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    <title>Hardness</title>
    <link>https://popups.uliege.be/esaform21/index.php?id=4589</link>
    <description>Index terms</description>
    <language>fr</language>
    <ttl>0</ttl>
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      <title>Extrusion and characterization of aluminum/graphene composites</title>
      <link>https://popups.uliege.be/esaform21/index.php?id=3714</link>
      <description>Since its first synthesis in 2004 graphene was characterized intensively and exceptional properties in terms of e.g. mechanical strength, stiffness and electrical as well as thermal conductivity were revealed. These properties make graphene very attractive to be applied as additive in composite materials e.g. to increase strength and conductivity compared to the pure matrix material. In this study graphene nano platelets (GNP) in contents of 0. 5%, 1.0 % and 1.5 % were added to pure (99.7 %) aluminum powder and dispersed via EIRICH mixer method. This method is very appealing since homogenous mixtures can be achieved in significantly lower time when compared to e.g. the ball milling process. After subsequent cold compaction the composite materials were extruded with three different extrusion ratios. The influence of GNP content and extrusion ratio on the specific extrusion pressure is characterized as well the resulting rod surface quality, respectively. The effects of GNP content and extrusion ratio on homogeneity of graphene dispersion in the aluminum matrix, the relative density of the composite as well as hardness were also investigated. </description>
      <pubDate>Mon, 29 Mar 2021 14:18:38 +0200</pubDate>
      <lastBuildDate>Fri, 14 May 2021 15:25:55 +0200</lastBuildDate>
      <guid isPermaLink="true">https://popups.uliege.be/esaform21/index.php?id=3714</guid>
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    <item>
      <title>Optimization of process-property relations of 3D printed ceramics using extrusion-based additive manufacturing</title>
      <link>https://popups.uliege.be/esaform21/index.php?id=3723</link>
      <description>The capability and applicability of additive manufacturing have mesmerized the entire manufacturing world. One major technique of additive manufacturing is extrusion-based additive manufacturing (EAM), which has been recently employed for the rapid production of ceramic components, among other applications. This study focused on establishing the process-property relations for extrusion-based additively manufactured ceramics, namely Alumina (Al2O3) and Zirconia (ZrO2), and then optimization of the relations to get the desired mechanical properties for applicability. Extrusion-based additive manufacturing was used to obtain the ceramic sample parts from ceramic-binder mixtures and by subsequent post-processing. The process parameters chosen for the study were extrusion velocity and part orientation whereas the mechanical properties selected were hardness and flexural strength. Extrusion velocity was varied at three levels i.e. 7.5 mm/s, 12.5 mm/s and 17.5 mm/s. Two levels selected for part orientation were horizontal and vertical. The design of experiments technique was used to establish the process-property relations by highlighting the most significant process parameters affecting the selected mechanical properties. Optimization was achieved by highlighting those levels of significant process parameters that provided the desired values of mechanical properties. Part orientation came out to be a significant factor affecting both the hardness and flexural strength of the two ceramics whereas extrusion velocity was found to be insignificant for both mechanical properties. Among the two levels of part orientation, vertical orientation samples showed higher values of hardness while horizontal samples showed higher flexural strength thus, aiding in the optimization of the process-property relations. </description>
      <pubDate>Mon, 29 Mar 2021 14:20:30 +0200</pubDate>
      <lastBuildDate>Thu, 08 Apr 2021 19:56:29 +0200</lastBuildDate>
      <guid isPermaLink="true">https://popups.uliege.be/esaform21/index.php?id=3723</guid>
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      <title>Effect of powder size and processing parameters on surface, density and mechanical properties of 316L elaborated by Laser Powder Bed Fusion </title>
      <link>https://popups.uliege.be/esaform21/index.php?id=1563</link>
      <description>Despite the attractive capabilities of additive manufacturing (AM) technology, the industrialization of these processes remains very low. This is attributed to the complexes physical phenomena involved in the AM process and the layered structure of the produced parts. Intense research work is still needed for the prediction and optimization of AM parts mechanical properties. In this study, the influence of particle size distribution (PSD) of stainless steel 316L (SS 316L) powders on AM parts properties was investigated. Four PSD were used to produce test parts and compare the resulting porosity, surface roughness and macro-hardness. The SS 316L specimens were fabricated by Laser Powder Bed Fusion process (LPBF) on a SLM 125HL machine using variations in laser power and scan velocity. Computed scan tomography (CT) was used to characterize the defects. Lack of fusion and keyhole defects were detected. Defects were detected even in nearly dense parts. The powder size distribution was found to affect the porosity. Results from CT tests were used to identify the minimum achievable porosities for each powder, through the appropriate selection of process parameters. The macro-hardness and surface roughness were found to vary with the powder properties.  </description>
      <pubDate>Mon, 22 Mar 2021 20:12:13 +0100</pubDate>
      <lastBuildDate>Mon, 05 Apr 2021 18:14:24 +0200</lastBuildDate>
      <guid isPermaLink="true">https://popups.uliege.be/esaform21/index.php?id=1563</guid>
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