@article{Manurung:15260,
      recid = {15260},
      author = {Manurung, Yupiter H. P. and Taufek, Thoufeili and Adenana,  Mohd Shahriman and Hussein, Nur Izan Syahriah and  Aminallah, Muhd Mufqi and Jamaludin, Fitri Iskandar and  Papadakis, Loucas and Sallem, Haifa},
      title = {Optimizing novel multi-scaled simulation method for  deviation analysis of generatively designed aileron bracket  using laser powder bed fusion},
      publisher = {Springer},
      journal = {The International Journal of Advanced Manufacturing  Technology},
      address = {Berlin, Germany. 2024-05},
      number = {ARTICLE},
      pages = {17 p.},
      abstract = {This research is devoted to forecast the distortion of  aileron brackets by means of generative design (GD) and  multi-scaled numerical simulation comprising meso- and  macro-scaled simulation based on thermomechanical method  (TMM) and inherent strain method (ISM), respectively. The  multi-scaled simulation began with TMM-based virtual  calibration test (VCT) including mesh sensitivity and  volume fraction analysis to identify the best meshing voxel  size. In finding inherent strain tensors, optimization was  implemented using pattern search algorithm referring to the  minimum relative error. Further, macro-scaled simulation  was implemented to estimate bracket distortion behavior by  applying the inherent strain tensors in ISM. For  experiment, the conventional aileron bracket shape was  first improved by complying the internal rules of GD  throughout the desired design space with respect to stress  goal and weight reduction based on iterative material  distribution. After obtaining the new generatively designed  component, linear static analysis was implemented to  improve the stress magnitude and surface smoothness level  by mesh and material sculpting. Then, the component is  manufactured using laser powder bed fusion with manual  postprocessing of support structure followed by sand  blasting. The finished aileron bracket was then measured  using a 3D scanner GOM Atos Q. As conclusion, this novel  multi-scaled simulation method based on GD, static stress,  and virtual calibration test allows a forecast of an  acceptable surface deviation within relative single point  and mean errors up to 11% and 5% respectively. By  neglecting the tedious and time-consuming procedure of real  calibration, a huge time reduction for preparation up to a  few days and for computation up to 35% compared to pure TMM  can be achieved.},
      url = {http://arodes.hes-so.ch/record/15260},
      doi = {https://doi.org/10.1007/s00170-024-13714-5},
}