Surface integrity studies on abrasive water jet cutting of AISI D2 steel

2016 ◽  
Vol 32 (2) ◽  
pp. 162-170 ◽  
Author(s):  
N. Yuvaraj ◽  
M. Pradeep Kumar
Author(s):  
Yuvaraj N. ◽  
Pradeep Kumar M.

The chapter reports on the investigation of cryogenic-assisted abrasive water jet (CAAWJ) machining of AISI D2 steel with varying the jet impact angles and abrasive mesh sizes. The performance measurement is considered in this study such as depth of penetration and taper ratio. Also, the surface integrity characteristics are considered in the present study such as abrasive contamination, surface topography, XRD peaks, residual stress, and micro hardness. The CAAWJ machining process improves the performance measurement such as higher depth of penetration and lower taper ratio for the machining of D2 steel. Also, the CAAWJ cut surface consists of better surface integrity features over the AWJ cut surface. The phase transformation effect of target material under cryogenic cooling helps to turn the mode of the material removal mechanism from ductile to brittle erosion process and yield a better performance. The results also indicate that the oblique jet impact angles have been produced better performance characteristics than the jet impact angle of 90o at room temperature.


2014 ◽  
Vol 513-517 ◽  
pp. 218-222
Author(s):  
Zheng Long Zou ◽  
Xiong Duan ◽  
Chu Wen Guo

Combining with the electron microscope analysis of the morphology of incision, the mechanism of abrasive water jet cutting metal materials was carried out to explore, for the rational selection of abrasive jet cutting parameters, to extend its application to provide the basis. Study shows that the abrasive water jet cutting metal materials, the material damage mechanism is mainly to yield deformation and failure and shear of grinding damage, grooving formation is mainly caused by falling impact deformation and furrows grinding.


2014 ◽  
Vol 1029 ◽  
pp. 176-181 ◽  
Author(s):  
Ion Aurel Perianu ◽  
Ion Mitelea ◽  
Viorel Aurel Şerban

In this paper research elements regarding the effect of water pressure variation on cut surfaces quality are presented in the field of abrasive water jet cutting of materials hard to process by machining such as austenitic stainless steels, in this case with a thickness of 20 mm. Selection of the optimal cutting process based on technical and economic criteria takes into consideration the type and thickness of the targeted material and also the physical and geometrical quality requirements. The present paper contains experimental research results regarding abrasive water jet cutting of austenitic stainless steel EN 1.4306 (ASTM 304 L) at different values of water pressure. The abrasive material used is Garnet with particle granulation 80 Mesh. By making roughness measurements and hardness examinations of the cut surface an evaluation will be made of the surface quality defining the optimal pressure values.


2018 ◽  
Vol 22 (Suppl. 5) ◽  
pp. 1459-1470 ◽  
Author(s):  
Predrag Jankovic ◽  
Milos Madic ◽  
Dusan Petkovic ◽  
Miroslav Radovanovic

The problem of cutting difficult-to-machine materials used in the aerospace industry, aircraft industry, and automobile industry, led to the development and application one of today?s most attractive technology for contour cutting - abrasive water jet cutting. For the efficient use of abrasive water jet cutting, it is of great importance to analyze the impact of process parameters on performance indicators, such as cutting quality, productivity, and costs. But also, from the energy utilization point of view, it is very important to analyze the impact of these parameters on the specific cutting energy which represents the amount of energy spent on the removal of material in the unit time. Having this in mind, this study presents the experimental results of abrasive water jet cutting of aluminum alloy with the aim of creating a mathematical model for estimating specific cutting energy as an important indicator of the degree of utilization of the available energy in the cutting process. The mathematical model of the specific cutting energy is explicitly represented as a non-linear function of the process parameters, obtained by the artificial neural network.


Sign in / Sign up

Export Citation Format

Share Document