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Enhancing mechanical and damping performance of 3D-printed aluminium-7075 with shape memory high-entropy alloy (SMHEA): parametric optimization and mathematical modeling

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Abstract

In this study, we examined the applicability of a response surface approach in the experimental design, parametric optimization, and formulation of predictive models in the 3D printing of aluminium-7075/Ti48Zr20Hf15Al10Nb7 shape memory high-entropy alloy (SMHEA) composite. The input variables consist of the SMHEA dosage (A), laser power (B), and powder flow rate (C), which vary from 2 to 8 wt%, 400 to 800 W, and 1.44 to 7.2 g/min, respectively. In the meantime, the yield strength, tensile ductility and modulus, hardness, damping capacity, and loss modulus were examined. The ANOVA results indicated that the input variables A, B, and C had significant effects on the responses, resulting in mathematical models with a high degree of fitness that adequately represented the experimental outcomes. Optimal parametric optimization was achieved at 6.4 wt%, 388 watts, and 3.6 g/min with a desirability of 0.916%. Comparing the predicted responses to the validation results under optimal conditions revealed a deviation < ± 5%, validating the models’ potency to predict the responses. Thus, optimal parametric conditions for the development of a 3D-printed aluminum-7075/Ti48Zr20Hf15Al10Nb7 composite were confirmed to be adequate.

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Authors and Affiliations

  1. Department of Metallurgical and Materials Engineering, Federal University of Technology, Akure, Ondo State, Nigeria

    Abayomi Adewale Akinwande

  2. Center for Functional Nano-Ceramics, National University of Science and Technology, “MISIS”, Lenin Av., 4, 119049, Moscow, Russia

    Dmitry Moskovskikh & Valentin Romanovski

  3. Research Laboratory of Scanning Probe Microscopy, Moscow Polytechnic University, B. Semenovskaya St, 107023, Moscow, Russia

    Dmitry Moskovskikh

  4. Department of Materials Science and Engineering, University of Virginia, Charlottesville, VA, 22904, USA

    Valentin Romanovski

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  1. Abayomi Adewale Akinwande
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A. A. A.: conceptualization, methodology, writing-original draft, editing. D. M.: methodology, investigation. V. R.: conceptualization, methodology, supervision.

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Correspondence to Abayomi Adewale Akinwande.

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Akinwande, A.A., Moskovskikh, D. & Romanovski, V. Enhancing mechanical and damping performance of 3D-printed aluminium-7075 with shape memory high-entropy alloy (SMHEA): parametric optimization and mathematical modeling. Int J Adv Manuf Technol 130, 369–383 (2024). https://doi.org/10.1007/s00170-023-12651-z

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