基于人工智能的机械齿轮锻件制造工艺研究  

Research on Manufacturing Process of Mechanical Gear Forgings Based on Artificial Intelligence

作　　者：李海成 王瑞卿 LI Haicheng;WANG Ruiqing(Guangyang Engineering Technology Co.,LTD,Jinan,271100)

机构地区：[1]光阳工程技术有限公司,山东省济南市271100

出　　处：《五金科技》2025年第1期68-71,共4页Hardware

摘　　要：为了提升机械齿轮锻件制造工艺的精度与效率,研究了传统工艺的技术瓶颈,并结合智能技术对工艺参数、锻造路径、热处理过程进行了优化。分析认为,智能技术应用显著提高了齿轮的尺寸精度、硬度均匀性和疲劳寿命,同时缩短了生产周期,降低了能耗。研究结果为机械制造业的智能化转型提供了新思路和参考依据。In order to improve the precision and efficiency of the mechanical gear forgings manufacturing process,the technical bottleneck of the traditional process is studied,and the process parameters,forging path and heat treatment process are optimized by combining with the intelligent technology.According to the analysis,the application of intelligent technology significantly improves the size accuracy,hardness uniformity and fatigue life of the gear,and shortens the production cycle and reduces the energy consumption.The research results provide new ideas and reference basis for the intelligent transformation of machinery manufacturing industry.

关 键 词：机械齿轮 锻件制造 工艺优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]