Numerical Investigation of the Effect of Rolling on the Localized Stress and Strain Induction for Wire + Arc Additive Manufactured Structures

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • M. Abbaszadeh
  • J. R. Hönnige
  • F. Martina
  • L. Neto
  • N. Kashaev
  • P. Colegrove
  • S. Williams
  • B. Klusemann

Cold rolling can be used in-process or post-process to improve microstructure, mechanical properties and residual stress in directed-energy-deposition techniques, such as the high deposition rate wire + arc additive manufacturing (WAAM) process. Finite element simulations of the rolling process are employed to investigate the effect of rolling parameters, in particular rolling load and roller profile radius on the residual stress field as well as plastic strain distribution for the profiled roller. The results show the response to rolling of commonly used structural metals in WAAM, i.e., AA2319, S335JR steel and Ti-6Al-4V, taking into account the presence of residual stresses. The rolling load leads to changes in the location and the maximum value of the compressive residual stresses, as well as the depth of the compressive residual stresses. However, the roller profile radius only changes the maximum value of these compressive residual stresses. Changing the rolling load influences the equivalent plastic strain close to the top surface of the wall as well as in deeper areas, whereas the influence of the roller profile radius is negligible. The plastic strain distribution is virtually unaffected by the initial residual stresses prior to rolling. Finally, design curves were generated from the simulations for different materials, suggesting ideal rolling load and roller profile combinations for microstructural improvement requiring certain plastic strains at a specific depth of the additive structure.

OriginalspracheEnglisch
ZeitschriftJournal of Materials Engineering and Performance
Jahrgang28
Ausgabenummer8
Seiten (von - bis)4931-4942
Anzahl der Seiten12
ISSN1059-9495
DOIs
PublikationsstatusErschienen - 15.08.2019

Bibliographische Notiz

Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme in the project LASIMM (Large Additive Subtractive Integrated Modular Machine) under Grant Agreement No. 723600 which is gratefully acknowledged. In addition, the authors thank Stefan Riekehr for conducting the compression tests to obtain the required material data for the simulation.

Publisher Copyright:
© 2019, The Author(s).

Dokumente

DOI

Zuletzt angesehen

Publikationen

  1. Investing into third generation nuclear power plants - Review of recent trends and analysis of future investments using Monte Carlo Simulation
  2. Professionalisierung von Sachunterrichtsstudierenden durch transdisziplinäre Projektarbeit im Kontext von Bildung für nachhaltige Entwicklung
  3. Labor market adjustments after a large import shock: Evidence from the German clothing industry and the WTO Agreement on Textiles and Clothing
  4. Noah's ark or world wild web? Cultural perspectives in global scenario studies and their function for biodiversity conservation in a changing world
  5. Do sustainable institutional investors influence senior executive compensation structures according to their preferences? Empirical evidence from Europe
  6. Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition
  7. A temporal analysis of how entrepreneurial goal intentions, positive fantasies, and action planning affect starting a new venture and when the effects wear off.
  8. Using structure biodegradability relationships for environmentally benign design of organosilicons – An experimental comparison of organosilicons and their carbon analogues
  9. Evaluation eines Interventionsansatzes zur Verbesserung von Motivation und motivationsförderlichem Unterrichtshandeln von Lehrkräften auf Basis der Zielorientierungstheorie
  10. “The whole is greater than the sum of its parts” – Exploring teachers’ technology readiness profiles and its relation to their emotional state during COVID-19 emergency remote teaching
  11. Temporal dynamics and ecotoxicological risk assessment of personal care products, phthalate ester plasticizers, and organophosphorus flame retardants in water from Lake Victoria, Uganda
  12. Increasing personal initiative in small business managers or owners leads to entrepreneurial success: A theory-based controlled randomized field intervention for evidence-based management
  13. Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning