Skip to content
2000
  1. Home
  2. A-Z Publications
  3. Current Materials Science
  4. Volume 17, Issue 5
  5. Article
Volume 17, Issue 5
  • ISSN: 2666-1454
  • E-ISSN: 2666-1462

Abstract

Introduction

In this research work, an attempt was made to machine Ti6Al4V nano composites utilizing AlO mixed nano fluid at minimum quantity lubrication condition, in which experiments were designed using the L16 orthogonal array, whereas Material Removal Rate, Surface Roughness, machining force and power were recorded as responses.

Methods

The nano composites were fabricated using the stir casting technique and the nano particles were synthesized using the sol-gel technique. the microstructure revealed that the homogeneous dispersion of particles with dendric arms. Increased cutting speed and feed lead to more tool wear, which in turn causes a decrease in surface quality and an increase in surface roughness.

Results

Larger areas of cut are often the consequence of higher feed rates, which increases the amount of friction between the work piece and the cutting edge. The machining force increases when the feed rate is increased. A higher feed rate produces a large volume of the cut material in a given length of time in addition to having a dynamic impact on the cutting forces.

Conclusion

It also results in a corresponding increase in the typical contact stress at the tool chip interface and in the tool chip contact zone.

© 2024 Bentham Science Publishers
Loading

Article metrics loading...

/content/journals/cms/10.2174/0126661454257973230919062622
2024-01-02
2025-01-19

  • From This Site

    /content/journals/cms/10.2174/0126661454257973230919062622
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. TongX. WangH. DingH. Flexible humidity sensors based on multidimensional titanium dioxide/cellulose nanocrystals composite film.Nanomaterials20221212197010.3390/nano12121970 35745308
     [Google Scholar]
  2. MadenciE. ÖzkılıçY.O. AksoyluC. Experimental and analytical investigation of flexural behavior of carbon nanotube reinforced textile based composites.Materials2023166222210.3390/ma16062222 36984100
     [Google Scholar]
  3. RanjithR. GiridharanP.K. DevarajJ. BharathV. Influence of titanium-coated (B4Cp + SiCp) particles on sulphide stress corrosion and wear behaviour of AA7050 hybrid composites (for MLG link).J Aust Ceram Soc20175321017102510.1007/s41779‑017‑0119‑6
     [Google Scholar]
  4. ZhangY.W. DingH.X. SheG.L. TounsiA. Wave propagation of CNTRC beams resting on elastic foundation based on various higher-order beam theories.Geomech. Eng.2023334381
     [Google Scholar]
  5. DasL. NayakR. SaxenaK.K. Determination of optimum machining parameters for face milling process of Ti6A14V metal matrix composite.Materials 20221514476510.3390/ma15144765 35888232
     [Google Scholar]
  6. XiaL. WangR. ChenG. AsemiK. TounsiA. The finite element method for dynamics of FG porous truncated conical panels reinforced with graphene platelets based on the 3-D elasticity.Adv. Nano Res.2023144375389
     [Google Scholar]
  7. OmarN.A.S. IrmawatiR. FenY.W. Surface refractive index sensor based on titanium dioxide composite thin film for detection of cadmium ions.Measurement202218711028710.1016/j.measurement.2021.110287
     [Google Scholar]
  8. RanjithR. GiridharanP.K. VelmuruganC. ChinnusamyC. Formation of lubricated tribo layer, grain boundary precipitates, and white spots on titanium-coated graphite–reinforced hybrid composites.J Aust Ceram Soc201955364565510.1007/s41779‑018‑0274‑4
     [Google Scholar]
  9. MangalasseriA.S. MaheshV. MukundaS. PonnusamiS.A. HarursampathD. TounsiA. Vibration based energy harvesting performance of magnetoelectro-elastic beams reinforced with carbon nanotubes.Adv. Nano Res.20231412743
     [Google Scholar]
  10. ArshidE. KhorasaniM. Soleimani-JavidZ. AmirS. TounsiA. Porosity-dependent vibration analysis of FG microplates embedded by polymeric nanocomposite patches considering hygrothermal effect via an innovative plate theory.Eng. Comput.202138Suppl. 540514072
     [Google Scholar]
  11. ZhuY.X. ChenW. TuW.B. GuoY. ChenL. Three-dimensional finite element modeling of rotary-draw bending of copper-titanium composite tube.Int. J. Adv. Manuf. Technol.20201065-62377238910.1007/s00170‑019‑04781‑0
     [Google Scholar]
  12. YadavD.K. DixitN.K. AgarwalD. KhareS.K. Optimization of surface roughness by design of experiment techniques during CNC milling machining.Mater. Today Proc.2022521919192310.1016/j.matpr.2021.11.565
     [Google Scholar]
  13. RanjithR GiridharanP K Experimental investigation on surface hardness and dry sliding wear behaviour of AA7050/B4Cp.HTM 2015193-4
     [Google Scholar]
  14. GargA. AggarwalP. AggarwalY. Machine learning models for predicting the compressive strength of concrete containing nano silica.Comput. Concr.202230133
     [Google Scholar]
  15. DjilaliN. BousahlaA.A. KaciA. SelimM.M. BouradaF. Large cylindrical deflection analysis of FG carbon nanotube-reinforced plates in thermal environment using a simple integral HSDT.Steel and Compos. Struct.2022426779789
     [Google Scholar]
  16. SharmaR. JhaB.K. PahujaV. A critical review on machining of titanium and its alloy under cryogenic cooling environment.IOP Conf. Series Mater. Sci. Eng.2020998101201310.1088/1757‑899X/998/1/012013
     [Google Scholar]
  17. Bovas Herbert BejaxhinA. BalamuruganG.M. SivagamiS.M. RamkumarK. VijayanV. RajkumarS. Tribological behavior and analysis on surface roughness of CNC milled dual heat treated Al6061 composites.Adv. Mater. Sci. Eng.2021202111410.1155/2021/3844194
     [Google Scholar]
  18. SomuC. RanjithR. GiridharanP.K. RamuM. A novel Cu-Gr composite electrode development for electric discharge machining of Inconel 718 alloy.Surf. Topogr.20219303502510.1088/2051‑672X/ac1f80
     [Google Scholar]
  19. HuangY. KaramiB. ShahsavariD. TounsiA. Static stability analysis of carbon nanotube reinforced polymeric composite doubly curved micro-shell panels.Arch. Civ. Mech. Eng.202121413910.1007/s43452‑021‑00291‑7
     [Google Scholar]
  20. ZerroukiR. KarasA. ZidourM. BousahlaA.A. TounsiA. Effect of nonlinear FG-CNT distribution on mechanical properties of functionally graded nano-composite beam. Structural Engineering and Mechanics.Int. J.2021782117124
     [Google Scholar]
  21. BoseS. NandiT. Statistical and experimental investigation using a novel multi-objective optimization algorithm on a novel titanium hybrid composite developed by lens process.Proc. Inst. Mech. Eng., C J. Mech. Eng. Sci.2021235162911293310.1177/0954406220959101
     [Google Scholar]
  22. SaravananK.K. MahendranS. Aluminium 6082-boron carbide composite materials preparation and investigate mechanical-electrical properties with CNC turning.Mater. Today Proc.202021939710.1016/j.matpr.2019.05.368
     [Google Scholar]
  23. HeidariF. TaheriK. SheybaniM. JanghorbanM. TounsiA. On the mechanics of nanocomposites reinforced by wavy/defected/aggregated nanotubes. Steel and Composite Structures.Int. J.2021385533545
     [Google Scholar]
  24. BekkayeTHL FahsiB BousahlaAA BouradaF Tounsi et al. Porosity-dependent mechanical behaviors of FG plate using refined trigonometric shear deformation theory. Computers and Concrete.Int. J.2020265439450
     [Google Scholar]
  25. RanjithR. SomuC. TharanitharanG. NaveenkumarM. Integrated taguchi cum grey relational experimental analysis (GREAT) for optimization and machining characterization of cryogenic cooled AA6063 aluminium alloys.Mater. Today Proc.2019183597360510.1016/j.matpr.2019.07.291
     [Google Scholar]
  26. RamkumarT. SelvakumarM. MohanrajM. ChandrasekarP. Experimental investigation and analysis of drilling parameters of metal matrix (Ti/TiB) composites.J. Braz. Soc. Mech. Sci. Eng.2019411810.1007/s40430‑018‑1507‑8
     [Google Scholar]
  27. AbdelkaderW.B. ArfaH. BahloulR. Finite element analysis of single point incremental forming process of metallic composite sheet: Application to Titanium-steel bimetal sheet forming.International Conference Design and Modeling of Mechanical Systems55866
     [Google Scholar]
  28. QiaoG. ZhangB. BaiQ. GaoY. DuW. ZhangY. Machinability of TiC-reinforced titanium matrix composites fabricated by additive manufacturing.J. Manuf. Process.20227641241810.1016/j.jmapro.2022.02.033
     [Google Scholar]
  29. AlagarsamyG. KathiresanM. Effect of hardness and CNC milling roughness behaviour of A6061 aluminium alloy reinforced with TiC metal matrix composite.Int J Rapid Manuf20198321022010.1504/IJRAPIDM.2019.100500
     [Google Scholar]
  30. KumarR. JainA. MishraS.K. JoshiM. SinghK. JainR. Comparative structural analysis of CNC milling machine bed using Al-SIC/graphite, al alloy and Al-SIC composite material.Mater. Today Proc.20225173574110.1016/j.matpr.2021.06.219
     [Google Scholar]
  31. SzpunarM. OstrowskiR. TrzepiecińskiT. KaščákĽ. Central composite design optimisation in single point incremental forming of truncated cones from commercially pure titanium grade 2 sheet metals.Materials20211413363410.3390/ma14133634 34209927
     [Google Scholar]
  32. MohanavelV. VairamuthuJ. Ramesh KannanC. CNC Machining parameters optimization of AA7050 with reinforcement of ZrO 2 composites.IOP Conf. Series Mater. Sci. Eng.2020988101212010.1088/1757‑899X/988/1/012120
     [Google Scholar]
  33. K S, J FX, M PS. Optimization of SiC abrasive parameters on machining of Ti-6Al-4V alloy in AJM using Taguchi-Grey relational method.Silicon2022143997100410.1007/s12633‑020‑00918‑z
     [Google Scholar]
  34. JayaramanP. KumarL.M. JayaseelanV. Multi-response optimization of cutting parameters during end-milling of AA6101 T6 aluminium alloy using grey relational analysis.Int. J. Appl. Eng. Res.201510242754286
     [Google Scholar]
/content/journals/cms/10.2174/0126661454257973230919062622
Loading
Machining Performance of Ti6Al4V Nano Composites Processed at Al2O3 Nano Particles Mixed Minimum Quantity Lubrication Condition
Current Materials Science 17, 470 (2024); https://doi.org/10.2174/0126661454257973230919062622
/content/journals/cms/10.2174/0126661454257973230919062622
/content/journals/cms/10.2174/0126661454257973230919062622
Loading

Data & Media loading...


  • Article Type:     Research Article
Keyword(s): ANOVA; machining; MQL; nano composites; Nano particles; titanium alloys

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test