Research on Kerf error of aluminum alloy 6061-T6 cut by abrasive water jet

Wang, Shu; Dong, Hu; Yang, Fengli; Lin, Peng

doi:10.1007/s00170-021-08056-5

Cited by 6 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High-pressure waterjets with dry ice admixtures CO 2 are mostly used for cleaning surfaces [ 17 ]. On the other hand, high-pressure waterjets with harder admixtures are used to cut and separate mainly flat titanium materials [ 18 , 19 , 20 ], heat-resistant steels [ 21 , 22 , 23 ], austenitic steels [ 24 , 25 , 26 , 27 , 28 ], aluminum alloys [ 29 , 30 , 31 , 32 , 33 ], copper alloys [ 34 , 35 ], plastics reinforced with different types of fibers [ 36 , 37 , 38 , 39 ] and glass or ceramics [ 40 , 41 , 42 ]. There are also reports of research into the use of high-pressure waterjets for cutting through rock materials.…”

Section: Introductionmentioning

confidence: 99%

Possibilities of Rock Processing with a High-Pressure Abrasive Waterjet with an Aspect Terms to Minimizing Energy Consumption

et al. 2023

View full text Add to dashboard Cite

The paper concerns the application a high-pressure abrasive waterjet (AWJ) for cutting the most commonly used rock materials such as granite, limestone, basalt and marble. Based on the analysis of the literature, the influence of parameters on the specific energy Ev, specific energy of cutting Er and specific energy of intersection Ea was determined. Experimental studies were carried out on a laboratory test stand in accordance with a five-level rotating experiment plan. The results of the research were subjected to statistical processing, obtaining regression equations. The influence of the pressure and diameter of the abrasive waterjet on the energy consumption of rock cutting was tested. The effect of the stream power, feed speed and pressure on the cutting depth with the AWJ was also determined. The data obtained made it possible to evaluate the machinability of the rocks as a function of the power of the jet. These analyses were supplemented with charts illustrating the influence of the most important technological parameter of the cutting process, which is the feed speed. The presented results provide answers to the energy and time requirements for efficient cutting with the AWJ of frequently used rock materials.

show abstract

Section: Introductionmentioning

confidence: 99%

Possibilities of Rock Processing with a High-Pressure Abrasive Waterjet with an Aspect Terms to Minimizing Energy Consumption

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Sisodia et al [4] studied the impact of jet-water pressure, nozzle traverse rate, and stand-off height on surface roughness and kerf taper properties of hardened AISI 440C stainless steel using RSM for experimental planning and process optimization. An experimental study by Wang et al [5] approached the influence of processing parameters (cutting speed, water pressure, abrasive flow rate, material thickness) on deviation error of the kerf profile. Du et al [6] have studied the internal mechanism of the AWJ cutting of DH-40 high-strength steel.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cut Quality for Awj Processing of a Steel Alloy

Chirita,

Herghelegiu,

Radu

et al. 2023

IJMMT

View full text Add to dashboard Cite

Abrasive water jet (AWJ) has gained an important place among the machining technologies due to its capacity to cut complex shapes in various materials without thermal effects and with low cutting forces, but it also has a reduced environmental impact. A key element for the quality of the cut is the amount of energy contained in the abrasive jet. The dissipaton of energy leads to kerf taper, high values of surface roughness, surface striations, the deviation of the water jet (jet drag), and even insufficient penetration. The current paper investigates the influence of process parameters on the quality of the cut for a S235 steel alloy. The quality of the cut was assessed by four parameters: entrance width of cut (Li), exit width of cut (Le), perpendicularity (u) and kerf angle (α). The experiments were organized according to a D-optimal Response Surface Method. Analysis of variance (ANOVA) was used for the development of a mathematical model that correlates the influence of process parameters on the quality of the cut. Finally, an optimization of the process parameters was proposed.

show abstract