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作 者:张小凡 ZHANG Xiaofan(Taiyuan University of Science and Technology,Taiyuan 030000)
机构地区:[1]太原科技大学,太原030000
出 处:《现代制造技术与装备》2024年第6期128-130,共3页Modern Manufacturing Technology and Equipment
摘 要:针对传统机械齿轮锻件制造工艺存在的生产效率低、能耗高、质量不稳定等问题,提出了基于智能制造技术的工艺优化方法。研究从工艺参数优化、工艺流程优化和质量控制优化3个方面入手,对齿轮锻造的关键工艺参数和生产过程进行建模、分析和优化,并采用实时监测、智能控制和数字孪生等技术,精准把控锻件质量。通过对比实验,优化后的制造工艺在锻件力学性能、精度水平、生产效率和能耗水平等方面均取得了显著提升,验证了智能制造技术在齿轮锻件制造中的可行性和有效性。This paper addresses the issues of low production eficiency,high energy consumption,and unstable quality in the manufacturing process of traditional mechanical gear forgings,and proposes a process optimization method based on intelligent manufacturing technology.In this paper,the key process parameters and production process of gear forging are modeled,analyzed and optimized from the three aspects of process parameter optimization,process flow optimization and quality control optimization,the accurate control of forging quality is realized through real-time monitoring,intelligent control,and digital twin technology.Through comparative experiments,the optimized manufacturing process has achieved significant improvements in the mechanical properties,accuracy level,production efficiency,and energy consumption level of forgings,verifying the feasibility and effectiveness of intelligent manufacturing technology in gear forging manufacturing.
分 类 号:TH132.41[机械工程—机械制造及自动化] TG316[金属学及工艺—金属压力加工]
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