摘要
为了提高农机加工的现代化和数字化水平,降低设计成本、缩短设计周期、提高农机部件的加工质量,结合复杂零件CAD/CAPP/CAM集成系统,采用数字化虚拟仿真技术,提出了一种基于云计算平台的农机数字化车间集成技术,并提出了基于叶贝斯分类算法的云资源优化配置算法。该技术平台通过统一的零件模型信息源实现了零件几何信息和非几何信息的共享,改进了传统的CAD、CAPP、CAM系统的不足,简化了其数字化制造工作,大大提高了企业的生产效率。以农机部件的数字化加工虚拟仿真为例,对农机部件加工刀具轨迹进行了平台测试,结果表明:利用平台的云搜索功能可以有效地确定刀具走刀方式,生成刀具轨迹,对农机现代化加工水平的提高具有重要的意义。
In order to improve the modernization of agricultural processing and digital level, saving design cost, shorten the design cycle, improve the quality of agricultural machinery parts processing, combined with complex parts CAD /CAPP / CAM integrated system, using digital virtual simulation technology, presents a cloud based meter agricultural digital workshop integrated technology platform, and based on Bayesian classification algorithm of cloud resource alloca-tion optimization algorithm. The technology platform through a unified information source of parts model the geometry in-formation and non geometry information sharing, improved the shortage of the traditional CAD, CAPP and cam system, simplifying the digital manufacturing work, greatly improving the production efficiency of enterprises. Finally, machine parts, digital virtual simulation process, for example, of agricultural machinery parts machining tool path were test plat-form, test results show that using cloud platform search function can effectively tool to determine the tool path mode, effi-cient generation of tool path, to agricultural modernization level of processing have important reference significance.
出处
《农机化研究》
北大核心
2017年第10期218-222,共5页
Journal of Agricultural Mechanization Research
基金
山东省青年教师成长计划项目(2015-4)
关键词
农机部件
数字化车间
集成系统
云计算
叶贝斯分类
agricultural machinery parts
digital workshop
integrated system
cloud computing
ebers classification
