Skip to main content
Log in

Multi-objective optimization on abrasive water jet machining of epoxy/glass fiber/ grinding wheel particle composite through hybrid optimization technique

  • Original Paper
  • Published:
Multiscale and Multidisciplinary Modeling, Experiments and Design Aims and scope Submit manuscript

Abstract

The prime objective of the study is to optimize the Abrasive Water Jet Machining (AWJM) parameters through a hybrid optimization technique. Surface quality and dimensional accuracy are the two important factors considered while machining a material in view of attaining a quality outcome. The present research aims to find an ideal parameter combination for machining Grinding Wheel Particle (GWP) filled polymer composite through AWJM. A novel Glass Fiber Reinforced Polymer (GFRP) composite is developed with GWP as filler material. The influence of GWP reinforcement along with transverse speed (TS), stand-off distance (SOD) and pump pressure (PP) over surface roughness and kerf angle is analysed with the aid of Taguchi methodology. As the Taguchi methodology suggests different optimal solutions for each output parameter considered, the input constraints were optimized through Principal Component Analysis (PCA)—Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology for getting the sole optimal combination. Filler material significantly affects the machining outcome, viz., surface roughness and kerf angle whereas standoff distance plays a major role in deciding the machining outcome. The suggested optimal parameters are 2 wt% GWP, 30 mm/min TS, 1 mm SOD and 240 bar PP, yielding better surface quality (3.424 µm) and minimal kerf angle (0.2564 deg).

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

All the data associated with the presented research can be shared upon request.

References

  • Ali, N.H., Shihab, S.K., Mohamed, M.T., 2023. Influence of ceramic particles additives on the mechanical properties and machinability of carbon fiber/polymer composites. Silicon 1–18.

  • Altin Karataş M, Motorcu AR, Gökkaya H (2021) Study on delamination factor and surface roughness in abrasive water jet drilling of carbon fiber-reinforced polymer composites with different fiber orientation angles. J Brazilian Soc Mech Sci Eng 43:1–29

    Article  Google Scholar 

  • Arun, A., Rajkumar, K., Vishal, K., 2023. Process Parameters for Optimization in Abrasive Water Jet Machining (AWJM) of Silicon-Filled Epoxy Glass Fibre Polymer Composites. J. Inorg. Organomet. Polym. Mater. 1–18.

  • Arunkumar, K., Gopal, P.M., Kavimani, V., 2021. Influence of basalt and graphene fillers and their hybridization on surface quality during AWJM process. Mater. Manuf. Process.

  • Asyraf MRM, Ishak MR, Sapuan SM, Yidris N (2021) Comparison of static and long-term creep behaviors between balau wood and glass fiber reinforced polymer composite for cross-arm application. Fibers Polym 22:793–803

    Article  Google Scholar 

  • Balamurugan K, Uthayakumar M, Sankar S, Hareesh US, Warrier KGK (2019) Predicting correlations in abrasive waterjet cutting parameters of Lanthanum phosphate/Yttria composite by response surface methodology. Measurement 131:309–318

    Article  Google Scholar 

  • Chithirai Pon Selvan, M., Mohana Sundara Raju, N., Sachidananda, H.K., 2012. Effects of process parameters on surface roughness in abrasive waterjet cutting of aluminium. Front. Mech. Eng. 7, 439–444

  • Eaben Rajkumar S, Palanikumar K, Pitchandi K, Latha B (2020) Subsurface integrity studies on the drilling of Al/B4C/mica hybrid metal matrix composites. Mater Manuf Process 35:52–60

    Article  Google Scholar 

  • Gnanavelbabu A, Rajkumar K, Saravanan P (2018) Investigation on the cutting quality characteristics of abrasive water jet machining of AA6061-B4C-hBN hybrid metal matrix composites. Mater Manuf Process 33:1313–1323

    Article  Google Scholar 

  • Gopal PM, Prakash KS (2018) Minimization of cutting force, temperature and surface roughness through GRA, TOPSIS and Taguchi techniques in end milling of Mg hybrid MMC. Measurement 116:178–192

    Article  Google Scholar 

  • Gopal R, Thirunavukkarasu K, Kavimani V, Gopal PM (2021) Measurement and multi-response optimization of spark erosion machining parameters for titanium alloy using hybrid taguchi-grey relational analysis-principal component analysis approach. J Mater Eng Perform 30:3129–3143

    Article  Google Scholar 

  • Gubencu D-V, Opriș C, Han A-A (2023) Analysis of kerf quality characteristics of kevlar fiber-reinforced polymers cut by abrasive water jet. Materials (basel) 16:2182

    Article  Google Scholar 

  • Gupta V, Pandey PM, Garg MP, Khanna R, Batra NK (2014) Minimization of kerf taper angle and kerf width using Taguchi’s method in abrasive water jet machining of marble. Procedia Mater Sci 6:140–149

    Article  Google Scholar 

  • Hascalik A, Çaydaş U, Gürün H (2007) Effect of traverse speed on abrasive waterjet machining of Ti–6Al–4V alloy. Mater Des 28:1953–1957

    Article  Google Scholar 

  • Jani SP, Kumar AS, Khan MA, Jose AS (2021) Design and optimization of unit production cost for AWJ process on machining hybrid natural fibre composite material. Int J Light Mater Manuf 4:491–497

    Google Scholar 

  • Kalirasu S, Rajini N, Rajesh S, Jappes JTW, Karuppasamy K (2017) AWJM Performance of jute/polyester composite using MOORA and analytical models. Mater Manuf Process 32:1730–1739

    Article  Google Scholar 

  • Kalirasu S, Rajini N, Rajesh S, Seingchin S, Ramaswamy SN (2018) AWJ machinability performance of CS/UPR composites with the effect of chemical treatment. Mater Manuf Process 33:452–461

    Article  Google Scholar 

  • Kavimani V, Gopal PM, Sumesh KR, Kumar NV (2020a) Multi response optimization on machinability of SiC waste fillers reinforced polymer matrix composite using taguchi’s coupled grey relational analysis. SILICON. https://doi.org/10.1007/s12633-020-00782-x

    Article  Google Scholar 

  • Kavimani V, Prakash KS, Thankachan T, Nagaraja S, Jeevanantham AK, Jhon JP (2020b) WEDM parameter optimization for silicon@r-GO/magneisum composite using taguchi based GRA coupled PCA. SILICON 12:1161–1175. https://doi.org/10.1007/s12633-019-00205-6

    Article  Google Scholar 

  • Kavimani V, Gopal PM, Sumesh KR, Kumar NV (2022) Multi response optimization on machinability of sic waste fillers reinforced polymer matrix composite using taguchi’s coupled grey relational analysis. SILICON 14:65–73. https://doi.org/10.1007/s12633-020-00782-x

    Article  Google Scholar 

  • Kharwar, P.K., Verma, R.K., 2020. Machining performance optimization in drilling of multiwall carbon nano tube/epoxy nanocomposites using GRA-PCA hybrid approach. Measurement 107701.

  • Kök M, Kanca E, Eyercioğlu Ö (2011) Prediction of surface roughness in abrasive waterjet machining of particle reinforced MMCs using genetic expression programming. Int J Adv Manuf Technol 55:955–968

    Article  Google Scholar 

  • 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  Google Scholar 

  • 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. https://doi.org/10.1007/s12633-018-9777-4

    Article  Google Scholar 

  • Nguyen T-T, Cao L-H, Dang X-P, Nguyen T-A, Trinh Q-H (2019) Multi-objective optimization of the flat burnishing process for energy efficiency and surface characteristics. Mater Manuf Process 34:1888–1901

    Article  Google Scholar 

  • Prasanna R, Kavimani V, Gopal PM, Simson D (2021) Multi-Response optimization and surface integrity characteristics of wire electric discharge machining α-phase Ti-6242 alloy. Process Integr. Optim. Sustain. 1–12.

  • Ramesha N, Akhtar S (2016) Abrasive water jet machining and mechanical behavior of banyan tree saw dust powder loaded polypropylene green composites. Polym Compos 37:1754–1764

    Article  Google Scholar 

  • Selvam R, Arunkumar N, Karunamoorthy L (2021) An investigation on machining characteristics in abrasive water jet machining of hybrid laminated composites with SiC nano particles. Mater Today Proc 39:1701–1709

    Article  Google Scholar 

  • Shanmugam DK, Nguyen T, Wang J (2008) A study of delamination on graphite/epoxy composites in abrasive waterjet machining. Compos Part A Appl Sci Manuf 39:923–929

    Article  Google Scholar 

  • Singh KK, Thakur RK (2022) Experimental analysis on carbon nanotube embedded GFRP composites during AWJM. Mater Manuf Process 37:210–220

    Article  Google Scholar 

  • Tamilarasan A, Renugambal A (2023) An Integrated RSM-Improved salp swarm algorithm for quality characteristics in AWJM of Ananas Comosus-HIPS composites. Int J Light Mater Manuf.

  • Thakur RK, Singh KK (2020) An investigation into the impact of graphene nanoplatelets reinforced with glass fiber reinforced polymer composite on the hole quality using abrasive water jet drilling. Polym Compos.

  • Thakur RK, Singh KK (2023) Evaluation of hole quality to explore the influence of graphene nanoplatelets embedded in epoxy/carbon composite during abrasive water jet drilling. J Manuf Process 85:569–583

    Article  Google Scholar 

  • Tripathi DR, Vachhani KH, Kumari S, Abhishek K (2020) Experimental investigation on material removal rate during abrasive water jet machining of GFRP composites. Mater Today Proc 26:1389–1392

    Article  Google Scholar 

  • Tripathi DR, Vachhani KH, Bandhu D, Kumari S, Kumar VR, Abhishek K (2021) Experimental investigation and optimization of abrasive waterjet machining parameters for GFRP composites using metaphor-less algorithms. Mater Manuf Process 36:803–813

    Article  Google Scholar 

  • Umesh K, Sudarsan G, Krishnaswamy H (2016) Optimization of machining parameters for satisfying the multiple objectives in machining of MMCs. Mater Manuf Process 32:1082–1093

    Google Scholar 

  • Vinayagamoorthy R (2018) A review on the machining of fiber-reinforced polymeric laminates. J Reinf Plast Compos 37:49–59

    Article  Google Scholar 

  • Viswanathan R, Ramesh S, Maniraj S, Subburam V (2020) Measurement and multi-response optimization of turning parameters for magnesium alloy using hybrid combination of taguchi-GRA-PCA technique. Measurement 107800.

  • Vora JJ, Abhishek K, Srinivasan S (2019) Attaining optimized A-TIG welding parameters for carbon steels by advanced parameter-less optimization techniques: with experimental validation. J Brazilian Soc Mech Sci Eng 41:1–19

    Article  Google Scholar 

  • Xian G, Guo R, Li C (2022) Combined effects of sustained bending loading, water immersion and fiber hybrid mode on the mechanical properties of carbon/glass fiber reinforced polymer composite. Compos Struct 281:115060

    Article  Google Scholar 

  • Xiao S, Wang P, Gao H, Soulat D (2019) A study of abrasive waterjet multi-pass cutting on kerf quality of carbon fiber-reinforced plastics. Int J Adv Manuf Technol 105:4527–4537

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

No funding is received to carry out the presented research.

Author information

Authors and Affiliations

Authors

Contributions

PMG have designed the proposed work and conducted the experiment and, VK analyzed and interpret the results. KA contributed to the writing of the manuscript.

Corresponding author

Correspondence to P. M. Gopal.

Ethics declarations

Conflict of interest

The authors declare that they have no financial or non-financial conflict of interest/competing interests.

Ethics approval

Not applicable.

Research involving human participants and/ or animals

Not Applicable.

Consent to participate

All authors agreed with the content and gave their consent to participate.

Consent for publication

All authors gave their consent for publication of the manuscript.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gopal, P.M., Kavimani, V. & Arunkumar, K. Multi-objective optimization on abrasive water jet machining of epoxy/glass fiber/ grinding wheel particle composite through hybrid optimization technique. Multiscale and Multidiscip. Model. Exp. and Des. 6, 697–707 (2023). https://doi.org/10.1007/s41939-023-00177-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41939-023-00177-6

Keywords

Navigation