PART PROGRAM DEPENDENT LOSS FORECAST FOR ESTIMATING THE THERMAL IMPACT ON MACHINE TOOLS

Autor: Eric Wenkler, S. Schroeder, Steffen Ihlenfeldt, Arvid Hellmich
Přispěvatelé: Publica
Rok vydání: 2021
Předmět:
Zdroj: MM Science Journal. 2021:4519-4525
ISSN: 1805-0476
1803-1269
DOI: 10.17973/mmsj.2021_7_2021054
Popis: During machining occurring losses conduct into the machine tool and lead to deformations that im-pair the machining accuracy. Thus, high effort is invested into the compensation of thermo-elastic er-rors. One new approach is to use the information extractable from part programs in combination with CNC controller systems to forecast occurring losses in terms of a look ahead function. The method al-lows the evaluation of part programs with respect to its thermal influence on the machine tool. There-fore, the method is applied on selected part programs, resulting loss distributions are discussed in terms of their thermal impact, and potential follow-up strategies are stated.
Databáze: OpenAIRE