<p>This study explores the machinability aspects on Laser Powder Bed Fusion (LPBF) AlSi10Mg aluminum built parts. The investigation delves into the influence of the LPBF parameters on the hardness and porosity as intrinsic properties of the built parts in one side, and on the cutting force (Fc), temperature (Tc) and chip breakability index (Cin) on the other side. The LPBF parameters considered are building orientation, laser power, scan speed, hatch spacing and layer thickness; while the turning parameters taken into account are the rotational speed and the depth of cut; Taguchi method was employed to design the experiments. Analysis of variance (ANOVA) and multi-objective optimization coupled to Grey relational analysis were adopted to discriminate the most influencing LPBF and turning factors along with the related levels; optimization targeted the minimizing Fc and Tc, and the maximizing of the Cin. Furthermore, it is noteworthy that this approach was built to simultaneously optimize the LPBF and turning in a unique fabrication flow from an economic hybrid manufacturing standpoint. According to findings, optimal levels were found at Orientation 0°, laser power of 250 W, scan speed at 2000&#xa0;mm/s, and hatch space around 150&#xa0;µm; these values fixed the hardness of the as-built material around 125 HV and 3% of porosity. Optimal turning factors were detected at a rotational speed of 1825&#xa0;rpm and cut depth of 1.5&#xa0;mm. Subsequently, based on the cutting theory principles, the resulted outcomes can be straightforwardly applicable to other machining techniques such as milling, drilling, and so forth.</p> Graphical Abstract <p></p>

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On the machinability of additively manufactured AlSi10Mg: factorial analysis and multi-objective optimization

  • Nnamdi Chukwunenye Igwe,
  • Iatimad Akhrif,
  • Mostapha El Jai

摘要

This study explores the machinability aspects on Laser Powder Bed Fusion (LPBF) AlSi10Mg aluminum built parts. The investigation delves into the influence of the LPBF parameters on the hardness and porosity as intrinsic properties of the built parts in one side, and on the cutting force (Fc), temperature (Tc) and chip breakability index (Cin) on the other side. The LPBF parameters considered are building orientation, laser power, scan speed, hatch spacing and layer thickness; while the turning parameters taken into account are the rotational speed and the depth of cut; Taguchi method was employed to design the experiments. Analysis of variance (ANOVA) and multi-objective optimization coupled to Grey relational analysis were adopted to discriminate the most influencing LPBF and turning factors along with the related levels; optimization targeted the minimizing Fc and Tc, and the maximizing of the Cin. Furthermore, it is noteworthy that this approach was built to simultaneously optimize the LPBF and turning in a unique fabrication flow from an economic hybrid manufacturing standpoint. According to findings, optimal levels were found at Orientation 0°, laser power of 250 W, scan speed at 2000 mm/s, and hatch space around 150 µm; these values fixed the hardness of the as-built material around 125 HV and 3% of porosity. Optimal turning factors were detected at a rotational speed of 1825 rpm and cut depth of 1.5 mm. Subsequently, based on the cutting theory principles, the resulted outcomes can be straightforwardly applicable to other machining techniques such as milling, drilling, and so forth.

Graphical Abstract