Temat: machining tool - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Energy-based characterization of precision hard machining using partially worn CBN cutting tools
Autorzy:: Grzesik, Wit
Denkena, Berend
Zak, Krzysztof
Powiązania:: https://bibliotekanauki.pl/articles/100133.pdf
Data publikacji:: 2019
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: hard machining
CBN tool
tool wear
specific energy
Opis:: This paper highlights the performance of precision hard turning with CBN cutting tools from energy point-of-view with additional tool wear effect. For this purpose several wear tests were performed during which the tool nose wear VB_C and the corresponding changes of component forces F_c, F_f and F_p were continuously measured. Based on the measured forces and geometrical characteristic of the uncut layer, specific cutting and ploughing energy were determined for several combinations of cutting parameters. Consequently, changes of energy consumption resulting from tool wear evolution for variable feed rate, depth of cut and tool nose radius were presented.
Źródło:: Journal of Machine Engineering; 2019, 19, 2; 54-62
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Autonomous machining – recent advances in process planning and control
Autorzy:: Dittrich, Marc-André
Denkena, Berend
Boujnah, Haythem
Uhlich, Florian
Powiązania:: https://bibliotekanauki.pl/articles/99503.pdf
Data publikacji:: 2019
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machine tool
process planning
adaptive machining
machine learning
Opis:: While autonomous driving has come close to reality over the recent years, machining is still characterised by many manual tasks and prone to costly errors. In this article, an overview is given about the potential of autonomous machining and uprising technologies that support this vision. For that purpose, a definition of autonomous machine tools and the required elements is presented. Next, selected elements of an autonomous machine tool, e.g. sensory machine components and control loops, are discussed. Finally, some insights into ongoing research projects regarding the use of machine learning for process planning and control are given.
Źródło:: Journal of Machine Engineering; 2019, 19, 1; 28-37
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

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