Enhancing High-Alloy Steel Cutting with Abrasive Water Injection Jet (AWIJ) Technology: An Approach Using the Response Surface Methodology (RSM)

被引:1
|
作者
Perec, Andrzej [1 ]
Kawecka, Elzbieta [1 ]
Pude, Frank [2 ,3 ]
机构
[1] Jacob Paradies Univ, Fac Technol, PL-66400 Gorzow Wielkopolski, Poland
[2] Swiss Fed Inst Technol, Inspire AG, CH-8005 Zurich, Switzerland
[3] Steinbeis Consulting Ctr High Pressure Waterjet Te, D-86497 Horgau, Germany
关键词
abrasive water injection jet; surface roughness; high-alloy steel; response surface method; modeling; NUMERICAL-ANALYSIS; OPTIMIZATION; PERFORMANCE; TOOL;
D O I
10.3390/ma17164020
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The common machining technologies for difficult-to-machine materials do not remarkably ensure acceptable efficiency and precision in bulk materials cutting. High-energy abrasive water injection jet (AWIJ) treatment can cut diverse materials, even multi-layer composites characterized by divergent properties, accurately cutting complex profiles and carrying them out in special circumstances, such as underwater locations or explosion hazard areas. This work reports research on the AWIJ machining quality performance of X22CrMoV12-1 high-alloy steel. The response surface method (RSM) was utilized in modeling. The most influencing process control parameters on cut kerf surface roughness-abrasive flow rate, pressure, and traverse speed-were tested. The result is a mathematical model of the process in the form of a three-variable polynomial. The key control parameter affecting the cut slot roughness turned out to be the traverse speed. In contrast, pressure has a less significant effect, and the abrasive mass flow rate has the slightest impact on the cut slot roughness. Under the optimal conditions determined as a result of the tests, the roughness of the intersection surface Sq does not exceed 2.3 mu m. Based on the ANOVA, we confirmed that the model fits over 96% appropriately with the research outcomes. This method reduces the computations and sharply determines the optimum set of control parameters.
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页数:11
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