Course

Unit 1

Computer Aided Inspection: High precision measurements – interfacing – software metrology – Automated visual inspection in manufacturing, contact and non-contact type inspection methods, Electrical field techniques, radiation techniques, ultrasonic – Atomic Force Microscopes (AFM), Talysurf instruments. Laser Metrology: Laser Interferometer, Alignment Telescope, laser scanners. On-line and in-process measurements – diameter, surface roughness, Micro holes, surface topography measurements, straightness and flatness measurement, speckle measurements

Unit 2

Coordinate Measuring Machine: CMM Types, Applications – Non-contact CMM using Electro optical sensors for dimensional metrology – Non-contact sensors for surface finish measurements – Measurements / programming with CNC CMM – Performance evaluations – Measurement integration. Machine Vision: Image Acquisition and Processing – Binary and gray level images, image segmentation and labelling, representation and interpretation of colours.

Unit 3

Edge detection techniques, Normalization, Grey scale correlation – Reflectance map concepts; surface roughness and texture characterization – photogrammetry. Application of Machine Vision in inspection – Measurement of length, diameters, Surface roughness – automated visual inspection – 3D and dynamic feature extraction. On-line Quality control: On-line feedback quality control variable characteristics – control with measurement interval, one unit, and multiple units control systems for lot and batch production.

Course Objectives

• To impart knowledge on the fundamentals of high precision measurements, laser metrology and Coordinate Measuring Machine (CMM)
• To facilitate an understanding on functioning and applications of machine vision system for quality control

Course Outcomes

• CO1: Understand the various methods of high precision measurements and Ultrasonic techniques
• CO2: Apply the methods of laser interferometry, Atomic Force techniques to measure surface topography and interpret the results
• CO3: Understand and apply suitable programming commands to measure the critical features of a component using CMM
• CO4: Select suitable Machine Vision system for image acquisition, processing and interpret the results for on-line quality control

CO – PO Mapping

Textbook(s)

• Bechwith-Marangoni-Lienhard, “Mechanical Measurements”, Pearson Education Asia, Sixth Edition, 2009.
• Marshall A. D. and Martin R. R. – ‘Computer Vision, Models and Inspection’ – World Scientific – 1998

Reference(s)

• NelloZuech – ‘Understanding and Applying Machine Vision’ – Marcel Dekker – 2000 – Second Edition
• John A. Bosch, Giddings, and Lewis Dayton – ‘Coordinate Measuring Machines and Systems’ – Marcel Dekker – 1999
• ASTE – ‘Handbook on Industrial Metrology’ – Prentice Hall – 1992

Evaluation Pattern