Dataset demonstrating effects of momentum transfer on sizing of current collector for lithium-ion batteries during laser cutting

Material properties of copper and aluminum required for the numerical simulation are presented. Electrodes used for the (paper) are depicted. This study describes the procedures of how penetration depth, width, and absorptivity are obtained from the simulation. In addition, a file format extracted from the simulation to visualize 3D distribution of temperature, velocity, and melt pool geometry is presented.


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Material properties of copper and aluminum required for the numerical simulation are presented. Electrodes used for the (paper) are depicted. This study describes the procedures of how penetration depth, width, and absorptivity are obtained from the simulation. In addition, a file format extracted from the simulation to visualize 3D distribution of temperature, velocity, and melt pool geometry is presented.
& 2018 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Subject area
Mechanical engineering, Manufacturing engineering, Applied physics, Computational Analysis More specific subject area Laser cutting, lithium-in battery manufacturing engineering Value of the data

Type of data
The summary of material properties can be easily accessed from the various applications since copper and aluminum are popular materials.
Researchers could be referred to this dataset to design, compare, analyze, and validate another theoretical model of laser cutting on current collectors.
Analyzing these data, one can compare and ensure the validity of experimental approaches and results.
The values of the performance parameters can be used to compare the simulation result of laser cutting of current collector for lithium-ion batteries

Data
The material properties for current collector materials such as copper and aluminum used for the mathematical model have been presented in Table 1 and Table 2 respectively. All of these material properties are extracted from the published literatures [2][3][4][5][6][7].
Along with this dataset, the simulation parameters are tabulated in Table 3. Fig. 1 and Fig. 2 show depth changes during laser cutting of copper and aluminum depending on elapsed time, respectively. Depth values are measured from the material surface (Z ¼0) to the tip of penetration hole, which is the minimum Z value of the liquid/vapor interface coordinate(Z¼min(ϕ L=V )) [1]. Fig. 3 and Fig. 4 show  [1]. Since, the proposed mathematical model [1] uses a symmetric coordinate, the attained kerf width values are doubled to fully represent the whole kerf width. Fig. 5 and Fig. 6 show absorptivity changes during laser cutting of copper and aluminum depending on elapsed time, respectively. Absorptivity is obtained as a ratio of an absorbed laser energy, after considering multiple reflections, to an irradiated laser energy.   Fig. 7 and Fig. 8 show melt pool flow and temperature and distribution of copper and aluminum, respectively. From the dataset, the temperature and velocity values in an evaporated region are set to invisible only for a visualization purpose. The dataset is extracted from the simulation at each time. Carefully chosen dataset at specific time are plotted in 3D view. An appropriate angle to fully visualize characteristics of the temperature and melt pool flow is carefully chosen.

Simulation design
Since this paper includes no experiments, the simulation design is presented. To demonstrate physical phenomena with full penetration, simulation design is referred to the [8]. Among available

Materials
Materials used for current collectors of anode and cathode are shown in Fig. 9 and Fig. 10, respectively. The thickness of copper and aluminum are 10 μm and 15 μm, respectively. To the sake of simplicity, the thickness of commercially available copper and aluminum foils is used.

Methods
Dataset of penetration hole depth, width, and absorptivity are saved from the simulation for each time step. After the dataset is obtained, graph plotted by MATLAB code. To make a 3D plot for each time, velocity, temperature, and level set data are save in the form of Tecplot format. The Tecplot format captured is shown in Fig. 11.

Acknowledgements
This effort was supported by the University of Michigan -Fraunhofer Alternative Energy Technologies for Transportation Program (AETT Program). The authors appreciate the support from our sponsors.

Transparency document. Supporting information
Supplementary data associated with this article can be found in the online version at http://dx.doi. org/10.1016/j.dib.2017.12.021.