The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)

Bilgiç, Hasan Hüseyin; Çakır, Mustafa; Güvenç, Mehmet Ali

doi:10.1007/s40430-022-03798-z

Cited by 7 publications

(3 citation statements)

References 41 publications

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“…The amalgamation of AHP and TOPSIS offers a holistic framework for decision-making, enabling effective parameter optimization and the realization of the desired surface roughness in thermoplastic materials (Roy et al, 2020). In fact, metaheuristic-based ANFIS applications have been implemented to accurately predict surface roughness, as demonstrated by Guvenc et al (2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

DER,

ORDU,

BAŞAR

2024

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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This paper presents a comprehensive study on the multi-objective optimization of cutting parameters for Polyethylene (PE) thermoplastic material utilizing a CO2 laser. Recognizing the pivotal role of precise and efficient cutting in various sectors, from packaging to biomedical engineering, we integrate two potent analytical methodologies - Data Envelopment Analysis (DEA) and Step-Wise Weight Assessment Ratio Analysis (SWARA)-based Comprehensive Criteria Score Optimization (CoCoSo) approach. The cutting parameters chosen for the study were material thickness, power, and cutting speed. The experiments were conducted according to the Taguchi L18 orthogonal array. Measurements of surface roughness and kerf width were performed to examine the cutting quality. Additionally, another response variable, material removal rate, was calculated. By integrating Data Envelopment Analysis and SWARA-Based CoCoSo approach, the experimental condition that yielded the lowest surface roughness, kerf width, and the highest material removal rate was determined. The optimum experimental condition was found to be 4 mm material thickness, 80 W laser power, and 15 mm/s cutting speed. This work, therefore, paves the way for the innovative application of these combined methodologies in enhancing the production processes of PE and other thermoplastic materials, with clear implications for cost-effectiveness and sustainability in the manufacturing sector.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

DER,

ORDU,

BAŞAR

2024

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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“…There are various variations, such as particle swarm optimization, ant colony optimization, Artificial Bee Colony optimization, bat algorithm optimization, etc. [25][26]. The Artificial Bee Colony search algorithm used in this article was first introduced by Karaboğa in 2005 by making an analogy with honey bees based on their foraging instincts [27].…”

Section: Artificial Bee Colony Algorithmmentioning

confidence: 99%

Metaheuristic algorithm-based cascade PID controller design for fixed wing unmanned aerial vehicle

DURMAZ,

CİCİ,

SARIKAYA

et al. 2023

European Mechanical Science

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In this study, the nonlinear model of the longitudinal motion and altitude of a fixed-wing unmanned aerial vehicle with assured geometrical features and aerodynamic parameters is linearized under certain conditions. A cascade Proportional Integral Differential Controller is designed on the linear model. The controller coefficients that applied to the model of the UAV were optimized with an artificial intelligence technique, which is based on a metaheuristic search algorithm. The four different controller gains in the system are optimized using four different objective functions. Controller performances were tested in simulation environment for unit step input responses., Considering the longitudinal dynamics of the aircraft, among the ITAE, ISE, MSE, and IAE fitness functions, IAE can be shown as the optimum result for altitude control.

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“…L9 Orthogonal Array is used when the orthogonal array is equal to or greater than the DOF. Table 5 shows the Taguchi's L9 Orthogonal Array [37] used for this investigation.…”

Section: Surface Profilingmentioning

confidence: 99%

A study on the effect of various process parameters on low pulsed energy of laser shock peening without ablative layer on the mechanical behavior of AA 7075 T651

Premnath

Murugananthan

Abeens

2022

Surf. Topogr.: Metrol. Prop.

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Laser shock peening is a well-known surface treatment process that dominates other modern surface treatment processes. Though several materials are investigated toenhance mechanical properties by LSP treatment, only a scarce number of studies have concentrated on Low Pulsed Laser Shock Peening (LPLSP) without an ablative layeron Aluminum Alloy 7075 T651 material. Thus this article investigates the optimization and effect of LPLSP on the mechanical behavior of AA 7075 T651. Grey Relational Analysis is chosen to optimize the Process Parameters on Low Pulsed Energy of LSP. The significant contributions of the optimized parameters on the mechanical behavior such as hardness, compressive residual stress, roughness and friction wear property are investigated. A drastic improvementof three times in the average hardness value occurred in LPLSP over the un-peened specimen. A maximum compressive residual stress is observed with the LPLSP specimen for the optimized parameters. An improvement of 65 % in the minimum wear rate was recorded in LPLSP compared to unpeened specimens. The microstructural studies carried outusing an optical microscope and scanning electron microscope show a typical grain refinement and increase in the boundary for LPLSP specimen.

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The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)

Cited by 7 publications

References 41 publications

Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

Metaheuristic algorithm-based cascade PID controller design for fixed wing unmanned aerial vehicle

A study on the effect of various process parameters on low pulsed energy of laser shock peening without ablative layer on the mechanical behavior of AA 7075 T651

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