Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras

Technology Category/ Market

Category: Applied Mechanics & Mechanical Engg | Energy Storage & Renewable Energy

Industry: Energy, Transportation, Industrial Machinery & Manufacturing, Oil, Gas and Mining Industry, Shaft Fatigue and Vibration Analysis, Sensor Integration, Real-time Testing

Applications: Shaft Fatigue Analysis, Rotating Machinery, Manufacturing Quality Control, Energy Generation, Transportation, Oil, Gas and Mining Industrial Processes, Maintenance and Safety

Market: The global automated test equipment market size was valued at $6.87 B in 2020 and is expected to expand to $8.94 B by 2028 growing at 3.3% CAGR from 2021 to 2028.

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Problem Statement

  • High-performance rotating machinery, such as compressor, turbine, generator, often experience shaft failures.
  • The shafts are subjected to both sinusoidal and random excitations, leading to fatigue cracks, which if detected early can play essential role in preventing failures & downtime.
  • Recently, vibration pattern analysis has evolved as a means to detect fatigue cracks by observing changes in dynamic stiffness & vibration patterns.
  • Conventional methods like S-N curves and fatigue tests have limitations in mimicking real-world loading conditions.
  • Therefore, there is a need of an integrated sensor system capable of measuring & recording shaft vibration, fatigue life, and strain responses during fatigue analysis.
  • The present patent addresses above mentioned challenges by relating the field of mechanics with the focus on test rig for vibration-based fatigue analysis.

Technology

The present patent disclosure describes a test rig used for analyzing the fatigue of a shaft through strain and vibration measurements. This configuration allows for the replication of real-time operating conditions of the shaft in a rotating machine, aiding in the analysis of fatigue-induced vibration patterns. Refer FIG 1 & 2.

This Test Rig Consists of:

  • A test bed;
  • A pair of first bearings to support one end of the shaft;
  • At least one load inducer that applies a static bending load to the shaft;
  • At least one non-contact magnetic shaker that generates random load patterns, simulating real-world operating conditions;
  • Multiple accelerometers, a laser vibrometer, a strain gauge, a proximity probe, and a tachometer for measuring vibrations, strains, and shaft responses
  • This test rig and method are designed for assessing the fatigue life and integrity of a shaft under various loads and conditions, enabling early detection of potential issues such as fatigue cracks.

Method for Conducting Fatigue Analysis:

  1. Positioning the Shaft: Place the shaft between the pair of first bearings.
  2. Inducing Rotary Motion: Use the motor to induce rotary motion in the shaft.
  3. Applying Static Load: A static bending load is applied to the shaft using the load inducer.
  4. Inducing Random Load Profile: Use at least one non-contact magnetic shaker to induce random load profiles onto the shaft.
  5. Analyzing Vibration Signatures: The vibration and strain responses recorded by the data acquisition system are analyzed for diagnosis and prognosis of fatigue-induced issues in the shaft, such as fatigue cracks.
  6. Estimating Fatigue Life: The method may involve estimating the fatigue life of the shaft using either a time-domain approach or a frequency-domain approach.
  7. Diagnosing Fatigue Cracks: The method may also involve diagnosing fatigue cracks in the shaft before they become critical in size using various methods, including time-domain, frequency-domain, and time-frequency domain approaches.

Key Features/ Value Proposition

User Perspective:

  • Safety is enhanced by predicting & preventing shaft failures, ensuring safer operations.
  • Cost Savings: Users save money by optimizing maintenance & reducing downtime.
  • Reliability: It improves equipment reliability, reducing unexpected breakdowns.

Technical Perspective:

  • Productivity: Industries benefit from increased productivity and quality assurance.
  • Quality Assurance: It helps identify design flaws and ensures compliance with standards.
  • Compliance: Industries can meet safety and reliability standards more effectively.

Industrial Perspective:

  • Advanced Testing: It advances fatigue analysis with modern technology.
  • Data-Driven: Emphasizes the importance of data for predictive maintenance.
  • Sensor Integration: Demonstrates the synergy between mechanical testing & sensor technology.

Questions about this Technology?

Contact for Licensing

sm-marketing@imail.iitm.ac.in
ipoffice2@iitm.ac.in

Research Lab

Prof. Seshadri Sekhar A

Department of Mechanical Engineering

Intellectual Property

  • IITM IDF Ref. 1904

  •   Patent No. 453220

Technology Readiness Level

TRL- 4

Technology validated in Lab

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