A model for deformation in high energy rate micro forming process

Sondur, S. R.; Pawar, Shekhar; Salunke, S. A.; Salunke, Sagar; Patil, S. B.

doi:10.1007/s00170-014-6061-7

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…According to Figure 7, the ordinate and abscissa axes represent the input experimental values and the Gaussian membership function values for , c f g optimal parameters together with the inputs given in equation (6). Optimal parameters of Gaussian membership function of circular and rectangular plates are given in Table 4.…”

Section: Multi-objective Ga/svd-anfis Modelling Of Experimental Datamentioning

confidence: 99%

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Multi-objective optimum design of ANFIS for modelling and prediction of deformation of thin plates subjected to hydrodynamic impact loading

Jamali

Babaei

Nariman-Zadeh

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part L:

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Drop hammer impact experiments have been carried out to assess the dynamic plastic response of fully clamped circular and rectangular plates made of aluminum and steel subjected to hydrodynamic impact loading at various energy levels. Also, the effective parameters in forming process are proposed in non-dimensional forms for modeling and prediction of the central deflection of plates using adaptive neuro-fuzzy inference system in conjunction with genetic algorithm and singular value decomposition method. Genetic algorithm is used for optimal scheme of Gaussian membership function’s variables and multi-objective Pareto optimal design of adaptive neuro-fuzzy inference system model. Also, the singular value decomposition method is applied to compute the linear parameters of the adaptive neuro-fuzzy inference system method. The important conflicting objectives of developed adaptive neuro-fuzzy inference system, namely, training error and prediction error, are obtained by dividing date sets into two parts. Hence, various optimal choices of adaptive neuro-fuzzy inference system model are provided which are non-dominated states from each other. Moreover, optimal Pareto front of such model leads to trade-off between the conflicting pair of considered objectives for two series of experiments. The results of this work indicate that multi-objective Pareto optimal design of adaptive neuro-fuzzy inference system predicts central deflection of plates with a good accuracy. In addition, the comparison between the adaptive neuro-fuzzy inference system model and exiting one demonstrates superior performance of the present approach in simulating central deflection of plates.

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Section: Multi-objective Ga/svd-anfis Modelling Of Experimental Datamentioning

confidence: 99%

“…There are different forming processes, like gas detonation forming, 3 explosive forming, [4][5][6] electromagnetic forming, 7,8 electro-hydraulic forming, 9 and hydrodynamic impact forming. 10 However, these methods have defects and advantages but these processes are found to be attractive by the manufacturers.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimum design of ANFIS for modelling and prediction of deformation of thin plates subjected to hydrodynamic impact loading

Jamali

Babaei

Nariman-Zadeh

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part L:

View full text Add to dashboard Cite

show abstract

“…Therefore, the conventional forming methods are not suitable for economical high-throughput techniques. Electrohydraulic forming is an alternative especially for micro production out of sheet metal [6]. The impulse technology eliminates the fracture problem of high-aspect ratio punches and is rendering the setup more flexible to a varying geometry of die and sample.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty and Resolution of Speckle Photography on Micro Samples

et al. 2020

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The efficient development of new materials with defined properties requires fast methods of testing low volumes of material, such as a high-throughput investigation of spherical metallic micro samples with varying compositions and structuring treatments. A classical material testing method for macro samples, the tensile test cannot be employed for analyzing the mechanical properties of spherical samples with diameters below 1 mm since there are currently no methods for holding and stretching them. A combination between the incremental electrohydraulic extrusion as stress actuation unit and the speckle photography as strain measuring method is presented for obtaining the required mechanical characteristics. Positive longitudinal strain is generated at stepwise extrusion through < 1 mm wide forming channels using a liquid punch and the deformation is observed in situ after each forming step at the interface between the micro sample and a transparent window integrated into the forming die. The occurring local strain fields with a lateral extension down to 100 µm and high gradients require displacement measurements with high lateral resolution over a large range of local dislocations between 0.1 and > 10 µm. It is unknown, whether the speckle strain measuring method is able to provide the necessary low uncertainty for the required resolution in the whole measuring range. Therefore, theoretical and experimental investigations of the deformation measurability using the speckle correlation method are presented, showing that local displacements up to 10 µm can be measured with a spatial resolution between 3 and 10 µm depending on the displacement size. The dominant effect influencing the measurement uncertainty for displacements at this high spatial resolution is the speckle noise, resulting into measurement uncertainties of less than 100 nm. Hence, speckle photography is shown to be applicable for tensile test on micro samples.

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Effects of vibration amplitude and relative grain size on the rheological behavior of copper during ultrasonic-assisted microextrusion

Lou

Chen

et al. 2016

Int J Adv Manuf Technol

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A model for deformation in high energy rate micro forming process

Cited by 3 publications

References 5 publications

Multi-objective optimum design of ANFIS for modelling and prediction of deformation of thin plates subjected to hydrodynamic impact loading

Multi-objective optimum design of ANFIS for modelling and prediction of deformation of thin plates subjected to hydrodynamic impact loading

Uncertainty and Resolution of Speckle Photography on Micro Samples

Effects of vibration amplitude and relative grain size on the rheological behavior of copper during ultrasonic-assisted microextrusion

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