Parametric investigation on abrasive waterjet machining of alumina ceramic using response surface methodology

Tiwari, Tanmay; Sourabh, Saket; Nag, Akash; Dixit, Amit Rai; Mandal, Amitava; Das, Alok Kumar; Mandal, Niladri; Srivastava, Ashish Kumar

doi:10.1088/1757-899x/377/1/012005

Cited by 18 publications

(5 citation statements)

References 10 publications

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“…was obtained to be within the limit [39][40][41]. The close relation of the R-square values signifies the model is appropriate for predicting the future outcomes of MRR [42]. The standard deviation of 0.008341 was obtained for MRR.…”

Section: Analysis Of Mrrmentioning

confidence: 64%

Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM

et al. 2021

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Machining of Titanium alloys (Ti6Al4V) becomes more vital due to its essential role in biomedical, aerospace, and many other industries owing to the enhanced engineering properties. In the current study, a Box–Behnken design of the response surface methodology (RSM) was used to investigate the performance of the abrasive water jet machining (AWJM) of Ti6Al4V. For process parameter optimization, a systematic strategy combining RSM and a heat-transfer search (HTS) algorithm was investigated. The nozzle traverse speed (Tv), abrasive mass flow rate (Af), and stand-off distance (Sd) were selected as AWJM variables, whereas the material removal rate (MRR), surface roughness (SR), and kerf taper angle (θ) were considered as output responses. Statistical models were developed for the response, and Analysis of variance (ANOVA) was executed for determining the robustness of responses. The single objective optimization result yielded a maximum MRR of 0.2304 g/min (at Tv of 250 mm/min, Af of 500 g/min, and Sd of 1.5 mm), a minimum SR of 2.99 µm, and a minimum θ of 1.72 (both responses at Tv of 150 mm/min, Af of 500 g/min, and Sd of 1.5 mm). A multi-objective HTS algorithm was implemented, and Pareto optimal points were produced. 3D and 2D plots were plotted using Pareto optimal points, which highlighted the non-dominant feasible solutions. The effectiveness of the suggested model was proved in predicting and optimizing the AWJM variables. The surface morphology of the machined surfaces was investigated using the scanning electron microscope. The confirmation test was performed using optimized cutting parameters to validate the results.

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Section: Analysis Of Mrrmentioning

confidence: 64%

Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM

et al. 2021

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“…Machining with AWJ can be applied for turning, drilling and milling as per requirement of the industry. However, the surface roughness of the AWJ machined surface is high compared to the other machining processes reported by most of the authors [15][16][17]. This is due the fact that the ploughing nature of cutting was observed with plastic deformation.…”

Section: Introductionmentioning

confidence: 90%

Surface Roughness Report and 3D Surface Analysis of Hybrid Metal Matrix Composites (MMC) During Abrasive Water Jet (AWJ) Cutting

Srivastava¹,

Dwivedi²,

Maurya³

et al. 2020

RCMA

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The conventional machining of engineering hard materials like composites is a challenging task due to rapid tool wear and high machining cost. In this context, the non-conventional machining such as abrasive waterjet cutting is mostly utilized for the cutting of such hard materials due to its tremendous machining outcomes. Here an attempt is made to cut the previously developed sample of hybrid metal matrix composite A359/B4C/Al2O3 by abrasive waterjet machining process. Three different samples with change proportions of reinforcement from 2% to 4% were used in this study to create the flat machined surfaces. The surface roughness profile and 3D surface detailing are generated through the microprof FRT machine and inbuilt measuring sensor. Result revels that rough cutting with the average surface roughness value ranges from 7 to 9 µm for the selected samples. The machined surface is full of cutting traces with some of macro pores of size 1.2 mm to 1.8 mm observed by 3D profile views.

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“…When the pressure is proportional to the size of the area being cleaned, the jet is able to remove paint from the same area multiple times after passing over it, but when an abrasive waterjet (AFR = 2 g/s) is used, which results in more penetration on the specimen and a higher level of surface roughness, the paint is removed from the same area more quickly. As pressure increases, the water particles' kinetic energy rises, leading to more materials being eroded [14] [15]. High water supply pressure and water droplet impingement speed cause an increase in surface roughness.…”

Section: Effect Of Waterjet Input Parameter On Surface Area Roughnessmentioning

confidence: 99%

Effect of Waterjet Cleaning Parameters During Paint Removal Operation on Automotive Steel Components

Mat Nawi,

Alzaghir,

Husin

et al. 2023

JMMST

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The automotive industry is expanding quickly, and each year, many vehicles are produced with beautiful paints. Increases in the number of end-of-life or old vehicles will occur as a result of uncontrolled growth in the number of manufactured vehicles. Recycling car parts is therefore necessary in the automotive industry specially to beautify the appearance of old vehicles with new paint. Waterjet cleaning is one of the most contemporary techniques frequently employed to guarantee uniform paint removal with no secondary pollutions. Study on waterjet cleaning parameters mostly focuses on pressure, traverse rate, and standoff distance. However, there are other new parameters associated with waterjet cleaning process namely number of cleaning passes and overlap rate which shows improvement in paint removal but lack in literature reviews. In the present study, paint is removed using the abrasive waterjet (AWJ) and plain waterjet (PWJ) paint removal techniques from parts made for automobiles in order to examine cleaning characteristics such as effectiveness and surface roughness. The findings indicated that AWJ cleaning process was more effective at cleaning than PWJ, which had a smaller cleaning capacity. However, AWJ cleaning process resulted in a rougher surface due to complete removal of paints as well as erosion of the substrate material. A better control of AWJ cleaning process may result in more efficient of paint removal without damaging the substrate material.

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Parametric investigation on abrasive waterjet machining of alumina ceramic using response surface methodology

Cited by 18 publications

References 10 publications

Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM

Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM

Surface Roughness Report and 3D Surface Analysis of Hybrid Metal Matrix Composites (MMC) During Abrasive Water Jet (AWJ) Cutting

Effect of Waterjet Cleaning Parameters During Paint Removal Operation on Automotive Steel Components

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