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Discrete element method study of parameter optimization and particle mixing behaviour in a soil mixer 被引量:2
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作者 Ming Bao Jiming Lin +1 位作者 Feng Zhang Jianhong Yang 《Particuology》 SCIE EI CAS CSCD 2023年第10期1-14,共14页
Soil mixing is an emerging research in the field of construction resource recovery.In this study,the mixing behaviour of soil particles in a mixer is numerically simulated by the discrete element method(DEM).A four-fa... Soil mixing is an emerging research in the field of construction resource recovery.In this study,the mixing behaviour of soil particles in a mixer is numerically simulated by the discrete element method(DEM).A four-factor,three-level orthogonal experiment is designed to optimize the mixer design by selecting the fly-cutter speed,spindle speed,number of blades and fly-cutter diameter,using Lacey mixing index and power consumption as evaluation indicators.Then,the impact of soil cohesion and type on the mixing behaviour is investigated.The results show that the optimal parameter combination of this experiment is 280 rpm fly-cutter speed,40 rpm spindle speed,4 blades and 250 mm fly-cutter diameter.This optimal combination reaches a comparatively uniform state mix in 5.9 s with an average power consumption of 704.11 W.In addition,the wear and tear of the mixer increases as soil cohesion increases,while the mixing quality of materials declines,resulting in a“shaft hugging”phenomenon.The mixing efficiency varies greatly among different soil types,but the radial and tangential velocities have a similar law.This work can provide some guidance for the optimization design of a mixer and study of soil mixing. 展开更多
关键词 Soil mixing Discrete element method Orthogonal experiment laceymixing index Soil cohesion
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