A Study of Material Removal Process in Abrasive Waterjet

An experimental investigation of the material removal process in abrasive waterjet (AWJ) milling is presented. The experiment was conducted on an amorphous glass for milling channels of controlled depth. It is found that the channels are formed through four different zones, i.e. an opening zone, a steady-cutting zone, a unsteady-cutting zone and a finishing zone.

GENETICALLY EVOLVED ARTIFICIAL NEURAL NETWORKS

model for predicting the depth of cut was based on Finnie™s theory of erosion with a single abrasive particle [3-4]. An analytical model developed for predicting the depth of cut based on the concepts of micro cutting, inter granular fracture at shallow angles and near orthogonal angles of impact [6].

A Study of Material Removal Process in Abrasive Waterjet

An experimental investigation of the material removal process in abrasive waterjet (AWJ) milling is presented. The experiment was conducted on an amorphous glass for milling channels of controlled depth. It is found that the channels are formed through four different zones, i.e. an opening zone, a steady-cutting zone, a unsteady-cutting zone and a finishing zone.

Modeling and analysis of depth of cut in abrasive waterjet

An analytical model for predicting depth of cut

An analytical model for predicting depth of cut in abrasive waterjet cutting of ductile materials considering the deflection of jet in lateral direction January 2009 International Journal of

Cutting Force Prediction Model for Elliptical Vibration

EVC cutting AMCM can effectively reduce cutting force and improve surface processing quality. Based on the proposed new cutting force prediction model, when the cutting speed is greater than 650 m/min, the cutting force is reduced by 22%, and the TPF stress distribution at the TCI is significantly reduced.

Article: Depth of cut prediction in abrasive waterjet

Jan 14, 2021· However, the prediction of depth of cut (DOC) is difficult due to the interaction of several process parameters. In this paper, a new finite element (FE) model was developed to predict the DOC in radial-mode AWJT. The workpiece material is AISI 4340 alloy steel and it is modelled with Johnson-Cook (JC) constitutive model.

New model for the prediction of the machining depth

New model for the prediction of the machining depth during milling of 3D woven composite using abrasive waterjet process X. Sourda,c, R. Zitounea,⁎, L. Crouzeixa, M. Salemb, M. Charlasc a Institut Clément Ader, CNRS, UMR 5312, 3 Rue Caroline Aigle 31400, Toulouse, France b Institut Clément Ader, CNRS, UMR 5312, Campus Jarlard 81013, Albi, France c Safran Aircraft Engines, Villaroche, Rond

Modeling and analysis of depth of cut in abrasive waterjet

Oct 01, 2021· [16] Wang J. (2009), "A new model for the prediction depth of cut in abrasive waterjet contouring of alumina ceramics", Journal of material processing technology, 209: pp 2314-2320. [17] M.Chithirai Pon Selvan, Dr. N. Mohana Sundara Raju.

RECENT ADVANCES IN ABRASIVE WATERJET MACHINING

the traverse rate will result in reduced depth of cut, see Figure. 8. However, volume removal rates may increase with increasing the traverse rate. Figure 9 shows a diagrammatic Figure. 4 Effect of abrasive flow rate on depth of cut [34] Figure. 5 Effect of pressure on depth of cut [34] Figure. 6 Effect of stand off distance on Figure.

A Review on Effect & Optimization of Abrasive Water Jet

developing new materials and for each new material, we need SR, KW of Inconel 188 an empirical model for the prediction of MRR, SR, KW of in AWJM. The process of Inconel 188 is developed using regression analysis depth of cut in abrasive waterjet cutting of cast iron. It was

"A mathematical model for the prediction of depth of cut

The objective of this study is to develop a practical mathematical model for prediction of the depth of cut in the course of Abrasive Water Jet (AWJ) machining. Semi-empirical method which is an integration of theoretical derivation and statistical analysis is used for process description. A theoretical model was constructed based on kinetic energy conservation equation, physical

Prediction of Surface Roughness of an Abrasive Water Jet

The study's primary purpose was to explore the abrasive water jet (AWJ) cut machinability of stainless steel X5CrNi18-10 (1.4301). The study analyzed the effects of such process parameters as the traverse speed (TS), the depth of cut (DC), and

Effects of Process Parameters on Depth of Cut in Abrasive

[16] Wang J. "A new model for the prediction depth of cut in abra- sive waterjet contouring of alumina ceramics". Journal of ma- terial processing technology, 209: pp 2314-2320, 2009. [17] M.Chithirai Pon Selvan, Dr. N. Mohana Sundara Raju. "An Experimental investigation on depth of cut in abrasive waterjet cutting of aluminium".

A new model for predicting the depth of cut in abrasive

An empirical model for the prediction of depth of cut in abrasive water jet cutting of stainless steel using regression analysis has been developed by Selvan and Raju (2011) 9 .

Assessment of Process Parameters in Abrasive Waterjet

prediction of depth of cut in abrasive waterjet cutting of granite is checked and replaced with a new one whenever the nozzle was worn out significantly. The abrasive waterjet cutting head is shown in fig.2. Mathematical model for the depth of cut is empirically

5ASSESSMENT OF PROCESS PARAMETERS IN ABRASIVE

order to correctly select the process parameters, an empirical model for the prediction of depth of cut in abrasive waterjet cutting of stainless steel is developed using regression analysis. This developed model has been verified with the experimental results that reveal a high applicability of the model within the experimental range used

Prediction model of depth of penetration for alumina

A new model for predicting the depth of cut in abrasive waterjet contouring of alumina ceramics Wang, J High energy fluid jet machining (HEFJet-Mach): from scientific and technological advances to niche industrial applications

Article: Depth of cut prediction in abrasive waterjet

Jan 14, 2021· However, the prediction of depth of cut (DOC) is difficult due to the interaction of several process parameters. In this paper, a new finite element (FE) model was developed to predict the DOC in radial-mode AWJT. The workpiece material is AISI 4340 alloy steel and it is modelled with Johnson-Cook (JC) constitutive model.

Determination of rotary cutting depth on steel pipes with

Abrasive water jet (AWJ) cutting is a green machining and processing technology that has found extensive applications. In this study, a well-designed cutting tool with multiple AWJ nozzles has been developed to determine the rotary multi-pass cutting depth on steel pipes that are used in petroleum industries.

Abrasive Water Jet Machining- A Review on current

Oct 07, 2016· Wang, "A new model for predicting the depth of cut in abrasive waterjet contouring of alumina ceramics", Journal of Materials Processing Technology, 2009, Vol. 209, pp 2314–2320. [25] R.

An Investigation of Abrasive Water Jet Machining

J. Wang and D. M. Guo, "A predictive depth of penetration model for abrasive waterjet cutting of polymer matrix composites," Journal of Materials Processing Technology, vol. 121, no. 2

Numerical research on kerf characteristics of abrasive

Abrasive waterjet machining has been widely used because of flexibility, but the cutting accuracy is difficult to ensure due to the lack of dynamic analysis in the forming process of the kerf. In this paper, a coupled SPH-DEM-FEM method is proposed to predict the cutting qualities of the abrasive water jet machining under different process parameters and reveal the mechanism of the kerf

New model for the prediction of the machining depth

New model for the prediction of the machining depth during milling of 3D woven composite using abrasive waterjet process X. Sourda,c, R. Zitounea,⁎, L. Crouzeixa, M. Salemb, M. Charlasc a Institut Clément Ader, CNRS, UMR 5312, 3 Rue Caroline Aigle 31400, Toulouse, France b Institut Clément Ader, CNRS, UMR 5312, Campus Jarlard 81013, Albi, France c Safran Aircraft Engines, Villaroche, Rond

Stochastic simplified modelling of abrasive waterjet

The problem of predicting the depth of penetration or, more importantly, the shape of the jet footprint has led to extensive research on predictive models for different abrasive jet processes. A common approach is to use finite-element models of multiple particles hitting the surface at high velocity [ 6 8 ].

INFLUENCE OF ABRASIVE WATERJET CUTTING CONDITIONS ON DEPTH

The effects of these parameters on depth of cut have been studied based on the experimental results. In order to correctly select the process parameters, an empirical model for the prediction of depth of cut in abrasive waterjet cutting of

A TWO-DIMENSIONAL CELLULAR AUTOMATA MODEL OF

In this paper a new approach to modelling abrasive water jet (AWJ) cutting is presented. A cellular automata (CA) model was developed, which calculates the shape of the cutting front, which can be used as an estimation of the surface quality. The CA calculates the form of the

Prediction of the Cutting Depth of Abrasive Suspension Jet

Abrasive suspension jet is a new embranchment of abrasive jet. In the cutting process of this jet, the suspension concentration is constant, so the cutting quality is more stable. In this paper, a prediction model based on a back-propagation (BP) artificial neural network is presented for predicting the cutting depth generated by abrasive suspension jet.

Model for Predicting the Micro-Grinding Force of K9 Glass

Thereafter, the arithmetical model of grinding force was established based on the geometrical model of a single abrasive grain, taking into account the random distribution of grinding grains, and this fact was considered when establishing the number of active grains participating in cutting N d-Tot.

GSMMC19: Cutting with Water

The new erosion model proposed introduces a jet velocity roundness. 2. Based on this erosion model, the authors further developed a model for pre-dicting the depth of cut of abrasive waterjets in di erent metals. The erosion These models can predict things such as cutting depth and volume of material

Prediction model of depth of penetration for alumina

A new model for predicting the depth of cut in abrasive waterjet contouring of alumina ceramics Wang, J High energy fluid jet machining (HEFJet-Mach): from scientific and technological advances to niche industrial applications

Multi Response Optimization on Machining Titanium Alloy

Oct 11, 2019· An empirical model for the prediction of depth of cut in abrasive water jet cutting of cast iron has been developed using regression analysis. The approach is based on Taguchi-DEAR method to optimize the AWJM process parameter for effective machining.

Multi Response Optimization on Machining Titanium Alloy

Oct 11, 2019· An empirical model for the prediction of depth of cut in abrasive water jet cutting of cast iron has been developed using regression analysis. The approach is based on Taguchi-DEAR method to optimize the AWJM process parameter for effective machining.

Effects of Process Parameters on Depth of Cut in Abrasive

waterjet cutting process. The influence of these process parameters on depth of cut has been studied based on the experimental results.In order to correctly select the process parameters, an empirical model for the prediction of depth of cut in abrasive waterjet

A Model for Abrasive-Waterjet (AWJ) Machining J. Eng

Predicting the cutting results, however, is a difficult task and a major effort in this development process. This paper presents a model for predicting the depth of cut of abrasive-waterjets in different metals. This new model is based on an improved model of erosion

A TWO-DIMENSIONAL CELLULAR AUTOMATA MODEL OF

In this paper a new approach to modelling abrasive water jet (AWJ) cutting is presented. A cellular automata (CA) model was developed, which calculates the shape of the cutting front, which can be used as an estimation of the surface quality. The CA calculates the form of the

An analytical model for predicting depth of cut

This paper presents a modified model to predict the total depth of cut in abrasive waterjet cutting (AWJC). For predicting the depth of cut in the cutting wear region, the interaction of cylindrical waterjet with the target material and the deflection of jet in lateral direction perpendicular to the

A Machinability Study of Stainless Steel Using Abrasive

The effects of these parameters on depth of cut and surface roughness have been studied based on the experimental results. In order to correctly select the process parameters, an empirical model for the prediction of depth of cut in abrasive waterjet cutting of stainless steel was developed using regression analysis.This developed model

Stochastic simplified modelling of abrasive waterjet

The problem of predicting the depth of penetration or, more importantly, the shape of the jet footprint has led to extensive research on predictive models for different abrasive jet processes. A common approach is to use finite-element models of multiple particles hitting the surface at high velocity [ 6 8 ].

An analytical model for predicting depth of cut

An analytical model for predicting depth of cut in abrasive waterjet cutting of ductile materials considering the deflection of jet in lateral direction January 2009 International Journal of

New model for the prediction of the machining depth

Model 2: prediction of the depth of cut from the Gauss model of elementary pass. The second model developed in this study is based on Gauss model mainly used for the prediction of an elementary pass profile when machining metallic materials,, . Based on these works, the general form of the elementary pass can be modelled using the Eq.

Prediction of Crack for Drilling Process on Alumina Using

The results were confirmed by experiments, which indicated that the selected drilling parameters effectively reduce the crack. The neural network is applied to establish a model based on the relationship between input parameters (spindle speed, feed rate, depth of cut, and diamond abrasive size) and output parameter (cracking area percentage).

An analytical model for predicting depth of cut

This paper presents a modified model to predict the total depth of cut in abrasive waterjet cutting (AWJC). For predicting the depth of cut in the cutting wear region, the interaction of cylindrical waterjet with the target material and the deflection of jet in lateral direction perpendicular to the

Analytical Elastic–Plastic Cutting Model for Predicting

The improved model is validated experimentally and shows higher accuracy than the existing model. Furthermore, the sensitivity of the grain depth-of-cut to three introduced factors is analyzed, presenting the necessity of the consideration of these factors during the prediction of grain depth-of-cut in ultrafine grinding.

(PDF) MODELING AND ANALYSIS OF DEPTH OF CUT IN ABRASIVE

Abrasive waterjet cutting is one of the non-traditional cutting processes capable of cutting wide range of hard-to-cut materials. This paper assesses the influence of process parameters on depth of cut which is an important cutting performance

Analytical Elastic–Plastic Cutting Model for Predicting

The improved model is validated experimentally and shows higher accuracy than the existing model. Furthermore, the sensitivity of the grain depth-of-cut to three introduced factors is analyzed, presenting the necessity of the consideration of these factors during the prediction of grain depth-of-cut in ultrafine grinding.

‪S.Srinivas‬ ‪Google Scholar‬

An analytical model for predicting depth of cut in abrasive waterjet cutting of ductile materials considering the deflection of jet in lateral direction SSNR Babu