Influence of Process Parameters on the Dimensions of the Channels Prepared Using Abrasive Water Jet Machining

2013 ◽  
Author(s):  
T. V. K. Gupta ◽  
Puneet Tandon ◽  
J. Ramkumar ◽  
Nalinaksh S. Vyas
Keyword(s):  
Process Parameters ◽  
Flow Rate ◽  
Abrasive Particle ◽  
Traverse Speed ◽  
Machining Process ◽  
Standoff Distance ◽  
Depth Of Cut ◽  
Large Set ◽  
Influence Of Process Parameters ◽  
Abrasive Size

Preparation of micro/macro channels using unconventional machining methods/processes on hard to machine materials is increasingly in demand in the micro machining industry. AWJM is one such process that can be used for the creation of these channels. Achieving the dimensional accuracy is a challenge because process is influenced by large set of process parameters and further in depth milling process, it is much more challenging than anticipated unlike in conventional machining process. The current research is an attempt to create a channel with varying operating parameters (abrasive size, flow rate, standoff distance and traverse speed) and address the issues of 3D shape generation which is nothing but an overlap of channels for a specific freeform surface. The paper presents the variations in the dimensions of the channel with process parameters. Traverse speed decides the exposure time of the material to the jet and also the erosion capabilities. The experimental results reveal that the channel dimensions are dependent on the standoff distance which leads to the abrasive particle velocity distributions. Results obtained reveals that depth of cut is mainly dependent on the traverse speed followed by particle size. The width of the cut is dependent on the jet diameter which changes with standoff distance. The taper cut is mainly because of the particle distribution which is governed by the abrasive size and the abrasive flow rate. Proceeding in this way, we can understand the influence of process parameters on the dimensional characteristics and further to establish a base for creating complex shapes using AWJM.

scholarly journals Abrasive jet drilling of glass sheets: Effect and optimisation of process parameters on kerf taper

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401774843 ◽  
Author(s):  
Ahmed Nassef ◽  
Ahmed Elkaseer ◽  
El Shimaa Abdelnasser ◽  
Mohamed Negm ◽  
Jaber Abu Qudeiri
Keyword(s):  
Process Parameters ◽  
Applied Pressure ◽  
Dimensional Accuracy ◽  
Major Effect ◽  
Machining Process ◽  
Standoff Distance ◽  
Influence Of Process Parameters ◽  
Abrasive Jet Machining ◽  
Proposed Model ◽  
Kerf Taper

This article reports an investigation of the influence of process parameters on the obtainable dimensional accuracy when drilling glass using abrasive jet machining. In particular, holes were drilled out of glass sheets, and the effects of standoff distance, nozzle diameter, particle grain size and applied pressure on the kerf taper were examined. An artificial neural network technique was used to establish a precise model of kerf taper as a function of the process parameters. The proposed model was then optimised, and the conditions to minimise the kerf taper were identified using a genetic algorithm. The results revealed that standoff distance has a major effect on kerf taper, and it proved possible to substantially reduce the kerf taper by applying an axial feed to the nozzle so that the standoff distance is kept constant during the machining process.

scholarly journals Taguchi based fuzzy logic model for optimisation and prediction of surface roughness during AWJM of DRCUFP composites

2022 ◽  
Vol 9 ◽  
pp. 2
Author(s):  
Raviraj Shetty ◽  
Adithya Hegde
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Flow Rate ◽  
Water Pressure ◽  
Traverse Speed ◽  
Logic Model ◽  
Depth Of Cut ◽  
Plant Fiber ◽  
Fuzzy Logic Model ◽  
Abrasive Size

From last two decades, plant fiber reinforced polymer/polyester composites have been effectively used in structural and automotive applications. Researchers and manufacturers are looking forward for an effective utilization of these composites. However, despite the outstanding properties in terms of load bearing capacity and environmental sustainability of plant fibers the uptake of these composites are limited due to its poor machinability characteristics. Hence in this paper, Taguchi based fuzzy logic model for the optimization and prediction of process output variable such as surface roughness during Abrasive Water Jet Machining (AWJM) of new class of plant fiber reinforced polyester composites i.e., Discontinuously Reinforced Caryota Urens Fiber Polyester (DRCUFP) composites has been explored. Initially machining experiments has been carried out using L27 orthogonal array obtained from Taguchi Design of Experiments (TDOE). Finally, Taguchi based fuzzy logic model has been developed for optimisation and prediction of surface roughness. From the extensive experimentation using TDOE it was observed that the optimum cutting conditions for obtaining minimum surface roughness value, water pressure (A): 300 bar, traverse speed (B): 50 mm, stand of distance: 1 mm, abrasive flow rate: 12 g/s, depth of cut (C): 5 mm and Abrasive Size:200 microns. Further from FLM, it is observed that minimum water pressure (A): 100 bar, traverse speed (B): 50 mm, stand of distance: 1 mm, abrasive flow rate: 8 g/s, depth of cut (C): 5 mm and abrasive size:100 microns gave higher surface roughness values (3.47 microns) than that at maximum water pressure (A): 300 bar, traverse speed (B): 150 mm, stand of distance: 4 mm, abrasive flow rate: 12 g/s, depth of cut (C): 15 mm and abrasive size:200 microns the surface roughness values (3.25 microns).

EXPERIMENTAL STUDY OF SURFACE ROUGHNESS AND TAPER ANGLE IN ABRASIVE WATER JET MACHINING OF 7075 ALUMINUM COMPOSITE USING RESPONSE SURFACE METHODOLOGY

2019 ◽  
Vol 27 (03) ◽  
pp. 1950112 ◽  
Author(s):  
A. SHANMUGAM ◽  
K. KRISHNAMURTHY ◽  
T. MOHANRAJ
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Water Pressure ◽  
Traverse Speed ◽  
Standoff Distance ◽  
Abrasive Waterjet ◽  
Machined Surface ◽  
Taper Angle

Surface roughness and taper angle of an abrasive waterjet machined surface of 7075 Aluminum metal matrix composite were deliberately studied. Response surface methodology design of experiments and analysis of variance were used to design the experiments and to identify the effect of process parameters on surface roughness and taper angle. The jet traverse speed and jet pressure were the most significant process parameters which influence the surface roughness and taper angle, respectively. Increasing the pressure and jet traverse speed results in increasing the surface roughness and taper angle. At the same time, decreasing the standoff distance and jet traverse speed possibly enhances both the responses. The optimal process parameters of 1[Formula: see text]mm as standoff distance, 192[Formula: see text]MPa as water pressure and 30[Formula: see text]mm[Formula: see text]min[Formula: see text] as jet traverse speed were identified to obtain the minimum value of surface roughness and taper angle. Based on the optimal parameters, the confirmation test was conducted. The mathematical equation was obtained from the experimental data using regression analysis; it was observed that the error was less than 5% of the experimentally measured values.

Effect of Process Parameters on Depth of Penetration & Surface Roughness in Abrasive Waterjet Cutting of Copper

2019 ◽  
Vol 895 ◽  
pp. 301-306
Author(s):  
Keshav Kashyap ◽  
S. Srinivas
Keyword(s):  
Surface Roughness ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Process Parameters ◽  
Flow Rate ◽  
Traverse Speed ◽  
High Water ◽  
Water Jet ◽  
Abrasive Waterjet ◽  
Depth Of Penetration

This study evaluates the effect of process parameters on depth of penetration and surface roughness in abrasive waterjet (AWJ) cutting of copper. Full factorial experiments are carried out on trapezoidal blocks for each of the three abrasive particle sizes used. Experimental parameters - abrasive mass flow rate, water jet pressure and traverse speed are varied at three levels. Main effects and contributions of process parameters to depth of penetration and surface roughness is calculated. From the data, it is observed that, high abrasive mass flow rate, high water jet pressure and low traverse speed resulted in higher depth of penetration and a high abrasive mass flow rate, high water jet pressure and low traverse speed resulted in lesser Ra value. Using experimental data a statistical model for predicting depth of penetration & surface roughness is developed. Error between experimental and statistical values are compared to validate the statistical model. The maximum DOP of 49.32mm was observed at AMFR=405.4 g/min, P=300 MPa, TS=60 mm/min, MS=60 Mesh and minimum DOP of 4.27mm was observed at AMFR=200 g/min, P=100 MPa, TS=90 mm/min, MS=80 Mesh.

Optimization of Process Parameters for Cutting Force for Aluminium 7010 in CNC End Milling Process

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
M. Kishanth ◽  
P. Rajkamal ◽  
D. Karthikeyan ◽  
K. Anand
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Process Parameters ◽  
End Milling ◽  
Milling Process ◽  
Machining Process ◽  
Depth Of Cut ◽  
Optimization Of Process Parameters ◽  
Cnc End Milling ◽  
End Milling Process

In this paper CNC end milling process have been optimized in cutting force and surface roughness based on the three process parameters (i.e.) speed, feed rate and depth of cut. Since the end milling process is used for abrading the wear caused is very high, in order to reduce the wear caused by high cutting force and to decrease the surface roughness, the optimization is much needed for this process. Especially for materials like aluminium 7010, this kind of study is important for further improvement in machining process and also it will improve the stability of the machine.

Modeling of Catalytic Reforming of Straight-Run Gasoline: The Influence of Process Parameters on the Composition of Reforming Products

2018 ◽  
Vol 18 (5) ◽  
pp. 70-75
Author(s):  
A. A. Dyusembaeava ◽  
V. I. Vershinin
Keyword(s):  
Process Parameters ◽  
Flow Rate ◽  
Total Yield ◽  
Inlet Temperature ◽  
Feed Flow Rate ◽  
Catalytic Reforming ◽  
Influence Of Process Parameters ◽  
Circulation Ratio ◽  
Benzene Toluene ◽  
Gas Circulation

The computer simulation was based on an adequate kinetic model with allowance for deactivation of the Pt-Sn catalyst. Weight proportions of the target reforming products (benzene, toluene, xylenes) were calculated by varying sequentially the process parameters: temperature between 480 and 550 °C, pressure between 6 and 10 atm, volume feed flow rate between 0.9 and 1.5 h–1, hydrogen-rich gas circulation ratio between 400 and 550 m3/m3. It was established that the inlet temperature elevation, pressure reduction and a decrease in the hydrogen-rich gas circulation ratio led to an increase in the total yield of arenes but not to change in the proportions of different arenes. These results agreed with the theoretical assumptions and analytic data on the real platformate. Reduction of the volume feed flow rate at otherwise identical conditions resulted in improvement of the expected yield of arenes and in a change in proportions of arenes in the platformate: the proportion of xylenes decreased but the proportion of benzene and toluene increased.

Modeling & Analysis of End Milling Process Parameters Using Artificial Neural Networks

2014 ◽  
Vol 592-594 ◽  
pp. 2733-2737 ◽  
Author(s):  
G. Harinath Gowd ◽  
K. Divya Theja ◽  
Peyyala Rayudu ◽  
M. Venugopal Goud ◽  
M .Subba Roa
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Parameters ◽  
End Milling ◽  
Milling Process ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Artificial Neural ◽  
End Milling Process

For modeling and optimizing the process parameters of manufacturing problems in the present days, numerical and Artificial Neural Networks (ANN) methods are widely using. In manufacturing environments, main focus is given to the finding of Optimum machining parameters. Therefore the present research is aimed at finding the optimal process parameters for End milling process. The End milling process is a widely used machining process because it is used for the rough and finish machining of many features such as slots, pockets, peripheries and faces of components. The present work involves the estimation of optimal values of the process variables like, speed, feed and depth of cut, whereas the metal removal rate (MRR) and tool wear resistance were taken as the output .Experimental design is planned using DOE. Optimum machining parameters for End milling process were found out using ANN and compared to the experimental results. The obtained results provβed the ability of ANN method for End milling process modeling and optimization.

scholarly journals Multi-Objective Process Parameter Optimization for Surface Roughness and Material Removal Rate in Face Milling of Al 6061 T6 Alloy

2019 ◽  
Vol 9 (2) ◽  
pp. 137-142
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Face Milling ◽  
Machining Process ◽  
Depth Of Cut ◽  
Al 6061

This study uses Taguchi methodology and Gray Relational Analysis approach to explore the optimization of face milling process parameters for Al 6061 T6 alloy.Surface Roughness (Ra), Material Removal Rate (MRR) has been identified as the objective of performance and productivity.The tests were performed by selecting cutting speed (mm / min), feed rate (mm / rev) and cutting depth (mm) at three settings on the basis of Taguchi's L9 orthogonal series.The grey relational approach was being used to establish a multiobjective relationship between both the parameters of machining and the characteristics of results. To find the optimum values of parameters in the milling operation, the response list and plots are used and found to be Vc2-f1-d3. To order to justify the optimum results, the confirmation tests are performed.The machining process parameters for milling were thus optimized in this research to achieve the combined goals such as low surface roughness and high material removal rate on Aluminum 6061 t6.It was concluded that depth of cut is the most influencing parameter followed by feed rate and cutting velocity.

Parameter optimization and experimental study on wire electrical discharge machining of porous Ni40Ti60 alloy

2015 ◽  
Vol 231 (6) ◽  
pp. 956-970 ◽  
Author(s):  
Neeraj Sharma ◽  
Tilak Raj ◽  
Kamal Kumar Jangra
Keyword(s):  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Wire Electrical Discharge Machining ◽  
Influence Of Process Parameters ◽  
Work Surface ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Response Variables

NiTi is a shape memory alloy, mostly employed in cardiovascular stents, orthopedic implants, orthodontic wires, micro-electromechanical systems and so on. The effective and net shape machining of NiTi is very critical for excellent response of this material in medical and other applications. The present experimental work on wire electrical discharge machining process identifies the influence of process parameters that affect the cutting rate, dimensional shift and surface roughness while machining of porous nickel–titanium (Ni40Ti60) alloy. Porous Ni40Ti60 alloy was produced in-house using powder metallurgy technique. Response surface methodology–based central composite rotatable design has been used for the planning of experiments on wire electrical discharge machining. Empirical relations have been developed between the process parameters (pulse on-time, pulse off-time, servo voltage and peak current) and response variables. Desirability approach has been used for optimizing the three response variables simultaneously. Confirmation experiments were also performed at the optimized settings and reflect a close agreement between the predicted and experimental values (percentage error varies from −6.13% to +6.85%). Using wire electrical discharge machining, NiTi alloy can be machined easily and successfully in single-cutting operation, but after the first cut in wire electrical discharge machining, a surface projection appears on work surface which is the unmachined material on work surface.

Influence of Process Parameters on Microstructure of Friction Stir Processed Mg AZ31 Alloy

2014 ◽  
Vol 2 (1) ◽  
pp. 47-58
Author(s):  
G. Venkateswarlu ◽  
M.J. Davidson ◽  
G.R.N. Tagore ◽  
P. Sammaiah
Keyword(s):  
Plastic Deformation ◽  
Grain Refinement ◽  
Process Parameters ◽  
Tilt Angle ◽  
Friction Stir Processing ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Homogeneous Microstructure ◽  
Influence Of Process Parameters ◽  
Friction Stir

Friction stir processing (FSP) has been developed on the principles of friction stir welding (FSW) as an effective and efficien new method for grain refinement and microstructural modification, providing intense plastic deformation as well as higher strain rates than other conventional severe plastic deformation methods. FSP produces an equiaxed homogeneous microstructure consisting of fine grains, resulting in the enhancement of the properties of the material at room temperature. The objective of the present paper is to examine the influence of friction stir processing (FSP) parameters namely tool rotational speed (RS), tool traverse speed (TS) and tool tilt angle (TA) on the microstructures of friction stir processed AZ31B-O magnesium alloy. This investigation has focused on the microstructural changes occurred in the dynamically recrystallised nugget zone/ stir zone and the thermo mechanically affected zone during FSP. The results presented in this work indicate that all the three FSP process parameters have a significant effect on the resulting microstructure and also found that the rotational speed has greatly influenced the homogenization of the material. The grain refinement is higher at intermediate rotational speed (1150 rpm), traverse speed (32 mm / min and tilt angle (10). It is established that FSP can be a good grain refinement method for improving the properties of the material.

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