The General Principles of Metallurgy – Numerical Applications section focuses on quantitative problem-solving based on thermodynamics, electrochemistry, and process calculations involved in metal extraction and refining. This module is designed for Class 11–12 students, undergraduate learners, and competitive exam aspirants, where numerical reasoning strengthens conceptual clarity.
In this section, you will practice:
Gibbs free energy (ΔG) calculations for feasibility of metallurgical reactions
Ellingham diagram–based numericals – temperature dependence and reduction prediction
Stoichiometric calculations in roasting, calcination, and reduction reactions
Electrolytic extraction numericals – charge required, mass deposited (Faraday’s laws)
Ore concentration calculations – percentage purity and yield estimation
Flux–slag composition calculations in furnace reactions
Energy and efficiency-based numericals in metallurgical processes
Competitive exam–style numerical MCQs
Previous Year Numerical Questions (PYQs) with step-by-step solutions
The content is structured to bridge theory and calculation, improve speed and accuracy, and prepare students for numerical metallurgy questions in school exams, UG assessments, NEET, JEE, and CUET.
Master numerical applications in metallurgy to gain a strong quantitative edge in Inorganic Chemistry and handle calculation-based extraction problems confidently.
Q. In the context of metallurgy, what does the term 'calcination' refer to?
A.
Heating ores in the presence of air
B.
Heating ores in the absence of air
C.
Dissolving ores in acid
D.
Melting ores to separate metals
Solution
Calcination refers to the heating of ores in the absence of air to drive off volatile substances.
Correct Answer:
B
— Heating ores in the absence of air
