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Recent Submissions

  • Item type:Item, Access status: Open Access ,
    Optimalizace konstrukce motocyklového rámu z kompozitních materiálů s ohledem na výrobní technologii
    (Vysoké učení technické v Brně. Fakulta strojního inženýrství) Gregor, Lukáš; Zouhar, Jan; Rusnáková, Soňa; Padovec, Zdeněk
    Dizertační práce se zaměřuje na optimalizaci rámu motocyklu z uhlíkových kompozitů (CFRP). Cílem je ověřit postup návrhu lehkých a konstrukčně efektivních konstrukcí s využitím topologické optimalizace při současném zohlednění vyrobitelnosti laminátu. Konstrukční požadavky byly stanoveny z hlediska torzní, podélné a příčné tuhosti a také z pohledu bezpečnosti při kritických provozních stavech, jako je brzdění, doskok a zatáčení. Stávající konstrukce rámu vyrobená technologií prepreg–autokláv byla analyzována a na jejím základě byl vytvořen stavební prostor pro topologickou optimalizaci. Výsledky optimalizace byly následně zapracovány do konstrukčního řešení při současném zachování vyrobitelnosti a snížení počtu dílů sestavy. Optimalizovaný rám dosáhl zvýšení torzní tuhosti o 128 %, příčné o 140 % a podélné o 67 %, přičemž současně došlo ke snížení kritických koncentrací napětí a k redukci hmotnosti o 2 %, při nezměněné skladbě laminátu. Výsledky ukazují, že využití topologické optimalizace jako podpůrného nástroje při návrhu kompozitních struktur představuje efektivní cestu k vývoji lehkých a zároveň bezpečných kompozitních struktur.
  • Item type:Item, Access status: Open Access ,
    Combination of finite element spindle model with drive-based cutting force estimation for assessing spindle bearing load of machine tools
    (2025-12-12) Schöberlein, Chris; Klíč, Daniel; Holub, Michal; Schlegel, Holger; Dix, Martin
    Monitoring spindle bearing load is essential for ensuring machining accuracy, reliability, and predictive maintenance in machine tools. This paper presents an approach that combines drive-based cutting force estimation with a finite element method (FEM) spindle model. The drive-based method reconstructs process forces from the motor torque signal of the feed axes by modeling and compensating motion-related torque components, including static friction, acceleration, gravitation, standstill, and periodic disturbances. The inverse mechanical and control transfer behavior is also considered. Input signals include the actual motor torque, axis position, and position setpoint, recorded by the control system’s internal measurement function at the interpolator clock rate. Cutting forces are then calculated in MATLAB/Simulink and used as inputs for the FEM spindle model. Rolling elements are replaced by bushing joints with stiffness derived from datasheets and adjusted through experiments. Force estimation was validated on a DMC 850 V machining center using a standardized test workpiece, with results compared against a dynamometer. The spindle model was validated separately on a MCV 754 Quick machine under static loading. The combined approach produced consistent results and identified the front bearing as the most critically loaded. The method enables practical spindle bearing load estimation without external sensors, lowering system complexity and cost.
  • Item type:Item, Access status: Open Access ,
    A New Fuzzy Preference Relation (FPR) Approach to Prioritizing Drinking Water Hazards: Ranking, Mapping, and Operational Guidance
    (2025-11-29) Piegdoń, Izabela; Tchórzewska-Cieślak, Barbara; Raček, Jakub
    This paper presents a practical and auditable methodology for prioritizing drinking water hazards based on fuzzy preference relations (FPR). The method is based on additive pairwise comparisons of tap water quality parameters, which are aggregated (median) into a complete preference matrix. For each parameter, a Fuzzy Priority Index (FPI) was determined as the average “advantage” over the others. The FPI values were mapped to five fuzzy priority levels (very low–very high) using triangular/trapezoidal membership functions, followed by a defuzzification process using the centroid of singletons (COGS) method. The final step is to map the categories to operational actions, ensuring a clear transition from assessment to decision (from routine monitoring to immediate intervention). The method was demonstrated on nine parameters that are relevant for regulatory (WHO/DWD) and operational purposes: As, Pb, THM, NO3, Hg, Cr, Mn, Cu, Fe. Thirty-six pairwise assessments were determined, which, after aggregation, formed fuzzy relations. The resulting ranking (FPI) is: As (0.76) > Pb (0.70) > THM (0.64) > NO3 (0.56) > Hg (0.50) > Cr (0.43) > Mn (0.36) > Cu (0.30) > Fe (0.25). Fuzzy categorization assigned As, Pb, THM to the High level, NO3, Hg, Cr to Medium, and Mn, Cu, Fe to Low, with the Score reflecting the “proximity” of higher levels. The approach is transparent, replicable, and supports sensitivity analysis. The combination of FPI with fuzzy categorization and a decision map transforms expert knowledge and uncertainty into prioritized, actionable steps for water safety management.
  • Item type:Item, Access status: Open Access ,
    Treatment of a Real Brewery Wastewater with Coagulation and Flocculation: Impact on Organic Substance and Nutrient Concentrations
    (MDPI, 2025-03-10) Carnevale Miino, Marco; Torretta, Vincenzo; Repková, Martina; Hlavínek, Petr; Telek, Július
    Featured Application This work presents important data about the impact of the coagulation and flocculation process on the industrial-scale treatment of brewery wastewater, providing technical operators with essential information about the efficacy of various reagents under varied conditions.Abstract Brewery wastewater (BWW) often contains a high concentration of organic matter and nutrients, requiring pre-treatment before it can be effectively treated in conventional wastewater treatment plants. This study focuses on the use of coagulation-flocculation techniques to treat real industrial wastewater. Firstly, lab-scale tests have been carried out to determine the most effective coagulant and flocculant type and concentration. The levels of pollutants, including chemical oxygen demand (COD), biological oxygen demand in five days (BOD5), total nitrogen (Ntot), total phosphorus (Ptot), and orthophosphate (P-PO43-) have been measured to assess the efficiency of the procedure. Industrial scale tests were performed in optimal conditions in order to evaluate the effectiveness of the treatment on a larger scale and estimate the generation of chemical sludge. The most effective substances for coagulation and flocculation were polyaluminium chloride (PAC) and anion-active flocculant (AAF) ZETAG 4139 0.1%, respectively, at concentrations of 675 mgL-1 and 40 mgL-1. During industrial-scale tests, the process allowed the effective removal of TSS (86.8%), Ntot (51.8%), Ptot (95.5%), and P-PO43- (99.6%), while the limited removal of organic substances has been highlighted (BOD5: 34.3%; COD: 26.5%). The dry matter (DM) content of the separated sludge was found to be 4.5-5%, and a yield of 1.01 kgDM per kg of COD removed was obtained after flocculation treatment of the BWW. These findings can be beneficial for both the scientific community and technical operators, offering insights into the effectiveness of various coagulants and flocculants on industrial-scale wastewater treatment.
  • Item type:Item, Access status: Open Access ,
    The Valuation of Assets as a Non-Monetary Contribution to a Water Management Company
    (2025-12-12) Vítková, Eva; Korytárová, Jana; Kocourková, Gabriela
    A large number of state-owned companies were privatized in the Czech Republic after the end of the communist regime, mostly through their transformation into joint-stock companies. The water management sector was no exception from this process. The ownership of infrastructure networks was transferred to individual municipalities, which are legally obliged to provide their inhabitants with water supply and sewerage disposal. Subsequently, the municipalities joined together in joint-stock companies to enhance their capacity to provide sufficient financial resources for the rehabilitation and development of water infrastructure and also to enable the implementation of sustainable water management strategies, which are key to environmental protection. Assets contributed to joint-stock companies in the form of non-monetary contributions serve as a basis for a proportionate allocation of shares, representing the shareholder’s share of participation in the company’s management. An analysis of the asset performance within these companies indicates the necessity of developing an optimized methodology for determining the number of shares allocated for such non-monetary contributions. This need arises from significant disparities in both profitability and cost-efficiency among municipalities, depending on factors such as population size (revenues) and the length and technical characteristics of the infrastructure networks (costs) contributed to the joint-stock companies. The authors of the article present the research project results, aimed at developing a methodological procedure for determining the price (value) of municipal infrastructure assets contributed as non-monetary capital to a joint-stock company that owns and operates water management networks, from which the secondary objective of determining the fair value of a municipality’s water management infrastructure assets based on the developed methodology is derived. The proposed methodological procedure is primarily based on establishing the ratio between the fixed and variable costs of the municipality.