摘要
数控加工技术通过先进的数控技术实现对农机加工过程的精确控制,为农业现代化和智能化提供支持,是提高农业生产效率和产品质量的重要技术支撑。该文基于深度学习技术,对农机数控加工模块加工参数进行优化设计,采用数控加工材料去除率和提升率作为评价指标,系统地验证了模块化优化设计方案的有效性。试验结果显示,通过深度学习技术优化的加工参数在提高材料去除率的同时,显著提升了生产效率,为农机零部件制造过程带来了明显技术提升。研究结果不仅为农业现代化提供了技术支持,同时也可以为数控加工技术在农机制造领域的进一步推广和应用提供有益经验。
CNC machining technology provides key support for the modernization and intelligence of agriculture by realizing the precise control of the processing of agricultural machinery through advanced CNC technology,which is an important technical support for improving the efficiency of agricultural production and product quality.In this paper,based on deep learning technology,the processing parameters of agricultural machinery CNC machining module are optimized and designed,and the material removal rate and enhancement rate of CNC machining are used as evaluation indexes to systematically verify the effectiveness of the modular optimization design scheme.The experimental results show that the machining parameters optimized by deep learning technology significantly improve the production efficiency while improving the material removal rate,which brings obvious technological enhancement to the manufacturing process of agricultural machine parts.The research results not only provide technical support for the modernization of agriculture,but also can provide useful experience for the further promotion and application of CNC machining technology in the field of agricultural machinery manufacturing.
作者
苏齐
SU Qi(Henan Industry and Trade Vocational College,Zhengzhou 451150,China)
出处
《农机使用与维修》
2024年第5期79-81,共3页
Agricultural Machinery Using & Maintenance
关键词
数控加工技术
深度学习
农机制造
生产效率
试验研究
CNC machining technology
deep learning
agricultural machinery manufacturing
productivity
experimental study
