基于BILSTM网络和混沌麻雀搜索算法的磨削工艺参数优化数据集

基于BILSTM网络和混沌麻雀搜索算法的磨削工艺参数优化数据集来源于三磨海达机床2M5540D外圆磨床加工时的多种工艺参数数据和加工时用于测量工件位移变化的电涡流位移传感器采集数据。其中工件的位移偏移数据由NI-cRIO-9045控制器和NI-9215采集卡搭配使用实现数据的采集；同时工艺参数根据企业的实际生产情况进行设定，加工后的数据进行整齐编号排列，在充分冷却后由Hexagon Leitz PMM-C三坐标测量仪进行测量。数据量为140KB。

The dataset for grinding process parameter optimization based on BILSTM network and chaotic sparrow search algorithm is sourced from two parts: various process parameter data collected during the machining process of the 2M5540D cylindrical grinder manufactured by Sanmo Haida Machine Tool, and data on workpiece displacement changes measured by the eddy current displacement sensor during machining. Specifically, the workpiece displacement offset data is collected using a combined setup of NI-cRIO-9045 controller and NI-9215 acquisition card. Meanwhile, the machining process parameters are set according to the actual production conditions of the enterprise. The post-machining data is neatly numbered and arranged, then measured by the Hexagon Leitz PMM-C coordinate measuring machine after sufficient cooling. The total data size of this dataset is 140 KB.

搜集汇总

背景与挑战

背景概述

该数据集包含三磨海达机床2M5540D外圆磨床加工时的多种工艺参数数据和工件位移变化数据，数据量为140KB，格式为xlsx和docx。数据通过NI-cRIO-9045控制器和NI-9215采集卡采集，并由Hexagon Leitz PMM-C三坐标测量仪测量，适用于磨削工艺参数优化研究。