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基于声波信号小波包变换的煤矸界面识别研究 被引量:13
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作者 马瑞 王增才 王保平 《煤矿机械》 北大核心 2010年第5期44-46,共3页
为探索放顶煤开采过程中煤矸放落程度的判定方法,采用小波包理论分析顶煤放落过程中的声波信号。放顶煤开采中随着矸石含量的增加,产生的声波信号也会有所不同,以此为出发点提出了基于声波频谱小波包变换的煤矸界面识别分析方法。通过... 为探索放顶煤开采过程中煤矸放落程度的判定方法,采用小波包理论分析顶煤放落过程中的声波信号。放顶煤开采中随着矸石含量的增加,产生的声波信号也会有所不同,以此为出发点提出了基于声波频谱小波包变换的煤矸界面识别分析方法。通过声波信号频谱的差异,可以确定煤矸放落的临界区域,从而为煤矸识别提供参考依据。 展开更多
关键词 煤矸识别 小波包 放顶煤开采 声波信号
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Analysis and Control of Surface Delamination Defects During Milling of Orthogonal Aramid Fiber‑Reinforced Composites Laminates 被引量:2
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作者 SHI Zhenyu DUAN Ningmin +1 位作者 LI Xin WANG Zhaohui 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第3期353-359,共7页
The aramid fiber-reinforced composites(AFRC)can increase the durability of corresponding applications such as aerospace,automobile and other large structural parts,due to the improvement in hardness,heat build-up,wear... The aramid fiber-reinforced composites(AFRC)can increase the durability of corresponding applications such as aerospace,automobile and other large structural parts,due to the improvement in hardness,heat build-up,wear properties and green environmental protection.However,because of its complex multiphase structure and unique heterogeneity and anisotropy,the poor compression fatigue resistance and the incident surface fibrillation are inevitable.To improve the assembly precision of AFRC,mechanical processing is necessary to meet the dimensional accuracy.This paper focuses on the influence of contour milling parameters on delamination defects during milling of AFRC laminates.A series of milling experiments are conducted and two different kinds of delamination defects including tearing delamination and uncut-off delamination are investigated.A computing method and model based on brittle fracture for the two different types of delamination are established.The results can be used for explaining the mechanism and regularity of delamination defects.The control strategy of delamination defects and evaluation method of finished surface integrity are further discussed.The results are meaningful to optimize cutting parameters,and provide a clear understanding of surface defects control. 展开更多
关键词 aramid fiber-reinforced composites(AFRC) milling process delamination defects surface control prediction model
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Machinability Investigation and Optimization of Process Parameters in Cryogenic Assisted Sustainable Turning of AISI‑L6 Tool Steel 被引量:1
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作者 JAMIL Muhammad HAQ Emran ul +3 位作者 KHAN Aqib Mashood GUPTA Munish Kumar LI Liang SONG Qinghua 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第3期403-415,共13页
The application of cutting fluid is significantly increased in the machining sector to improve productivity.However,the inherent characteristics of cutting fluids on ecology,environment,and society shift the interest ... The application of cutting fluid is significantly increased in the machining sector to improve productivity.However,the inherent characteristics of cutting fluids on ecology,environment,and society shift the interest of researchers to work on environmentally friendly cooling conditions such as cryogenic cooling.Here,the effect of cutting speed and feed rate on the machining performance of the AISI‑L6 tool steel is investigated under cryogenic cooling conditions.Then,the L9 Taguchi based grey relational analysis(GRA)is conducted to investigate the essential machining indices such as cutting energy,surface roughness,tool wear,and material removal rate(MRR).The results indicate that the cutting speed of 160 m/min and feed rate of 0.16 mm/r are the optimum parameters that significantly improves the machining performance of AISI‑L6 tool steel. 展开更多
关键词 sustainable manufacturing cryogenic machining hardened steel energy consumption tool lif
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