Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Influence of an Ageing Heat Treatment on the Mechanical Characteristics of Iron-Aluminium Bronze with -Transformation: Modelling and Optimization

Version 1 : Received: 1 November 2023 / Approved: 1 November 2023 / Online: 1 November 2023 (14:48:59 CET)

A peer-reviewed article of this Preprint also exists.

Maximov, J.; Duncheva, G.; Anchev, A.; Dunchev, V.; Todorov, V.; Argirov, Y. Influence of an Ageing Heat Treatment on the Mechanical Characteristics of Iron-Aluminium Bronzes with β-Transformation Obtained via Centrifugal Casting: Modelling and Optimisation. Metals 2023, 13, 1930. Maximov, J.; Duncheva, G.; Anchev, A.; Dunchev, V.; Todorov, V.; Argirov, Y. Influence of an Ageing Heat Treatment on the Mechanical Characteristics of Iron-Aluminium Bronzes with β-Transformation Obtained via Centrifugal Casting: Modelling and Optimisation. Metals 2023, 13, 1930.

Abstract

Aluminium bronzes possess a unique combination of high strength and wear and corrosion resistance in aggressive environments; thus, these alloys find wide application in marine, shipbuilding, aviation, railway, offshore platform applications and other fields. Iron-aluminium bronzes (IABs) are the cheapest and most widely used. When the aluminium content is above 9.4 wt%, IAB is biphasic (i.e. it undergoes -transformation) and can be subjected to all heat-treatment types depending on the desired operating behaviour of the bronze component. This article presents correlations (mathematical models) between the primary mechanical characteristics (yield limit, tensile strength, elongation, hardness and impact toughness) and the ageing temperature and time of quench at 920°C in water Cu-11Al-6Fe bronze, obtained using the centrifugal casting method. The microstructure evolution was evaluated depending on the ageing temperature and time changes. Overall, the research was conducted in three successive inter-related stages: a one-factor-at-a-time study, planned experiment, and optimisations. Four optimisation tasks, which have the greatest importance for practice, were formulated and solved. The defined multiobjective optimisation tasks were solved by searching for the Pareto-optimal solution approach. The decisions were made through a nondominated sorting genetic algorithm (NSGA-II) using QstatLab. The optimisation results were verified experimentally. Additional samples were made for this purpose, quenched at 920°C in water and subjected to subsequent ageing with the optimal values of the governing factors (ageing temperature and time) for the corresponding optimisation task. The comparison of the results for the mechanical characteristics with the theoretical optimisation results presents good agreement.

Keywords

Aluminium bronze with -transformation; Cu-11Al-6Fe bronze; heat treatment; mechanical characteristics; optimisation of heat treatment

Subject

Engineering, Mechanical Engineering

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