Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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693.932 PEOPLE
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Technical University of Košice

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023ANOVA analysis for estimating the accuracy and surface roughness of precisely drilled holes of steel 42CrMo4 QT7citations
  • 2020The Predictive Model of Surface Texture Generated by Abrasive Water Jet for Austenitic Steels14citations
  • 2020The Predictive Model of Surface Texture Generated by Abrasive Water Jet for Austenitic Steels14citations
  • 2019Experimental Analysis of the Influence of Factors Acting on the Layer Thickness Formed by Anodic Oxidation of Aluminium16citations
  • 2019Surface texture of S 718 after electrical discharge machining assisted with ultrasonic vibration of a tool electrode3citations
  • 2015Usage of Neural Network to Predict Aluminium Oxide Layer Thickness8citations
  • 2013Experimental Study and Modeling of the Zinc Coating Thickness14citations

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Řehoř, Jan
1 / 1 shared
Fulemová, Jaroslava
1 / 1 shared
Kutlwašer, Jan
1 / 1 shared
Kušnerová, Milena
2 / 5 shared
Valíček, Jan
2 / 10 shared
Zatloukal, Tomáš
1 / 1 shared
Harničárová, Marta
2 / 8 shared
Gombár, Miroslav
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Povolný, Michal
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Kříž, Jiří
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Kmec, Ján
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Karková, Monika
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Kadnár, Milan
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Świercz, Rafał
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Kopytowski, Adrian
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Kučerka, Daniel
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Michal, Peter
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Spišák, Emil
1 / 8 shared
Kmec, Jan
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Piteľ, Ján
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Co-Authors (by relevance)

  • Řehoř, Jan
  • Fulemová, Jaroslava
  • Kutlwašer, Jan
  • Kušnerová, Milena
  • Valíček, Jan
  • Zatloukal, Tomáš
  • Harničárová, Marta
  • Gombár, Miroslav
  • Povolný, Michal
  • Kříž, Jiří
  • Kmec, Ján
  • Karková, Monika
  • Kadnár, Milan
  • Świercz, Rafał
  • Kopytowski, Adrian
  • Kučerka, Daniel
  • Michal, Peter
  • Spišák, Emil
  • Kmec, Jan
  • Piteľ, Ján
OrganizationsLocationPeople

article

The Predictive Model of Surface Texture Generated by Abrasive Water Jet for Austenitic Steels

  • Kříž, Jiří
  • Kmec, Ján
  • Kušnerová, Milena
  • Valíček, Jan
  • Karková, Monika
  • Harničárová, Marta
  • Gombár, Miroslav
  • Vagaská, Alena
  • Kadnár, Milan
Abstract

Austenitic stainless steel belongs to the best oxidation-resistant alloys, which must function effectively and reliably when used in a corrosion environment. Their attractive combination of properties ensures their stable position in the steel industry. They belong to a group of difficult-to-cut materials, and the abrasive water jet cutting technology is often used for their processing. Samples made of stainless steel AISI 304 has been used as the experimental material. Data generated during experiments were used to study the effects of AWJ process parameters (high-pressure water volume flow rate, the diameter of the abrasive nozzle, the distance of the nozzle from the material surface, cutting head feed rate, abrasive mass flow, and material thickness) on surface roughness. Based on the analysis and interpretation of all data, a prediction model was created. The main goal of the long-term research was to create the simplest and most usable prediction model for the group of austenitic steels, based on the evaluation of the practical results obtained in the company Watting Ltd. (Budovatelska 3598/38, Preov, Slovakia) during 20 years of operation and cooperation with customers from industrial practice. Based on specific customer requirements from practice, the publication also contains specific recommendations for practice and a proposal for the classification of the predicted cut quality.

Topics
  • impedance spectroscopy
  • surface
  • stainless steel
  • corrosion
  • experiment
  • texture