. are widely used in this field, and these coding methods all meet the innovative requirements of designers. In the field of image representation design of regional cultural and creative products, genetic coding, as a very important part of applying genetic algorithm, plays a very important role in its research and application.

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Section: Related Workmentioning

confidence: 99%

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Han

2022

Computational Intelligence and Neuroscience

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“…In this research, an individual consists of 10 genes representing the design variables. It is recommended that the population size contain ten times the number of individual genes [45]. Therefore, the population size is assigned as 100, and the number of evolutionary generations is 20 as a stopping condition to reduce the total simulation time.…”

Section: Preform Optimal Process and Resultsmentioning

confidence: 99%

Automatic preform design and optimization for aeroengine disk forgings

Han

Wang

Chen

et al. 2023

Int J Adv Manuf Technol

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To ensure a more uniform microstructure distribution of forging and improve the service performance of aeroengine disk parts, an automated preform design method is proposed for integrated preform shape design and optimization based on the NURBS curve, finite element method (FEM), and genetic algorithm (GA). Firstly, the random preform shape graph is automatically constructed by the NURBS curve design criterion. The volume and shape complexity are used as the constraints of the preform. Then the ratio of the mesh area within the set strain range to the total mesh area is used as the fitness function for the uniformity of deformation, and the genetic algorithm module is used for optimization. Finally, a large disk forging is an example of its optimal design. The results show that the deformation uniformity of the forgings is excellent, its fitness value is as high as 99.59%, and there are no problems such as folding, underfilling, and limited distribution of flash, which verifies the effectiveness of the method. In addition, the method has the advantage of strong universality, which can find the preform shape with good deformation uniformity for any shape forgings.

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“…One rising approach to determine the properties of piezoelectric materials are the FEMbased methods. Most of them adjust the theoretical electrical impedance curve to fit with the experimental one: an automatic algorithm is implemented to find the material properties that minimise the difference between the numerical impedance curve and the experimental one, in a given frequency range [16,[23][24][25][26][27][28].…”

Section: Discussionmentioning

confidence: 99%

Modelling and experimental measurements of the mechanical response of piezoelectric structures from millimetre to micrometre

Bavencoffe

Tembhurnikar

Négulescu

et al. 2018

Advances in Applied Ceramics

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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A combined genetic algorithm and finite element method for the determination of a practical elasto-electric set for 1-3 piezocomposite phases

Cited by 7 publications

References 32 publications

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Automatic preform design and optimization for aeroengine disk forgings

Modelling and experimental measurements of the mechanical response of piezoelectric structures from millimetre to micrometre

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