Determination of vibration frequency depending on abrasive mass flow rate during abrasive water jet cutting

The paper deals with the possibilities of homogenization of the kerf width by proper choice of the respective feed rate and abrasive mass flow for particular models of cutting. The introductory part is devoted to reasons for the kerf width variability in dependence on the models of cutting, as well as to the methods of determining the kerf width in cutting of solid wood by abrasive water jet. In the conclusion are presented the results concerning the development of kerf width in the range of commonly used feed rates and abrasive mass flows.

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Investigations on surface roughness and tribology of miniature brass gears manufactured by abrasive water jet machining

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406217747913 ◽

2017 ◽

Vol 232 (22) ◽

pp. 4193-4202 ◽

Cited By ~ 12

Author(s):

Thobi Phokane ◽

Kapil Gupta ◽

Munish Kumar Gupta

Keyword(s):

Surface Roughness ◽

Mass Flow Rate ◽

Mass Flow ◽

Flow Rate ◽

Optimization Technique ◽

Water Jet ◽

Machining Parameters ◽

Abrasive Water Jet ◽

Abrasive Water Jet Machining ◽

Particle Swarm Optimization Technique

Surface roughness parameters are important indicators for determining the operating performance, tribology behavior, wear and tear characteristics, and service life of engineered parts including gears. This article presents the investigation on surface roughness, and tribology and wear aspects of miniature brass gears manufactured by abrasive water jet machining. Experiments have been conducted based on Taguchi's robust design technique with L9 orthogonal array to machine external spur-type miniature gears of brass having 8.4 mm pitch diameter, 12 teeth, and 5 mm thickness. The effect of three important process parameters namely water jet pressure, abrasive mass flow rate, and stand-off distance on mean roughness depth of miniature gears are analyzed. Surface roughness is found to decrease with the increase in the water jet pressure and abrasive mass flow rate, and increases with the increase in the stand-off distance. Particle swarm optimization technique has been used for parametric optimization to minimize the surface roughness of miniature gears. Confirmation experiment conducted at optimized abrasive water jet machining parameters resulted in superfine surface finish with mean roughness depth value of 4.1 µm superior than the finish obtained by other advanced processes for brass gears. The investigated values of bearing area characteristics, skewness, kurtosis, and friction coefficient confirm the tribological fitness of the miniature brass gear machined at optimum abrasive water jet machining parameters.

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Water Jet Automation

International Journal of Emerging Technology and Advanced Engineering ◽

10.46338/ijetae1021_21 ◽

2021 ◽

Vol 11 (10) ◽

pp. 177-181

Author(s):

Michael Paszczuk ◽

Keyword(s):

Mass Flow Rate ◽

Mass Flow ◽

Flow Rate ◽

Human Error ◽

Traverse Speed ◽

Water Jet ◽

Optimization Techniques ◽

Tolerance Zone ◽

Helpful Tool ◽

Water Jet Cutting

Water jet cutting has been an extremely helpful tool that creates flawless parts with tolerances up to 0.1 mm. During the cutting process, it is important to note that each step must be optimized to create the best finish or maintain the correct tolerance zone. These steps are composed of abrasive mass flow rate, traverse speed, and standoff distance. In order for these optimization techniques to be followed a strict set of rules must be followed to ensure consistent progression. Programs such as MATLAB can be utilized to reduce human error in the calculations. MATLAB files can then be saved to use with other materials and thickness combinations.

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Experimental study of delamination and kerf geometry of carbon epoxy composite machined by abrasive water jet

Journal of Composite Materials ◽

10.1177/0021998316688950 ◽

2017 ◽

Vol 51 (24) ◽

pp. 3373-3390 ◽

Cited By ~ 34

Author(s):

Ajit Dhanawade ◽

Shailendra Kumar

Keyword(s):

Mass Flow Rate ◽

Mass Flow ◽

Process Parameters ◽

Flow Rate ◽

Epoxy Composite ◽

Water Jet ◽

Hydraulic Pressure ◽

Abrasive Water Jet ◽

Abrasive Water Jet Machining ◽

Kerf Taper

The present article focuses on mechanism of delamination and kerf geometry in abrasive water jet machining of carbon epoxy composite. In the present study, four process parameters of abrasive water jet machining namely hydraulic pressure, traverse rate, stand-off distance, and abrasive mass flow rate are considered. The experiments are performed on the basis of response surface methodology as a statistical design of experiment approach. Delamination in machined samples is observed by using scanning electron microscope. Analysis of variance is performed in order to investigate the influence of process parameters on delamination, kerf taper ratio, and kerf top width. It is found that delamination decreases with increase in pressure and abrasive mass flow rate and decrease in stand-off distance and traverse rate. Kerf taper ratio decreases with increase in pressure and decrease in traverse rate and stand-off distance. Kerf top width decreases with decrease in stand-off distance and increase in traverse rate. Based on analysis, mathematical models are developed to predict the maximum delamination length, kerf taper ratio, and kerf top width. Further, a multi-response optimization is performed on the basis of desirability function to minimize delamination, kerf taper ratio, and kerf top width.

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Artificial Intelligence Model for the Prediction of Cut Quality in Abrasive Water Jet Cutting

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.657.206 ◽

2014 ◽

Vol 657 ◽

pp. 206-210 ◽

Cited By ~ 1

Author(s):

Miloš Madić ◽

Predrag Janković ◽

Laurenţiu Slătineanu ◽

Miroslav Radovanović

Keyword(s):

Artificial Intelligence ◽

Flow Rate ◽

Water Jet ◽

Percentage Error ◽

Abrasive Water Jet ◽

Ann Model ◽

Workpiece Material ◽

Water Jet Cutting ◽

Abrasive Water Jet Cutting ◽

Cut Quality

In abrasive water jet cutting, the cut quality is of great importance. In this paper, artificial intelligence model was developed for the prediction of cut quality in abrasive water jet cutting of aluminum alloy. To this aim, artificial neural network (ANN) model was developed in terms of workpiece material thickness, traverse rate and abrasive flow rate. Three-layered feedforward ANN model having four hidden neurons trained with backpropagation algorithm with momentum was used for modeling purposes. The mathematical model showed high prediction accuracy with average absolute percentage error of about 3 %. Using the developed ANN model, 3-D graphs, showing the interaction effects of the traverse rate and abrasive flow rate for three different thicknesses, were given. It was showed that ANNs may be used as a good alternative in analyzing the effects of abrasive water jet cutting parameters on the cut quality characteristics.

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