Development of CFRP racing motorcycle rims using a heuristic evolutionary algorithm approach
The scope of this paper is the application of evolutionary optimization methods to the development of composite fibre reinforced plastics (CFRP) racing motorcycle rims. The mass and the moment of inertia of a front and a rear CFRP rim are minimized subject to manufacturing, strength, and stiffness c...
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Published in | Structural and multidisciplinary optimization Vol. 30; no. 1; pp. 54 - 65 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Springer Nature B.V
01.07.2005
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Subjects | |
Online Access | Get full text |
ISSN | 1615-147X 1615-1488 |
DOI | 10.1007/s00158-004-0471-3 |
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Abstract | The scope of this paper is the application of evolutionary optimization methods to the development of composite fibre reinforced plastics (CFRP) racing motorcycle rims. The mass and the moment of inertia of a front and a rear CFRP rim are minimized subject to manufacturing, strength, and stiffness constraints. The stacking sequence of the composite laminates is optimized by applying a sophisticated parameterization concept making an excellent compromise between a huge variety of structure properties and a reasonable number of optimization parameters. The mechanical properties are simulated using the finite element analysis package ANSYS . Resulting displacement and Tsai–Wu index values are combined with the mass of the rim in order to assign a fitness value to each different design solution. The smart formulation of the fitness function allows the exploration of solutions close to the required strength and stiffness properties. The proprietary software DynOPS is utilized as an optimization engine. It links an evolutionary algorithm to arbitrary simulation programs and controls the entire optimization process. The sophisticated parameterization concept, together with the fitness function formulation, are the basis for the development of CFRP motorcycle rims decisively lighter than state-of-the-art magnesium alloy rims. |
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AbstractList | The scope of this paper is the application of evolutionary optimization methods to the development of composite fibre reinforced plastics (CFRP) racing motorcycle rims. The mass and the moment of inertia of a front and a rear CFRP rim are minimized subject to manufacturing, strength, and stiffness constraints. The stacking sequence of the composite laminates is optimized by applying a sophisticated parameterization concept making an excellent compromise between a huge variety of structure properties and a reasonable number of optimization parameters. The mechanical properties are simulated using the finite element analysis package ANSYS . Resulting displacement and Tsai-Wu index values are combined with the mass of the rim in order to assign a fitness value to each different design solution. The smart formulation of the fitness function allows the exploration of solutions close to the required strength and stiffness properties. The proprietary software DynOPS is utilized as an optimization engine. It links an evolutionary algorithm to arbitrary simulation programs and controls the entire optimization process. The sophisticated parameterization concept, together with the fitness function formulation, are the basis for the development of CFRP motorcycle rims decisively lighter than state-of-the-art magnesium alloy rims. |
Author | Ermanni, P. Giger, M. |
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CitedBy_id | crossref_primary_10_1016_j_compstruc_2007_05_021 crossref_primary_10_1115_1_4003411 crossref_primary_10_1016_j_matpr_2021_08_099 crossref_primary_10_1007_s00158_006_0028_8 crossref_primary_10_2514_1_30884 crossref_primary_10_1515_secm_2019_0018 crossref_primary_10_1007_s00158_010_0576_9 crossref_primary_10_1017_S0890060417000324 crossref_primary_10_1007_s00158_013_0927_4 crossref_primary_10_1007_s00158_017_1861_7 crossref_primary_10_1007_s10732_007_9069_4 crossref_primary_10_1016_j_advengsoft_2009_07_004 |
Cites_doi | 10.1007/978-1-4471-0819-1_8 10.2514/5.9781600866234.0611.0635 10.1177/002199837100500106 10.1007/3-540-46033-0_19 |
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SubjectTerms | CAD Carbon fiber reinforced plastics Computer aided design Computer simulation Evolutionary algorithms Fiber composites Finite element method Fitness Genetic algorithms Laminates Magnesium base alloys Mechanical properties Moments of inertia Motorcycles Optimization Parameterization Polymers Racing Reinforced plastics Rims Stacking sequence (composite materials) Stiffness |
Title | Development of CFRP racing motorcycle rims using a heuristic evolutionary algorithm approach |
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