Papers by Ali Rıza Yıldız
In order to meet today’s vehicle design requirements and to improve the
cost and fuel efficiency,... more In order to meet today’s vehicle design requirements and to improve the
cost and fuel efficiency, there is an increasing interest to design lightweight
and cost-effective vehicle components. In this research, a new
optimization algorithm, called the Cuckoo Search Algorithm (CS) algorithm,
is introduced for solving structural design optimization problems.
This research is the first application of the CS to the shape design optimization
problems in the literature. The CS algorithm is applied to the structural
design optimization of a vehicle component to illustrate how the
present approach can be applied for solving structural design problems.
Results show the ability of the CS to find better optimal structural design.
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This paper presents a new method for synthesizing structural assemblies directly from the design ... more This paper presents a new method for synthesizing structural assemblies directly from the design specifications, without going through the two-step process. Given an extended design domain with boundary and loading conditions, the method simultaneously optimizes the topology and geometry of an entire structure and the location and configuration of joints, considering structural performance, manufacturability, and assembleability. As a relaxation of our previous work utilizing a beam-based ground structure, this paper presents a new formulation in a continuum design domain, which enhances the ability to represent complex structural geometry observed in real-world products. A multiobjective genetic algorithm is used to obtain Pareto optimal solutions that exhibit trade-offs among stiffness, weight, manufacturability, and assembleability. Case studies with a cantilever and a simplified automotive floor frame under multiple loadings are examined to show the effectiveness of the proposed method. Representative designs are selected from the Pareto front and trade-offs among the multiple criteria are discussed.
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In manufacturing industry, turning operations are used to remove unwanted sections of a part to o... more 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.
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In this paper, a comparison of evolutionary-based optimization techniques for structural design o... more 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.
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In this paper, metamodeling and five well-known metaheuristic optimization algorithms were used t... more In this paper, metamodeling and five well-known metaheuristic optimization algorithms were used to reduce the weight and improve crash and NVH attributes of a vehicle simultaneously. A high-fidelity full vehicle model is used to analyze peak acceleration, intrusion and com-ponent's internal-energy under Full-Frontal, Offset-Frontal , and Side crash scenarios as well as vehicle natural frequencies. The radial basis functions method is used to approximate the structural responses. A nonlinear surro-gate-based mass minimization was formulated and solved by five different optimization algorithms under crash-vibration constraints. The performance of these algorithms is investigated and discussed.
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The fuel and cost efficiency in automotive industry is related
to the designing of light-weight v... more The fuel and cost efficiency in automotive industry is related
to the designing of light-weight vehicle components.
Main aim of this paper is to show effectiveness of
two new optimization algorithms in solving structural
design optimization problems. The gravitational search
algorithm (GSA) and charged system search algorithm
(CSS) are applied to the optimum design of a vehicle
component. The results show that both GSA and CSS
have a better search capability than the genetic algorithms
to find optimum solutions.
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75 58 (2016) 1 © Carl Hanser Verlag, München Materials Testing MAT/Law36 is in Radioss 12, known ... more 75 58 (2016) 1 © Carl Hanser Verlag, München Materials Testing MAT/Law36 is in Radioss 12, known as Iso-tropic Elastic-Plastic Piecewise Linear. The material properties are given as: density = 7850 kg × m-3 elastisity modulus E = 210 GPa Poisson ratio PR = 0.3 shear stress SIGY = 391 MPa The true stress-strain values for the used material are given in Table 1. In this work, a rigid wall was modeled as 100 kg and moved at a speed of 15.6 m × s-1. The boundary conditions and other definitions are shown in Figure 2. The crash analysis of all designs was done using Radioss 12.
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Papers by Ali Rıza Yıldız
cost and fuel efficiency, there is an increasing interest to design lightweight
and cost-effective vehicle components. In this research, a new
optimization algorithm, called the Cuckoo Search Algorithm (CS) algorithm,
is introduced for solving structural design optimization problems.
This research is the first application of the CS to the shape design optimization
problems in the literature. The CS algorithm is applied to the structural
design optimization of a vehicle component to illustrate how the
present approach can be applied for solving structural design problems.
Results show the ability of the CS to find better optimal structural design.
to the designing of light-weight vehicle components.
Main aim of this paper is to show effectiveness of
two new optimization algorithms in solving structural
design optimization problems. The gravitational search
algorithm (GSA) and charged system search algorithm
(CSS) are applied to the optimum design of a vehicle
component. The results show that both GSA and CSS
have a better search capability than the genetic algorithms
to find optimum solutions.
cost and fuel efficiency, there is an increasing interest to design lightweight
and cost-effective vehicle components. In this research, a new
optimization algorithm, called the Cuckoo Search Algorithm (CS) algorithm,
is introduced for solving structural design optimization problems.
This research is the first application of the CS to the shape design optimization
problems in the literature. The CS algorithm is applied to the structural
design optimization of a vehicle component to illustrate how the
present approach can be applied for solving structural design problems.
Results show the ability of the CS to find better optimal structural design.
to the designing of light-weight vehicle components.
Main aim of this paper is to show effectiveness of
two new optimization algorithms in solving structural
design optimization problems. The gravitational search
algorithm (GSA) and charged system search algorithm
(CSS) are applied to the optimum design of a vehicle
component. The results show that both GSA and CSS
have a better search capability than the genetic algorithms
to find optimum solutions.