摘要
随着新一代人工智能和信息通信技术的快速发展,传统制造业正在向着智能制造转变.数字孪生技术是实现智能制造的关键技术,能够有效解决在制造业转型中信息传递难这一问题.基于数字孪生技术开发的龙门铣虚拟仿真监控系统,在传统虚拟仿真监控系统的基础上实现了对龙门铣加工过程的三维运动仿真,并引入可视化图表,显示龙门铣各轴的运动速度.使用SolidWorks软件按照1∶1的比例对龙门铣进行三维建模;将创建的模型导入到3Ds MAX中为模型添加材质,对模型进行格式转换;之后将模型导入到Unity中,在Unity中搭建加工车间场景;通过编写的脚本完成对龙门铣加工过程的运动仿真,并且使用基于UGUI的Xcharts插件进行可视化图表的绘制.结果表明,本系统能够对龙门铣加工过程中各轴的运动状态进行模拟,并且能通过可视化图表展示龙门铣各轴的实时速度,可以为同类系统的开发提供一定的技术支持和参考.
With the rapid development of a new generation of artificial intelligence technology and information and communication technology,the traditional manufacturing industry has started to transform into technology-based intelligent manufacturing.Digital twin technology is a key technology to realize intelligent manufacturing,which can effectively solve the problem of difficult information transmission in the transformation of manufacturing industry.Developed a virtual simulation monitoring system for gantry milling machine tool machining process based on digital twin technology.Based on the traditional virtual simulation monitoring system,the motion simulation of gantry milling machine in the process of machining is realized,and the visual chart is introduced to show the motion speed of each axis of gantry milling machine.The three-dimensional modeling of machine tool is carried out by using SolidWorks software according to the ratio of 1∶1.Import the created model into 3Ds MAX,add materials to the model and convert the format of the model.Then import the model into Unity,and set up a workshop scenario in Unity.The virtual simulation of the whole machining process of machine tool is completed through the script.The script was written to complete the virtual simulation of the whole machining process of gantry milling machine,and the Xcharts plug-in based on UGUI was used to draw the visual chart.The results show that the system can simulate the motion of each axis in the gantry milling process,and display the real-time speed of each axis of the gantry milling through visual charts,which can provide certain technical support and reference for the development of similar systems.
作者
张剑飞
张铁良
姜永增
ZHANG Jianfei;ZHANG Tieliang;JIANG Yongzeng(School of Computer and Control Engineering,Qiqihar University,Qiqihar 161006,China;Heilongjiang Province Collaborative Innovation Center for Intelligent Manufacturing Equipment Industrialization,Qiqihar 161006,China)
出处
《高师理科学刊》
2022年第11期41-46,56,共7页
Journal of Science of Teachers'College and University
基金
黑龙江省省属高校基本科研业务费科研项目(135509402)。