Teirumnieks, Edmunds

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Preferred name
Teirumnieks, Edmunds
Official Name
Teirumnieks, Edmunds
Alternative Name
Edmunds Teirumnieks
Main Affiliation
Email
edmunds.teirumnieks@rta.lv
ORCID
Scopus Author ID
56323300300
Researcher ID
GDR-2698-2022

Research Output

Now showing 1 - 4 of 4
  • Publication
    Modification of Aluminum 1050 and 2219 Alloys Using CuBr Nanosecond Laser for Hydrophobic and Hydrophilic Properties
    (2023)
    Antons, Pacejs 
    ;
    Emil Yankov
    ;
    Adijāns, Imants 
    ;
    Teirumnieks, Edmunds 
    ;
    Lazov, Lyubomir 
    This study investigates the use of a CuBr vapor nanosecond laser with a 510 nm/578.2 nm wavelength for the surface treatment of 1050 aluminum and 2219 aluminum alloys. Laser-induced periodic surface structuring was used to optimize processing parameters to achieve hydrophobic and hydrophilic properties on the surface. The wetting properties were measured and the roughness results (Ra, Rz, Rq) evaluated. Prior to and after laser treatment, surface wetting and roughness changes were investigated. The wetting study showed that the maximum contact angle between a droplet of deionized water and the treated surface can be reached between more than 140 degrees and less than 10 degrees, which, respectively, is a superhydrophobic and superhydrophilic surface. Compared with the untreated surface, wetting increased by more than 2 times and decreased by more than 8 times. Overall, experiments show the dependence of wetting properties on laser input parameters such as scan speed and scan line distance with different delivered energy amounts. This study demonstrates the possibility of laser parameter optimizations which do not require auxiliary gases and additional processing of the resulting surfaces to obtain different wetting properties on the surface. The findings described in this article suggest that the CuBr laser surface treatment method is a promising method for industrial applications where surfaces with special wetting and roughness properties are required, for example, the laser marking of the serial number of parts used in wet environments such as aerospace, shipbuilding, and defense industries.
  • Publication
    Artificial Neural Networks: What Can They Learn about Color Laser Marking?
    (2018)
    Pavels Cacivkins
    ;
    Lazov, Lyubomir 
    ;
    Teirumnieks, Edmunds 
    ;
    Martins Sperga
    ;
    Ingus Dilevka
    ;
    Artis Vitins
    Color laser marking paves the way for many useful applications in modern industry - traceability, anticounterfeiting, etc. Laser marking of materials is an inherently difficult problem with no clear functional relationship between many technological parameters on the input and the results of processing on the output. Some processes cannot be well defined without the use of examples. In this paper we discuss the novel method of training artificial neural networks using real experimental color laser marking data for prediction of results. We conclude the paper by discussing the other potential applications of proposed solution in the field of laser materials processing.
    Scopus© Citations 1
  • Publication
    Mathematical Model of the Distribution of Laser Pulse Energy
    (2016)
    Pavels Narica
    ;
    Teilāns, Artis 
    ;
    Lazov, Lyubomir 
    ;
    Pavels Cacivkins
    ;
    Teirumnieks, Edmunds 
    Method allows for modelling of the complex process of laser pulse energy distribution over flat work surface. The process of calculating the correct result does not use common lasing formulas but instead employs the mathematical model of matrix multiplication of three input matrices representing a pulse model, a line model, and a plane model. The pulse model represents the distribution of planar energy densities within the laser pulse. The line model represents the distribution of pulses within the line. The plane model represents the distribution of lines within the plane. Because mathematical model is implemented within a spreadsheet processor, its size can be adjusted as needed and it can be instantiated multiple times for simultaneous modelling of different input parameters.
  • Publication
    Mathematical Model of Forecasting Laser Marking Experiment Results
    (2016)
    Pavels Narica
    ;
    Teilāns, Artis 
    ;
    Lazov, Lyubomir 
    ;
    Pavels Cacivkins
    ;
    Teirumnieks, Edmunds 
    Method allows for modelling of the anticipatory results of colour laser marking experiments. The process of calculating expected results takes into consideration the construction specifics of laser system being used and displays the results in compact form of a set of parameter matrices that have their values conditionally formatted as colour maps for easy identification of complex patterns. The complete set of all the related parameter matrices, both technical and derived, as well as the specific relations between them form the mathematical model of forecasting laser marking experiment results. Because the mathematical model is implemented within spreadsheet processor, it can be instantiated multiple times for any number of experiments.