摘要
在实际切削加工过程中材料去除率是不断变化的,现有将其视为恒量的能耗建模方法难以实现能耗准确预测。为了提高切削过程能耗预测精度,提出了一种基于材料去除率的数模联动加工能耗预测方法。首先,基于切削过程刀具与工件的接触关系分析了切入、完全切入和切出阶段材料去除率变化规律,并对相应的加工能耗特性进行了分析;其次,提出了数据驱动的刀具切入,切出阶段加工能耗预测方法,以及模型驱动的完全切入阶段加工能耗预测方法,实现加工过程能耗准确预测;最后,利用实验案例验证了所提模型及方法的有效性,为今后研究能耗预测精度奠定了基础。
The material removal rate is constantly changing during the actual machining process,and exist-ing modeling methods for energy consumption,which is regarded as a constant quantity,is difficult to accu-rately predict energy consumption.In order to improve the prediction accuracy of energy consumption in the cutting process,this paper proposes a digital and analog linkage machining energy consumption prediction method based on material removal rate.Firstly,based on the contact relationship between the cutting tool and the workpiece,the change law of material removal rate in the cutting,complete cutting and cutting out stages is analyzed,and the corresponding processing energy consumption characteristics are analyzed.Sec-ondly,a data-driven tool cut-in,cut-out stage machining energy consumption prediction method and model-driven machining energy consumption prediction method for the full cut-in stage are proposed to achieve accurate prediction of machining process energy consumption.Finally,experimental cases are used to verify the effectiveness of the proposed model and method,which lays a foundation for future research on the ac-curacy of energy consumption prediction.
作者
张华
马超
鄢威
朱硕
江志刚
ZHANG Hua;MA Chao;YAN Wei;ZHU Shuo;JIANG Zhigang(Academy of Green Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;School of Automatic and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430081,China)
出处
《组合机床与自动化加工技术》
北大核心
2024年第4期66-71,共6页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(51975432,52075396)
武汉科技大学“十四五”湖北省优势特色学科(群)项目(2023B0405)。
关键词
数模联动
材料去除率
多特征零件
加工能耗预测
data and model hybrid driven
material removal rate
multi-feature workpiece
processing energy consumption prediction
