Multi-objective optimal design of hybrid composite laminates for minimum cost and maximum fundamental frequency and frequency gaps

Multi-objective optimal design of sandwich composite laminates consisting of high stiffness and expensive surface layers and low-stiffness and inexpensive core layer is addressed in this paper. The object is to determine ply angles and number of surface layers and core thickness in such way that natural frequency is maximized with minimal material cost and weight. A simulated annealing algorithm with finite element method is used for simultaneous cost and weight minimization and frequency maximization. The proposed procedure is applied to Graphite-Epoxy/Glass-Epoxy and Graphite-epoxy/Aluminum sandwich laminates and results are obtained for various boundary conditions and aspect ratios. Results show that this technique is useful in designing of effective, competitive and light composite structures.

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Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/09544062211050455 ◽

2021 ◽

pp. 095440622110504

Author(s):

Zhao Jing ◽

Qin Sun ◽

Yongjie Zhang ◽

Ke Liang

Keyword(s):

Multiobjective Optimization ◽

Fundamental Frequency ◽

Hybrid Composite ◽

Composite Laminates ◽

Optimization Design ◽

Heuristic Algorithms ◽

Optimization Problems ◽

Design Flexibility ◽

The Cost ◽

Ply Orientation

Due to the large variable design space in optimization problems of composite laminates, it remains one of the challenging tasks to develop efficient optimization design methods to improve the design flexibility and efficiency. This work presents a sequential permutation table (SPT) method for the multiobjective optimization design of two-material hybrid composite laminates with simply supported boundary conditions, which maximizes the fundamental frequency and minimizes the cost/weight. Based on the vibration analysis of hybrid composite laminates, the approximate linear regularity of the square of fundamental frequency is derived, and two best ply orientations for the two materials are identified, respectively. By assigning one best ply orientation with maximum fundamental frequency at respective stacking positions, and using another best ply orientation to replace plies in the stacking sequence from the mid-plane to the outermost can lead to the optimum. Two multiobjective optimization problems are employed to verify the SPT method, results are compared with those obtained by heuristic algorithms. The obtained better solutions demonstrate the effectiveness and efficiency of the SPT method and its potentials for optimal design of hybrid composite laminates.

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Thermoelastic analysis and multi-objective optimal design of functionally graded flywheels for energy storage systems

Engineering Optimization ◽

10.1080/0305215x.2019.1674296 ◽

2019 ◽

Vol 52 (10) ◽

pp. 1682-1699 ◽

Cited By ~ 1

Author(s):

Alper Uyar ◽

Aytac Arikoglu ◽

Guven Komurgoz ◽

Ibrahim Ozkol

Keyword(s):

Energy Storage ◽

Optimal Design ◽

Storage Systems ◽

Functionally Graded ◽

Energy Storage Systems ◽

Thermoelastic Analysis ◽

Multi Objective

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A Multi-Objective Approach toward Optimal Design of Sustainable Integrated Biodiesel/Diesel Supply Chain Based on First- and Second-Generation Feedstock with Solid Waste Use

Energies ◽

10.3390/en14082261 ◽

2021 ◽

Vol 14 (8) ◽

pp. 2261

Author(s):

Evgeniy Ganev ◽

Boyan Ivanov ◽

Natasha Vaklieva-Bancheva ◽

Elisaveta Kirilova ◽

Yunzile Dzhelil

Keyword(s):

Supply Chain ◽

Optimal Design ◽

Solid Waste ◽

Second Generation ◽

Agricultural Land ◽

Optimization Problems ◽

Biodiesel Production ◽

Mixed Integer ◽

Economic Criterion ◽

Multi Objective

This study proposes a multi-objective approach for the optimal design of a sustainable Integrated Biodiesel/Diesel Supply Chain (IBDSC) based on first- (sunflower and rapeseed) and second-generation (waste cooking oil and animal fat) feedstocks with solid waste use. It includes mixed-integer linear programming (MILP) models of the economic, environmental and social impact of IBDSC, and respective criteria defined in terms of costs. The purpose is to obtain the optimal number, sizes and locations of bio-refineries and solid waste plants; the areas and amounts of feedstocks needed for biodiesel production; and the transportation mode. The approach is applied on a real case study in which the territory of Bulgaria with its 27 districts is considered. Optimization problems are formulated for a 5-year period using either environmental or economic criteria and the remainder are defined as constraints. The obtained results show that in the case of the economic criterion, 14% of the agricultural land should be used for sunflower and 2% for rapeseed cultivation, while for the environmental case, 12% should be used for rapeseed and 3% for sunflower. In this case, the price of biodiesel is 14% higher, and the generated pollutants are 6.6% lower. The optimal transport for both cases is rail.

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