Jan Řehoř

Mr. Jan Řehoř

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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20 February 2016 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Verified
Journal Article
Closed access
PDF file
RFR. Ferreira
R. Ferreira
JŘJan Řehoř
Jan Řehoř
CLCarlos Henrique Lauro
Carlos Henrique Lauro
DIEGO CAROUDIEGO CAROU
DIEGO CAROU
J. Paulo DavimJ. Paulo Davim
J. Paulo Davim

17 November 2015 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
PMPeter Monka
Peter Monka
Katarina MonkovaKatarina Monkova
Katarina Monkova
MBMilan Balara
Milan Balara
Sergej HlochSergej Hloch
Sergej Hloch
JŘJan Řehoř
Jan Řehoř
MSMatej Somsak
Matej Somsak

1 October 2017 in Robotics and Computer-Integrated Manufacturing
Verified
Journal Article
Closed access
IVI. Vilček
I. Vilček
JŘJan Řehoř
Jan Řehoř
DIEGO CAROUDIEGO CAROU
DIEGO CAROU
PZP. Zeman
P. Zeman

1 January 2015 in Procedia Engineering
Verified
Journal Article
Open access
JFJaroslava Fulemova
Jaroslava Fulemova
JŘJan Řehoř
Jan Řehoř
The article is focused on the influence of the cutting edge form factor, which is usually marked as K, on tool life and roughness of machined surface during finishing milling. The K factors were 0.55, 0.6, 1.6 and 2.5 and were made by drag finishing method. The tool edge rounding was 15μm. There was used a cutter head with just one indexable insert for finishing machining. The article can answer to question, if the K factor can help to increase the tool performance, because the influence of the asymmetrical form factor will be compared with symmetric form factor, it means K = 1. Tool edge was prepared by the technology of drag finishing

10 August 2019 in Materials
Verified
Journal Article
Open access
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Jan ValíčekJan Valíček
Jan Valíček
JŘJan Řehoř
Jan Řehoř
Marta HarničárováMarta Harničárová
Marta Harničárová
Miroslav GombárMiroslav Gombár
Miroslav Gombár
Milena KušnerováMilena Kušnerová
Milena Kušnerová
AVAlena Vagaská
Alena Vagaská
The aim of the paper was to examine the influence of cutting conditions on the roughness of surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 prepared by high-velocity oxygen fuel (HVOF) technology and applied onto a standard structural steel substrate. From the results of measurements of the cutting parameters, a prediction model of the roughness parameters was created using mathematical and statistical methods. Based on a more detailed analysis and data comparison, a new method for prediction of parameters of longitudinal turning technology was obtained. The main aim of the paper was to identify the mutual discrete relationships between the substrate roughness and the machining parameters. These were the feed rate vc (m·min−1), in the case of turning and milling, and the feed rate f (mm·rev−1) and the depth of cut ap (mm). The paper compared and verified two approaches of this method, namely the mathematical statistical approach, the analytical approach and measured dates. From the evaluated and interpreted results, new equations were formulated, enabling prediction of the material parameters of the workpiece, the technological parameters and the parameters of surface quality.

6 April 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Jan ValíčekJan Valíček
Jan Valíček
Marta HarničárováMarta Harničárová
Marta Harničárová
JŘJan Řehoř
Jan Řehoř
MKMilena Kušnerová
Milena Kušnerová
Miroslav GombárMiroslav Gombár
Miroslav Gombár
AVAlena Vagaská
Alena Vagaská
In this research, the authors set out to propose a new method of predicting and adjusting the main cutting parameters of chip machining, namely spraying on the substrate. In the experiments, a total of 28 turning cuts on a Stellite 6 coating layer were realized. The base materials of the Stellite 6 layers were EN S235JRG1 and carbide WC-Co. This work aimed to find out and optimize the influence of different combinations of cutting parameters. Due to the coating solution, the work is focused on the evaluation of the roughness Ra (μm) of the turned substrate, the grain size Dgr (μm) of the spraying, the normal stress σrz (MPa), the residual stress σrez (MPa), the specific cutting force Fc (N), the quality of adhesion to the substrate Adhmp (MPa) and other parameters. For the sake of a comprehensive solution to the problem, several new predictive equations and subsequent suggestions for solutions have been derived from this research topic based on the newly obtained experimental results. The proposed models and procedures make it possible to get new results and insights into coating technologies.