The paper presents an innovative approach implemented in QForm UK Extrusion FEM software to analyse one of the core defects encountered in profile extrusion known as billet skin defect. The validation of the algorithm has been performed based on a number of experimental case studies taken from the literature [1,2]. Additionally, the sensitivity of the accuracy of the results to the variation in initial parameters has been analysed for both types of profile shapes: solid and hollow. Based on this, practical recommendations have been formalised for the successful industrial use of the presented algorithm.
Kniazkin I., Pelaccia R., Negozio M., Di Donato S., Donati L., Reggiani B., et al. (2023). Investigation of the skin contamination predictability by means of QForm UK extrusion code. Millersville, PA 17551 : Association of American Publishers [10.21741/9781644902479-59].
Investigation of the skin contamination predictability by means of QForm UK extrusion code
Di Donato S.Investigation
;Donati L.Conceptualization
;
2023
Abstract
The paper presents an innovative approach implemented in QForm UK Extrusion FEM software to analyse one of the core defects encountered in profile extrusion known as billet skin defect. The validation of the algorithm has been performed based on a number of experimental case studies taken from the literature [1,2]. Additionally, the sensitivity of the accuracy of the results to the variation in initial parameters has been analysed for both types of profile shapes: solid and hollow. Based on this, practical recommendations have been formalised for the successful industrial use of the presented algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
