1. bookVolume 28 (2022): Issue 2 (June 2022)
Journal Details
License
Format
Journal
eISSN
2353-7779
First Published
30 Mar 2018
Publication timeframe
4 times per year
Languages
English
access type Open Access

Modeling and optimization of friction stir stitching of AISI 201 stainless steel via Box-Behnken design methodology

Published Online: 19 May 2022
Volume & Issue: Volume 28 (2022) - Issue 2 (June 2022)
Page range: 132 - 140
Received: 22 Jun 2021
Accepted: 20 Dec 2021
Journal Details
License
Format
Journal
eISSN
2353-7779
First Published
30 Mar 2018
Publication timeframe
4 times per year
Languages
English
Abstract

The paper investigates the modelling and optimization of the notch-repaired/friction stir stitched AISI 201 stainless steel welds via the use of a non-consumable tool-based repair process. The repair process employs a sequential hopping-stitching approach. This approach involves the application of two intercepted and completely overlapped plunging actions of a probe-less titanium carbide tool to create an effective refilling and repair of the notched zone. Box-Behnken design (BBD) was employed for the experimental planning, modelling, and optimization of the notch-repair process. Tool rotational speed, penetration depth and dwell time of the tool were the studied process parameters while tensile strength was the response variable. A quadratic model was identified as the best model for the notch-repaired welds based on the combination of a low sequential P-value of 0.008216, a high lack of fit P-value of 0.931366, and a close to unity adjusted and predicted R-square values. The process parameter and their interaction effects on the tensile strength of the repaired notch were identified via the ANOVA analysis. Plunge depth (main effect) and interaction effect of tool rotational speed and dwell time had significant influences on the notch-repair process and the resultant tensile strength of the AISI 201 stainless steel. The visual representations of these effects were shown through the 2D elliptical contour and 3D response surface plots. The optimized process parameters were identified as 1215.9795 rpm, 0.40262212 mm, and 5.98706376 s while the resultant notch-repaired joint yielded a tensile strength of 886 MPa, which is close to the predicted value.

Keywords

Aliakbari, S., Ketabchi, M., Mirsalehi, S.E., 2018. Through-thickness friction stir processing; a low-cost technique for fusion welds repair and modification in AA6061 alloy. Journal of Manufacturing Processes, 35, 226-232.10.1016/j.jmapro.2018.08.006 Search in Google Scholar

Azizi, D., Shafaei, S. Z., Noaparast, M., Abdollahi, H., 2012. Modeling and optimization of low-grade Mn bearing ore leaching using response surface methodology and central composite rotatable design. Trans. Nonferrous Met. Soc. China, 22, 2295-2305.10.1016/S1003-6326(11)61463-5 Search in Google Scholar

Derazkola, H.A., Khodabakhshi, F., Gerlich, A.P., 2020. Fabrication of a nanostructured high strength steel tube by friction-forging tubular additive manufacturing (FFTAM) technology. Journal of Manufacturing Processes, 58, 724-735.10.1016/j.jmapro.2020.08.070 Search in Google Scholar

Filho, I.R.S., Junior, D.R.A., Gauss, C., Sandim, M.J.R., Suzuki, P.A., Sandim, H.R.Z., 2019. Austenite reversion in AISI 201 austenitic stainless steel evaluated via in situ synchrotron X-ray diffraction during slow continuous annealing. Materials Science and Engineering A, 755, 267-77.10.1016/j.msea.2019.04.014 Search in Google Scholar

Filho, I.R.S., Sandim, M.J.R., Cohen, R., Nagamine, L.C.C.M., Hoffmann, J., Bolmaro, R.E., Sandim, H.R.Z., 2016. Effects of strain-induced marten-site and its reversion on the magnetic properties of AISI 201 austenitic stainless steel. Journal of Magnetism and Magnetic Materials, 419, 156-165.10.1016/j.jmmm.2016.06.027 Search in Google Scholar

Filho, I.R.S., Zilnyk, K.D., Sandim, M.J.R., Bolmaro, R.E., Sandim, H.R.Z., 2017. Strain partitioning and texture evolution during cold rolling of AISI 201 austenitic stainless steel. Materials Science and Engineering: A, 702, 161-172.10.1016/j.msea.2017.07.010 Search in Google Scholar

Ghelich, R., Jahannama, M. R., Abdizadeh, H., Torknik, F. S., Vaezi, M. R, 2019. Central composite design (CCD)-Response surface methodology (RSM) of effective electrospinning parameters on PVP-B-Hf hybrid nanofibrous composites for synthesis of HfB2-based composite nanofibers, Composites Part B, 166, 527-541.10.1016/j.compositesb.2019.01.094 Search in Google Scholar

Heydari, F., Amadeh, A.A., Ojo, O.O., Hasanniya, M.H., Tamizifar, M., 2019. Microstructure and mechanical properties of autobody steel joined by friction stir spot welding. Sādhanā, 44, 1-1010.1007/s12046-019-1057-5 Search in Google Scholar

Li, B., Shen, Y., 2011. The investigation of abnormal particle-coarsening phenomena in friction stir repair weld of 2219-T6 aluminum alloy. Materials and Design, 32, 3796-3802.10.1016/j.matdes.2011.03.029 Search in Google Scholar

Ojo, O.O., 2019. Multi-Objective Optimization of Friction Stir Spot Welds of Aluminum Alloy Using Entropy Measurement. International Journal of Engineering Research in Africa, 45, 28-41.10.4028/www.scientific.net/JERA.45.28 Search in Google Scholar

Perry, M.E.J., Griffiths, R.J., Garcia, D., Sietins, J.M., Zhu, Y., Yu, H.Z., 2020. Morphological and microstructural investigation of the non-planar interface formed in solid-state metal additive manufacturing by additive friction stir deposition. Additive Manufacturing, 35, 101293.10.1016/j.addma.2020.101293 Search in Google Scholar

Reimann, M., Goebel, J., dos Santos, J.F., 2017. Microstructure and mechanical properties of keyhole repair welds in AA 7075-T651 using refill friction stir spot welding. Materials and Design, 132, 283-294.10.1016/j.matdes.2017.07.013 Search in Google Scholar

Rouzbehani, R., Kokabi, A.H., Sabet, H., Paidar, M., Ojo, O.O., 2018. Metallurgical and mechanical properties of underwater friction stir welds of Al7075 aluminum alloy. Journal of Materials Processing Technology, 262, 239-256.10.1016/j.jmatprotec.2018.06.033 Search in Google Scholar

Soleymani, A.R., Saien, J., Chin, S., Le, H.A., Park, E., Jurng, J., 2015. Modeling and optimization of a sono-assisted photocatalytic water treatment process via central composite design methodology. Process Safety and Environmental Protection, 94, 307-314.10.1016/j.psep.2014.07.004 Search in Google Scholar

Teng, J., Wang, D., Wang, Z., Zhang, X., Li, Y., Cao, J., Xu, W., Yang, F., 2017. Repair of arc welded DH36 joint by underwater friction stitch welding. Materials and Design, 118, 166-278.10.1016/j.matdes.2017.01.016 Search in Google Scholar

Tunç, I.D., Erol, M., Güneş, F., Sütçü, M., 2020. Growth of ZnO nanowires on carbon fibers for photocatalytic degradation of methylene blue aqueous solutions: An investigation on the optimization of processing parameters through response surface methodology/central composite design. Ceramics International, 46, 7459-7474.10.1016/j.ceramint.2019.11.244 Search in Google Scholar

Vahdati, M., Moradi, M., 2020. Statistical Analysis and Optimization of the Yield Strength and Hardness of Surface Composite Al7075/Al2O3 Produced by FSP via RSM and Desirability Approach. Iranian Journal of Materials Forming, 7, 32-45. Search in Google Scholar

Wang, Z., Teng, J., Wang, D., Cui, L., Liu, H., Yang, J., Zhang, Y., Zhu, H., 2019. Observations of repair process by friction stitch welding in simulated wet conditions-Flaws, microstructure and hardness evolutions in overlapping welds. Journal of Materials Processing Technology, 264, 220-233.10.1016/j.jmatprotec.2018.09.013 Search in Google Scholar

Zhang, G., Xiao, C., Ojo, O.O., 2021. Dissimilar friction stir spot welding of AA2024-T3/AA7075-T6 aluminum alloys under different welding parameters and media. Defence Technology, 17, 531-544.10.1016/j.dt.2020.03.008 Search in Google Scholar

Zhang, X., Deng, C., Wang, D., Wang, Z., Teng, J., Cao, J., Xu, W., Yang, F., 2016. Improving bonding quality of underwater friction stitch welds by selecting appropriate plug material and welding parameters and optimizing joint design. Materials and Design, 91, 398-410.10.1016/j.matdes.2015.11.114 Search in Google Scholar

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