Improving mechanical properties of constrained friction processing Mg-Zn-Ca alloys by modifying texture using multiple pass processing

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Ting Chen
  • Banglong Fu
  • Uceu F.H.R. Suhuddin
  • Tong Shen
  • Gaohui Li
  • Emad Maawad
  • Junjun Shen
  • Jorge F dos Santos
  • Jean Pierre Bergmann
  • Benjamin Klusemann
Constrained Friction Processing (CFP), a novel friction-based technique, has been developed to efficiently process fine-grained magnesium (Mg) rods, expanding the potential applications of biodegradable Mg alloys in medical implants. This study investigates the enhancement of mechanical properties through the implementation of multiple pass CFP (MP-CFP) in comparison to the conventional single pass CFP. The results reveal a substantial improvement in compressive yield strength (CYS), ultimate compressive strength, and failure plastic strain by 11%, 28%, and 66%, respectively. A comprehensive analysis of material evolution during processing and the effects of the final microstructure on mechanical properties was conducted. The intricate material flow behavior during the final plunge stage of MP-CFP results in a reduced intensity of local basal texture and macrotexture. The diminished intensity of basal texture, combined with a low geometrical compatibility factor at the top of the rod after MP-CFP, effectively impedes slip transfer across grain boundaries. This leads to a local strain gradient along the compression direction, ultimately contributing to the observed enhancement in mechanical properties. The Mg-0.5Zn-0.3Ca (wt.%) alloy, after texture modification by MP-CFP, exhibits a competitive CYS compared with other traditional methods, highlighting the promising application potential of MP-CFP.
OriginalspracheEnglisch
ZeitschriftJournal of Materials Science and Technology
Jahrgang232
Seiten (von - bis)209-226
Anzahl der Seiten18
ISSN1005-0302
DOIs
PublikationsstatusErschienen - 10.10.2025

Bibliographische Notiz

Publisher Copyright:
© 2025

DOI

Zuletzt angesehen

Publikationen

  1. What is learned in approach-avoidance tasks? On the scope and generalizability of approach-avoidance effects
  2. Automatic Error Detection in Gaussian Processes Regression Modeling for Production Scheduling
  3. Prediction of the tool change point in a polishing process using a modular software framework
  4. Using Technologies for Foreign Language Learning in Inclusive Settings
  5. N-term approximation in anisotropic function spaces
  6. ACL–adaptive correction of learning parameters for backpropagation based algorithms
  7. An on-line orthogonal wavelet denoising algorithm for high-resolution surface scans
  8. Fostering Circularity: Building a Local Community and Implementing Circular Processes
  9. Advanced Neural Classifier-Based Effective Human Assistance Robots Using Comparable Interactive Input Assessment Technique
  10. Modeling and Performance Analysis of a Node in Fault Tolerant Wireless Sensor Networks
  11. Using trait-based filtering as a predictive framework for conservation
  12. A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data
  13. Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks
  14. Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
  15. Throttle valve control using an inverse local linear model tree based on a Fuzzy neural network
  16. A two-step approach for the prediction of mood levels based on diary data
  17. Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation
  18. Setting controller parameters through a minimum strategy with a weighted least squares method
  19. Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
  20. Discourse Analyses in Chat-based CSCL with Learning Protocols