Master's Thesis
Optimization of conductive inks towards 3D microcircuit printing aided by computer vision
— 2022
Key information
Authors:
Supervisors:
Published in
November 22, 2022
Abstract
In this work the optimization of conductive inks based on silver nanoparticles (AgNPs) each with distinct chemical components exhibiting unique methods of post processing to improve structural and electrical properties have been reported. Intended to serve as electrical connectivity between highly dense microelectronics devices extending into three-dimensional (3D) planes. A modified 3D printer platform capable of picolitre (pL) liquid deposition on the microscale has been paired with computer vision (CV) to enable autonomous derivation of information from images and kinematic control. Aimed at reducing processes dependent on supervised instructions from the operator in terms of interconnecting system on chip (SoC) and package on package (PoP) technologies aimed at reducing vertical footprint required by wire bonding. The analysis of the chemically functional additives aimed to refine physical properties include admixtures of surfactants, binding agents, polymers and photocurable elements to support electrical sintering or photopolymerization using UV light respectively. Characterization by visual inspection to evaluate chemical changes directed at homogenous distributions of AgNPs increased contact areas on various substrates through contact angle analysis. Impacts on resistivity during UV curing, time evolution of thermal sintering and electrical sintering relying on localized heating Joule effect through current injection.
Publication details
Authors in the community:
Rahill Faizal Ismael
ist198877
Supervisors of this institution:
Fields of Science and Technology (FOS)
industrial-biotechnology - Industrial Biotechnology
Publication language (ISO code)
eng - English
Rights type:
Embargo lifted
Date available:
September 14, 2023
Institution name
Instituto Superior Técnico