Multiobjective optimization framework for designing a vehicle suspension system. A comparison of optimization algorithms

Llopis-Albert, Carlos; Rubio, Francisco J.; Zeng, Shouzhen

doi:10.1016/j.advengsoft.2022.103375

Cited by 22 publications

(13 citation statements)

References 25 publications

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“…A thorough discussion of such strategies can be found in the work referred to in [43]. For this study, we have selected the pilOPT approach, because it usually leads to better results than the other algorithms [42]. It is a multi-strategy self-adapting technique that integrates the advantages of global and local search algorithms.…”

Section: • Comprehensive Analysismentioning

confidence: 99%

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Digital Twin-Based Approach for a Multi-Objective Optimal Design of Wind Turbine Gearboxes

Llopis-Albert,

Rubio,

Devece

et al. 2024

Mathematics

Self Cite

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Wind turbines (WT) are a clean renewable energy source that have gained popularity in recent years. Gearboxes are complex, expensive, and critical components of WT, which are subject to high maintenance costs and several stresses, including high loads and harsh environments, that can lead to failure with significant downtime and financial losses. This paper focuses on the development of a digital twin-based approach for the modelling and simulation of WT gearboxes with the aim to improve their design, diagnosis, operation, and maintenance by providing insights into their behavior under different operating conditions. Powerful commercial computer-aided design tools (CAD) and computer-aided engineering (CAE) software are embedded into a computationally efficient multi-objective optimization framework (modeFrontier) with the purpose of maximizing the power density, compactness, performance, and reliability of the WT gearbox. High-fidelity models are used to minimize the WT weight, volume, and maximum stresses and strains achieved without compromising its efficiency. The 3D CAD model of the WT gearbox is carried out using SolidWorks (version 2023 SP5.0), the Finite Element Analysis (FEA) is used to obtain the stresses and strains, fields are modelled using Ansys Workbench (version 2024R1), while the multibody kinematic and dynamic system is analyzed using Adams Machinery (version 2023.3, Hexagon). The method has been successfully applied to different case studies to find the optimal design and analyze the performance of the WT gearboxes. The simulation results can be used to determine safety factors, predict fatigue life, identify potential failure modes, and extend service life and reliability, thereby ensuring proper operation over its lifetime and reducing maintenance costs.

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Section: • Comprehensive Analysismentioning

confidence: 99%

“…Likewise, the computational cost of data processing is still an issue in large-scale applications. As a result, DTs help to reduce the cost of wind energy and to improve the reliability of wind turbines, which has promoted their dissemination in the academic world and their applications in the engineering field [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Digital Twin-Based Approach for a Multi-Objective Optimal Design of Wind Turbine Gearboxes

Llopis-Albert,

Rubio,

Devece

et al. 2024

Mathematics

Self Cite

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“…In recent years, there has been a growing interest in combining machine learning algorithms with optimization techniques to enhance the accuracy and efficiency of models. Several recent studies [32][33][34][35][36][37] have investigated the potential of such combinations, as highlighted in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comprehensive Study of DCNN Algorithms-based Transfer Learning for Human Eye Cataract Detection

Jidan,

Paul,

Roy

et al. 2023

IJACSA

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This study presents a comparative analysis of different deep convolutional neural network (DCNN) architectures, including VGG19, NASNet, ResNet50, and MobileNetV2, with and without data augmentation, for the automatic detection of cataracts in fundus images. Utilizing hybrid architecture models, namely ResNet50-NASNet and ResNet50+MobileNetV2, which combine two state-of-the-art DCNNs, this research demonstrates their superior performance. Specifically, MobileNetV2 and the combined ResNet50+MobileNetV2 outperform other models, achieving an impressive accuracy of 99.00%. By emphasizing the efficacy of diverse datasets and pre-processing techniques, as well as the potential of pretrained DCNN models, this study contributes to accurate cataract diagnosis. Furthermore, the proposed system has the potential to reduce reliance on ophthalmologists, decrease the cost of eye check-ups, and improve accessibility to eye care for a wider population. These findings showcase the successful application of deep learning and image processing techniques in the early detection and treatment of various medical conditions, including cataracts, addressing the needs of individuals with diminished vision through ocular images and innovative hybrid architectures.

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Section: Introductionmentioning

confidence: 99%

Digital Twin-Based Approach for a Multi-objective Optimal Design of Wind Turbine Gearboxes

Llopis-Albert,

Rubio,

Devece

et al. 2024

Preprint

View full text Add to dashboard Cite

Wind turbines (WTs) are clean a renewable energy source that has been growing in popularity in recent years. Gearboxes are complex, expensive, and critical components of WT, which are subject to high maintenance costs and several stresses including high loads and harsh environments that can lead to failure with significant downtime and financial losses. This paper focuses on the development of a digital twin-based approach for the modelling and simulation of WT gearboxes with the aim to improve their design, diagnosis, operation, and maintenance by providing insights into their behavior under different operating conditions. Pow-erful commercial computer-aided design tools (CAD) and computer-aided engineering (CAE) software are embedded into a computationally efficient multi-objective optimization framework (modeFrontier) with the aim of maximizing the power density, compactness, performance, and reliability of the WT gearbox. This entails minimizing its weight, volume, and maximum stresses and strains achieved without compromising efficiency. The 3D CAD model of the WT gearbox is carried out using SolidWorks, the Finite Element Analysis (FEA) to obtain the stresses and strains fields are modelled using Ansys Workbench, while the multibody kinematic and dynamic system is analyzed using MSC Adams. The method has been successfully applied to different case studies to find the optimal design and analyze the performance of the WT gearboxes. Simulation results can be used to identify potential failure modes and optimize gearbox design to improve performance, extend service life and relia-bility, thereby ensuring proper operation over its lifetime and reducing maintenance costs.

show abstract

Multiobjective optimization framework for designing a vehicle suspension system. A comparison of optimization algorithms

Cited by 22 publications

References 25 publications

Digital Twin-Based Approach for a Multi-Objective Optimal Design of Wind Turbine Gearboxes

Digital Twin-Based Approach for a Multi-Objective Optimal Design of Wind Turbine Gearboxes

A Comprehensive Study of DCNN Algorithms-based Transfer Learning for Human Eye Cataract Detection

Digital Twin-Based Approach for a Multi-objective Optimal Design of Wind Turbine Gearboxes

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