Bursa Technical University

Osmangazi, Turkey

Bursa Technical University

Osmangazi, Turkey
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Yildiz A.R.,Bursa Technical University
Engineering Applications of Artificial Intelligence | Year: 2013

In this paper, a comparison of evolutionary-based optimization techniques for structural design optimization problems is presented. Furthermore, a hybrid optimization technique based on differential evolution algorithm is introduced for structural design optimization problems. In order to evaluate the proposed optimization approach a welded beam design problem taken from the literature is solved. The proposed approach is applied to a welded beam design problem and the optimal design of a vehicle component to illustrate how the present approach can be applied for solving structural design optimization problems. A comparative study of six population-based optimization algorithms for optimal design of the structures is presented. The volume reduction of the vehicle component is 28.4% using the proposed hybrid approach. The results show that the proposed approach gives better solutions compared to genetic algorithm, particle swarm, immune algorithm, artificial bee colony algorithm and differential evolution algorithm that are representative of the state-of-the-art in the evolutionary optimization literature. © 2012 Elsevier Ltd. All rights reserved.


Yildiz A.R.,Bursa Technical University
International Journal of Advanced Manufacturing Technology | Year: 2013

In this research, a new optimization algorithm, called the cuckoo search algorithm (CS) algorithm, is introduced for solving manufacturing optimization problems. This research is the first application of the CS to the optimization of machining parameters in the literature. In order to demonstrate the effectiveness of the CS, a milling optimization problem was solved and the results were compared with those obtained using other well-known optimization techniques like, ant colony algorithm, immune algorithm, hybrid immune algorithm, hybrid particle swarm algorithm, genetic algorithm, feasible direction method, and handbook recommendation. The results demonstrate that the CS is a very effective and robust approach for the optimization of machining optimization problems. © 2012 Springer-Verlag London Limited.


Gece G.,Bursa Technical University
Corrosion Science | Year: 2011

Due to the toxicity of widely used corrosion inhibitors and the ever tightening environmental regulations surrounding their use and disposal, there is great interest in replacing harmful inhibitors with effective non-hazardous alternatives. Over the past two decades, extensive research and development have led to the discovery of new classes of corrosion inhibitors, and the importance on the use of several drugs as corrosion inhibitors has grown. This review presents most of the contributions made to the literature on the use of drugs as corrosion inhibitors of various metals in recent years. © 2011 Elsevier Ltd.


Unur E.,Bursa Technical University
Microporous and Mesoporous Materials | Year: 2013

Hydrothermal carbonization (HTC) was utilized as a pretreatment method to convert high oxygen content lignocellulosic biomass, otherwise invaluable renewable material, to a more condensed functional material for higher value applications. Hazelnut shells (HS), an abundant agricultural biomass, were pre-carbonized to hydrophilic and thermochemically more stable hydrochar (HH) under hydrothermal conditions. Successive calcination of HH under inert atmosphere yielded a hydrophobic nanoarchitectured carbon material with a 250 m2 g-1 specific surface area (HH-T) while the same procedure in the presence of a porogen yielded a highly porous hydrophilic carbon material with a specific surface area of 1700 m2 g -1 (HH-KT). The batch-equilibrium and batch-kinetic methylene blue dye (MB) adsorption experiments, in aqueous solutions revealed that the HH-KT exhibits adsorption rates and capacities higher than biomass-derived activated carbons obtained by traditional routes. Monolayer adsorption capacity and pseudo-second order kinetic rate constant, as high as 524 mg g-1 and 0.052 g mg-1 min-1 were recorded for HH-KT, respectively. HH-KT, with its honeycomb-like structure dominated by micropores and mesopores, high pore volume, and appropriate surface functionality to anchor basic dyes, proves ideal for adsorption of polar organic pollutants from aqueous solutions. Materials produced by the presented sustainable approach, which eliminates the fossil fuel based precursors by mimicking the nature's way of coal making, can also be utilized in drug delivery, catalysis and energy storage applications. © 2012 Elsevier Inc. All rights reserved.


Yildiz A.R.,Bursa Technical University
Information Sciences | Year: 2013

Selection of cutting parameters in machining operations is an essential task to reduce cost of the products and increase quality. This paper presents an optimization approach based on artificial bee colony algorithm for optimal selection of cutting parameters in multi-pass turning operations. The objective is to find the optimized cutting parameters in the turning operations. A comparison of evolutionary-based optimization techniques to solve multi-pass turning optimization problems is presented. The results of the proposed approach for the case studies are compared with previously published results by using other optimization techniques in the literature. © 2012 Elsevier Inc. All rights reserved.


Yildiz A.R.,Bursa Technical University
Applied Soft Computing Journal | Year: 2013

The purpose of this paper is to develop a novel hybrid optimization method (HRABC) based on artificial bee colony algorithm and Taguchi method. The proposed approach is applied to a structural design optimization of a vehicle component and a multi-tool milling optimization problem. A comparison of state-of-the-art optimization techniques for the design and manufacturing optimization problems is presented. The results have demonstrated the superiority of the HRABC over the other techniques like differential evolution algorithm, harmony search algorithm, particle swarm optimization algorithm, artificial immune algorithm, ant colony algorithm, hybrid robust genetic algorithm, scatter search algorithm, genetic algorithm in terms of convergence speed and efficiency by measuring the number of function evaluations required. © 2012 Elsevier B.V. All rights reserved.


Yildiz A.R.,Bursa Technical University
Applied Soft Computing Journal | Year: 2013

Hybridizing of the optimization algorithms provides a scope to improve the searching abilities of the resulting method. The purpose of this paper is to develop a novel hybrid optimization algorithm entitled hybrid robust differential evolution (HRDE) by adding positive properties of the Taguchi's method to the differential evolution algorithm for minimizing the production cost associated with multi-pass turning problems. The proposed optimization approach is applied to two case studies for multi-pass turning operations to illustrate the effectiveness and robustness of the proposed algorithm in machining operations. The results reveal that the proposed hybrid algorithm is more effective than particle swarm optimization algorithm, immune algorithm, hybrid harmony search algorithm, hybrid genetic algorithm, scatter search algorithm, genetic algorithm and integration of simulated annealing and Hooke-Jeevespatter search. © 2012 Elsevier B.V. All rights reserved.


Yildiz A.R.,Bursa Technical University
Applied Soft Computing Journal | Year: 2013

This paper presents a novel hybrid optimization approach based on differential evolution algorithm and receptor editing property of immune system. The purpose of the present research is to develop a new optimization approach to solve optimization problems in the manufacturing industry. The proposed hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case study are compared with those of hybrid particle swarm algorithm, ant colony algorithm, immune algorithm, hybrid immune algorithm, genetic algorithm, feasible direction method and handbook recommendation. © 2012 Elsevier B.V. All rights reserved.


Yildiz A.R.,Bursa Technical University
Information Sciences | Year: 2012

In manufacturing industry, turning operations are used to remove unwanted sections of a part to obtain the final product. In this paper a comparison of state-of-the-art optimization techniques to solve multi-pass turning optimization problems is presented.Furthermore, a hybrid technique based on differential evolution algorithm is introduced for solving manufacturing optimization problems. The results have demonstrated the superiority of the hybrid approach over the other techniques like artificial bee colony algorithm, differential evolution algorithm, hybrid particle swarm optimization algorithm, hybrid artificial immune-hill climbing algorithm, hybrid taguchi-harmony search algorithm, hybrid robust genetic algorithm, scatter search algorithm, genetic algorithm and an improved simulated annealing algorithm in terms of convergence speed and efficiency by measuring the number of function evaluations required. © 2012 Elsevier Inc. All rights reserved.


Yildiz A.R.,Bursa Technical University
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering | Year: 2012

This paper presents an innovative optimization approach to solve structural design optimization problems in the automotive industry. The new approach is based on Taguchi's robust design approach and particle swarm optimization algorithm. The proposed approach is applied to the structural design optimization of a vehicle part to illustrate how the present approach can be applied for solving design optimization problems. The results show the ability of the proposed approach to find better optimal solutions for structural design optimization problems. © IMechE 2012.

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