Predicting the tensile strength, impact toughness, and hardness of friction stir-welded AA6061-T6 using response surface methodology

Article


Safeen, Wasif, Hussain, Salman, Wasim, Ahmad, Jahanzaib, Mirza, Aziz, Haris and Abdalla, H. 2016. Predicting the tensile strength, impact toughness, and hardness of friction stir-welded AA6061-T6 using response surface methodology. The International Journal of Advanced Manufacturing Technology. 87 (5-8), pp. 1765-1781. https://doi.org/10.1007/s00170-016-8565-9
AuthorsSafeen, Wasif, Hussain, Salman, Wasim, Ahmad, Jahanzaib, Mirza, Aziz, Haris and Abdalla, H.
Abstract

In this research, an attempt has been made to develop mathematical models for predicting mechanical properties including ultimate tensile strength, impact toughness, and hardness of the friction stir-welded AA6061-T6 joints at 95 % confidence level. Response surface methodology with central composite design having four parameters and five levels has been used. The four parameters considered were tool pin profile, rotational speed, welding speed, and tool tilt angle. Three confirmation tests were performed to validate the empirical relations. In addition, the influence of the process parameters on ultimate tensile strength, impact toughness, and hardness were investigated. The results indicated that tool pin profile is the most significant parameter in terms of mechanical properties; tool with simple cylindrical pin profile produced weld with high ultimate tensile strength, impact toughness, and hardness. In addition to tool pin profile, rotational speed was more significant compared to welding speed for ultimate tensile strength and impact toughness, whereas welding speed showed dominancy over rotational speed in case of hardness. Optimum conditions of process parameters have been found at which tensile strength of 92 %, impact toughness of 87 %, and hardness of 95 % was achieved in comparison to the base metal. This research will contribute to expand the scientific foundation of friction stir welding of aluminum alloys with emphasis on AA6061-T6. The results will aid the practitioners to develop a clear understanding of the influence of process parameters on mechanical properties and will allow the selection of best combinations of parameters to achieve desired mechanical properties.

KeywordsFriction stir welding; Parameters; Response surface methodology; Tensile strength; Impact toughness; Hardness
JournalThe International Journal of Advanced Manufacturing Technology
Journal citation87 (5-8), pp. 1765-1781
ISSN1433-3015
0268-3768
Year2016
PublisherSpringer Verlag
Accepted author manuscript
Digital Object Identifier (DOI)https://doi.org/10.1007/s00170-016-8565-9
Publication dates
Print12 Mar 2016
Publication process dates
Deposited17 Jan 2017
Accepted29 Feb 2016
Copyright informationThe final publication is available at Springer via http://dx.doi.org/10.1007/s00170-016-8565-9
Permalink -

https://repository.uel.ac.uk/item/851yv

Download files

  • 246
    total views
  • 1406
    total downloads
  • 6
    views this month
  • 27
    downloads this month

Export as

Related outputs

Application of Blockchain Based e-Procurement Solution for Mitigating Corruption in Smart Cities Using Digital Identities
Siddiqui, A., Tansen, K. and Abdalla, H. 2023. Application of Blockchain Based e-Procurement Solution for Mitigating Corruption in Smart Cities Using Digital Identities. IFIPIoT 2023: 6th IFIP International Internet of Things Conference. Dallas-Fort Worth Metroplex, Texas (USA) 02 - 03 Nov 2023 Springer. https://doi.org/10.1007/978-3-031-45882-8_7
Blockchain Based Framework for Enhancing Cybersecurity and Privacy in Procurement
Siddiqui, A., Tansen, K. and Abdalla, H. 2023. Blockchain Based Framework for Enhancing Cybersecurity and Privacy in Procurement. IFIPIoT 2023: 6th IFIP International Internet of Things Conference. Dallas-Fort Worth Metroplex, Texas (USA) 02 - 03 Nov 2023 Springer. https://doi.org/10.1007/978-3-031-45882-8_8
Fractals for the Sustainable Design of Engineered Particulate Systems
Assadi Langroudi, A., Abdalla, H. and Ghadr, S. 2022. Fractals for the Sustainable Design of Engineered Particulate Systems. Sustainability. 14 (Art. 7287). https://doi.org/10.3390/su14127287
Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions
Neufville, R., Abdalla, H. and Abbas, A. 2022. Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions. Sustainability. 14 (Art. 6910). https://doi.org/10.3390/su14116910
A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images
Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941615
A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis
van Druten, Jacqueline, Sharif, M., Khashu, Minesh and Abdalla, H. 2019. A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis. in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 101-106
Neural Predictors of Gait Stability When Walking Freely in the Real-World.
Pizzamiglio, S., Abdalla, H., Naeem, U. and Turner, D. 2018. Neural Predictors of Gait Stability When Walking Freely in the Real-World. Journal of NeuroEngineering and Rehabilitation. 15 (11). https://doi.org/10.1186/s12984-018-0357-z
Energy Saving of the Domestic Housing Stocks: Application Development as a Plug-In for Energy Simulation Software
Shi, W., Abdalla, H., Elsharkawy, Heba and Chandler, A. 2017. Energy Saving of the Domestic Housing Stocks: Application Development as a Plug-In for Energy Simulation Software. International Journal of Parallel, Emergent and Distributed Systems. 32 (Sup 1), pp. S114-S132. https://doi.org/10.1080/17445760.2017.1390104
Investigation Into ERP-Based Symbiotic Simulation Project Implentation On Ford Engine Production Line: Challenges, Opportunities and Prospects
Chiroma, Emmanuel, Ladbrook, John and Abdalla, H. 2016. Investigation Into ERP-Based Symbiotic Simulation Project Implentation On Ford Engine Production Line: Challenges, Opportunities and Prospects. in: Bruzzone, Agostino G., De Felice, Fabio, Frydman, Claudia, Massei, Marina, Merkuryev, Yuri and Solis, Adriano (ed.) Proceedings of the International Conference on Modelling and Applied Simulation 2016 DIME Università Di Genova. pp. 57-64
Neural correlates of single- and dual-task walking in the real world
Pizzamiglio, Sara, Naeem, U., Abdalla, H. and Turner, D. 2017. Neural correlates of single- and dual-task walking in the real world. Frontiers in Human Neuroscience. 11, p. Art 460. https://doi.org/10.3389/fnhum.2017.00460
A Cost Effective and Light Weight Unipolar Electroadhesion Pad Technology for Adhesion Mechanism of Wall Climbing Robot
Yehya, Muhammd Irshad, Hussain, Salman, Wasim, Ahmad, Jahanza, Mirza and Abdalla, H. 2016. A Cost Effective and Light Weight Unipolar Electroadhesion Pad Technology for Adhesion Mechanism of Wall Climbing Robot. International Journal of Robotics and Mechatronics. 2 (1), pp. 1-10.
An investigation into energy consumption behaviour and lifestyles in UK homes: Developing a smart application as a tool for reducing home energy use
Shi, W., Elsharkawy, H. and Abdalla, H. 2017. An investigation into energy consumption behaviour and lifestyles in UK homes: Developing a smart application as a tool for reducing home energy use. PLEA 2017: 33rd International Conference on Passive and Low Energy Architecture. Edinburgh, UK 03 - 05 Jul 2017 NCEUB.
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297