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Accelerated Testing Model Prediction of Fatigue Life of AA5083-H111—AA6061-T6 Friction Stir Weldment

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Advances in Manufacturing Processes

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The heat treatable and non-treatable aluminium alloys are extensively used in ship hull and commercial automobiles where required to join the dissimilar materials. These dissimilar materials can be joined by solid-state friction stir welding process. This welding process will enhance joint properties like grain refinement in stir zone which results in increased yield strength and hardness. The above mentioned applications, there will be induced mechanical dynamic force influenced life of joints or fatigue life. Hence, the evaluation of welded joint properties is not only important but also fatigue life prediction is paramount. The present investigation is focused on the joining of dissimilar materials such as AA5083-H111—AA6061-T6 by friction stir welding process with function of traverse speed, rotational speed and axial force. The optimization of welding process parameters was done for tensile strength of the joint. The fatigue life of the joint was predicted with accelerated life model testing (ALT). Anderson–Darling (AD) test was conducted to find the suitable model for distribution of fatigue life data which yield that lognormal was best fit. The relationship between the tensile strength factors to the fatigue behaviour was established through the ALT inverse power law model (IPL). The parameters for the IPL-lognormal distribution were calculated by using maximum likelihood function. The SN curve for this dissimilar joined material was effectively constructed with various percentages of maximum tensile stress and constant compressive stress.

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Rajkumar, K., Gnanavelbabu, A., Nambiraj, K.M. (2019). Accelerated Testing Model Prediction of Fatigue Life of AA5083-H111—AA6061-T6 Friction Stir Weldment. In: Vijay Sekar, K., Gupta, M., Arockiarajan, A. (eds) Advances in Manufacturing Processes. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-1724-8_52

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  • DOI: https://doi.org/10.1007/978-981-13-1724-8_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1723-1

  • Online ISBN: 978-981-13-1724-8

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