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The University of Alabama College of Engineering Department of Metallurgical and Materials Engineering

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Metallurgical and Materials Engineering

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  • Dr. Laurentiu Nastac
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Dr. Laurentiu Nastac

  • Associate Professor

Departments

  • Metallurgical and Materials Engineering

Contact Information

  • Office: 129 Bevill
  • E-mail: Send an e-mail
  • Phone: (205) 348-4844
  • Fax: (205) 348-2164

Education

  • Ph.D., Metallurgical and Materials Engineering, The University of Alabama
  • M.S., Metallurgical and Materials Engineering, The University of Alabama
  • Diploma Engineer, Metallurgical Engineering, University Politehnica Bucharest, Romania

Dr. Nastac’s research interests include:

  • Solidification Science (solidification-kinetics, convection effects on solidification processes (nucleation and growth kinetics, interface stability), microstructure evolution modeling of primary and secondary phases in various alloy systems)
  • Apply novel experimental techniques including levitation, atomization, electromagnetic stirring, ultrasonic (cavitation, shock force and acoustic streaming technologies), micro-chilling technology, mechanical shearing, etc., for understanding and control of various microscopic and macroscopic phenomena that take place during the solidification of alloys and metal-matrix-composites including microstructure evolution, interface instability of alloys, dendritic growth, segregation, cracking, hot tearing, shrinkage and porosities, mold/metal interface interactions in casting alloys, morphological transitions, etc.
  • Advanced multi-scale multi-phase multi-component modeling and simulation approaches:
    • Multi-scale Modeling of the segregation and microstructure to enhance material properties
    • Micro-modeling of the mechanical behavior of various alloy systems
    • Process modeling of complex manufacturing processes
    • Stress and deformation evolution modeling during solidification and cooling
  • Advanced metal-casting and remelting processing
  • Processing-microstructure-properties relationships utilizing computational intelligence tools such as Artificial Neural Networks (ANN), Genetic Algorithms (GA), decision trees, fuzzy logic, etc.
  • Physical metallurgy of ferrous and nonferrous alloys
  • Advanced manufacturing of specialty alloys, light alloys, metal-matrix-composites and nano-metal-matrix-composites

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