JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Pre-requisites

Dynamics of Machinery

Course Outcomes

At the end of this course the student shall be able to:

• Understand the types of maintenance used and its significance, role of condition based maintenance in industries, familiarize with different condition monitoring techniques and its advantages in industries.
• Implement the basic signal processing techniques.
• Understand the role of vibration monitoring, its methodology and its use in condition monitoring of rotating and reciprocating machines.
• Understand the significance of mechanical fault diagnosis and non-destructive testing techniques in monitoring and maintenance.
• Study condition monitoring of rolling element bearing, gears and tool condition monitoring techniques in machining.

UNIT - I

Introduction to maintenance and condition based maintenance Definition, system approach, objectives, responsibilities of maintenance department, maintenance strategies, principles of maintenance, concepts of maintainability, availability and reliability, implementation of CBM, comparison of CBM with other maintenance techniques and case studies (overview). Introduction to condition monitoring Basic concept, techniques - visual monitoring, temperature monitoring, vibration monitoring, lubricant monitoring, crack monitoring, thickness monitoring, noise and sound monitoring.

UNIT - II

Basic signal processing techniques Probability distribution and density, Fourier analysis, Hilbert Transform, Cepstrum analysis, Digital filtering, Deterministic/random signal separation, Time- frequency analysis. Wavelet Transform Introduction to Wavelets, Continuous Wavelet Transform (CWT), Discrete Wavelet Transform (DWT), Wavelet Packet Transform (WPT), types of wavelets – Haarwavelets, Shannon wavelets, Meyer wavelets, Daubechies wavelets, Coifmann wavelets and applications of wavelets.

UNIT - III

Vibration Monitoring Introduction, vibration data collection, techniques, instruments, transducers, selection, measurement location, time domain analysis, frequency domain analysis, time-frequency domain analysis and commonly witnessed machinery faults diagnosed by vibration analysis. Rotating and reciprocating machines Vibration signals from rotating and reciprocating machines – signal classification, signals generated by rotating machines, signals generated by reciprocating machines.

UNIT - IV

Mechanical fault diagnosis Wear monitoring and lubricant analysis - sources of contamination, techniques, Spectrometric Oil Analysis Procedure (SOAP) and ferrography. Nondestructive testing techniques Measurement of surface and subsurface flaws – liquid penetrant inspection, eddy current inspection, radiographic inspection, ultrasonic inspection.

UNIT - V

Condition monitoring of rolling element bearings and gear Introduction, construction, types of faults, rolling element bearing diagnostics and gear diagnostics. Tool wear monitoring Introduction, techniques and case studies. 2 hours

R19 M.Tech. Machine Design

TEXT BOOKS:

• 1. Robert Bond Randall – Vibration-Based Condition Monitoring – Industrial, Aerospace and Automotive applications, John Wiley & Sons Ltd., 2011
• 2. R.A.Collacot – Mechanical Fault Diagnosis – Chapman and Hall Ltd., 1977.
• 3. ISTE Course material on Condition Monitoring.
• 4. R.C.Mishra, K.Pathak – Maintenance Engineering and Management, Prentice Hall of India Pvt. Ltd., 2002.
• 5. K. P. Soman, K. I. Ramachandran, N. G. Resmi – Insight into wavelet from theory to practice, Third Edition, Prentice Hall of India, ISBN: 978-81-203-4053-4

REFERENCE BOOKS:

• 1. Dr. K.Balaveera Reddy, ISTE Summer School on Machinery Diagnostics and Preventive Maintenance, KREC, Surathkal, June 19-25, 1995.
• 2. Dr. A.Ramachandra, ISTE-STTP on Maintenance of Machinery, SJCE, Mysore, June 18-31, 2000.
• 3. John S.Mitchell, Introduction to Machinery Analysis and Monitoring, Penn Well Books, 1993. R19 M.Tech. Machine Design M. TECH. II Year I Sem. (MACHINE DESIGN)