遇见数据集

激光焊接工艺实验数据

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资源来源:采用 IPG 光纤激光器,对铝、铜等合金材料开展焊接试验。 背景:激光焊接是电池包制造关键工艺,需优化工艺参数以保障焊接质量和速度。 意义:为寻找最优焊接工艺参数提供数据支撑,提升焊接的质量。 产生方法:采用正交实验法,调节焊接功率、离焦量等参数,对样品进行焊接,焊接后采用显微镜观察质量,Matlab 分析参数与质量关系。 主要内容:焊接质量照片、激光飞行焊接工艺试验情况数据表格,分析算法代码。 体量:955MB。

Data Source: Welding experiments were conducted on alloy materials including aluminum and copper using an IPG fiber laser. Background: Laser welding is a critical process in battery pack manufacturing, where process parameters need to be optimized to ensure both welding quality and production speed. Significance: This dataset provides data support for identifying optimal welding process parameters, thereby improving welding quality. Generation Method: Orthogonal experimental design was adopted to adjust key parameters such as welding power and defocus amount for sample welding. Post-welding quality inspection was performed via a microscope, and Matlab was utilized to analyze the correlation between process parameters and welding quality. Main Content: Welding quality photographs, data tables of laser flying welding process test records, and codes for analysis algorithms. Dataset Size: 955 MB.

搜集汇总
数据集介绍
激光焊接工艺实验数据 数据集图片
背景与挑战
背景概述
该数据集来源于采用IPG光纤激光器对铝、铜等合金材料进行的焊接试验,旨在为电池包制造中的激光焊接工艺优化提供数据支撑。数据集通过正交实验法调节焊接功率、离焦量等参数,并利用显微镜和Matlab分析焊接质量,主要内容包括焊接质量照片、工艺试验数据表格及相关分析代码,总体数据量约为955MB。
以上内容由遇见数据集搜集并总结生成
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