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Catalogue | Course | Module

Module of

Solid Solution Strengthening

This course examines strengthening mechanisms in steel alloys through solute interactions, modeling approaches, and mechanical performance analysis.

Ferrous Metallurgy

Size Factor

Full Code

MET0202220

Module Type

E-learning

Description

Short description:
This module explores predictive models of solid solution strengthening and their application to yield strength estimation in steels.

Long description:
This module examines the mathematical models used to predict the effect of solid solution strengthening on the yield strength of steels and alloys. It introduces additive and non-linear approaches to solute interaction, analyzing how elemental concentrations influence yield strength. Learners will apply equations that incorporate atomic mismatch, modulus difference, and interaction coefficients. Through case-based examples and problem-solving activities, the module explores empirical formulations and validates model outputs against experimental data to improve prediction reliability.

What you will learn

- Apply additive and non-linear models to predict solid solution strengthening effects.
- Analyze how alloying element concentration impacts yield strength predictions.
- Interpret empirical data in relation to mathematical strengthening models.
- Evaluate the reliability of theoretical models against experimental observations.
- Use interaction coefficients to assess multi-element effects on alloy strength.
- Solve strengthening problems using provided equations and steel data sets.

Module content

EN RU CN

Learning Outcomes

Applied Metallurgy
3

Understands the principles of alloying to create steel with desired properties.

2
Able to select and design steel alloys for specific applications, considering factors like strength, corrosion resistance, and heat resistance.

3
Able to analyse steel microstructures to assess material properties.

2

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