Application of multi-objective genetic algorithms to the mechatronic design of a four bar system with continuous and discrete variables

EL-Kribi, Badreddine; Houidi, Ajmi; Affi, Zouhaier; Romdhane, Lotfi

doi:10.1016/j.mechmachtheory.2012.11.002

Cited by 32 publications

(24 citation statements)

References 19 publications

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“…Indeed, this fluctuation is a source of overload and overheating in the motor and can generate the machine vibration. 3,20 From equation 13, we can write…”

Section: The Model Of the Mechatronic Systemmentioning

confidence: 99%

Multi-objective robust design optimization of a mechatronic system with uncertain parameters, using a polynomial chaos expansion method

Bilel

Nejlaoui

Affi

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article deals with the multi-objective robust design optimization of a mechatronic system used in sewing machines under uncertain design parameters. This mechatronic system is a needle bar and thread take-up lever mechanism driven by a direct current motor. The motor current and current fluctuation are minimized at the same time. The obtained results from a deterministic optimization showed a high sensitivity to design parameters. As an alternative, a robust multi-objective design optimization of the mechatronic system is conducted. For this goal, a multi-objective imperialist competitive algorithm combined with a polynomial chaos expansion method is investigated. Throughout a comparison with the deterministic results, we show that the robust performances of the mechatronic system are not sensible to design parameters’ uncertainties.

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“…Indeed, this fluctuation is a source of overload and overheating in the motor and can generate the machine vibration. 3,20 From equation 13, we can write…”

Section: The Model Of the Mechatronic Systemmentioning

confidence: 99%

Multi-objective robust design optimization of a mechatronic system with uncertain parameters, using a polynomial chaos expansion method

Bilel

Nejlaoui

Affi

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

show abstract

“…Indeed, this fluctuation is a source of overload and overheating in the motor. 12,13 From equation (14) we can write…”

Section: Formulation Of the Optimization Problemmentioning

confidence: 99%

“…Caracciolo and Richiedei 11 proposed a mechatronic design of ball-screw-driven servo-mechanisms in order to minimize the motor torque by using a straightforward graphical approach. Affi et al 12 and EL-Kribi et al 13 developed a multiobjective optimization of mechatronic systems. In these works, the mechanism and the driving motor were considered as one mechatronic system.…”

Section: Introductionmentioning

confidence: 99%

Mechatronic design optimization of the mechanism in a sewing machine

Bilel

Nejlaoui

Affi

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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This work deals with the multiobjective mechatronic design optimization of a sewing machine. The mechatronic model of the machine is developed based on the coupling of the needle bar and thread take-up lever mechanism dynamic and the DC motor models. Based on the mechatronic model, the consumed energy, the DC motor load, and the coupler tracking error are minimized, simultaneously. The multiobjective imperialist competitive algorithm is used to perform the mechatronic design optimization. The obtained results show that if the user allows a small tracking error, he can significantly reduce the motor load, the vibration, and the consumed energy of the sewing machine.

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“…It requires supporting tools and methodologies adapted throughout the design process [1][2][3][4]. We are interested here in problems of optimal design [5][6][7] of components and we propose an improvement to these tools and methodologies using constraint satisfaction techniques [6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Interval computation and constraint propagation for the optimal design of a compression spring for a linear vehicle suspension system

Trabelsi

Yvars

Louati

et al. 2015

Mechanism and Machine Theory

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Application of multi-objective genetic algorithms to the mechatronic design of a four bar system with continuous and discrete variables

Cited by 32 publications

References 19 publications

Multi-objective robust design optimization of a mechatronic system with uncertain parameters, using a polynomial chaos expansion method

Multi-objective robust design optimization of a mechatronic system with uncertain parameters, using a polynomial chaos expansion method

Mechatronic design optimization of the mechanism in a sewing machine

Interval computation and constraint propagation for the optimal design of a compression spring for a linear vehicle suspension system

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