Fabrication and mechanical characterization of red mud based Al2025-T6 MMC using Lichtenberg optimization algorithm and Whale optimization algorithm

Challan, Matruprasad; Jeet, Siddharth; Bagal, Dilip Kumar; Mishra, Lipsamayee; Pattanaik, Ajit Kumar; Barua, Abhishek

doi:10.1016/j.matpr.2021.08.274

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…See Figure 2. This gives to the algorithm great exploratory power, making it achieve excellent results and surpassed other algorithms in several applications, such as damage identification of cracks (Pereira et al, 2020) and delaminations (Pereira et al, 2021a), isogrid tube design (Francisco et al, 2020a, b;Pereira et al, 2022c), multi-objective problems (Pereira et al, 2022a), hydrogen production (Souza et al, 2022), manufacturing process (Challan et al, 2022;Mohanty et al, 2022), wind forecast (Tian and Wang, 2022), sensor placement in helicopter blades (Pereira et al, 2022b), among others.…”

Section: Metaheuristicsmentioning

confidence: 99%

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Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Nogueira,

Pereira,

Simões Cunha Jr

2024

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PurposeThis study aims to apply for the first time in literature a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm and test the sensors' configuration found in a delamination identification case study.Design/methodology/approachThis work aims to study the damage identification in an aircraft wing using the Lichtenberg and multi-objective Lichtenberg algorithms. The former is used to identify damages, while the last is associated with feature selection techniques to perform the first sensor placement optimization (SPO) methodology with variable sensor number. It is applied aiming for the largest amount of information about using the most used modal metrics in the literature and the smallest sensor number at the same time.FindingsThe proposed method was not only able to find a sensor configuration for each sensor number and modal metric but also found one that had full accuracy in identifying delamination location and severity considering triaxial modal displacements and minimal sensor number for all wing sections.Originality/valueThis study demonstrates for the first time in the literature how the most used modal metrics vary with the sensor number for an aircraft wing using a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm.

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Section: Metaheuristicsmentioning

confidence: 99%

“…, 2022a), hydrogen production (Souza et al. , 2022), manufacturing process (Challan et al. , 2022; Mohanty et al.…”

Section: Backgroundsmentioning

confidence: 99%

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Nogueira,

Pereira,

Simões Cunha Jr

2024

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“…The Lichtenberg algorithm (LA) will be used in this step. The LA has had excellent results in several published works; for example, Francisco et al (2022) evaluated the multi-objective design optimization of the double arrowhead auxetic model using LA, fabrication and mechanical characterization of red mud-based AL2025-T6 MMC using the Lichtenberg optimization algorithm and the whale optimization algorithm (Challan et al, 2021), a powerful Lichtenberg optimization algorithm: a damage identification case study (Pereira et al, 2020), Lichtenberg optimization algorithm applied to crack tip identification in thin plate-like structures (Pereira et al, 2020) and design optimizations of carbon fiber-reinforced polymer isogrid lower limb prostheses using particle swarm optimization and the Lichtenberg algorithm (Francisco et al, 2020).…”

Section: Ec 409/10mentioning

confidence: 99%

“…The LA has had excellent results in several published works; for example, Francisco et al. (2022) evaluated the multi-objective design optimization of the double arrowhead auxetic model using LA, fabrication and mechanical characterization of red mud-based AL2025-T6 MMC using the Lichtenberg optimization algorithm and the whale optimization algorithm (Challan et al. , 2021), a powerful Lichtenberg optimization algorithm: a damage identification case study (Pereira et al.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective design optimization of reentrant auxetic model using Lichtenberg algorithm based on metamodel

Francisco,

Pereira,

Oliveira

et al. 2023

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PurposeThe present paper aims at the multi-objective optimization of a reentrant hexagonal cell auxetic structure. In addition, a parametric analysis will be carried out to verify how each of the design factors impact each of the responses.Design/methodology/approachThe multi-objective optimization of five different responses of an auxetic model was considered: mass, critical buckling load under compression effort, natural frequency, Poisson's ratio and failure load. The response surface methodology was applied, and a new meta-heuristic of optimization called the multi-objective Lichtenberg algorithm was applied to find the optimized configuration of the model. It was possible to increase the failure load by 26.75% in compression performance optimization. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, the failure load by 28.70% and reduce the mass and Poisson's ratio by 15.97 and 11%, respectively. This paper addresses something new in the scientific world to date when evaluating in a multi-objective optimization problem, the compression and modal performance of an auxetic reentrant model.FindingsIt was possible to find multi-objective optimized structures. It was possible to increase the critical buckling load by 42.82%, and the failure load in compression performance by 26.75%. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%, and decrease the mass by 15.97%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, increase the failure load by 28.70% and reduce the mass and Poisson's ratio by 15.97 and 11%, respectively.Originality/valueThere is no work in the literature to date that performed the optimization of 5 responses simultaneously of a reentrant hexagonal cell auxetic structure. This paper also presents an unprecedented statistical analysis in the literature that verifies how the design factors impact each of the responses.

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“…The meta-heuristic, also developed at GEMEC, has been successful in identifying cracks (Pereira et al [2020]) and delaminations (Pereira et al [2021]), isogrid tube optimization (Francisco et al [2020]; Pereira et al [2022a]), hydrogen production optimization (Souza et al [2022]), wind forecast optimization (Tian & Wang [2022]), parameter optimization in manufacturing processes (Challan et al [2022]; Mohanty et al [2022]), and multi-objective optimization (Pereira et al [2022]), among other applications. The LA algorithm in the mono-objective version has already been well explained in previous chapters.…”

Section: Lichtenberg and Multi-objective Lichtenberg Algorithmsmentioning

confidence: 99%

Sensor Placement Optimization of a Helicopter Main Rotor Blade

Pereira¹,

Francisco²,

Jorge³

et al. 2022

Uncertainty Modeling: Fundamental Concepts and Models

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This chapter describes the importance of one of the major areas within Structural HealthMonitoring and Health and Usage Monitoring Systems: Sensor Placement Optimization (SPO). In this sense, the most important SPO metrics are presented and discussed with the reader. The methodological procedure of the optimization problem statement is also considered and discussed. he significance of rotary-wing aircraft, damages that can occur in the blade, works related to damage identification, modern methods and algorithms that have been used in this context, and a comprehensive SPO study for a helicopter main rotor blade will be presented. Finally, a new technique that considers the number of sensors as an objective associated with some of the main metrics used in SPO. The technique uses the Multiobjective Lichtenberg Algorithm and Feature Selection, an important area used in Data Mining.

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Fabrication and mechanical characterization of red mud based Al2025-T6 MMC using Lichtenberg optimization algorithm and Whale optimization algorithm

Cited by 15 publications

References 15 publications

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Multi-objective design optimization of reentrant auxetic model using Lichtenberg algorithm based on metamodel

Sensor Placement Optimization of a Helicopter Main Rotor Blade

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