Abstract
Drop on demand (DoD) inkjet printing is a high precision, non-contact, and maskless additive manufacturing technique employed in producing high-precision micrometer-scaled geometries allowing free design manufacturing for flexible devices and printed electronics. A lot of studies exist regarding the ink droplet delivery from the nozzle to the substrate and the jet fluid dynamics, but the literature lacks systematic approaches dealing with the relationship between process parameters and geometrical outcome. This study investigates the influence of the main printing parameters (namely, the spacing between subsequent drops deposited on the substrate, the printing speed, and the nozzle temperature) on the accuracy of a representative geometry consisting of two interdigitated comb-shape electrodes. The study objective was achieved thanks to a proper experimental campaign developed according to Design of Experiments (DoE) methodology. The printing process performance was evaluated by suitable geometrical quantities extracted from the acquired images of the printed samples using a MATLAB algorithm. A drop spacing of 140 µm and 170 µm on the two main directions of the printing plane, with a nozzle temperature of 35 °C, resulted as the most appropriate parameter combination for printing the target geometry. No significant influence of the printing speed on the process outcomes was found, thus choosing the highest speed value within the investigated range can increase productivity.
Highlights
During the last few decades, the combination of computer design and three-dimensional printing techniques took the workflow of manufacturing processes to a substantial change in several science fields such as biology, life science, and robotics
Inkjet printing technology can be divided into two subcategories: continuous and drop on demand (DoD)
In the literature, there are no ink–substrate interaction relying on the contact angle (CA) measurement [14,15,16], findthus ings about optimal set of parameters in the printing process neither by relying on the allowing anan estimation of the surface energy
Summary
During the last few decades, the combination of computer design and three-dimensional printing techniques took the workflow of manufacturing processes to a substantial change in several science fields such as biology, life science, and robotics. Inkjet printing technology can be divided into two subcategories: continuous and drop on demand (DoD) In the former, the creation of ink droplets is constant and allows performing high-speed printing processes, especially for industrial application. Micromachines 2022, 13, 57 process gives access to a wide employment in applications such as microelectromechanical systems [5,6], dielectric elastomer transducers [7], electro-adhesive devices [8], as well as optical and electric temperature sensors [9] All these applications need a high-precision systems [5,6], dielectric elastomer transducers [7], electro-adhesive devices [8], as well as technology that works at the micrometer scale and a free geometry capability. In the literature, there are no ink–substrate interaction relying on the contact angle (CA) measurement [14,15,16], findthus ings about optimal set of parameters in the printing process neither by relying on the allowing anan estimation of the surface energy
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