Tomáš Goldmann

Dr. Tomáš Goldmann

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2022 in Materials
Verified
Journal Article
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TGTomáš Goldmann
Tomáš Goldmann
WHWei-Chin Huang
Wei-Chin Huang
SRSylwia Rzepa
Sylwia Rzepa
Jan DzuganJan Dzugan
Jan Dzugan
RSRadek Sedláček
Radek Sedláček
MDMatej Daniel
Matej Daniel
The study aims to compare mechanical properties of polymer and metal honeycomb lattice structures between a computational model and an experiment. Specimens with regular honeycomb lattice structures made of Stratasys Vero PureWhite polymer were produced using PolyJet technology while identical specimens from stainless steel 316L and titanium alloy Ti6Al4V were produced by laser powder bed fusion. These structures were tested in tension at quasi-static rates of strain, and their effective Young’s modulus was determined. Analytical models and finite element models were used to predict effective Young’s modulus of the honeycomb structure from the properties of bulk materials. It was shown, that the stiffness of metal honeycomb lattice structure produced by laser powder bed fusion could be predicted with high accuracy by the finite element model. Analytical models slightly overestimate global stiffness but may be used as the first approximation. However, in the case of polymer material, both analytical and FEM modeling significantly overestimate material stiffness. The results indicate that computer modeling could be used with high accuracy to predict the mechanical properties of lattice structures produced from metal powder by laser melting.

26 September 2012 in Computer Methods in Biomechanics and Biomedical Engineering
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Journal Article
Closed access
TGTomáš Goldmann
Tomáš Goldmann
MVM. Vilimek
M. Vilimek
(2012). Kinematics of human spine during hippotherapy. Computer Methods in Biomechanics and Biomedical Engineering: Vol. 15, Supplent 1: 37th Congress of the Societe de Biomecanique, pp. 203-205.

5 November 2022 in Journal of Orthopaedic Surgery and Research
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Journal Article
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MMMatej Mazura
Matej Mazura
TGTomáš Goldmann
Tomáš Goldmann
PSPopelka Stanislav
Popelka Stanislav
DKDavid Kachlík
David Kachlík
RHRastislav Hromadka
Rastislav Hromadka
Purpose: Dorsal closing wedge calcaneal osteotomy (DCWCO) is indicated in patients with insertional tendinopathy of the calcaneal (Achilles) tendon. The Chauveaus-Liet’s (CL) angle is represented by the difference between the angle of verticalization (α) and morphological angle (β) of the calcaneus (CL angle = α − β). The purpose of the study was to assess whether the DCWCO affects the Chauveaus-Liet’s angle. Methods: The study included 12 patients indicated to DCWCO. Three directions of close wedge osteotomy were designed for each patient—horizontal, vertical and in the middle type of osteotomy and a virtual osteotomy was created in each of them in the ABAQUS system in cooperation with Czech Technical University. The most used directions of osteotomy according to the available literature were used. We evaluated α and β angles before and after osteotomy, changes of the length plantar aponeurosis and the elevation of distal insertional point of the calcaneal tendon. The changes of grades, median and standard deviation were observed. Results: The change of the alfa angle was dependent on the direction of the osteotomy and the change of the beta angle was affected by the size of the osteotomy. The greatest elevation of the distal insertional point of the calcaneal tendon occurred in the horizontal type of the osteotomy. Conclusion: Our study shows that the more we want to reduce the tension in the calcaneal tendon, the more we have to perform an osteotomy horizontally. This study could serve as a preoperative guide for osteotomy planning.

1 January 2021 in Biotechnology & Biotechnological Equipment
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Journal Article
Open access
MVMiloslav Vilimek
Miloslav Vilimek
ZHZdenek Horak
Zdenek Horak
TGTomáš Goldmann
Tomáš Goldmann
PTPetr Tichy
Petr Tichy
SIStefan K.A. Ihde
Stefan K.A. Ihde
The purpose of this study was to experimentally measure and simulate thermal diffusion in the surrounding of specific dental drills with cylindrical and conical drills. The investigation was performed under different drilling conditions, with and without cooling and at different revolution speeds. During the experimental investigation, drilling into a polyurethane (PUR) foam block, was performed with and without cooling, and at three different revolution speeds, 800 rpm, 3,000 rpm and 5,000 rpm. Finite element method (FEM) simulation of the thermal diffusion during drilling into PUR foam was also performed. As a result, different temperature diffusion was found in the surroundings of the individual drills. During specific drilling conditions, some of the drills produce very high heat, as opposed to the other tested drills. The results from the numerical FEM analysis are consistent with the experiments, and it is evident that the shape of the drill and the drilling conditions affect the results. The measurements in our experiment were performed under specific conditions that resembled mechanical drilling and did not match the reality of drilling in dental surgery, which is very often interrupted and the drilling force is reduced by the dentist’s hand. The actual temperature is probably much lower. The finite element (FE) analysis of temperature rise during drilling can be useful for shape optimization of the drill when the target function is lower in temperature.

24 August 2011 in Computer Methods in Biomechanics and Biomedical Engineering
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Journal Article
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MVMiloslav Vilimek
Miloslav Vilimek
TGTomáš Goldmann
Tomáš Goldmann

26 December 2021
Verified
Conference Paper
Closed access
TGTomáš Goldmann
Tomáš Goldmann
MDMartin Drahanský
Martin Drahanský
Many classification algorithms depend on a training dataset to be able to find appropriate parameters. The training dataset can significantly affect the resulting quality of the classifier, hence it is necessary to use as good dataset for a given task as possible. Either there already is an available ready-to-use dataset or a new one must be created. It is a rather tedious and time consuming process to create a new dataset from scratch because many algorithms usually require a large amount of tagged data. For many specific tasks, the only way is to create a new dataset simply because there are no sets available. For the purposes of training and testing face detection and recognition algorithms, we created a generator producing a large number of images containing a human head in various poses and positions placed in a predefined scene. The synthetically generated dataset may complement the dataset generated by real data or may be used separately.