1 |
En route to automated maintenance of industrial printing systems: digital quantification of print-quality factors based on induced printing failureBischoff, Peter, Carreiro, André V., Kroh, Christoph, Schuster, Christiane, Härtling, Thomas 22 February 2024 (has links)
Tracking and tracing are a key technology for production process optimization and subsequent cost reduction. However, several industrial environments (e.g. high temperatures in metal processing) are challenging for most part-marking and identification approaches. A method for printing individual part markings on metal components (e.g. data matrix codes (DMCs) or similar identifiers) with high temperatures and chemical resistance has been developed based on drop-on-demand (DOD) print technology and special ink dispersions with submicrometer-sized ceramic and glass particles. Both ink and printer are required to work highly reliably without nozzle clogging or other failures to prevent interruptions of the production process in which the printing technology is used. This is especially challenging for the pigmented inks applied here. To perform long-term tests with different ink formulations and to assess print quality over time, we set up a test bench for inkjet printing systems. We present a novel approach for monitoring the printhead’s state as well as the print-quality degradation. This method does not require measuring and monitoring, e.g. electrical components or drop flight, as it is done in the state of the art and instead uses only the printed result. By digitally quantifying selected quality factors within the printed result and evaluating their progression over time, several non-stationary measurands were identified. Some of these measurands show a monotonic trend and, hence, can be used to measure print-quality degradation. These results are a promising basis for automated printing system maintenance.
|
2 |
Nucleic acid analysis tools : Novel technologies and biomedical applicationsHernández-Neuta, Iván January 2017 (has links)
Nucleic acids are fundamental molecules of living organisms functioning essentially as the molecular information carriers of life. From how an organism is built to how it responds to external conditions, all of it, can be found in the form of nucleic acid sequences inside every single cell of every life form on earth. Therefore, accessing these sequences provides key information regarding the molecular identity and functional state of any living organism, this is very useful for areas like biomedicine, where accessing and understanding these molecular signatures is the key to develop strategies to understand, treat and diagnose diseases. Decades of research and technological advancements have led to the development of a number of molecular tools and engineering technologies that allow accessing the information contained in the nucleic acids. This thesis provides a general overview of the tools and technologies available for nucleic acid analysis, and proposes an illustrative concept on how molecular tools and emergent technologies can be combined in a modular fashion to design methods for addressing different biomedical questions. The studies included in this thesis, are focused on the particular use of the molecular tools named: padlock and selector probes, rolling circle amplification, and fluorescence detection of single molecules in combination with microfluidics and portable microscopy. By using this combination, it became possible to design and demonstrate novel approaches for integrated nucleic acid analysis, inexpensive digital quantification, mobile-phone based diagnostics and the description of viral infections. These studies represent a step forward towards the adoption of the selected group of tools and technologies, for the design and building of methods that can be used as powerful alternatives to conventional tools used in molecular diagnostics and virology. / <p>At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 1: Manuscript.</p>
|
Page generated in 0.1261 seconds