Influence of Heating Stage Parameters on the Joint Strength of Rotary Friction Welded AISI 1045 and AISI 304 Steels: A Polynomial Model

Hudiyo Firmanto; Susila Candra; Mochammad Arbi Hadiyat; Yon Haryono

doi:10.4028/p-7v8u54

Paper Titles

Effects of Waste Glass Powder as Pozzolanic Cement Supplementary Material for Structural Elements
p.127

Concept of Elastocaloric Granular Material Made from SMA Wires in Bending
p.135

Preparation of GH3536 Spherical Powder for Addictive Manufacturing by Plasma Spheroidization
p.141

The Performance of Zn-Ni Alloy Coating Electrodeposited from Stabilized Bath
p.149

Influence of Heating Stage Parameters on the Joint Strength of Rotary Friction Welded AISI 1045 and AISI 304 Steels: A Polynomial Model
p.157

Die and Punch Wear Reduction in Stamping Process by Lean Six Sigma Approach
p.165

Development of Tensile Test Specimens for Fused Deposition Modeling
p.175

Effect of Area Type Defect of the First Ring Groove on Damage Tolerance of Piston System during Service
p.183

Research on the Preparation and Application of Chitosan Composite Membrane
p.193

HomeMaterials Science ForumMaterials Science Forum Vol. 1058Influence of Heating Stage Parameters on the Joint...

Influence of Heating Stage Parameters on the Joint Strength of Rotary Friction Welded AISI 1045 and AISI 304 Steels: A Polynomial Model

Abstract:

Rotary friction welding (RFW) result is much affected by heating and joining stage parameters. Heating stage is the period where friction takes place to generate heat at the interface. Parameters that alter the heating are friction pressure, friction time and rotation speed. In this work, experiment of RFW AISI 1045 and AISI 304 under different friction pressure and friction time was carried out. The objective was to investigate the relation between those parameters with the welding strength. The experiments were performed using one-factor-at-a-time (OFAT) strategy. A polynomial model of relation between joint strength with friction pressure and friction time was developed. Welding efficiency of 81.7% from the AISI 304 base metal was attained. Optimum setting friction pressure of under constant friction time was 40 bar, whereas the optimum setting friction time under constant friction pressure was 5 seconds.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Materials Science Forum (Volume 1058)

Pages:

157-163

DOI:

https://doi.org/10.4028/p-7v8u54

Citation:

Cite this paper

Online since:

April 2022

Authors:

Hudiyo Firmanto*, Susila Candra, Mochammad Arbi Hadiyat, Yon Haryono

Keywords:

AISI 1045, AISI 304, Friction Pressure, Friction Time, Polynomial, Rotary Friction Welding

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] G. A. Rao, N. Ramanaiah, Materials Today: Proceedings, Volume 19, Part 2 (2019), pp.902-907.

Google Scholar

[2] M. Azizieh, M. Khamisi, D. J. Lee, E. Y. Yoon, H. S. Kim, Int J Adv Manuf Technol 85 (2016), p.2773–2781.

DOI: 10.1007/s00170-015-8107-x

Google Scholar

[3] J. A. James, R. Sudhish, Procedia Technology 25 (2016), p.1191 – 1198.

Google Scholar

[4] G. I. Khidhir, S. A. Baban, J Mater Res Technol., 8(2) (2019), p.1926 – (1932).

Google Scholar

[5] N. O¨zdemir F. Sarsılmaz, A. Hascalık, Materials and Design 28 (2007), p.301–307.

Google Scholar

[6] S. Ravi1, R. Ramadoss, International Journal for Research in Applied Science & Engineering Technology, Volume 3, Special Issue-I1, (June 2015).

Google Scholar

[7] M. Sahin, Materials and Design, 28(7) (2007), p.2244–2250.

Google Scholar

[8] A. Handa, and V. Chawla, International Journal of Advanced Manufacturing Technology, 75(9–12) (2014), p.1493–1500.

Google Scholar

[9] S. A. A.A Mousavi, and A. R. Kelishami, Welding Journal, 87(7) (2008).

Google Scholar

[10] Y. Belkahla, A. Mazouzi, S. E. I. Lebouachera, A. J. Hassan, M. Fides, P. Hvizdoš, B. Cheniti, D. Miroud International Journal of Advanced Manufacturing Technology, 116(7–8) (2021), p.2285–2298.

DOI: 10.1007/s00170-021-07597-z

Google Scholar

[11] Montgomery, D. C. Design and Analysis of Experiments. 9th edn. (Wiley 2017).

Google Scholar

[12] M. Tanco, E. Viles, M. J. Alvarez, L, Ilzarbe, TQM Journal, 21(6) (2009), p.565–575.

DOI: 10.1108/17542730910995846

Google Scholar

[13] M. Tanco, E. Viles, M. J. Alvarez, L, Ilzarbe, Journal of Applied Statistics, 37(12) (2010), p.1961–(1977).

Google Scholar