A multi-objective design optimization technique for weight and cost minimization of hybrid laminated composite structure by modified non-dominated sorting genetic algorithm

Praveen, V.; Dayan, G. Moses; Kumar, Ashok

doi:10.1016/j.matpr.2018.06.572

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The objective function that governs the optimization algorithm can be customized within the FEA solver to meet a range of design goals. Recent research has begun formulating optimization functions to reduce the material costs or mass of composite structures but rarely have optimization functions been formulated to reduce both [39]. Furthermore, most of these studies have neglected the effect of material selection on the outcome of the optimization process [5].…”

Section: Topology Optimization Formulationmentioning

confidence: 99%

Cost, Draping, Material and Partitioning Optimization of a Composite Rail Vehicle Structure

Lang

Radford

2022

Materials

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This study proposes a novel methodology to combine topology optimization and ply draping simulation to partition composite structures, improve structural performance, select materials, and enable more accurate representations of cost- and weight-efficient manufacturable designs. The proposed methodology is applied to a structure as a case study to verify that the methodology is effective. One design concept is created by subjecting the structure to a kinematic ply draping simulation to inform the partitioning of the structure, improve drapability and performance, and reduce structural defects. A second design concept is created that assumes that plies are draped over the entire structural geometry, forming an integral design. The two design concepts’ topologies are subsequently optimized to specify ideal material and ply geometries to minimize mass and reduce costs. The results indicate that the partitioned structure has a 19% lower mass and 15% lower material costs than the integral design. The two designs produced with the new methodology are also compared against two control designs created to emulate previously published methodologies that have not incorporated ply draping simulations. This demonstrates that neglecting the effects of ply draping produces topology optimization solutions that under-predict the mass of a structure by 26% and costs by 38%.

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Section: Topology Optimization Formulationmentioning

confidence: 99%

Cost, Draping, Material and Partitioning Optimization of a Composite Rail Vehicle Structure

Lang

Radford

2022

Materials

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“…Hybrid composite laminate involves parameters that should be optimized to produce composite laminate that can satisfy critical buckling load factor constraint. Metaheuristic algorithms have been applied in optimization of parameters of composite material [18,22,23,27,[31][32][33].…”

Section: An Overview Of Artificial Algae Algorithm (Aaa)mentioning

confidence: 99%

“…Praveen et al [18] proposed multi-objective method for weight and cost optimization of hybrid laminated composite. The weight, stacking sequence, and cost of the hybrid materials made from graphite/epoxy and glass/ epoxy were optimized using a modified non-dominated sorting GA.…”

Section: Introductionmentioning

confidence: 99%

Weight optimization of hybrid composite laminate using learning-oriented artificial algae algorithm

et al. 2020

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The optimal design of parameters is vital for the effective use of hybrid composite laminated structures. This is due to a highly dependent property of laminated composite structures strength on its fiber orientation, stacking sequence and the number of ply in each laminate. The main aim of this study is to apply Learning-Oriented Artificial Algae Algorithm for optimization of the weight of rectangular hybrid composite laminated plate subjected to compressive in-plane loading. The design parameters are number of plies and stacking sequence of the laminate. The critical buckling factor is the constraint of the optimization process. The parameters of the hybrid composite plate are optimized using Learning-Oriented Artificial Algae Algorithm with the aim of minimizing weight. The performance of the algorithm was compared with previous studies that employed the GA and ACO algorithms. The Learning-Oriented method is integrated to reduce the number of functions evaluated and in turn reducing computational cost. The results showed that Learning-Oriented Artificial Algae Algorithm outperformed GA and ACO, and hence can be successfully applied in the optimization of laminated composite structures.

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Assessment Criterion for Optimum Design Solutions of Piecewise Constant Sections in Rods of Rectangular Cross-Section With Stability or First Eigen-Frequency Limits

Lyakhovich

Akimov

Tukhfatullin

2020

Vestnik Tomskogo gosudarstvennogo arhitekturno-stroitelnogo uni

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Specific properties of optimum systems have been already considered in previous research. Moreover, the criteria were proposed for a correct assessment of proximity of optimum to minimum material consumption. In particular, the criteria are proposed for rods of rectangular crosssection with stability or first eigen-frequency limits. These criteria can be used for problem optimization, when the rod cross-sections continuously change longitudinally. The obtained optimum solutions can be considered as a perfect limited object. This optimum project function allows researcher to assess the real design solution using the proximity limit criterion (for example, material consumption limit). This kind of optimum design can also be used as a guideline for real design in terms of a stage-by-stage process of transition from a perfect to real object. In this case, it is possible to assess changes in the object optimality at each stage as compared to the initial and idealized solutions. In particular, one of the variants of the process includes replacing the rod with continuous longitudinally varying cross-sections by a rod with piecewise constant sections. The section boundaries can be based on a perfect object, and cross-sections can be determined by one of the optimization methods. This paper presents criteria, which ensure the reliable definition of the time of completion of the optimization process.

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A multi-objective design optimization technique for weight and cost minimization of hybrid laminated composite structure by modified non-dominated sorting genetic algorithm

Cited by 5 publications

References 11 publications

Cost, Draping, Material and Partitioning Optimization of a Composite Rail Vehicle Structure

Cost, Draping, Material and Partitioning Optimization of a Composite Rail Vehicle Structure

Weight optimization of hybrid composite laminate using learning-oriented artificial algae algorithm

Assessment Criterion for Optimum Design Solutions of Piecewise Constant Sections in Rods of Rectangular Cross-Section With Stability or First Eigen-Frequency Limits

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