Abstract

Additive Manufacturing (AM) surfaces are composed by different textures and high roughness values which tend to limit its functionalities. Laser polishing process is enabling to smooth surfaces by material melting, change surface texture and decrease surface roughness (Sa). Based on a five axes machine, which consist of milling and Laser Metal Deposition (LMD) processes, the machine is additionally integrating laser polishing process on the same architecture. This paper aims at study laser polishing of laser metal deposition of titanium surfaces. LMD of titanium surfaces are composed by chaotic texture directly induced by the physical phenomenon of the process in use. Laser polishing process (LP) has an impact on the final surface regarding a multi-scale approach. The determined operating parameters and path strategy of laser polishing process decreases surface roughness by 78% and allow smoothing the initial chaotic texture. A polished surface roughness of 6.01 μm was obtained from an initial of 27.6μm.

Highlights

  • Additive Manufacturing (AM) technology allows creating several simple and complex forms of objects, for many different applications

  • This paper aims at study the laser polishing of thin Laser Metal deposition (LMD) titanium surfaces regarding multi scale and micro cracks analysis

  • Compared to the 316L surfaces, the LMD titanium surfaces are composed by different textures (Figure 3)

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Summary

Introduction

Additive Manufacturing (AM) technology allows creating several simple and complex forms of objects, for many different applications. Many researchers and industries applies AM with different classes of materials such as metal [1], sand [2], glass [3], ceramics [4], polymers [5], wood [6], concrete [7], food [8] and bioprinting [9 and 10] for example. For all these materials, the process is the same. The numerical model of the desired object is obtained through CAD (Computer Aided Design) software and is transferred to CAM (Computer Aided Manufacturing) software for creating spatial manufacturing trajectories that will be apply to the machine.

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