Experimental investigations on pocket milling of titanium alloy using abrasive water jet machining

Kanthababu, M.; Ram, Rajes M.; Emannuel, Nithin Peter; Gokul, R.; Rammohan, Radhik

doi:10.5937/fmet1602133k

Cited by 21 publications

(9 citation statements)

References 14 publications

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“…The selection of values of the variable parameters was based on the literature review on AWJ milling [1,[3][4][5][6][7]12]. As the water pressure is the most important parameter influencing the machined surface quality [3,4,6,12], four levels were considered for the experiments.…”

Section: Experimental Set Upmentioning

confidence: 99%

“…Based on several studies focusing on abrasive water jet machining of Ti6Al4V [3][4][5][6][7], though a large set of machining parameters affects the depth of cut, the water pressure, the traverse speed and the scan step (in order of importance), are identified as the most influential. When the water pressure increases, the amount of energy transferred from the jet to the abrasive particles increases too.…”

Section: Introductionmentioning

confidence: 99%

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Plain water jet cleaning of titanium alloy after abrasive water jet milling: Surface contamination and quality analysis in the context of maintenance

Sourd

Zitoune

Hejjaji

et al. 2021

Wear

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Abrasive water jet (AWJ) milling process, though being an effective alternative to conventional machining for difficult-to-machine materials, induces abrasive embedment which is an issue for repair application by structural bonding. In this context, the effectiveness of cleaning Ti6Al4V specimens by Plain Water Jet (PWJ) post AWJ milling is studied. For this, Ti6Al4V specimens are milled by AWJ process with varying parameters to create several levels of surface quality and contamination. Different characterization techniques have been used to perform a multi-scale analysis of the machined surfaces and surface quality has been quantified by an innovative criterion called "crater volume" (Cv). Then the specimens are subjected to PWJ cleaning operation (using a single set of parameters chosen after preliminary study). Finally, surface texture analysis and contamination quantification is performed and compared with the AWJ milled surfaces. The results revealed that PWJ cleaning reduced the surface contamination by 65% without any significant change in Cv, surface texture and topology. However, it was found that it was impossible to dislodge deeply embedded particles. The comparison of pre and post-cleaning contamination levels also revealed that PWJ cleaning process efficiency depends on the AWJ milling parameters (mainly pressure).

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Section: Experimental Set Upmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Plain water jet cleaning of titanium alloy after abrasive water jet milling: Surface contamination and quality analysis in the context of maintenance

Sourd

Zitoune

Hejjaji

et al. 2021

Wear

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show abstract

“…The choice of the variable parameters is the conclusion drawn from a review concerning milling with AWJ. It was shown that the water jet pressure, the traverse speed and the scan step are the most influent parameters on the pocket's geometry [7,15,24,26,27]. In this case, four levels of pressure were selected as this parameter was found to be the most influent on the depth of cut [7,24,27].…”

Section: Abrasive Water Jet Milling Machine and Parametersmentioning

confidence: 99%

New model for the prediction of the machining depth during milling of 3D woven composite using abrasive waterjet process

Sourd

Zitoune

Crouzeix

et al. 2020

Composite Structures

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The goal is to study the influence of abrasive water jet (AWJ) machining parameters (jet pressure, traverse speed and scan step) on the cutting depth of 3D woven Carbon Fibres Reinforced Polymer (CFRP) composite. The original material linked to this non-conventional milling process has not been treated yet. The depths of cut were measured and characterized as a function of the machining parameters. Finally, two prediction models for the cutting depth are proposed and validated experimentally. An increase in cutting depth with the pressure and a decrease as the traverse speed and/or the scan step increase were observed. The first prediction model, based on the pocket depth measurements, has a mean error of 5%. However, the error increases (up to 23%) when the pocket becomes shallow (lesser than 1 mm). The second prediction model, based on the algebraic sum of elementary passes modelled with Gaussian bells, shows at first a mean error of 12%. A correction was performed depending on the erosion regime piloted by the depth of the elementary trench constitutive of the pocket. This enhancement, performed thanks to the primary jet diameters measurements with high speed camera, has improved the second model with a mean error of 5% (error < 16%).

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“…Main effect plots were used to estimate the effect of each of the factors on the machinability at various levels. The effect of each of these parameters on the machinability of workpiece was determined by means of ANOVA analysis as it gives significant process parameters [19]. In each of the trials, a total of three experiments were conducted to ascertain the accuracy of the result.…”

Section: Experimental Designmentioning

confidence: 99%

Influence of thermo-electrical property of materials on Powder Mixed Electrical Discharge Machining

Jeavudeen¹,

Siddhi²,

Murugan³

2019

FME Transactions

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Powder Mixed Electrical Discharge Machining (PMEDM) is considered as one of the viable methods to machine the materials which are hard and tough but with appreciable thermo-electrical properties. In PMEDM, it has been established that machinability is enhanced by adding additives in the form of fine powders in the spark gap of EDM process. In this investigation, the role of the thermo-electrical properties of workpiece on PMEDM process has been studied. Materials with distinct thermoelectric property, namely Mild Steel and Aluminium are taken as workpiece with Alumina as additive powder for the PMEDM process. Experiments have been conducted with Taguchi L9 Orthogonal Array (OA) with Material Removal Rate (MRR) and Tool Wear Index (TWI) as responses. Gap current, duty cycle and flow rate of powder mixed dielectric liquid have been taken as process parameters at 3 levels with circular copper rod of 12 mm diameter as tool electrode. Determination of the influence of properties of the workpiece on the machinability has been performed using a custom made PMEDM setup. ANOVA and main effect plot of data means for the aforementioned conditions have been analysed. The results are noteworthy with significant influence of the properties of the workpiece on the machinability of PMEDM process.

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Experimental investigations on pocket milling of titanium alloy using abrasive water jet machining

Cited by 21 publications

References 14 publications

Plain water jet cleaning of titanium alloy after abrasive water jet milling: Surface contamination and quality analysis in the context of maintenance

Plain water jet cleaning of titanium alloy after abrasive water jet milling: Surface contamination and quality analysis in the context of maintenance

New model for the prediction of the machining depth during milling of 3D woven composite using abrasive waterjet process

Influence of thermo-electrical property of materials on Powder Mixed Electrical Discharge Machining

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