000015260 001__ 15260
000015260 005__ 20250107133956.0
000015260 022__ $$a0268-3768
000015260 0247_ $$2DOI$$a10.1007/s00170-024-13714-5
000015260 037__ $$aARTICLE
000015260 039_9 $$a2025-01-07 13:39:56$$b0$$c2025-01-07 10:28:06$$d1001044$$c2025-01-06 16:41:00$$d0$$y2025-01-06 16:40:52$$z1000099
000015260 041__ $$aeng
000015260 245__ $$aOptimizing novel multi-scaled simulation method for deviation analysis of generatively designed aileron bracket using laser powder bed fusion
000015260 260__ $$aBerlin, Germany$$bSpringer
000015260 269__ $$a2024-05
000015260 300__ $$a17 p.
000015260 506__ $$avisible
000015260 520__ $$9eng$$aThis research is devoted to forecast the distortion of aileron brackets by means of generative design (GD) and multi-scaled numerical simulation comprising meso- and macro-scaled simulation based on thermomechanical method (TMM) and inherent strain method (ISM), respectively. The multi-scaled simulation began with TMM-based virtual calibration test (VCT) including mesh sensitivity and volume fraction analysis to identify the best meshing voxel size. In finding inherent strain tensors, optimization was implemented using pattern search algorithm referring to the minimum relative error. Further, macro-scaled simulation was implemented to estimate bracket distortion behavior by applying the inherent strain tensors in ISM. For experiment, the conventional aileron bracket shape was first improved by complying the internal rules of GD throughout the desired design space with respect to stress goal and weight reduction based on iterative material distribution. After obtaining the new generatively designed component, linear static analysis was implemented to improve the stress magnitude and surface smoothness level by mesh and material sculpting. Then, the component is manufactured using laser powder bed fusion with manual postprocessing of support structure followed by sand blasting. The finished aileron bracket was then measured using a 3D scanner GOM Atos Q. As conclusion, this novel multi-scaled simulation method based on GD, static stress, and virtual calibration test allows a forecast of an acceptable surface deviation within relative single point and mean errors up to 11% and 5% respectively. By neglecting the tedious and time-consuming procedure of real calibration, a huge time reduction for preparation up to a few days and for computation up to 35% compared to pure TMM can be achieved.
000015260 540__ $$acorrect
000015260 592__ $$aHEI-VS
000015260 592__ $$bInstitut Systèmes industriels
000015260 592__ $$cIngénierie et Architecture
000015260 6531_ $$9eng$$ametal additive manufacturing
000015260 6531_ $$9eng$$aLPBF
000015260 6531_ $$9eng$$amulti-scaled simulation
000015260 6531_ $$9eng$$aTMM
000015260 6531_ $$9eng$$aISM
000015260 655__ $$ascientifique
000015260 700__ $$aManurung, Yupiter H. P.$$uUniversiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia ; Universitas Sumatera Utara, Medan Indonesia
000015260 700__ $$aTaufek, Thoufeili$$uUniversiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia
000015260 700__ $$aAdenana, Mohd Shahriman$$uUniversiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia
000015260 700__ $$aHussein, Nur Izan Syahriah$$uUniversiti Teknikal Malaysia Melaka, Melaka, Malaysia
000015260 700__ $$aAminallah, Muhd Mufqi$$u3D Gens Sdn Bhd, Shah Alam, Selangor, Malaysia
000015260 700__ $$aJamaludin, Fitri Iskandar$$uFirst Metrology Sdn Bhd, Petaling Jaya, Selangor, Malaysia
000015260 700__ $$aPapadakis, Loucas$$uFrederick University, Nicosia, Cyprus
000015260 700__ $$aSallem, Haifa$$uSchool of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences and Arts Western Switzerland
000015260 773__ $$tThe International Journal of Advanced Manufacturing Technology$$j2024, 132$$k11-12$$q5855-5871
000015260 8564_ $$uhttps://arodes.hes-so.ch/record/15260/files/Sallem_2024_optimizing_novel_multi-scaled_simulation_method_deviation_analysis_generatively_designed_aileron_bracket_using_laser_powder_bed_fusion.pdf$$yPublished version$$98022498a-6966-4b44-b470-a27e844c5433$$s2403428
000015260 906__ $$aNONE
000015260 909CO $$ooai:hesso.tind.io:15260$$pGLOBAL_SET
000015260 950__ $$aaucun
000015260 980__ $$ascientifique
000015260 981__ $$ascientifique