Numerical prediction of surface roughness of as-built electron beam melting parts: experimental data
Description
The file Roughness.xlsx contains the roughness values measured on a Ti6Al4V sample made by Electron Beam Melting (EBM). The measurements have been used to validate a finite element model of the EBM process for predicting build quality such as the surface roughness and the lack of fusion. These measurements were collected and indexed as follows: the first number (from 1 to 4) indicates the index of the surface; the second number (from 1 to 3) specifies the measure replica.
Files
Steps to reproduce
The experiment consisted of producing a parallelepiped sample with a cross-section 10x10mm2 and height 20mm. The sample has been produced using standard Ti6Al4V Arcam powder (average size 75 μm) and using an Arcam A2X. The sample was attached to the building platform, and Arcam standard process parameters (EBM control 5.2) were used to build the sample. After the production, the sample was gently cleaned from loose powder by blasting using the Ti6Al4V powder. Then, the sample was manually removed from the start plate. The surface roughness profiles of the sample were acquired using an RTP-80 profilometer, equipped with a TL90 drive unit. The cut-off length and sampling length were chosen according to ISO 4288:1997. The roughness profiles were measured along the building direction for each lateral face. The measure on the surface has been replicated three times, and the first profile was acquired along the centerline of the surface, while the other two were equally spaced from the first one and from the edges of the sample. For each measurement, the parameters Ra, Rq, Rz, Rt, Rmax and the surface profiles were collected. The profiles and the acquired roughness descriptors (Ra and Rq) were used to validate a multilayer numerical model of the EBM process. For further details, see: “Finite Element simulation of multilayer electron beam melting for the improvement of build quality”, Authors: Manuela Galati, Oscar Di Mauro, and Luca Iuliano,2020.