Abstract

To increase the acceptance of direct metal laser sintered Ti6Al4V(Extra Low Interstitial—ELI) in industry, analytical models that can quantitatively describe the interrelationships between the microstructural features, field variables, such as temperature and strain rate, and the mechanical properties are necessary. In the present study, a physical model that articulates the critical microstructural features of grain sizes and dislocation densities for use in predicting the mechanical properties of additively manufactured Ti6Al4V(ELI) was developed. The flow stress curves of different microstructures of the alloy were used to obtain and refine the parameters of the physical model. The average grain size of a microstructure was shown to influence the athermal part of yield stress, while the initial dislocation density in a microstructure was seen to affect the shape of the flow stress curve. The viscous drag effect was also shown to play a critical role in explaining the upturn of flow stress at high strain rates. The microstructure-based constitutive model developed and validated in this article using experimental data showed good capacity to predict the high strain rate flow properties of additively manufactured Ti6Al4V(ELI) alloy.

Highlights

  • Over the past few years, additive manufacturing (AM) technology has matured from initial usage in production of prototypes to production of full functional components for use in biomedical and aerospace industries [1,2]

  • The volume fraction of β-phase in samples C, D, and E was determined as 3.6%, 6.4%, and 6.6%, respectively, by the method of X-ray diffraction [21]

  • The development, calibration, and validation of a constitutive model that is sensitive to microstructure was presented in this paper, for use in predicting the flow stress of various forms of direct metal laser sintered (DMLS) Ti6Al4V(ELI) at different strain rates and temperatures

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Summary

Introduction

Over the past few years, additive manufacturing (AM) technology has matured from initial usage in production of prototypes to production of full functional components for use in biomedical and aerospace industries [1,2]. Besides the ability of the technology to produce complex and topology optimised parts for use in the aircraft, it improves the buy-to-fly ratio. This is generally the ratio between the mass of raw material needed for production of a given component to the final mass of the manufactured part. The use of traditional manufacturing processes such as machining and forging in manufacturing of large aircraft parts could result to a buy-to-fly ratio in the range of 12:1–25:1, while for AM it is 2:1 [4,5]. A wide range of materials are currently being produced by different AM technologies such as metals and their alloys, polymers, ceramics, and composites [3]

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