Correlating process parameters and print accuracy of 3D-printable heat acid coagulated milk semisolids and polyol matrix: Implications for testing methods

Abstract

The primary additive manufacturing (AM) technique for all high-viscosity food composites is extrusion-based. Therefore, understanding the impact of process parameters involved is crucial in fulfilling the demand characteristics of the printed constructs. In this regard, a correlation between print accuracy and critical 3D printing (3DP) process variables as a strategy for expediting the selection of 3D printable food inks has the most potential for success. This paper studies the effectiveness of using heat-acid coagulated milk semisolids and polyol matrix as 3D printable food ink for high-quality prints. The study focused on the critical material properties and conducted rheological characterization and particle size distribution analysis. The study obtained the effective range of printing parameters for various process variables using a mathematical model that employed finite element analysis (FEA) to define the flow field characteristics. The dimensional accuracy of the printed constructs under different process variables was determined by utilizing image processing methods. A multi-objective optimization was carried out using the desirability function method to obtain the key correlations between the process parameters for the best-printed construct.

Keywords: Finite element method; Food matrix; Image analysis; Multi-objective optimization.