Study On The Experiment Of Carbon Fiber Composite Materials With High-pressure AWJ Cutting

High-pressure abrasive water jet technology is a new way of special machining,it has strong process adaptability and high cutting efficiency, but no pollution andresidual stress. Its application has already begun in many industries. The scope ofabrasive water jet machining is quickly expanded at the present. The structure,performance and cutting mechanism of various materials are quite different. Becauseof the processing mechanism of many materials research is not perfect, so theapplication of abrasive water jet machining restricted.According to the theories of abrasive water jet and kinetic, the mixingmechanism of after mixed abrasive water jet and the movement of abrasive particleacceleration in the water jet have been discussed in this paper. Combining theexperimental phenomena of cutting carbon fiber composite material withhigh-pressure abrasive water jet, we proposed a discussion about the mechanism ofcutting carbon fiber composite material with high-pressure abrasive water jet and thereason of material delamination.Furthermore, through the single factor test, we studied the influence of somefactors such as jet pressure, feed rate, target distance and abrasive flow on theabrasive water jet cutting depth of carbon fiber composites and gave some reasonableexplanation about the abrasive water jet cutting depth of carbon fiber compositesvary with the factors.In this paper, we regarded the abrasive water jet cutting depth and efficiency ofcarbon fiber composites as process indicators to optimize the process parameters.The results showed that the significant levels of each factor on the two processindicators are exactly the same. Among the factors, feed rate and target distanceaffect the two process indications more significantly, the others affect them less. However, the cutting depth is reducing and the cutting efficiency is increasing, whilethe feed rate increasing.We established the cutting depth and cutting efficiency experience processmodel according to the orthogonal experimental data. The models have passed thetests and they proved to be able to predict the cutting depth and cutting efficiencyunder different processing conditions. The models can be used to guide the actualprocessing.