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  • 1.
    Cabanettes, Frédéric
    et al.
    Halmstad University, School of Business, Engineering and Science, Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.
    Dimkovski, Zlate
    Halmstad University, School of Business, Engineering and Science, Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.
    Rosén, B.-G.
    Halmstad University, School of Business, Engineering and Science, Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.
    Roughness variations in cylinder liners induced by honing tools’ wear2015In: Precision engineering, ISSN 0141-6359, E-ISSN 1873-2372, Vol. 41, p. 40-46Article in journal (Refereed)
    Abstract [en]

    The manufacturing and finishing (honing) of cylinder liners for the automotive industry is a constant challenge in order to reduce friction losses and oil consumption. A better knowledge of surfaces generated during plateau honing is then required for optimization of the process. Despite a well-known and controlled honing process, variations in surface roughness appear due to honing tool wear and need to be mapped and analyzed. The following paper proposes to map the variations in roughness by using confocal 3D measuring equipment able to inspect any area of a cylinder liner. Six motor blocks, each with five cylinder liners, were evaluated with 20 topography measurements per liner (giving six hundred 3D measurements in total). In addition to standard 3D roughness parameters, tailor made parameters extracting honing texture information are computed. The results show that only a few parameters (Spk, Ssc and Sk) do correlate with the honing tool wear specific to each cylinder. Tailor made parameters indicate similar results. Indeed, as the honing tool wears down, the cylinder liner surface gets rougher plateau or peaks and sharper asperities indicating that ploughing occurs instead of cutting. In future, experimental models could be built in order to perform production and functional optimizations. © 2015 Elsevier Inc. All rights reserved.

  • 2.
    Cabanettes, Frédéric
    et al.
    Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). University of Lyon, ENISE, Laboratoire de Tribologie et Dynamique des Systèmes, Saint-Etienne, France.
    Joubert, A.
    University of Lyon, ENISE, Laboratoire de Tribologie et Dynamique des Systèmes, Saint-Etienne, France.
    Chardon, G.
    University of Lyon, ENISE, Laboratoire de Tribologie et Dynamique des Systèmes, Saint-Etienne, France.
    Dumas, V.
    University of Lyon, ENISE, Laboratoire de Tribologie et Dynamique des Systèmes, Saint-Etienne, France.
    Rech, J.
    University of Lyon, ENISE, Laboratoire de Tribologie et Dynamique des Systèmes, Saint-Etienne, France.
    Grosjean, C.
    Centre Technique des Industries Mécaniques, Saint-Etienne, France.
    Dimkovski, Zlate
    Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).
    Topography of as built surfaces generated in metal additive manufacturing: A multi scale analysis from form to roughness2018In: Precision engineering, ISSN 0141-6359, E-ISSN 1873-2372, Vol. 52, p. 249-265Article in journal (Refereed)
    Abstract [en]

    Topographies are one of the challenges for the development of the metal additive manufacturing promising technique. The article investigates multi scale topographies (from form to roughness) of as built surfaces generated by selective laser melting (SLM). Different building inclinations of samples were observed both for upskin and downskin surfaces with a wide range of measuring techniques. The two main aims are: (i) to make a critical review of measuring techniques at different scales, (ii) to enlighten the different surface generation phenomena (and the corresponding scale) occurring during additive manufacturing. The effect of heat treatment on each scale of the topography is also discussed. It is found that the focus variation technique is well suited for AM surfaces. Concerning the observation of the inclined surfaces, some parameters are emphasized as good indicators of typical signatures of AM surfaces: isotropy for the weld track component, the skewness and Rsm for the staircase effect, fractal dimension for the presence of partly melted particles. The different parameters studied helps to model and understand the different surface generation phenomena aforementioned. © 2018 Elsevier Inc.

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