Design and optimization of an integrated multi-layer coil for decreasing the discharge energy in electromagnetic welding using numerical and experimental methods

Ayaz, Mohsen; Khandaei, Mehrdad; Vahidshad, Yaser

doi:10.1007/s40194-020-01010-1

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…The desire function technique used in this study combines two responses into a single composite desirability function, which in this instance may be expressed as follows:

D = \sqrt[2]{d 1 (electrical conductivity (x)) \times d 2 ({Young}^{'} s modulus (x))}

where D stands for the composite desired function, x is a vector of the designed variables (coded values), and d 1 and d 2 are the individual desirability functions for the first and second responses (electrical conductivity and Young's modulus), respectively. [ 31,38–42 ] When each of the two responses is maximum, d 1 and d 2 are 1, this implies that D = 1.…”

Section: Resultsmentioning

confidence: 99%

“…where D stands for the composite desired function, x is a vector of the designed variables (coded values), and d1 and d2 are the individual desirability functions for the first and second responses (electrical conductivity and Young's modulus), respectively. [31,[38][39][40][41][42] When each of the two responses is maximum, d1 and d2 are 1, this implies that D = 1.…”

Section: Optimization/desirability and Validationmentioning

confidence: 99%

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Response surface optimization and finite element homogenization study of the effective elastic modulus and electrical conductivity of MXene‐polypyrrole hybrid nanocomposite as electrode material for electronic energy storage devices

Ezika

Sadiku

Adekoya

et al. 2022

Polymer Engineering & Sci

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Electrical energy storage devices are crucial for energy storage and distribution purposes. MXene (MX), a 2D material, and conductive organic polymers, such as polypyrrole (PPy), have been widely used as electrode material in electronic energy storage devices. This work calculated the elastic modulus and the electrical conductivity of a MX/PPy nanocomposite electrode using a finite element model. Response Surface Methodology (RSM) was used to optimize the electrical conductivity and elastic modulus response variables based on the finite element (FE) simulation findings. By assigning appropriate weights to these response factors in the optimization technique, the impacts of mass fraction and aspect ratio (AR) of MX inclusion on the electrical conductivity values and elastic modulus of the electrode were analyzed. When compared to the experimental findings, the results demonstrated that the suggested finite element model could provide a satisfactory estimate of the electrical conductivity and elastic modulus of the electrodes made of MX and PPy. However, these response variables might be optimized by using the response surface approach. Therefore, when RSM was employed, both electrical conductivity and Youngs modulus could be adjusted to close to their respective maximum optimal values, with a predicted electrical conductivity of 474.33 S/m and an elastic modulus of 3.24 GPa, at 50% mass fraction of the MX and the AR of 0.2. Based on these results, if a MX/PPy nanocomposite electrode could be built to achieve this modulus and electrical conductivity, such electrode would be a viable material for metal-ion batteries.

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“…The desire function technique used in this study combines two responses into a single composite desirability function, which in this instance may be expressed as follows:

D = \sqrt[2]{d 1 (electrical conductivity (x)) \times d 2 ({Young}^{'} s modulus (x))}

Section: Resultsmentioning

confidence: 99%

Section: Optimization/desirability and Validationmentioning

confidence: 99%

Response surface optimization and finite element homogenization study of the effective elastic modulus and electrical conductivity of MXene‐polypyrrole hybrid nanocomposite as electrode material for electronic energy storage devices

Ezika

Sadiku

Adekoya

et al. 2022

Polymer Engineering & Sci

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show abstract

“…All the responses can be classified into three categories in terms of their objectives, they are the larger the better, the smaller the better, and the objective to a specific value. The individual desirability function of each geometric feature can be obtained based on the following equations [19]. As for the response belonging to the larger the better, the expression of the individual desirability function is shown as follows, min min min max max min max 0 ( )…”

Section: Simultaneous Improvements Of the Responses And Verification Testmentioning

confidence: 99%

Modeling and optimization of weld bead profile with varied welding stages for weathering steel A606

Zhao

Bezgans

Vdonin

et al. 2021

Int J Adv Manuf Technol

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The profile of the welding bead changes with the welding process parameters during the gas metal arc welding (GMAW) process, the reinforcement disappears and the penetration becomes sunken when the excessive welding heat input is applied. However, little research work is specially planned to cope with the studying of welding bead at these stages. A systematic studying of the relationships among the welding process variables and welding bead geometric features and optimization of the welding quality is presented. The influences of the welding technological parameters (voltage, welding speed, and wire feed speed) on the welding geometry were revealed and the models correlating them were established. The features of the weld bead geometry were composed of top reinforcement width, top reinforcement height, penetration depth, bottom reinforcement width, and bottom reinforcement height. By the desirability function approach, the recommendation of suitable welding parameters to meet the contradicting demands of multiple bead geometric features is fulfilled. The microstructure in different welding regions and mechanical performances of the welding joints produced by the verification test were also studied.

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“…The impact of EMW parameters on the microstructure and mechanical characteristics of EMW joints, such as Al-Cu [3][4][5][6][7], Aluminum-Steel [7], and Copper-Steel [8,9], have been the subject of several investigations. Studies on the EMW of titanium to other metals are scarce, nevertheless.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on microstructure, hardness and corrosion resistance of an electromagnetic welded titanium-stainless steel dissimilar materials

Chebolu,

Kakarla,

Nallu

et al. 2024

Eng. Res. Express

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The electromagnetic welding (EMW), often known as magnetic pulse welding, is a solid-state welding technology that is used to join two different materials using high-velocity impact. In this study an attempt was made to join the Titanium(Ti)- Stainless Steel(SS 304)materials with the help of multi turn disc coil along with the field shaper. A comparative investigation was conducted on the joint's microstructure, as well as its mechanical and corrosion properties. Inverted optical microscopy (OM) and X-ray diffraction (XRD) were used to do the microstructural characterization of the joint. The micro-Vickers hardness test was used to analyse the material's mechanical properties. In addition, electrochemical experiments were run on the Ti-SS 304 EMW junction as well as the component materials to establish how resistant they were to corrosion. Using an electrochemical impedance analyzer, the levels of corrosion that were caused by the structures were measured while they were submerged in a solution of nitric acid at room temperature. The microstructural pictures revealed a wave-like pattern at the material's interface, which is evidence of strong adhesion between the components. The micro vickers hardness of the joints was within the permitted range, as was the corrosion rate

show abstract

Design and optimization of an integrated multi-layer coil for decreasing the discharge energy in electromagnetic welding using numerical and experimental methods

Cited by 9 publications

References 26 publications

Response surface optimization and finite element homogenization study of the effective elastic modulus and electrical conductivity of MXene‐polypyrrole hybrid nanocomposite as electrode material for electronic energy storage devices

Response surface optimization and finite element homogenization study of the effective elastic modulus and electrical conductivity of MXene‐polypyrrole hybrid nanocomposite as electrode material for electronic energy storage devices

Modeling and optimization of weld bead profile with varied welding stages for weathering steel A606

Experimental investigation on microstructure, hardness and corrosion resistance of an electromagnetic welded titanium-stainless steel dissimilar materials

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