Substitutive models of press deflections for efficient numerical die camberingShow others and affiliations
2023 (English)In: 42ND CONFERENCE OF THE INTERNATIONAL DEEP DRAWING RESEARCH GROUP / [ed] Asnafi, N Lindgren, LE, IOP PUBLISHING LTD , 2023, Vol. 1284, article id 012060Conference paper, Published paper (Refereed)
Abstract [en]
Cost and time for stamping die tryouts are significant within the car industry. A major contributing factor is that elastic deflections of stamping dies and presses are usually not considered during the virtual die design and forming simulation phase. Active surfaces of stamping dies are only cambered based on previous experiences of tool types and stamping presses. However, almost all stamping dies and presses are unique, and available experiences are not valid for new sheet materials. This leads to component deviations and often several loops of tool adjustments are needed. Previously partners within the SMART Advanced Manufacturing research project CAMBER have developed advanced deflection measuring devices to quantify the elastic deformations of stamping presses. Using these measurements, cambering methodologies can be utilized in sheet metal forming simulations. In this paper numerical substitutive stamping press models are described which are capable of compensating for measured stamping press dynamics. The result show that a numerical compensated tool can improve the contact by over 80% compared to the corresponding contact without compensation.
Place, publisher, year, edition, pages
IOP PUBLISHING LTD , 2023. Vol. 1284, article id 012060
Series
IOP Conference Series-Materials Science and Engineering, ISSN 1757-8981
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:bth-25245DOI: 10.1088/1757-899X/1284/1/012060ISI: 001017824300060OAI: oai:DiVA.org:bth-25245DiVA, id: diva2:1786229
Conference
42nd Conference of the International-Deep-Drawing-Research-Group (IDDRG), JUN 19-22, 2023, Lulea, SWEDEN
Projects
Camber
Note
This work has been conducted under the CAMBER European research project; a project funded under the SMART EUREKA CLUSTER on Advanced Manufacturing programme
2023-08-082023-08-082023-08-08Bibliographically approved