An Efficient Simulation-Based Search Method for Reliability-Based  Robust Design Optimization of Mechanical Components

Mayda, Murat

doi:10.5755/j01.mech.23.5.15745

Cited by 13 publications

(5 citation statements)

References 20 publications

(22 reference statements)

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“…If meshing is not appreciative, the mesh adjustment should be done again. For this reason, it is important to optimize the number of mesh (mesh optimization), and many methods on mesh optimization have been recommended [32]. For ANSYS-Mechanical meshing, parameters such as body sizing and mesh refinement are used.…”

Section: Simulation Studiesmentioning

confidence: 99%

Thermal behavior of a three phase isolation transformer under load conditions with the finite element analysis

Balci

2020

THERM SCI

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Transformers are generally designed to operate under the sinusoidal excitation and the method called classical design method is used in design process. Nevertheless, they have to operate under the partly or fully non-linear excitation because of the increasing amount of the non-linear loads such as rectifiers, electric motor drivers, compact fluorescent lamps, computers, etc. Non-linear loads cause abnormal temperature rise both in the core and in the windings of the transformer which are designed for sinusoidal excitation. Nowadays in the virtual environment provided by the electromagnetic design software, transformers can be easily modeled with the finite element method for any type of non-linear loads or excitations. In this study, 3-D electromagnetic and thermal modeling of the isolation transformer at a certain rated power level have been carried out. Then, the core and the winding temperatures of the transformer have been comparatively reported under the linear and non-linear load conditions. Besides, forced air-cooling method of the transformer has been tested with the CFD. This study has shown that, transformer temperature can be kept in the safe operating region in any type of load by deciding the fan speed providing the required air-flow according to the transformer temperature.

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Section: Simulation Studiesmentioning

confidence: 99%

Thermal behavior of a three phase isolation transformer under load conditions with the finite element analysis

Balci

2020

THERM SCI

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“…This situation makes it more difficult to conduct the design optimization process when compared to the situations including analytical expressions. To overcome the challenge, the response surface methodologies that relies on the implementation of an optimization technique along with a response surface or surrogate model representing the experimental or simulated input-output data has been emerged [1,2]. These methodologies are also known to be surrogate model-based optimization methodologies.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of a Wafer Dough Blade Using Artificial Neural Network and Monte-Carlo Simulation

MAYDA,

BİTKİN

2023

mech

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In this work, a systematic method to conduct the surrogate-based design optimization is proposed by utilizing Artificial Neural Network and Monte Carlo Simulation. To show its applicability, the design optimization of a wafer dough blade that is an important component in the food industry is carried out. In the optimization problem, design variables or inputs are totally six variables including distances, diameter and thickness, and design responses or outputs are the blade mass, the maximum stress occurred on it, and its surface area. When the results of the initial and optimum designs are compared, there is a significant decrease in the maximum stress (nearly 66%) whereas there was a reasonable low difference in both the mass and surface area. Thanks to the proposed method, it can be possible to take into account the experimental data instead of analytical data in a design problem. Moreover, the followed method provides engineers with a practical and systematic way to find the optimum solution for even nonlinear problems needs to be solved during engineering design process.

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“…Examples on material modeling and designing can be found elsewhere [9][10][11][12][13][14]. Optimization methods have been used in most cases when solving such problems [11][12][13][14]. They include multi-objective optimization, which makes it possible to determine the optimal material composition, structure dimensions, technological parameters, etc.…”

Section: Introductionmentioning

confidence: 99%

Material Design Methodology for Optimized Wear-Resistant Thermoplastic–Matrix Composites Based on Polyetheretherketone and Polyphenylene Sulfide

et al. 2020

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The main goal of this paper is to design and justify optimized compositions of thermoplastic–matrix wear-resistant composites based on polyetheretherketone (PEEK) and polyphenylene sulfide (PPS). Their mechanical and tribological properties have been specified in the form of bilateral and unilateral limits. For this purpose, a material design methodology has been developed. It has enabled to determine the optimal degrees of filling of the PEEK- and PPS-based composites with carbon microfibers and polytetrafluoroethylene particles. According to the results of tribological tests, the PEEK-based composites have been less damaged on the metal counterpart than the PPS-based samples having the same degree of filling. Most likely, this was due to more uniform permolecular structure and greater elasticity of the matrix. The described methodology is versatile and can be used to design various composites. Its implementation does not impose any limits on the specified properties of the material matrix or the reinforcing inclusions. The initial data on the operational characteristics can be obtained experimentally or numerically. The methodology enables to design the high-strength wear-resistant composites which are able to efficiently operate both in metal–polymer and ceramic–polymer friction units.

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An Efficient Simulation-Based Search Method for Reliability-Based Robust Design Optimization of Mechanical Components

Cited by 13 publications

References 20 publications

Thermal behavior of a three phase isolation transformer under load conditions with the finite element analysis

Thermal behavior of a three phase isolation transformer under load conditions with the finite element analysis

Design Optimization of a Wafer Dough Blade Using Artificial Neural Network and Monte-Carlo Simulation

Material Design Methodology for Optimized Wear-Resistant Thermoplastic–Matrix Composites Based on Polyetheretherketone and Polyphenylene Sulfide

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