scholarly journals AWJM Performance Measurement of Sandwich Composites

2019 ◽  
Vol 9 (2S2) ◽  
pp. 1098-1101
Keyword(s):  
Surface Roughness ◽  
Material Removal ◽  
Sandwich Structure ◽  
Removal Rate ◽  
Water Jet ◽  
Foam Core ◽  
Abrasive Water Jet ◽  
Sandwich Composites ◽  
Kerf Taper ◽  
Infusion Technique

Sandwich composites, wherein the skin and core fulfills the requirement of different properties, like in foam sandwich structure, foam is providing damping and skin provides rigidity to the structure. In this work a sandwich panels with foam core and glass/polyester skin is fabricated by vacuum infusion technique. Abrasive water-jet drilling of these materials is performed to study the effect of standoff distance (SOD), Water Jet Pressure (JP) and Traverse Rate (TR) on kerf taper and surface roughness and Material Removal Rate (MRR). The experiment is designed using Taguchi’s L9 orthogonal array. The ANOVA is done to study the influence of input parameters on output. It is found that SOD is the most influencing parameter on the kerf taper and surface roughness..

Experimental investigation on material removal rate during abrasive water jet machining of GFRP composites

2020 ◽  
Vol 26 ◽  
pp. 1389-1392 ◽  
Author(s):  
Dharmagna R. Tripathi ◽  
Krupang H. Vachhani ◽  
Soni Kumari ◽  
Dinbandhu ◽  
Kumar Abhishek
Keyword(s):  
Experimental Investigation ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Water Jet ◽  
Abrasive Water Jet ◽  
Gfrp Composites ◽  
Abrasive Water Jet Machining

Modeling the Material Removal Rate in Micro Abrasive Water Jet Machining of Glasses

2010 ◽  
Vol 135 ◽  
pp. 370-375 ◽  
Author(s):  
Jing Ming Fan ◽  
Chang Ming Fan ◽  
Jun Wang
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Water Jet ◽  
Micro Machining ◽  
Abrasive Water Jet ◽  
Predictive Capability ◽  
Abrasive Water Jet Machining ◽  
Analysis Technique ◽  
Good Agreement

Micro abrasive water jet (MAWJ) machining is a new promising micro machining technology for brittle material. The rate of material removal is one of the most important parameter for abrasive processes. Predictive mathematical model for the material removal rate is presented for micro channel machining by micro abrasive water jet (MAWJ). A dimensional analysis technique is used to formulate the model. The validity and predictive capability of the models are assessed and verified by an experimental investigation when machining glasses. It shows that the predictions of the models are in good agreement with the experimental data.

scholarly journals Abrasive Water Jet Machining Performance on Carbon Epoxy Composite

2019 ◽  
Vol 9 (2S2) ◽  
pp. 386-388
Keyword(s):  
Material Removal ◽  
Epoxy Composite ◽  
Removal Rate ◽  
Water Pressure ◽  
Input Parameter ◽  
Water Jet ◽  
Abrasive Water Jet ◽  
Machining Performance ◽  
Taguchi Analysis ◽  
Abrasive Water Jet Machining

The main aim of this investigation is to study the abrasive water jet machining performance of the twill weaved carbon fibre reinforced epoxy composite. Abrasive water jet machining experiment was conducted as per L9 orthogonal array, by varying water pressure, transverse speed and SOD. The performance of the composite was analyzed by measuring the material removal rate and kerf. Using Taguchi analysis, the influences of input parameter over the output response was analyzed. It was found that the MRR is highly influenced by the transverse speed whereas kerf is highly influence by the SOD.

A Study on Material Removal Rate and Surface Roughness of Abrasive Water Jet Machining Process on Hybrid Metal Matrix Composites using Response Surface Methodology

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
M. Shunmugasundaram ◽  
A. Praveenkumar ◽  
L. Ponraj Sankar ◽  
S. Sivasankar
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Metal Matrix ◽  
Removal Rate ◽  
Stir Casting ◽  
Water Jet ◽  
Machining Process ◽  
Machining Parameters ◽  
Abrasive Water Jet

Hybrid metal matrix composite (HMMC) plays a crucial role in the development of better and advanced materials and in their automotive and aeronautical applications. In this investigation also HMMC is prepared using aluminium alloy, as matrix of material and boron nitrate and silicon carbide are chosen for reinforcing material and stir casting method is employed to prepare this new HMMC. The abrasive water jet method is employed for machining the developed HMMCs. The Taguchi approach with ANOVA approach is utilized for optimizing the independent machining parameters to exploit removal rate of material and surface roughness is to be minimized. The Taguchi based response surface methodology(RSM) is utilized for optimizing the machining parameters. Based on the response tables, the rate of feed and stand of distance are more influential parameters on the rate of removal of material and roughness of surface. The optimized machining parameters for improving the rate of removal the material are 100mm/min of FR, 1.5mm SOD and 600gm/min. The 125mm/min FR, 1.5mm SOD and 400gm/min AFR are the optimized machining parameters for minimizing the surface roughness.

Optimization of Kerf Surface and Material Removal Rate Using Abrasive Water-Slurry Jet Machining Setup

2013 ◽  
Author(s):  
Divyansh Patel ◽  
Puneet Tandon
Keyword(s):  
Flow Rate ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Water Jet ◽  
Kerf Width ◽  
Flow Control Valve ◽  
Abrasive Water Jet ◽  
Efficient Energy Transfer ◽  
Water Slurry

This work presents a description of abrasive water-slurry jet machining (AWSJM) to improve machining capabilities of conventional abrasive water jet machine. The present work proposes a new approach of AWSJM by equipping the conventional abrasive water jet machine (AWJM) with a programmable servomotor controlled abrasive flow control valve and fabricating a setup for injecting polymer solution into the abrasive water jet nozzle, which improves the performance of abrasive jet. Three types of concentrations are prepared to perform the experiments at different values of pressure, abrasive flow rate and abrasive size. The present work identifies the optimal range of process parameters for AWSJM, with natural gelatin as binder, with the response parameters being material removal rate and kerf width. Gelatin produces a coherent, 4-phase beam which leads to efficient energy transfer, improved cutting efficiency, increased material removal rate, reduced kerf width, reduced diversification of jet and better control of abrasive flow rate. The investigation shows that materials removal rate (MRR) tends to increase for approximate 20% (by weight) concentration of polymer in AWSJM. If the polymer is mixed in lower quantities, the MRR is almost equal or less than the MRR for AWJM.

Effects of Process Parameters on Surface Roughness and MRR in the hard turning of EN 36 steel

2018 ◽  
pp. 102-110
Author(s):  
Amritpal Singh ◽  
Rakesh Kumar
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Material Removal ◽  
Hard Turning ◽  
Control Parameter ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Dry Cutting

In the present study, Experimental investigation of the effects of various cutting parameters on the response parameters in the hard turning of EN36 steel under the dry cutting condition is done. The input control parameters selected for the present work was the cutting speed, feed and depth of cut. The objective of the present work is to minimize the surface roughness to obtain better surface finish and maximization of material removal rate for better productivity. The design of experiments was done with the help of Taguchi L9 orthogonal array. Analysis of variance (ANOVA) was used to find out the significance of the input parameters on the response parameters. Percentage contribution for each control parameter was calculated using ANOVA with 95 % confidence value. From results, it was observed that feed is the most significant factor for surface roughness and the depth of cut is the most significant control parameter for Material removal rate.

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