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Metallic Solids02:37

Metallic Solids

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Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability....
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Optimizing 3D Printed Metallic Object's Postprocessing: A Case of Gamma-TiAl Alloys.

M A K Chowdhury1, Amm Sharif Ullah2, Roberto Teti3

  • 1Faculty of Science and Technology, Federation University, Mt Helen, VIC 3350, Australia.

Materials (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

Electron Beam Melting (EBM) fabricates Gamma-TiAl alloys but requires post-processing. This study optimizes turning conditions to improve surface finish and reduce cutting forces for these difficult-to-cut materials.

Keywords:
3D printingcutting forceelectron beam melting (EBM)postprocessingsurface roughnessturningγ-TiAl

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Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Additive Manufacturing

Background:

  • Gamma-TiAl (γ-TiAl) alloys are crucial for aerospace, defense, biomedical, and marine applications.
  • Electron Beam Melting (EBM) is a key additive manufacturing process for these alloys, but it results in poor surface finish requiring post-processing.
  • γ-TiAl alloys are challenging to machine, necessitating optimized post-processing techniques.

Purpose of the Study:

  • To investigate and optimize the turning post-processing of cylindrical γ-TiAl specimens fabricated by EBM.
  • To determine the optimal cutting conditions (speed, depth of cut, feed rate, insert radius, coolant flowrate) for improving surface finish and reducing cutting forces.
  • To utilize fuzzy logic (triangular fuzzy numbers) to analyze the effects of cutting parameters and establish possibility distributions.

Main Methods:

  • Cylindrical γ-TiAl specimens were fabricated using Electron Beam Melting (EBM) with specified process parameters.
  • Turning experiments were conducted using an L36 Design of Experiment approach to systematically vary cutting conditions.
  • Surface roughness and cutting force were measured for each experimental run.
  • Possibility distributions (triangular fuzzy numbers) were constructed from experimental data to analyze parameter effects.

Main Results:

  • The study successfully elucidated the impact of various cutting conditions on surface roughness and cutting force.
  • Optimal turning parameters were identified to significantly enhance the surface finish of EBM-fabricated γ-TiAl specimens.
  • Fuzzy logic enabled a robust analysis of the complex relationships between cutting parameters and outcomes.

Conclusions:

  • Optimized post-processing via turning can overcome the surface finish limitations of EBM for γ-TiAl alloys.
  • The developed methodology using fuzzy distributions provides a framework for intelligent optimization of additive manufacturing post-processing.
  • Findings support the development of advanced systems for optimizing manufacturing processes of high-performance alloys.