2013
DOI: 10.4028/www.scientific.net/ssp.199.315
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Influence of CNC Machine Tool Technical Condition on the Geometrical Accuracy of Freeform Surfaces

Abstract: The paper presents results of diagnostic tests for a CNC machine tool used for manufacturing elements with restricted freeform surfaces. Some selected errors possible to identify and estimate in numerically controlled machine tools using a QC20-W Ballbar were described and analyzed. The following parameters were subjected to thorough analysis: roundness deviation, perpendicularity and straightness deviation, cyclic error, backlash and reversal spike. The tests made it possible to carry out a correction of sele… Show more

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Cited by 2 publications
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“…What is more, from some of these parts also high technological quality of the surface layer to reduce the costs associated with additional technological operations is required. Machining of these objects is achieved primarily through numerically controlled machine tools, and their geometric accuracy is closely related to parameters such as: technical condition of machines (machine error) (Czerech and Kaczyński, 2013), condition and type of the machining tool, machining technology parameters (Czerech et al, 2012), or the machining strategy used to create technology programs in CAM software. We can influence through using various optimization algorithms on the last of the above-mentioned parameters (Makhanov, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…What is more, from some of these parts also high technological quality of the surface layer to reduce the costs associated with additional technological operations is required. Machining of these objects is achieved primarily through numerically controlled machine tools, and their geometric accuracy is closely related to parameters such as: technical condition of machines (machine error) (Czerech and Kaczyński, 2013), condition and type of the machining tool, machining technology parameters (Czerech et al, 2012), or the machining strategy used to create technology programs in CAM software. We can influence through using various optimization algorithms on the last of the above-mentioned parameters (Makhanov, 2007).…”
Section: Introductionmentioning
confidence: 99%