Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm

Materials Testing, Год журнала: 2023, Номер 65(12), С. 1767 - 1775

Опубликована: Окт. 13, 2023

Abstract Nature-inspired metaheuristic algorithms are gaining popularity with their easy applicability and ability to avoid local optimum points, they spreading wide application areas. Meta-heuristic optimization used achieve an design in engineering problems aiming obtain lightweight designs. In this article, structural methods the process of achieving a seat bracket. As result topology optimization, new concept bracket was created shape optimization. mass stress values obtained depending on variables, constraint, objective functions were by using artificial neural networks. The problem based minimization is solved applying dandelion algorithm verified finite element analysis.

Язык: Английский

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A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems

Materials Testing, Год журнала: 2024, Номер 66(4), С. 544 - 552

Опубликована: Янв. 24, 2024

Abstract Nature-inspired metaheuristic optimization algorithms have many applications and are more often studied than conventional techniques. This article uses the mountain gazelle optimizer, a recently created algorithm, artificial neural network to optimize mechanical components in relation vehicle component optimization. The family formation, territory-building, food-finding strategies of gazelles serve as major inspirations for algorithm. In order various engineering challenges, base algorithm (MGO) is hybridized with Nelder–Mead (HMGO-NM) current work. considered was applied solve four different categories, namely automobile, manufacturing, construction, tasks. Moreover, obtained results compared terms statistics well-known algorithms. findings show dominance over rest optimizers. being said HMGO can be common range industrial real-world problems.

Язык: Английский

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Enhancing the structural performance of engineering components using the geometric mean optimizer

Materials Testing, Год журнала: 2024, Номер 66(7), С. 1063 - 1073

Опубликована: Апрель 30, 2024

Abstract In this article, a newly developed optimization approach based on mathematics technique named the geometric mean algorithm is employed to address challenge of robot gripper, airplane bracket, and suspension arm automobiles, followed by an additional three engineering problems. Accordingly, other challenges are ten-bar truss, three-bar tubular column, spring systems. As result, demonstrates promising statistical outcomes when compared well-established algorithms. Additionally, it requires less iteration achieve global optimum solution. Furthermore, exhibits minimal deviations in results, even techniques produce better or similar outcomes. This suggests that proposed paper can be effectively utilized for wide range critical industrial real-world challenges.

Язык: Английский

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Crash performance of a novel bio-inspired energy absorber produced by additive manufacturing using PLA and ABS materials

Materials Testing, Год журнала: 2024, Номер 66(5), С. 696 - 704

Опубликована: Фев. 19, 2024

Abstract Thin-walled structures are one of the important safety components used in vehicles. They placed front parts vehicles to minimize impacts that occur event a collision, and they absorb impact force by changing shape collision. Crash boxes have high-impact absorption, low weight, low-cost expectations. In design crash boxes, thin-walled preferred due their high deformation capability. this study, additive manufacturing method was produce structures. were produced methods using PLA ABS materials. The manufactured tested an test. experimental results, energy absorption ability from materials examined, fragility observed. results verified finite element analysis made

Язык: Английский

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Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm

Materials Testing, Год журнала: 2024, Номер 66(8), С. 1230 - 1240

Опубликована: Июль 5, 2024

Abstract This paper introduces a novel approach, the Modified Electric Eel Foraging Optimization (EELFO) algorithm, which integrates artificial neural networks (ANNs) with metaheuristic algorithms for solving multidisciplinary design problems efficiently. Inspired by foraging behavior of electric eels, algorithm incorporates four key phases: interactions, resting, hunting, and migrating. Mathematical formulations each phase are provided, enabling to explore exploit solution spaces effectively. The algorithm’s performance is evaluated on various real-world optimization problems, including weight engineering components, economic pressure handling vessels, cost welded beams. Comparative analyses demonstrate superiority MEELFO in achieving optimal solutions minimal deviations computational effort compared existing methods.

Язык: Английский

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Experimental analysis of the effects of different production directions on the mechanical characteristics of ABS, PLA, and PETG materials produced by FDM

Materials Testing, Год журнала: 2024, Номер 66(2), С. 198 - 206

Опубликована: Янв. 8, 2024

Abstract One of the most researched technologies among used for producing complex and diverse parts today is additive manufacturing. In manufacturing, production can be carried out using thermoplastic metal materials without requiring an additional process. Among manufacturing technologies, Fused Filament Fabrication (FFF) method widely worldwide due to its affordability broad application area. FFF a in which part formation achieved by depositing melted on each other. recent years, polymer such as polylactic acid (PLA), polyethylene terephthalate glycol (PETG), acrylonitrile butadiene styrene (ABS) have been frequently many industrial areas because they are lightweight, inexpensive, sustainable, provide sufficient strength engineering applications. This study conducted tensile, three-point bending, Charpy, compression tests PLA, PETG, ABS at angles 15°–75° 30°–60°, results were compared.

Язык: Английский

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Optimum design of additively manufactured aerospace components with different lattice structures

Materials Testing, Год журнала: 2024, Номер 66(6), С. 876 - 882

Опубликована: Март 13, 2024

Abstract Nowadays, the need for new technologies is increasing, especially to find solutions inadequacies in production of complex structures. The additive manufacturing methods developed facilitate parts and move technology forward with factors such as cost efficiency. With optimization designed by methods, it possible obtain optimum product even most At end process, final desired properties obtained a result part size tolerance precision optimizations. In this study, lattice applied passenger aircraft bracket. It aimed reduce weight and, at same time, increase efficiency optimizing For purpose, Altair Inspire program was used, variation mass, displacement, safety coefficient, stress values according different structures were investigated.

Язык: Английский

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Experimental Investigation on Mechanical properties of CF15PET and GF30PP materials produced with different raster angles

Materials Testing, Год журнала: 2024, Номер 66(6), С. 847 - 855

Опубликована: Март 22, 2024

Abstract In recent years, additive manufacturing (AM) technologies have been used in many industries, such as automotive, defense, space, and aviation. Depending on the development of this technology, effect relationship between parameters, raster angles, production speed, melting temperature during materials, has an important issue mechanical properties materials. study, effects ±45° 0–90° angles 15 % short carbon fiber reinforced polyethylenetereflatate (CF15PET) 30 glass polypropylene (GF30PP) materials were investigated. As a result it was determined that different affect both

Язык: Английский

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Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algorithm inspired by human dreams and its applications to real-world engineering problems

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2025, Номер 436, С. 117718 - 117718

Опубликована: Янв. 9, 2025

Язык: Английский

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Experimental investigation of mechanical properties of PLA, ABS, and PETG 3-d printing materials using fused deposition modeling technique

Materials Testing, Год журнала: 2023, Номер 65(12), С. 1795 - 1804

Опубликована: Сен. 7, 2023

Abstract In recent years, there has been a logarithmic interest in three-dimensional printing technologies. This technique made it possible to make more intricately shaped parts of superior quality, allowing for use variety industries, including aircraft, automobiles, and ships. study characterized the materials assessed mechanical features PLA, PETG, ABS generated at various raster angles. The strength ratios have found fluctuate when angles change. PLA created picture angle 45° had maximum tensile strength. material with shown best energy absorption, performance compressive When bending was evaluated, that samples 0–90° greatest value. SEM micrographs were obtained, test used examine fracture behavior materials. As result, using can values from one another.

Язык: Английский

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