scholarly journals Effect of the AWJM Method on the Machined Surface Layer of AZ91D Magnesium Alloy and Simulation of Roughness Parameters Using Neural Networks

Materials ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2111 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Mariusz Kłonica ◽  
Monika Kulisz ◽  
Katarzyna Łoza
Keyword(s):  
Neural Networks ◽  
Surface Roughness ◽  
Magnesium Alloy ◽  
Flow Rate ◽  
Water Jet ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Workpiece Surface ◽  
Surface Roughness Parameters ◽  
Jet Impact

This paper investigates the effect of change of the abrasive flow rate and the jet feed on the effectiveness of machining of AZ91D casting magnesium alloy. The evaluation of the state of the workpiece surface was based on surface and area roughness parameters (2D and 3D), which provided data on: irregularities formed on the workpiece edge surface (water jet exit), the surface quality after cutting, the workpiece surface chamfering, microhardness of the machined surface, and of specimen cross-sections (along the water jet impact). The process was tested for two parameter settings: abrasive flow rate 50 at cutting speed vf = 5–140 mm/min, and abrasive flow rate 100% (0.5 kg/min) at vf = 5–180 mm/min. The results demonstrate a significant effect of the abrasive flow rate and the jet feed velocity on the quality of machined surface (surface roughness and irregularities). In addition, selected 2D surface roughness parameters were modelled using artificial neural networks (radial basis function and multi-layered perceptron). It has been shown that neural networks are a suitable tool for prediction of surface roughness parameters in abrasive water jet machining (AWJM).

On the Effect of the Cutting Speed of a Water Jet Abrasive Cutting Process on the Surface Morphology of the Low Carbon Steel S235

2018 ◽  
Vol 919 ◽  
pp. 92-100
Author(s):  
Peter Košťál ◽  
Jana Moravčíková ◽  
Daynier Rolando Delgado Sobrino ◽  
Radovan Holubek
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Low Carbon Steel ◽  
Water Jet ◽  
Cutting Process ◽  
Low Carbon ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Abrasive Particles ◽  
Surface Roughness Parameters

In order to increase the cutting and breaking capacity of abrasive water jet machining (AWJM), abrasive particles are usually added to water. The AWJM technology is generally used for harder and heavier machinable materials like thick sheets, composite materials with metal and ceramic properties and others within these categories to just cite a few. The contribution is mainly focused on the analysis of the surface properties of the steel S235 after the cutting process, and this depending on the cutting speed of the water jet. Three different cutting speeds were used for the analysis because this cutting parameter significantly affects the resulting quality of the machined surface. A contact profile method was used to analyze surface roughness. The observed surface roughness parameters were the Ra, Rt and Rz respectively. The above-mentioned surface roughness parameters were measured in three positions, i.e.: at the inlet, middle and exit positions of the water jet with respect to the machined material.

EVALUATION OF SURFACE ROUGHNESS PRODUCED BY NANOCUTTING COPPER STRUCTURE USING A LEAST SQUARE MEAN METHOD

2019 ◽  
Vol 27 (01) ◽  
pp. 1950081 ◽  
Author(s):  
CHUNHUI JI ◽  
SHUANGQIU SUN ◽  
BIN LIN ◽  
TIANYI SUI
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Least Square ◽  
Depth Of Cut ◽  
Real Surface ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Surface Roughness Parameters ◽  
3D Surface ◽  
3D Surface Roughness

This work performed molecular dynamic simulations to study the 2D profile and 3D surface topography in the nanometric cutting process. The least square mean method was used to model the evaluation criteria for the surface roughness at the nanometric scale. The result showed that the cutting speed was the most important factor influencing the spacing between the peaks, the sharpness of the peaks, and the randomness of the profile. The plastic deformation degree of the machined surface at the nanometric scale was significantly influenced by the cutting speed and depth of cut. The 2D and 3D surface roughness parameters exhibited a similar variation tendency, and the parameters Ra and Rq tended to increase gradually with an increase in the cutting speed and a decrease in the depth of cut. Finally, it is concluded that at the nanometric scale, the 3D surface roughness parameters could more accurately reflect the real surface characteristics than the 2D parameters.

Considerations Regarding Some Surface State Parameters Characterized by a more Restricted Use

2015 ◽  
Vol 809-810 ◽  
pp. 93-98
Author(s):  
Ionuţ Urzică ◽  
Ciprian Râznic ◽  
Mihai Apostol ◽  
Corina Mihaela Pavăl ◽  
Mihai Boca ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Roughness Parameter ◽  
Cutting Speed ◽  
Roughness Parameters ◽  
Turning Process ◽  
Nose Radius ◽  
Machined Surface ◽  
Surface Roughness Parameter ◽  
Surface Roughness Parameters ◽  
Restricted Use

Frequently, on the drawings of mechanical parts, only indications concerning the surface roughness parameter Ra and, relatively rarely, the surface roughness parameter Rz are included. However, the study of the machined surface roughness highlights the necessity to use yet other surface roughness parameters, in order to have a clearer image on the state of the machined surface. Some other surface roughness parameters possible to be used and presenting importance, without the parameters Ra and Rz, were highlighted. One took into consideration the possibility of measuring parameters Rsk and Rmr by means of the available surface roughness testers. Experimental researches of turning by applying the method of full factorial experiment were developed. As input factors in turning process, the cutting speed, the feed rate and the tool nose radius were used. The experimental results were mathematically processed, being determined empirical mathematical models that highlight the influence of certain input factors of turning process on the values of some surface roughness parameters characterized by a more restricted use

scholarly journals Influence of Steel Structure on Machinability by Abrasive Water Jet

Materials ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 4424 ◽  
Author(s):  
Irena M. Hlaváčová ◽  
Marek Sadílek ◽  
Petra Váňová ◽  
Štefan Szumilo ◽  
Martin Tyč
Keyword(s):  
Heat Treatment ◽  
Surface Roughness ◽  
Mechanical Characteristics ◽  
Water Jet ◽  
Abrasive Waterjet ◽  
Abrasive Water Jet ◽  
Roughness Parameters ◽  
Steel Microstructure ◽  
Surface Roughness Parameters ◽  
Awj Cutting

Although the abrasive waterjet (AWJ) has been widely used for steel cutting for decades and there are hundreds of research papers or even books dealing with this technology, relatively little is known about the relation between the steel microstructure and the AWJ cutting efficiency. The steel microstructure can be significantly affected by heat treatment. Three different steel grades, carbon steel C45, micro-alloyed steel 37MnSi5 and low-alloy steel 30CrV9, were subjected to four different types of heat treatment: normalization annealing, soft annealing, quenching and quenching followed by tempering. Then, they were cut by an abrasive water jet, while identical cutting parameters were applied. The relations between the mechanical characteristics of heat-treated steels and the surface roughness parameters Ra, Rz and RSm were studied. A comparison of changes in the surface roughness parameters and Young modulus variation led to the conclusion that the modulus was not significantly responsible for the surface roughness. The changes of RSm did not prove any correlation to either the mechanical characteristics or the visible microstructure dimensions. The homogeneity of the steel microstructure appeared to be the most important factor for the cutting quality; the higher the difference in the hardness of the structural components in the inhomogeneous microstructure was, the higher were the roughness values. A more complex measurement and critical evaluation of the declination angle measurement compared to the surface roughness measurement are planned in future research.

scholarly journals The Effect of Abrasive Waterjet Machining Parameters on the Condition of Al-Si Alloy

Materials ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3122 ◽  
Author(s):  
Monika Kulisz ◽  
Ireneusz Zagórski ◽  
Jarosław Korpysa
Keyword(s):  
Surface Roughness ◽  
Flow Rate ◽  
Surface Finish ◽  
Feed Rate ◽  
Abrasive Waterjet ◽  
Strengthening Effect ◽  
Machining Parameters ◽  
Roughness Parameters ◽  
Surface Roughness Parameters ◽  
Sample Height

This paper analyses the effect of the abrasive waterjet cutting parameters’ modification on the condition of the workpiece surface layer. The post-machined surface of casting aluminium alloys, AlSi10Mg and AlSi21CuNi, was characterised in terms of surface roughness and irregularities, chamfering, and microhardness in order to reveal the effect that variable jet feed rate, abrasive flow rate, and sample height (thickness of the cut material) have on the quality of surface finish. From the analysis of the results, it emerges that the surface roughness remains largely unaffected by changes in the sample height h or the abrasive flow rate ma, whereas it is highly susceptible to the increase in the jet feed rate vf. It has been shown that, in principle, the machining does not produce the strengthening effect, that is, an increase in microhardness. Owing to the irregularities that are typically found on the workpieces cut with higher jet feed rates vf, additional surface finish operations may prove necessary. In addition, chamfering was found to occur throughout the entire range of speeds vf. The statistical significance of individual variables on the 2D surface roughness parameters, Ra/Rz/RSm, was determined using factorial analysis of variance (ANOVA). The results were verified by means of artificial neural network (ANN) modelling (radial basis function and multi-layered perceptron), which was employed to predict the surface roughness parameters under consideration. The obtained correlation coefficients show that ANNs exhibit satisfying predictive capacity, and are thus a suitable tool for the prediction of surface roughness parameters in abrasive waterjet (AWJ) technology.

Surface Texture’s Role in Assessing Surface Integrity of Machined Parts

2010 ◽  
Vol 34-35 ◽  
pp. 1145-1148
Author(s):  
Quan Ren Zeng ◽  
Geng Liu ◽  
Lan Liu ◽  
Rui Ting Tong
Keyword(s):  
Surface Roughness ◽  
Surface Integrity ◽  
Surface Texture ◽  
Functional Performance ◽  
Fatigue Property ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Surface Roughness Parameters ◽  
Machined Parts

Surface texture, as one of the typical surface integrity characteristics, plays a vital part in efficiently and systematically evaluating the surface integrity and relevant mechanical properties of machined parts. Commonly used 2D surface roughness parameters are formularized and discussed in this paper. And 3D characterization technique is also illustrated through measuring and describing a machined surface with an optical profiling system. The relationship between surface texture and the fatigue property of final machined parts are discussed by employing the quantity of effective stress concentration factor which could be expressed by the standard surface roughness parameters and measured averaged root radius of surface texture’s valleys. This research emphasizes the indispensable role of the surface texture in evaluating surface integrity and corresponding functional performance of machined parts.

scholarly journals Roughness Parameters Calculation By Means Of On-Line Vibration Monitoring Emerging From AWJ Interaction With Material

2015 ◽  
Vol 22 (2) ◽  
pp. 315-326 ◽  
Author(s):  
Pavol Hreha ◽  
Agata Radvanska ◽  
Lucia Knapcikova ◽  
Grzegorz M. Królczyk ◽  
Stanisław Legutko ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Traverse Speed ◽  
Water Jet ◽  
Abrasive Water Jet ◽  
Roughness Parameters ◽  
Cutting Head ◽  
Surface Roughness Parameters ◽  
Water Jet Cutting ◽  
Abrasive Water Jet Cutting ◽  
On Line

Abstract The paper deals with a study of relations between the measured Ra, Rq, Rz surface roughness parameters, the traverse speed of cutting head v and the vibration parameters, PtP, RMS, vRa, generated during abrasive water jet cutting of the AISI 309 stainless steel. Equations for prediction of the surface roughness parameters were derived according to the vibration parameter and the traverse speed of cutting head. Accuracy of the equations is described according to the Euclidean distances. The results are suitable for an on-line control model simulating abrasive water jet cutting and machining using an accompanying physical phenomenon for the process control which eliminates intervention of the operator.

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