doi:10.16186/j.cnki.1673-9787.2021100004

Received:2021-10-04

Revised:2021-11-16

Online Date: 2023-04-13

Experiment and prediction model on the cutting ability of slurry abrasive water jet（Online）

YUAN Ruifu1,2, CHEN Lifeng1, ZHANG Zhigang1, YAO Yuanhang1, WU Junjie1

1.School of Energy Science and Engineering，Henan Polytechnic University，Jiaozuo  454000，Henan，China;2.State Collaborative Innovation Center of Coal Work Safety and Clean-efficiency Utilization，Henan Polytechnic University，Jiaozuo  454000，Henan，China

Abstract:The cutting experiment of slurry abrasive water jet on concrete and rock materials was carried out by using slurry abrasive water jet method and cutting experimental equipment developed by the authors. The influence of cutting pressure， nozzle moving speed and material parameters on cutting ability was analyzed. It is considered that under the same condition，the slurry abrasive water jet has much more cutting ability than pure water jet，and the maximum cutting depth on concrete can reach the difference of magnitude，and the greater the material strength，the more obvious the cutting ability of slurry abrasive water jet is. The cutting ability of slurry abrasive water jet can effectively cut medium hard sandstone （such as cutting slot with 100 mm depth and 10 m length in 0. 5~1.0 h），and can be applied to the field engineering in coal mine such as cutting roof stratum to pressure relief，cutting roof stratum to retaining roadway，and gangue broken in working face. The longer the impact time of jet nozzle in the same position of cutting object，the more obvious the effect of“water cushion”，so the efficiency of multiple quick repeated cutting is higherthan that of single slow cutting in the same cutting time. Through the induction of cutting experiment results，the prediction model of cutting depth is obtained，which is based on cutting pressure，nozzle moving speedand uniaxial compressive strength of material. On the basis of the model，the cutting depth prediction modelfor repeated cutting with the number of cutting times as variable is obtained.

Key words:slurry abrasive water jet;cutting ability;repeated cutting;cutting depth;prediction model

CLC：TD315