Skip to main content

Advertisement

Log in

Performance Evaluation of Recently Developed New Process HAJM during Machining Hardstone Quartz Using Hot Silicon Carbide Abrasives: an Experimental Investigation and Sustainability Assessment

  • Original Paper
  • Published:
Silicon Aims and scope Submit manuscript

Abstract

The better machining capabilities of abrasive jet machining characterized by the absence of thermal distortion make it highly competitive with other cutting processes employing plasma and lasers. In this article, an attempt has been made to combine hot abrasives and compressed air to form a hot abrasive air jet. Hot abrasive jet machining (HAJM) can be applied to various operations such as drilling, surface etching, grooving and micro finishing on the glass and ceramics. This research work involved in cutting performance evaluation of hot abrasive jet machining (HAJM) process and machinability investigation of hardstone quartz concerning surface roughness, taper angle, and material removal rate. Three levels each for air pressure, stand-off distance, and abrasive temperature were selected as control parameters. Experimental results in accordance of Box-Behnken’s design of experiments are analyzed by employing analysis of variance (ANOVA) and statistical technique (here, desirability function analysis of RSM) followed by computational approach (here, genetic algorithm) for experimental investigation, predictive modeling, and multi-response optimization, respectively. Additionally, the effectiveness of proposed two multi-objective optimization techniques are evaluated by confirmation test. Thereafter, the mechanism of material removal has been discussed using a non-contact three-dimensional surface measurement system and scanning electron microscopy images. Finally, a novel approach has been proposed for cost saving economic analysis and sustainability assessment in order to rationalize the operational feasibility and usefulness of hot abrasives in AJM process with an intention to raise the awareness in the manufacturing industry. Analysis of experimental findings revealed that, application of hot abrasives in AJM process have shown an attention in enhancing the cutting performance for material removal. The statistical evaluation and optimization results in this study can contribute to the evaluation of HAJM machinability of hardstone quartz.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Trivedi P, Dhanawade A, Kumar S (2015) An experimental investigation on cutting performance of abrasive water jet machining of austenite steel (AISI 316L). Adv Mater Process Tech 1(3–4):263–274

    Google Scholar 

  2. Soni H, Narendranath S, Ramesh MR (2018) Effects of wire electro-discharge machining process parameters on the machined surface of Ti50Ni49Co1 shape memory alloy. Silicon 11:733–739

    Article  CAS  Google Scholar 

  3. Rahul DS, Masanta M (2018) Surface integrity and metallurgical characteristics of the EDMed work surfaces of A2 tool steel (SAE 304SS), Inconel 601 and Ti-6Al-4V: A comparative analysis. Silicon 10(4):1557–1572

    Article  CAS  Google Scholar 

  4. Sasikumar K, Arulshri K, Ponappa K, Uthayakumar M (2016) A study on kerf characteristics of hybrid aluminium 7075 metal matrix composites machined using abrasive water jet machining technology. Proc Inst Mech Eng B J Eng Manuf 232(4):690–704

    Article  CAS  Google Scholar 

  5. Kumaran ST, Ko TJ, Uthayakumar M, Islam MM (2017) Prediction of surface roughness in abrasive water jet machining of CFRP composites using regression analysis. J Alloys Compd 724:1037–1045

    Article  CAS  Google Scholar 

  6. Naresh Babu M, Muthukrishnan N (2014) Investigation on surface roughness in abrasive water-jet machining by the response surface method. Mater Manuf Process 29(11–12):1422–1428

    Article  CAS  Google Scholar 

  7. Zohourkari I, Zohoor M, Annoni M (2014) Investigation of the effects of machining parameters on material removal rate in abrasive Waterjet turning. Adv Mech Eng 6:624203

    Article  Google Scholar 

  8. Jagadish S, Bhowmik S, Ray A (2016) Prediction and optimization of process parameters of green composites in AWJM process using response surface methodology. Int J Adv Manuf Technol 87(5–8):1359–1370

    Article  Google Scholar 

  9. Ming Ming IW, Azmi AI, Chuan LC, Mansor AF (2017) Experimental study and empirical analyses of abrasive waterjet machining for hybrid carbon/glass fiber-reinforced composites for improved surface quality. Int J Adv Manuf Technol 95(9–12):3809–3822

    Google Scholar 

  10. P. A. Dumbhare, Dubey, S., Y. V. Deshpande, Andhare, A. B., & Barve, P. S. (2018). Modelling and multi-objective optimization of surface roughness and kerf taper angle in abrasive water jet machining of steel. J Braz Soc Mech Sci Eng, 40(5). https://doi.org/10.1007/s40430-018-1186-5

  11. Aydin G, Karakurt I, Hamzacebi C (2014) Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting. Int J Adv Manuf Technol 75(9–12):1321–1330

    Article  Google Scholar 

  12. Abdelnasser, E. S., Elkaseer, A., & Nassef, A. (2016). Abrasive jet machining of glass: experimental investigation with artificial neural network modelling and genetic algorithm optimisation. Cogent Eng, 3(1). https://doi.org/10.1080/23311916.2016.1276513

  13. Nassef A, Elkaseer A, Abdelnasser ES, Negm M, Qudeiri JA (2018) Abrasive jet drilling of glass sheets: effect and optimisation of process parameters on kerf taper. Adv Mech Eng 10(1):168781401774843

    Article  Google Scholar 

  14. Srinath Reddy, N., Tirumala, D., Gajjela, R., & Das, R. (2018). ANN and RSM approach for modelling and multi objective optimization of abrasive water jet machining process. Decision Sci Lett, 535–548. https://doi.org/10.5267/j.dsl.2017.11.003

  15. Ke J-H, Tsai F-C, Hung J-C, Yang T-Y, Yan BH (2011) Scrap wafer regeneration by precise abrasive jet machining with novel composite abrasive for design of experiments. Proc Inst Mech Eng B J Eng Manuf 225(6):881–890

    Article  CAS  Google Scholar 

  16. Kechagias J, Petropoulos G, Vaxevanidis N (2011) Application of Taguchi design for quality characterization of abrasive water jet machining of TRIP sheet steels. Int J Adv Manuf Technol 62(5–8):635–643

    Google Scholar 

  17. Srikanth DV, Rao MS (2015) Application of Taguchi & Response Surface methodology in optimization for machining of ceramics with abrasive jet machining. Mater Today: Proceedings 2(4–5):3308–3317

    CAS  Google Scholar 

  18. Nagendra Prasad K, John Basha D, Varaprasad KC (2017) Experimental investigation and analysis of process parameters in abrasive jet machining of Ti-6Al-4V alloy using Taguchi method. Mater Today: Proceedings 4(10):10894–10903

    Google Scholar 

  19. Muthuramalingam T, Vasanth S, Vinothkumar P, Geethapriyan T, Rabik MM (2018) Multi criteria decision making of abrasive flow oriented process parameters in abrasive water jet machining using Taguchi–DEAR methodology. Silicon 10(5):2015–2021

    Article  CAS  Google Scholar 

  20. Routara BC, Nanda BK, Sahoo AK, Thatoi DN, Nayak BB (2011) Optimisation of multiple performance characteristics in abrasive jet machining using grey relational analysis. Int J Manufact Techn Manag 24(1/2/3/4):4

    Article  Google Scholar 

  21. Santhanakumar M, Adalarasan R, Rajmohan M (2015) Experimental Modelling and analysis in abrasive Waterjet cutting of ceramic tiles using Grey-based response surface methodology. Arab J Sci Eng 40(11):3299–3311

    Article  CAS  Google Scholar 

  22. Tomy A, Hiremath SS (2020) Machining and characterization of multidirectional hybrid silica glass Fiber reinforced composite laminates using abrasive jet machining. Silicon. https://doi.org/10.1007/s12633-020-00504-3

  23. Yue Z, Huang C, Zhu H, Wang J, Yao P, Liu Z (2014) Optimization of machining parameters in the abrasive waterjet turning of alumina ceramic based on the response surface methodology. Int J Adv Manuf Technol 71(9–12):2107–2114

    Article  Google Scholar 

  24. Ibraheem HMA, Iqbal A, Hashemipour M (2014) Numerical optimization of hole making in GFRP composite using abrasive water jet machining process. J Chin Inst Eng 38(1):66–76

    Article  CAS  Google Scholar 

  25. Babu MN, Muthukrishnan N (2017) Exploration on Kerf-angle and Surface Roughness in Abrasive Waterjet Machining using Response Surface Method. J Instit Engineers (India): Series C. https://doi.org/10.1007/s40032-017-0366-x

  26. Jagadeesh B, Dinesh Babu P, Nalla Mohamed M, Marimuthu P (2017) Experimental investigation and optimization of abrasive water jet cutting parameters for the improvement of cut quality in carbon fiber reinforced plastic laminates. J Ind Text 48(1):178–200

    Article  CAS  Google Scholar 

  27. Kumar A, Singh H, Kumar V (2017) Study the parametric effect of abrasive water jet machining on surface roughness of Inconel 718 using RSM-BBD techniques. Mater Manuf Process 33(13):1483–1490

    Article  CAS  Google Scholar 

  28. MM IW, Azmi A, Lee C, Mansor A (2016) Kerf taper and delamination damage minimization of FRP hybrid composites under abrasive water-jet machining. Int J Adv Manuf Technol 94(5–8):1727–1744

    Google Scholar 

  29. Bijeta Nayak B, Abhishek K, Sankar Mahapatra S, Das D (2018) Application of WPCA based Taguchi method for multi-response optimization of abrasive jet machining process. Mater Today: Proc 5(2):5138–5144

    Google Scholar 

  30. Nanda BK, Dhupal D, Buda D, Das SR, S.R. (2018) Abrasive jet Drilling of Alumina Ceramic with pressurized-fluidized bed setup. Mater Today: Proc 5(2):12570–12578

    CAS  Google Scholar 

  31. Yuvaraj N, Pradeep Kumar M (2014) Multiresponse optimization of abrasive water jet cutting process parameters using TOPSIS approach. Mater Manuf Process 30(7):882–889

    Article  CAS  Google Scholar 

  32. Radovanović M (2016) Multi-objective optimization of process performances when cutting carbon steel with abrasive water jet. Tribol Ind 38(4):454–462

    Google Scholar 

  33. Rao VDP, Mrudula M, Geethika VN (2019) Multi-objective Optimization of Parameters in Abrasive Water Jet Machining of Carbon-Glass Fibre-Reinforced Hybrid Composites. J Instit Engineers (India): Series D. https://doi.org/10.1007/s40033-019-00181-6

  34. Nanda BK, Mishra A, Dhupal D (2016) Fluidized bed abrasive jet machining (FB-AJM) of K-99 alumina ceramic using SiC abrasives. Int J Adv Manuf Technol 90(9–12):3655–3672

    Google Scholar 

  35. Aich U, Banerjee S, Bandyopadhyay A, Das PK (2014) Multi-objective optimisation of abrasive water jet machining responses by simulated annealing and particle swarm. Int J Mechatron Manuf Syst 7(1):38

    Google Scholar 

  36. Wakuda M, Yamauchi Y, Kanzaki S (2002) Effect of workpiece properties on machinability in abrasive jet machining of ceramic materials. Precis Eng 26(2):193–198

    Article  Google Scholar 

  37. Seo YW, Ramulu M, Kim D (2003) Machinability of titanium alloy (Ti’6Al’4V) by abrasive waterjets. Proc Inst Mech Eng B J Eng Manuf 217(12):1709–1721

    Article  CAS  Google Scholar 

  38. Uthayakumar M, Khan MA, Kumaran ST, Slota A, Zajac J (2015) Machinability of nickel-based Superalloy by abrasive water jet machining. Mater Manuf Process 31(13):1733–1739

    Article  CAS  Google Scholar 

  39. Unde PD, Gayakwad MD, Patil NG, Pawade RS, Thakur DG, Brahmankar PK (2015) Experimental investigations into abrasive Waterjet machining of carbon Fiber reinforced plastic. J Composites 2015:1–9

    Article  CAS  Google Scholar 

  40. Klichova D, Klich J (2016) Study of the effect of material machinability on quality of surface created by abrasive water jet. Procedia Eng 149:177–182

    Article  CAS  Google Scholar 

  41. Prasad SR, Ravindranath K, Devakumar MLS (2018) Experimental investigation and parametric optimization in abrasive jet machining on nickel 233 alloy using WASPAS and MOORA. Cogent Eng 5(1):1–12

    Article  Google Scholar 

  42. Tomy, A., & Hiremath, S. S. (2019). Machinability and characterisation of machined hole on quartz using developed μ-AJM set-up. Adv Mater Process Tech, 1–16. https://doi.org/10.1080/2374068x.2018.1564868

  43. Madhu S, Balasubramanian M (2018) Impact of nozzle design on surface roughness of abrasive jet machined glass fibre reinforced polymer composites. Silicon 10:2453–2462

    Article  CAS  Google Scholar 

  44. Jagannatha N, Somashekhar SH, Sadashivappa K, Arun KV (2012) Machining of soda lime glass using abrasive hot air jet: an experimental study. Mach Sci Technol 16(3):459–472

    Article  CAS  Google Scholar 

  45. Wang Z, Li HN, Yu TB, Chen H, Zhao J (2019) On the predictive modelling of machined surface topography in abrasive air jet polishing of quartz glass. Int J Mech Sci 152:1–18

    Article  CAS  Google Scholar 

  46. Balamurugan K, Uthayakumar M, Ramakrishna M, Pillai UTS (2019) Air jet Erosion studies on mg/SiC composite. Silicon 12:413–423

    Article  CAS  Google Scholar 

  47. Costa NR, Lourenço J, Pereira ZL (2011) Desirability function approach: A review and performance evaluation in adverse conditions. Chemom Intell Lab Syst 107(2):234–244

    Article  CAS  Google Scholar 

  48. Ohlsson L (1995) The theory and practice of abrasive water jet cutting. Luleå University of Technology, Sweden

    Google Scholar 

  49. Patel D, Tandon P (2015) Experimental investigations of thermally enhanced abrasive water jet machining of hard-to-machine metals. CIRP J Manuf Sci Technol 10:92–101

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by Research Promotion Scheme for Research Centres under National Doctoral Fellowship of AICTE, India via. Reference no. 8-32/RIFD/RPS-NDF/Policy-1/2018-19.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sudhansu Ranjan Das.

Ethics declarations

Conflicting of Interest

The authors declare that they have no conflicting of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pradhan, S., Das, S.R. & Dhupal, D. Performance Evaluation of Recently Developed New Process HAJM during Machining Hardstone Quartz Using Hot Silicon Carbide Abrasives: an Experimental Investigation and Sustainability Assessment. Silicon 13, 2895–2919 (2021). https://doi.org/10.1007/s12633-020-00641-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12633-020-00641-9

Keywords

Navigation