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Course Detail

Course Name Smart Materials and Shape Memory Alloys
Course Code 23ME801
Credits 4

Objectives and Outcomes

Course Objective

  • To study various types of smart materials used in engineering application
  • Analyse, interpret and study the processing of smart materials.
  • Assess which methods of characterisation are appropriate for different material combinations
  • Get knowledge of the use of smart materials as sensors and actuators.

Course Outcome

After successful completion of the course, Students will be able to:

S.No. Course Outcomes Knowledge level
[Bloom’s Taxonomy]
CO01 Describe the properties and applications of smart materials Understand
CO02 Analyse the manufacturing route for smart materials Evaluate
CO03 Study the properties, types and fabrication of shape memory alloys Understand
CO04 Discuss the application of shape memory alloys in various industries Analyze
CO05 Understand the properties and application of Electro-rheological and Magneto Rheological Fluids Apply


  • Overview of smart materials, Traditional v/s Smart systems, Smart sensors and actuators, Smart materials for sensing and actuating, Direct effect and converse effect, Smart actuators.
  • Piezoelectric materials, piezoceramic actuator, Constitutive relationship, Piezo ceramic polymers and composites, Bio morphs, and piezo stacks.
  • Magnetostriction, magnetostrictive materials, Butterfly curve, applications. Active smart polymers, classification of electro-active polymers, Comparison of EEAPS and IEAP applications, IPMC – actuators.
  • Shape memory effect (SME), alloys with SME, one–way SME, Pseudo elasticity, two–way SME, Applications of SMA, Nitinol, Copper-based SMA, and Iron-based SMA. Other SMA materials. Phenomenology of shape memory alloys, Manufacturing of SMA, Mechanical and thermal characterisation of shape memory alloys.
  • Electro-rheological Fluids, Magneto Rheological Fluids. Self-Sensing Piezoelectric Transducers, Energy Harvesting Materials, Self-Healing Polymers, Intelligent System Design, Emergent System Design

Evaluation Pattern

Component Weightage
Cumulative Internal Examination [CIE] (70%) 
First Assessment Examination 15
Second Assessment Examination 15
Continuous Assessment (CA) – Theory 20
Semester End Examination [SEE] (30%) 
End semester exam 50
Note: Project/term papers may be given wherever it is applicable as a part of the CA


  • Brian Culshaw, Smart Structures and Materials, Artech House, 2000
  • Gauenzi, P., Smart Structures, Wiley, 2009
  • Cady, W. G., Piezoelectricity, Dover Publication
  • Antonio Concilio, Vincenza Antonucci, Ferdinando Auricchio, Leonardo Lecce, Elio Sacco., Shape memory alloy engineering for aerospace, structural, and bio-medical applications, Second edition, 2021.

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