TA_kogumik 2018-2019

SUMMARIES
SUMMARIES
During literature analysis following keywords were used: organis(z)ational success,
measurement (measure, measuring).
Articles dating 1.1.2007 to the present were used for this research. For various analyzes and
reviews following databases were used: Emerald’s research journals and e-book database,
ESTER electronic catalogues for libraries, eLibrary and Cyberleninka, ResearchGate website
and the ScienceResearch online research database. A total of 317 articles were initially
found, 19 of which complied with the research topic and were further analysed.
The concept of the success of an organization is largely subjective and its interpretation
depends on the evaluation and various critical factors can determine the success of the
organization in different development cycles. Various authors draw different factors or
groups of factors based on their field of research. That must be taken into consideration
when attempting to define organizational success. Based on theoretical sources, factors
are divided them into objective and subjective factors. The author creates a universal model
for measuring the success of an organization that can easily be adapted to the goals and
specificity of the organisation.
In the creation of the organization’s success measuring system following principles were
used:
1. Success can be measured by different target groups: management, shareholders,
employees, customers, partners, location;
2. Success can be measured by different categories (criteria groups): financial, customer/
market, process, employee, and sustainability indicators;
3. Each category has its own coefficient, which indicates the importance of the category
of success of the organization
When measuring the organisational success, it is important to use a reasonable and
justified selection of factors that determine success. Organizational success factors must be
persistent, measurable, reliable, traceable, adaptive and accessible.
Further research will be primarily focused on identification of factors for organizational
success categories and testing an organization’s performance measurement model.
Martin Lints
Non-destructive testing of carbon fibre reinforced polymer
components
This paper, titled “Non-destructive testing of carbon fibre reinforced polymer components”,
considers the impact that Carbon Fibre Reinforced Polymer (CFRP) has to sustainable deve-
lopment, now and in the future. While the use of CFRP materials in vehicles and machinery
enhances their efficiency by reducing mass, it also has a considerable downside: it is difficult
to recycle, therefore we would like to keep a CFRP part in service as long as possible. On
the other hand, as it is used more and more in highly responsible and demanding tasks,
such as in load-bearing structures, any damage must be detected early to minimize any
dangerous breakdowns.
The solution is to continuously conduct ultrasonic Non-Destructive Testing (NDT). It is,
however, problematic, because NDT of composites is difficult due to: 1) internal structure of
material inhibiting the traversal of acoustic waves in the material and 2) the spatial dimen-
sions of possible defects, such as delaminations, can be smaller than the used wavelenght,
making it invisible to the most used linear ultrasonic spectroscopy.
This paper proposes to solve the problem, by: 1) turning the internal structure of the material
to an advantage by using delayed Time Reversal – Nonlinear Elastic Wave Spectroscopy to
focus the ultrasonic waves in the material, thereby increasing the signal-to-noise ratio; and
2) detecting defects which are smaller than wavelength by their nonlinear effects.
This signal processing method is tested by both physical experiments and numerical simula-
tions. The link between the experiments and simulations is validated for undamaged material
and then the effect of damage and its detectability is studied using the simulation model with
a defect of various sizes. It is found that the signal processing method is well suited for
composite materials, where waves have trouble traversing. Even more, the signal processing
method can detect the nonlinear effects from crack which is smaller than the wavelength of
the ultrasonic material.
This signal processing method is therefore suitable for NDT of CFRP materials, enabling its
wider and more efficient use in safety-critical applications without compromise in safety or
economic cost, but decreasing the impact we have on the environment.
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