81
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Fatigue analysis of SAE8620: Synergistic effect of thermal treatments and surface roughness

ORCID Icon, , , , &
Pages 2042-2058 | Accepted 23 Nov 2022, Published online: 08 Dec 2022

References

  • Kumar NS, Shetty A, Shetty A, et al. Effect of spindle speed and feed rate on surface roughness of carbon steels in CNC turning. Procedia Eng. 2012;38(Icmoc):691–697.
  • Maurya RK, Niranjan MS. An experimental analysis of process parameters for EN-36C alloy steel using CNC lathe - a review. Mater Today Proc. 2019;25(xxxx):773–777.
  • Coban H, Koklu U, “Drilling of AZ31 magnesium alloy under dry and cryogenic conditions”. 2022; no. (June):7–13. doi: 10.5281/zenodo.7107296.
  • Koklu H, Kayhanlar U. An experimental investigation on machinability of AZ31B magnesium alloy under dry and dipped cryogenic approaches. J Mater Eng Perform. 2022;31(2):1285–1296.
  • Akgün M, Kara F, Trzepieciński T. Analysis and optimization of cutting tool coating effects on surface roughness and cutting forces on turning of AA 6061 alloy. Adv Mater Sci Eng. 2021;2021:1–12.
  • Nas E, Özbek O, Bayraktar F, et al. Experimental and statistical investigation of machinability of AISI D2 steel using electroerosion machining method in different machining parameters. Adv Mater Sci Eng. 2021;2021:1–17.
  • Özbek NA, Özbek O, Kara F. Statistical analysis of the effect of the cutting tool coating type on sustainable machining parameters. J Mater Eng Perform. 2021;30(10):7783–7795.
  • Özerkan HB, “Theoretical investigation of the effect of surface roughness on the fatigue life of austenitic stainless steels,” 2019. [Online]. Available: www.sciencedirect.comwww.materialstoday.com/proceedings2214-7853
  • Quan F, Chen Z, Ye H, et al. Study of the effect of surface roughness on fatigue strength of GH4169 based on indirect evaluation of the notch root radius. Int J Fatigue. 2021 Nov;152:106440.
  • Xu X, Wang Z, Gao G, et al. The effect of microstructure evolution on the ratcheting-fatigue interaction of carbide-free bainite rail steels under different heat-treatment conditions. Int J Fatigue. 2022;160:106872. DOI:10.1016/j.ijfatigue.2022.106872 no. March.
  • Xia B, Wang B, Zhang P, et al. Improving the high-cycle fatigue life of a high-strength spring steel for automobiles by suitable shot peening and heat treatment. Int J Fatigue. 2022;161: 106891 no. March .doi: 10.1016/j.ijfatigue.2022.106891
  • Xiao J, Zheng YQ, Xiao T, et al. Effect of heat treatment on fatigue crack growth behavior of 316NG austenitic stainless steel in deaerated water at 325 °C. J Nucl Mater. 2021;557:153298.
  • Nezhadfar PD, Shrestha R, Phan N, et al. Fatigue behavior of additively manufactured 17-4 PH stainless steel: synergistic effects of surface roughness and heat treatment. Int J Fatigue. 2019;124:188–204.
  • Hultgren G, Mansour R, Barsoum Z, et al. Fatigue probability model for AWJ-cut steel including surface roughness and residual stress. J Constr Steel Res. 2021;179:106537.
  • Mishra D, Prasad RS, Kumar S. ANFIS model to predict effect of tool pin length and position on tensile strength of friction stir welded joint. Weld Int. 2021;35(1–3):24–33.
  • Mishra D, Prasad RS, Zubair M, et al. An ANFIS model for study of surface roughness for metallic materials on optimized machining parameters. 2020;74(5):106–134. [Online]. Available: https://www.arcticjournal.org/ARCTICJournal/index.php/archive/part/74/5/1/?currentVol=74¤tissue=5
  • Radha Krishnan B, Ramesh M. Optimization of machining process parameters in CNC turning process of IS2062 E250 Steel using coated carbide cutting tool. Mater Today Proc. 2020;21(xxxx):346–350.
  • Mishra D, Prasad RS, Zubair M, et al. An ANFIS model for study of surface roughness for metallic materials on optimized machining parameters. Arctic Journal. 2020 November;74(5): 106–134. . https://www.arcticjournal.org/ARCTICJournal/index.php/archive/part/74/5/1/?currentVol=74¤tissue=5
  • ISO 1143: Metallic materials — rotating bar bending fatigue testing. ISO 1143:2021(E), 2021. [Online]. Available: https://cdn.standards.iteh.ai/samples/79575/71ce80272d3a4ce4920ea96f0a7894df/ISO-1143-2021.pdf
  • Ross PJ. Taguchi techniques for quality engineering. 2nded. New York City: McGraw-Hill; 2017.
  • Kashyap S, Banik T, Sahachar Reddy T. Comparative study and modelling of machinability characteristics of single and double tempered AISI H13 steel during hard part finish turning using brazed tungsten carbide tip. Mater Today Proc. 2020;26(xxxx):1430–1438.
  • Nagaraju N, Surya Prakash R, Venkata Ajay Kumar G, et al. Optimization of electrical discharge machining process parameters for 17-7 PH stainless steel by using Taguchi technique. Mater Today Proc. 2020;24:1541–1551.
  • Sarikaya M, Güllü A. Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25. J Clean Prod. 2015;91:347–357.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.