Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing

Research output: Journal contributionsJournal articlesResearch

Standard

Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing. / Escobar, Julian; Gwalani, Bharat; Silverstein, Joshua et al.
In: Materials Characterization, Vol. 202, 112999, 01.08.2023.

Research output: Journal contributionsJournal articlesResearch

Harvard

Escobar, J, Gwalani, B, Silverstein, J, Ajantiwalay, T, Roach, C, Bergmann, L, dos Santos, JF, Maawad, E, Klusemann, B & Devaraj, A 2023, 'Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing', Materials Characterization, vol. 202, 112999. https://doi.org/10.1016/j.matchar.2023.112999

APA

Escobar, J., Gwalani, B., Silverstein, J., Ajantiwalay, T., Roach, C., Bergmann, L., dos Santos, J. F., Maawad, E., Klusemann, B., & Devaraj, A. (2023). Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing. Materials Characterization, 202, Article 112999. https://doi.org/10.1016/j.matchar.2023.112999

Vancouver

Escobar J, Gwalani B, Silverstein J, Ajantiwalay T, Roach C, Bergmann L et al. Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing. Materials Characterization. 2023 Aug 1;202:112999. doi: 10.1016/j.matchar.2023.112999

Bibtex

@article{f40ec7defe01444386495073c62c7119,
title = "Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing",
abstract = "Friction stir processing (FSP) has been increasingly adopted for joining and processing materials in automotive, aerospace, and industrial construction. During FSP, a dynamic competition between high-speed shear deformation and deformation-induced heating brings about a complex competition between multiple dynamic microstructural evolution mechanisms making it difficult to predict the microstructural evolution pathway. Hence, improved understanding of microstructural evolution mechanisms during FSP can be beneficial for continued growth in the adoption of FSP for demanding applications of future. Towards this goal, this study uses a model binary Cu – 50 at.% Ni alloy to clarify the effect of single and double pass FSP on the microstructural evolution of a coarse grained and compositionally heterogeneous cast microstructure. High energy synchrotron X-ray diffraction, electron backscatter diffraction, and nanoindentation are used to clarify the microstructural evolution due to FSP. The process of compositional homogenization of as-cast segregations is studied by energy dispersive spectroscopy and atom probe tomography. Our results show that a single fast FSP pass at 30 mm.s−1 produces a 100 μm deep layer of submicrometric and hall-petch hardened CuNi grains. The initial cast compositional heterogeneities in a micrometric scale is rapidly transformed to nano-sized domains, mainly confined at grain boundaries. Double pass FSP increases the penetration depth of the processed layer and leads to a 2.9 times grain growth relative to single pass FSP. Grain fragmentation, discontinuous dynamic recrystallization, grain growth, and twinning mechanisms are discussed. These results highlight the value of FSP for ultrafast grain refinement and compositional homogenization of cast alloys.",
keywords = "Engineering, Discontinuous dynamic recrystallization, Friction stir processing, Miscible alloys, Synchrotron X-ray diffraction",
author = "Julian Escobar and Bharat Gwalani and Joshua Silverstein and Tanvi Ajantiwalay and Christian Roach and Luciano Bergmann and {dos Santos}, {Jorge F.} and Emad Maawad and Benjamin Klusemann and Arun Devaraj",
note = "Publisher Copyright: {\textcopyright} 2023",
year = "2023",
month = aug,
day = "1",
doi = "10.1016/j.matchar.2023.112999",
language = "English",
volume = "202",
journal = "Materials Characterization",
issn = "1044-5803",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Rapid grain refinement and compositional homogenization in a cast binary Cu50Ni alloy achieved by friction stir processing

AU - Escobar, Julian

AU - Gwalani, Bharat

AU - Silverstein, Joshua

AU - Ajantiwalay, Tanvi

AU - Roach, Christian

AU - Bergmann, Luciano

AU - dos Santos, Jorge F.

AU - Maawad, Emad

AU - Klusemann, Benjamin

AU - Devaraj, Arun

N1 - Publisher Copyright: © 2023

PY - 2023/8/1

Y1 - 2023/8/1

N2 - Friction stir processing (FSP) has been increasingly adopted for joining and processing materials in automotive, aerospace, and industrial construction. During FSP, a dynamic competition between high-speed shear deformation and deformation-induced heating brings about a complex competition between multiple dynamic microstructural evolution mechanisms making it difficult to predict the microstructural evolution pathway. Hence, improved understanding of microstructural evolution mechanisms during FSP can be beneficial for continued growth in the adoption of FSP for demanding applications of future. Towards this goal, this study uses a model binary Cu – 50 at.% Ni alloy to clarify the effect of single and double pass FSP on the microstructural evolution of a coarse grained and compositionally heterogeneous cast microstructure. High energy synchrotron X-ray diffraction, electron backscatter diffraction, and nanoindentation are used to clarify the microstructural evolution due to FSP. The process of compositional homogenization of as-cast segregations is studied by energy dispersive spectroscopy and atom probe tomography. Our results show that a single fast FSP pass at 30 mm.s−1 produces a 100 μm deep layer of submicrometric and hall-petch hardened CuNi grains. The initial cast compositional heterogeneities in a micrometric scale is rapidly transformed to nano-sized domains, mainly confined at grain boundaries. Double pass FSP increases the penetration depth of the processed layer and leads to a 2.9 times grain growth relative to single pass FSP. Grain fragmentation, discontinuous dynamic recrystallization, grain growth, and twinning mechanisms are discussed. These results highlight the value of FSP for ultrafast grain refinement and compositional homogenization of cast alloys.

AB - Friction stir processing (FSP) has been increasingly adopted for joining and processing materials in automotive, aerospace, and industrial construction. During FSP, a dynamic competition between high-speed shear deformation and deformation-induced heating brings about a complex competition between multiple dynamic microstructural evolution mechanisms making it difficult to predict the microstructural evolution pathway. Hence, improved understanding of microstructural evolution mechanisms during FSP can be beneficial for continued growth in the adoption of FSP for demanding applications of future. Towards this goal, this study uses a model binary Cu – 50 at.% Ni alloy to clarify the effect of single and double pass FSP on the microstructural evolution of a coarse grained and compositionally heterogeneous cast microstructure. High energy synchrotron X-ray diffraction, electron backscatter diffraction, and nanoindentation are used to clarify the microstructural evolution due to FSP. The process of compositional homogenization of as-cast segregations is studied by energy dispersive spectroscopy and atom probe tomography. Our results show that a single fast FSP pass at 30 mm.s−1 produces a 100 μm deep layer of submicrometric and hall-petch hardened CuNi grains. The initial cast compositional heterogeneities in a micrometric scale is rapidly transformed to nano-sized domains, mainly confined at grain boundaries. Double pass FSP increases the penetration depth of the processed layer and leads to a 2.9 times grain growth relative to single pass FSP. Grain fragmentation, discontinuous dynamic recrystallization, grain growth, and twinning mechanisms are discussed. These results highlight the value of FSP for ultrafast grain refinement and compositional homogenization of cast alloys.

KW - Engineering

KW - Discontinuous dynamic recrystallization

KW - Friction stir processing

KW - Miscible alloys

KW - Synchrotron X-ray diffraction

UR - http://www.scopus.com/inward/record.url?scp=85160344867&partnerID=8YFLogxK

U2 - 10.1016/j.matchar.2023.112999

DO - 10.1016/j.matchar.2023.112999

M3 - Journal articles

VL - 202

JO - Materials Characterization

JF - Materials Characterization

SN - 1044-5803

M1 - 112999

ER -

Recently viewed

Activities

  1. Bridges or blocks: How objects cross or enact boundaries in interorganizational teams
  2. Reforming from Within : Lessons of Institutional Transformation in a Climate of Systemic Change
  3. Computer Simulation as media of knowledge production in the practice of quantum theory
  4. Migrations of Knowledge - Migknow 2014
  5. Workshop on Family Migration Processes in a Comparative Perspective - 2018
  6. 27th International Conference on System Theory, Control and Computing - ICSTCC 2023
  7. Blogs in the Foreign Language Classroom
  8. Enabling Leadership for Transformational Teaching and Learning for sustainable development (ELTT) Workshop
  9. From Podcast to Simulation Projects - Web 2.0 Projects in the Secondary EFL Classroom
  10. The link between in- and external rotation of the auditor and the quality of financial accounting and audit
  11. The efficacy of an internet- and mobile-based stress management intervention in employees in different guidance formats: the results of three randomised controlled trials
  12. Workshop "Digital Art History: Challenges, Tools and Practical Solutions" - 2011
  13. Learning Processes in a Video-based Learning Environment: What do teachers think and feel when they observe their own teaching or that of others?
  14. Kafka’s bestiary of organizing
  15. MECS Conference: Dealing with Climate Change. Calculus & Catastrope in the Age of Simulation - 2015
  16. Robots versus Machines
  17. Elsevier B.V. (Externe Organisation)
  18. Continuous Innovation through Modular Upgradeability: How Software Upgrades Affect Consumer Product Valuations
  19. How stereotypes affect grading and tutorial feedback: Shifting evaluations or shifting standards?
  20. Digital platforms as cooperatives and digital project communities?

Publications

  1. Deconstructing the Theoretical Language of Process Research
  2. Computational modeling of amorphous polymers
  3. Educational reconstruction as model for the theory-based design of student-centered learning environments in electrical engineering courses
  4. E-stability and stability of adaptive learning in models with private information
  5. Developing a sustainable platform for entity annotation benchmarks
  6. Gaining deep leverage? Reflecting and shaping real-world lab impacts through leverage points
  7. Action rate models for predicting actions in soccer
  8. Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
  9. Recontextualizing Anthropomorphic Metaphors in Organization Studies
  10. Interactions between ecosystem properties and land use clarify spatial strategies to optimize trade-offs between agriculture and species conservation
  11. Global fern and lycophyte richness explained: How regional and local factors shape plot richness
  12. A Column Generation Approach for Bus Driver Rostering Problems
  13. The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs
  14. Knowledge-Enhanced Language Models Are Not Bias-Proof
  15. Modern Baselines for SPARQL Semantic Parsing
  16. WHICH ESTIMATION SITUATIONS ARE RELEVANT FOR A VALID ASSESSMENT OF MEASUREMENT ESTIMATION SKILLS
  17. Repeat Receipts: A device for generating visible data in market research focus groups
  18. Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach
  19. Species constancy depends on plot size - A problem for vegetation classification and how it can be solved
  20. Chapter 9: Particular Remedies for Non-performance: Section 2: Withholding Performance
  21. A Comparative Study for Fisheye Image Classification
  22. Creating regional (e-)learning networks
  23. Perfectly nested or significantly nested - an important difference for conservation management
  24. Beyond Path Dependency
  25. An analytical approach to evaluating monotonic functions of fuzzy numbers

Press / Media

  1. Rio+20