中国机械工程2026，Vol.37Issue(4)：821-830,10.DOI:10.3969/j.issn.1004-132X.2026.04.006
小样本下基于比能值和ELM-AdaBoost的数控铣削能效优化模型构建方法
Optimization Model Construction Method of CNC Milling Energy Efficiency Based on Specific Energy Values and ELM-AdaBoost under Small Samples
摘要
Abstract
Aiming at the problems of high cost of energy efficiency data acquisition in CNC milling processes and low prediction accuracy of traditional CNC milling energy efficiency model under small sample data,an energy efficiency optimization model was proposed based on specific energy values and ex-treme learning machine(ELM)-adaptive enhancement algorithm(AdaBoost).The experimental data were obtained through orthogonal experimental design,a mechanism model was constructed based on specific en-ergy value,combined ELM and AdaBoost to form ELM-AdaBoost data model,and finally integrated the energy efficiency prediction model,which might guarantee the prediction accuracy while effectively reduce the model·s demands for data volume.The energy efficiency optimization models were established with the objectives of minimum specific energy value and minimum machining costs,and the optimal processing pa-rameters were solved and optimized by non-dominated sorting genetic algorithm Ⅱ and entropy weight-TOPSIS,and the machining experiments were conducted to verify the feasibility of the proposed method.关键词
数控铣削/比能值/能效优化/小样本学习Key words
CNC milling/specific energy value/energy efficiency optimization/small sample learning分类
信息技术与安全科学引用本文复制引用
鲍宏,杨硕,姚航,李亚鹏..小样本下基于比能值和ELM-AdaBoost的数控铣削能效优化模型构建方法[J].中国机械工程,2026,37(4):821-830,10.基金项目
国家重点研发计划(2020YFB1711604) （2020YFB1711604）
机械系统与振动国家重点实验室开放基金(MSV202114) （MSV202114）
合工大智能院科技成果培育专项(Y2023AC0008) （Y2023AC0008）
国家自然科学基金(51505119) （51505119）
