Residual stress, fatigue, and surface roughness data for SLM-printed MS1 steel

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Authors: Tomáš Bakša, Ivana Zetková, Karel Trojan, Jiří Čapek, Nikolaj Ganev, Simona Svozilova, Jiří Sika, Miloslav Kepka Jr., Kateřina Aubrechtová Dragounová
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Abstract

This dataset contains experimental data generated within a project focused on the optimization of Selective Laser Melting (SLM) process parameters for maraging tool steel MS1 in order to minimize tensile residual stresses directly during manufacturing, without the need for subsequent heat treatment and with a positive impact on fatigue performance. The dataset includes residual stress measurements (X-ray diffraction and hole-drilling method), fatigue testing data, and surface roughness measurements (Ra, Rz, Sa, Sz). Data are provided for specimens produced using both standard process parameters and an optimized parameter set (SP120). The data support validation of an optimized 3D printing strategy and are intended for further research and potential industrial application.

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Surface Treatment and Residual Stress Additive Manufacturing and 3D Printing Technologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Language
CS
Document type
Dataset