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Related Concept Videos

Principal Stresses: Problem Solving01:15

Principal Stresses: Problem Solving

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When analyzing two planes intersecting at right angles under the influence of shearing, tensile, and compressive stresses, it is essential to identify principal planes, maximum shearing stress, and principal stresses. To find the principal planes, apply a formula that equates them to twice the shearing stress divided by the difference between tensile and compressive stresses.
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Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

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Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
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Principal Stresses in a Beam01:11

Principal Stresses in a Beam

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In prismatic beams subject to arbitrary transverse loading, It is essential to analyze the interaction between shear forces and bending moments in order to understand stress distribution and ensure structural integrity. The highest normal or bending stress occurs at the outer fibers of the beam, decreasing linearly to zero at the neutral axis. In contrast, shear stress peaks at the neutral axis and diminishes toward the outer surfaces.
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Bending of Members Made of Several Materials01:11

Bending of Members Made of Several Materials

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In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
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Stability of structures01:14

Stability of structures

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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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Temperature Dependent Deformation01:12

Temperature Dependent Deformation

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In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
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Universal framework for efficient estimation of stability in multi-principal element alloys.

Lin Wang1, Bo Shen2,3, Zheng-Da He1

  • 1Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, USA.

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Predicting multi-principal element alloy (MPEA) synthesizability is now feasible. A new physical model accurately forecasts MPEA stability and synthesis across vast chemical spaces, validated by experiments.

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Alloy Design

Background:

  • Predicting the synthetic accessibility of multi-principal element alloys (MPEAs) is a significant challenge in materials science.
  • Exploring the vast chemical space of MPEAs requires efficient predictive models.

Purpose of the Study:

  • To develop and validate a physical model for predicting the synthesizability and stability of MPEAs.
  • To enable accurate predictions across broad compositional and structural spaces.

Main Methods:

  • Utilizing a physical model that expresses the total energy of MPEAs as a linear combination of energies from lower-dimensional subsystems.
  • Validating the model with a large computational dataset (135,791 MPEAs) derived from density functional theory calculations.
  • Comparing model accuracy with state-of-the-art deep learning models and cluster-expansion theory.

Main Results:

  • Achieved mean absolute errors near or below 7 meV/atom in predicting MPEA energies.
  • Demonstrated high accuracy comparable to deep learning models while retaining interpretability.
  • Successfully predicted the stability of high-entropy alloys, indicating a flatter energy landscape.

Conclusions:

  • The developed physical model offers a reliable and interpretable method for predicting MPEA synthesizability and stability.
  • This approach facilitates accelerated discovery and design of novel MPEAs.
  • The model's accuracy and interpretability provide valuable insights into the factors governing alloy formation.