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

Author(s):  
Divyansh Patel ◽  
Puneet Tandon

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.

2020 ◽  
Vol 26 ◽  
pp. 1389-1392 ◽  
Author(s):  
Dharmagna R. Tripathi ◽  
Krupang H. Vachhani ◽  
Soni Kumari ◽  
Dinbandhu ◽  
Kumar Abhishek

2010 ◽  
Vol 135 ◽  
pp. 370-375 ◽  
Author(s):  
Jing Ming Fan ◽  
Chang Ming Fan ◽  
Jun Wang

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.


2015 ◽  
Vol 799-800 ◽  
pp. 343-350
Author(s):  
Rahul Shukla ◽  
Brajesh Kumar Lodhi

Wire Electric Discharge Machining (WEDM) is a non-traditional process of material from conductive material to produce parts with intricate shape and profiles. In the present work, an attempt has been made to optimization the machining conditions for maximum material removal rate, minimise kerf width based on (L9 Orthogonal Array) Taguchi method. Experiments, based on Taguchi’s parameters design, were carried out to effect of machining parameters, like pulse-on-time (TON), pulse-off-time (TOFF), peak current (IP), and wire feed (WF) on the material removal rate and kerf width. The importance of the cutting parameters on the cutting performance outputs is determined by using the variance analysis (ANOVA). The variation of MRR and kerf width with cutting parameters is modeled by using a regression analysis method.


2016 ◽  
Vol 16 (3) ◽  
pp. 189-199 ◽  
Author(s):  
Anish Kumar ◽  
Vinod Kumar ◽  
Gaurav Sharma

AbstractIn laser cutting, the capability of laser cutting mainly depends on optical and thermal properties of work material. The surface quality and metallurgical properties of the product is most important from the point of laser cutting quality. The present research work explores the modeling and optimization of laser beam cutting process parameters by using hybrid approach of Taguchi based fuzzy logic. The multi-response optimization of process parameters has been done to improve geometrical accuracy by minimizing the kerf width and kerf deviation. The four input parameters power, gas pressure, feed rate, pulse frequency and three output parameters kerf width (KW), kerf deviation (KD) and material removal rate (MRR) have been taken for the experimentation work. The S/N ratios taken for the KW and KD is of the smaller-the-better type and MRR is of the higher the better type. The predicting fuzzy logic model is implemented on Fuzzy Logic Toolbox of MATLAB using Mamdani technique. The fuzzy logic theory has been applied to compute the fuzzy multi-response performance index (FMRPI). This performance index is further used for multi-objective optimization. The selected samples were analyzed using scanning electron microscope. The predicted optimum results have been validated by performing the confirmation tests. The confirmation tests showed the considerable reduction in kerf deviation and increase in material removal rate.


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..


2020 ◽  
Vol 70 (1) ◽  
pp. 81-88
Author(s):  
Manoj Modi ◽  
Gopal Agarwal ◽  
Swati D Chaugaonkar ◽  
Umesh Bhatia ◽  
Veerendra Patil

AbstractThe impact of machine feed rates of Wire Electric Discharge Machining on the kerf-width (K-width), material-removal-rate (MR-R), and surface-roughness (S-R) in the machining of Al/SiC composite is practically analysed. The relation among the feed rates of machine and K-width, MR-R, S-R is graphically acquired. It is demonstrated that lesser rate of feed is responsible for generation of larger K-width, lesser MR-R, and good finish as compared to more feed rate.


2014 ◽  
Vol 6 ◽  
pp. 624203 ◽  
Author(s):  
Iman Zohourkari ◽  
Mehdi Zohoor ◽  
Massimiliano Annoni

The effects of the main operational machining parameters on the material removal rate (MRR) in abrasive waterjet turning (AWJT) are presented in this paper using a statistical approach. The five most common machining parameters such as water pressure, abrasive mass flow rate, cutting head traverse speed, workpiece rotational speed, and depth of cut have been put into a five-level central composite rotatable experimental design (CCRD). The main effects of parameters and the interaction among them were analyzed by means of the analysis of variance (ANOVA) and the response surfaces for MRR were obtained fitting a second-order polynomial function. It has been found that depth of cut and cutting head traverse speed are the most influential parameters, whereas the rotational speed is insignificant. In addition, the investigations show that interactions between traverse speed and pressure, abrasive mass flow rate and depth of cut, and pressure and depth of cut are significant on MRR. This result advances the AWJT state of the art. A complete model discussion has been reported drawing interesting considerations on the AWJT process characterising phenomena, where parameters interactions play a fundamental role.


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