A scaling law of particle transport in inkjet-printed particle-laden polymeric drops. (1st August 2022)

• Record Type: Journal Article
• Authors: Cheng, Cih; Moon, Yoon Jae; Hwang, Jun Young; Chiu, George T.-C.; Han, Bumsoo
• Is Part Of: International journal of heat and mass transfer. Volume 191(2022)
• Publication Date: 2022-08-01
• Subjects: Similarity -- Poroelasticity -- Thermally responsive polymer -- Particle distribution -- Digital hydrogel; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2022.122840
• Languages: English
• ISSNs: 0017-9310

Abstract

Abstract: Hydrogels with embedded functional particulates are widely used to create soft materials with innovative functionalities. In order to advance these soft materials to functional devices and machines, critical technical challenges are the precise positioning of particulates within the hydrogels and the construction of the hydrogels into a complex geometry. Inkjet printing is a promising method for addressing these challenges and ultimately achieving hydrogels with voxelized functionalities, so-called digital hydrogels. However, the development of the inkjet printing process primarily relies on empirical optimization of its printing and curing protocol. In this study, a general scaling law is proposed to predict the transport of particulates within the hydrogel during inkjet printing. This scaling law is based on a hypothesis that water-matrix interaction during the curing of inkjet-printed particle-laden polymeric drops determines the intra-drop particle distribution. Based on the hypothesis, a dimensionless similarity parameter of the water-matrix interaction is proposed, determined by the hydrogel's water evaporation coefficient, particle size, and mechanical properties. The hypothesis was tested by correlating the intra-drop particle distribution to the similarity parameter. The results confirmed the scaling law capable of guiding ink formulation and printing and curing protocol. Highlights: A scaling law is proposed to predictively design inkjet printing processes of particle-laden hydrogels. A dimensionless similarity parameter is formulated and validated to predict particle distribution patterns in inkjet-printed hydrogel. Transport of particles in inkjet-printed hydrogels is determined by the balance of interstitial water flow and hindrance by the polymer matrix. Graphical abstract: Image, graphical abstract