Syllabus — Applied Engineering Materials (AR109)
Official GGSIPU syllabus for the B.Tech Artificial Intelligence and Data Science 2026-30 batch (first year, under USAR), applicable from the academic session 2026-27.
L 3 C 3
Teachers Continuous Evaluation: as per university examination norms. End Term Theory Examination: as per university examination norms.
Course outcomes
- Ability of students to understand the basic concepts of engineering materials, their structure and properties. [K2, K3]
- Ability of students to understand and analyze the properties and applications of metals. [K2,K3,K4]
- Ability of students to understand and analyze the properties and applications of nonmetals, composites and smart materials. [K2,K3,K4]
- Ability of students to understand about the characterization techniques and their implications to analyze the materials to be applied in different fields. [K2,K3,K4,K5]
Unit I (8 lectures)
Introduction to Engineering Materials:Types of Materials: Metals, ceramics, polymers, semiconductors and composites and their structure, properties, and typical applications. Bonding and Structure: Metallic, covalent, ionic, and van der Waals bonds; implications for material behaviour. Crystallography: Study unit cell configurations, crystal lattices, grain boundaries, and common defects like vacancies and dislocations. Mechanical Behaviour: study of stress-strain curves, modulus of elasticity, yield and tensile strength, ductility, hardness, brittleness, toughness and fatigue; Nanomaterials: Properties at the nanoscale, top-down vs. bottom-up fabrication.
Unit II (8 lectures)
Metals and Alloys: Metals, Phase diagrams, Gibb’s phase rule, Unary and binary phase diagrams, Fe-Fe3 C phase diagram; ferrous metals: cast irons, effect of alloying element on iron, relationship between the phase diagrams and properties of alloys, Time temperature transformation (TTT) diagram, heat treatment of steels: annealing, normalizing, hardening, tempering, case hardening, high strength low alloy steel (HSLA), non-ferrous metal alloys: aluminium alloys, brasses, bronzes etc. Shape Memory Alloys.
Unit III (8 lectures)
Non-metals, Composites and Smart Materials: Ceramics: properties, classification, and applications, Glasses: composition, characteristics, and engineering uses; Polymers: thermoplastics, thermosets, elastomers; basic properties and applications. Composites: Matrix and reinforcement, classification of composites: particle-reinforced, fiber-reinforced, hybrid composites, metal matrix composites, ceramic matrix composites, polymer matrix composites, carbon-carbon composites and nano-composites. Smart materials: Piezoelectric, thermoelectric, and optoelectronic materials, thermochromic, electrochromic, and photochromic materials.
Unit IV (8 lectures)
Characterization of Materials: Microscopy Techniques: Principles, magnification, resolution limits of Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM). Spectroscopy Techniques: Energy Dispersive X-ray Spectroscopy (EDS/EDX): Elemental composition in conjunction with SEM; Infrared Spectroscopy (IR) and UV-Visible Spectroscopy; X-ray Diffraction (XRD); Mechanical and surface characterization: Hardness, tensile and impact testing, surface roughness and wettability.
Textbooks
- Shackelford, J. F. (2023). Introduction to materials science for engineers (9th ed.). Pearson Education.
- Callister, W. D., & Rethwisch, D. G. (2018). Materials science and engineering: An introduction (10th ed.). Wiley.
- Budinski, K. G., & Budinski, M. K. (2016). Engineering materials: Properties and selection (9th ed.). Pearson Education.
- Smith, W., & Hashemi, J. (2023). Foundations of materials science and engineering (7th ed.). McGraw Hill.
References
- Ashby, M. F., & Jones, D. R. H. (2012). Engineering materials 1: An introduction to properties and design (4th ed.). Elsevier.
- Kaur, H. (2020). Instrumental methods of chemical analysis (13th ed.). Pragati Prakashan.
- Kumar, U., & Sonkar, P. K. (2024). Smart materials for science and engineering. Wiley.