Analytical modeling of deposited filaments for high viscosity material-based piston-driven direct ink writing - Université de Lorraine Accéder directement au contenu
Article Dans Une Revue International Journal of Advanced Manufacturing Technology Année : 2022

Analytical modeling of deposited filaments for high viscosity material-based piston-driven direct ink writing

Résumé

Piston-driven direct ink writing (DIW) was developed as a promising additive manufacturing technique to fabricate complex parts with high viscosity material and many efforts have been made in analytical modeling for this process. However, the influences of material properties and process parameters on deposition statuses and height of deposited filaments have been poorly characterized. This study provides an analytical model to predict flow rate, deposition statuses, width and height of deposited filaments. To fulfill this objective, firstly, an analytical model of flow rate is described to predict the flow rate in time domain. Secondly, three deposition statuses are summarized and analytical dividing lines are derived to determine deposition statuses depend on the dimensionless nozzle velocity and the dimensionless height. Thirdly, width and height of deposited filaments are modeled and predicted based on the determined deposition statuses. Finally, Nivea Crème is selected as high viscosity material reference and flow rate, filaments deposition experiments are conducted to verify the proposed model. The effectiveness and prediction accuracy of the proposed model is verified as the relative errors between analytical and experimental results of flow rate are less than 4.31% and the relative errors between analytical and experimental results of width and height are less than 3.90%.
Fichier principal
Vignette du fichier
Manuscript_Analytical modeling of deposited filaments.pdf (1.58 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Licence : CC BY - Paternité

Dates et versions

hal-03970304 , version 1 (02-02-2023)

Identifiants

Citer

Yongqiang Tu, Alaa Hassan, Ali Siadat, Gongliu Yang. Analytical modeling of deposited filaments for high viscosity material-based piston-driven direct ink writing. International Journal of Advanced Manufacturing Technology, 2022, 123 (9-10), pp.3387-3398. ⟨10.1007/s00170-022-10511-w⟩. ⟨hal-03970304⟩
33 Consultations
21 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More