Statistical analysis of input data in AWJ cutting technology
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F09%3APU82835" target="_blank" >RIV/00216305:26210/09:PU82835 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Statistical analysis of input data in AWJ cutting technology
Popis výsledku v původním jazyce
Paper provides the research focused on analysis of input data for supporting AWJ technology. There is immediate relation between species of workpiece material and final results obtained after AWJ cutting. Many variables and characteristics have big influence on quality finish and all characteristics of material kerf after abrasive water jet cutting (AWJ) process. That is why we need to make list of all inputs, set down their influence on AWJ process and make quantification and qualification also. We cansay that only experiences of elder workers or specialists allow to get right setting of all input parameters AWJ machine and to get effective production also. This output should be used for better prediction of secondary inputs (cutting conditions for setting AWJ machine), and for studying of relationship and resemblance between input "unknown" material characteristics and known material obtained from made experiments, saved into base of data.
Název v anglickém jazyce
Statistical analysis of input data in AWJ cutting technology
Popis výsledku anglicky
Paper provides the research focused on analysis of input data for supporting AWJ technology. There is immediate relation between species of workpiece material and final results obtained after AWJ cutting. Many variables and characteristics have big influence on quality finish and all characteristics of material kerf after abrasive water jet cutting (AWJ) process. That is why we need to make list of all inputs, set down their influence on AWJ process and make quantification and qualification also. We cansay that only experiences of elder workers or specialists allow to get right setting of all input parameters AWJ machine and to get effective production also. This output should be used for better prediction of secondary inputs (cutting conditions for setting AWJ machine), and for studying of relationship and resemblance between input "unknown" material characteristics and known material obtained from made experiments, saved into base of data.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JR - Ostatní strojírenství
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2009
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů