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

MU Erdaş, M Kopar, BS Yildiz, AR Yildiz - Materials Testing, 2023 - degruyter.com
Nature-inspired metaheuristic algorithms are gaining popularity with their easy applicability
and ability to avoid local optimum points, and they are spreading to wide application areas …

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

P Mehta, SM Sait, BS Yıldız, MU Erdaş, M Kopar… - Materials …, 2024 - degruyter.com
Nature-inspired metaheuristic optimization algorithms have many applications and are more
often studied than conventional optimization techniques. This article uses the mountain …

Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm

SM Sait, P Mehta, AR Yıldız, BS Yıldız - Materials Testing, 2024 - degruyter.com
Optimization techniques play a pivotal role in enhancing the performance of engineering
components across various real-world applications. Traditional optimization methods are …

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

M Kopar, AR Yildiz - Materials Testing, 2023 - degruyter.com
In recent years, there has been a logarithmic interest in three-dimensional printing
technologies. This technique has made it possible to make more intricately shaped parts of …

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

P Mehta, BS Yildiz, SM Sait, AR Yıldız - Materials Testing, 2024 - degruyter.com
This paper introduces a novel approach, the Modified Electric Eel Foraging Optimization
(EELFO) algorithm, which integrates artificial neural networks (ANNs) with metaheuristic …

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

P Mehta, AR Yildiz, SM Sait, BS Yildiz - Materials Testing, 2024 - degruyter.com
In this article, a newly developed optimization approach based on a mathematics technique
named the geometric mean optimization algorithm is employed to address the optimization …

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

MU Erdaş, BS Yildiz, AR Yildiz - Materials Testing, 2024 - degruyter.com
Thin-walled structures are one of the important safety components used in vehicles. They
are placed in the front parts of the vehicles to minimize the impacts that occur in the event of …

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

MU Erdaş, BS Yıldız, AR Yıldız - Materials Testing, 2024 - degruyter.com
One of the most researched technologies among technologies used for producing complex
and diverse parts today is additive manufacturing. In additive manufacturing, production can …

A novel hybrid Fick's law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems

P Mehta, BS Yildiz, SM Sait, AR Yildiz - Materials Testing, 2023 - degruyter.com
In this article, a recently developed physics-based Fick's law optimization algorithm is
utilized to solve engineering optimization challenges. The performance of the algorithm is …

Optimum design of additively manufactured aerospace components with different lattice structures

M Taşçı, MU Erdaş, M Kopar, BS Yıldız, AR Yıldız - Materials Testing, 2024 - degruyter.com
Nowadays, the need for new technologies is increasing, especially to find solutions to the
inadequacies in the production of complex structures. The additive manufacturing methods …