Optimization and simulation of SLM process for high density H13 tool steel parts

Petri Laakso, Tuomas Riipinen, Anssi Laukkanen, Tom Andersson, Antero Jokinen, Alejandro Revuelta, Kimmo Ruusuvuori

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    85 Citations (Scopus)


    This paper demonstrates the successful printing and optimization of processing parameters of high-strength H13 tool steel by Selective Laser Melting (SLM). D-Optimal Design of Experiments (DOE) approach is used for parameter optimization of laser power, scanning speed and hatch width. With 50 test samples (1*1*1cm) we establish parameter windows for these three parameters in relation to part density. The calculated numerical model is found to be in good agreement with the density data obtained from the samples using image analysis. A thermomechanical finite element simulation model is constructed of the SLM process and validated by comparing the calculated densities retrieved from the model with the experimentally determined densities. With the simulation tool one can explore the effect of different parameters on density before making any printed samples. Establishing a parameter window provides the user with freedom for parameter selection such as choosing parameters that result in fastest print speed.
    Original languageEnglish
    Title of host publicationPhysics Procedia
    Publication statusPublished - 2016
    MoE publication typeA4 Article in a conference publication
    Event9th International Conference on Photonic Technologies, LANE 2016 - Fürth, Germany
    Duration: 19 Sept 201622 Sept 2016


    Conference9th International Conference on Photonic Technologies, LANE 2016
    Abbreviated titleLANE 2016


    • density, design of experiments
    • finite element
    • H13 tool steel
    • optimization
    • Selective Laser Melting
    • simulation model
    • ProperTune


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