Wednesday, June 22, 2022

Mechanical Vibration

 

Introduction

    Mechanical vibration is the motion of a particle or body which oscillates about a position of equilibrium. Most vibrations in machines and structures are undesirable due to increased stresses and energy losses. It deals with the relationship between forces acting on the mechanical system and the oscillatory motion of the mechanical system about a point within the system. 

The main reasons for vibration are as follows :

  1. Unbalanced centrifugal force in the system. This is caused because of nonuniform material distribution in a rotating machine element.
  2. Elastic nature of the system.
  3. External excitation is applied to the system.
  4. Winds may cause vibrations of certain systems such as electricity lines, telephone lines, etc

 

Classification of Vibrations

Free and forced vibration

Free vibrationIf a system, after an initial disturbance, is left to vibrate on its own, the ensuing vibration is known as free vibration. No external force acts on the system. For example oscillation of the simple pendulum

Forced vibrationIf a system is subjected to an external force (often, a repeating type of force), the resulting vibration is known as forced vibration. For example oscillation that arises in machines such as diesel engines.

 

Damped and Undamped vibration

Damped vibration - If any energy is lost or dissipated in friction or other resistance during oscillation, it is called damped vibration.


Undamped vibration - If no energy is lost, the vibration is known as undamped vibration. 

Fig. Damped and Undamped Vibrations

    In many physical systems, the amount of damping is so small that it can be disregarded for most engineering purposes. However, consideration of damping becomes extremely important in analyzing vibratory systems near resonance.

Linear and nonlinear vibration

    If all the basic components of a vibratory system the spring, the mass, and the damper behave linearly, the resulting vibration is known as linear vibration.
If, however, any of the basic components behave nonlinearly, the vibration is called nonlinear vibration.

    If the vibration is linear, the principle of superposition holds, and the mathematical techniques of analysis are well developed. For nonlinear vibration, the superposition principle is not valid, and techniques of analysis are less well known.

Fig. Linear and Non Linear Vibrations

Types of Free Vibration:

   1.  Torsional Vibration:

Torsional vibration is the angular vibration of an object, commonly a shaft along its axis of rotation. It is often a concern in power transmission systems using rotating shafts or couplings where it can cause failures if not controlled. The second effect of torsional vibrations applies to passenger cars.

Fig. Torsional Vibration

    Torsional vibrations can lead to seat vibrations or noise at certain speeds. Both reduce the comfort.

2.   Axial or Longitudinal Vibrations:

    Axial vibration is a kind of longitudinal shafting vibration which occurs in the crankshaft because of the radial as well as tangential forces. 

Fig. Axial Vibration

3.   Transverse Vibrations:

    A vibration in which the element moves to and fro in a direction perpendicular to the direction of the advance of the wave.

Fig. Transverse Vibration


Vibration Measurement

 

    When faced with a vibration problem, engineers generally start by making some measurements to try to isolate the cause of the problem.  There are two common ways to measure vibrations:

 

1.  An accelerometer is a small electro-mechanical device that gives an electrical signal proportional to its acceleration.   The picture shows a typical 3 axis accelerometer. 

2.  A displacement transducer is similar to an accelerometer but gives an electrical signal proportional to its displacement.


Fig. Vibration Measurement 

 

Displacement transducers are generally preferable if you need to measure low-frequency vibrations; accelerometers behave better at high frequencies.

 

The most common procedure is to mount three accelerometers at a point on the vibrating structure, so as to measure accelerations in three mutually perpendicular directions.  The velocity and displacement are then deduced by integrating the accelerations.


Applications of Mechanical Vibrations:

The applications of Mechanical Vibrations are as follows.

  • Identification of the system: If you want to calculate the mass, stiffness, and damping of a vibratory system then you need to do the vibration analysis which is used in structural health monitoring.
  • Design of components: When you are designing the components of an automobile, you need to look at the consideration that the vibrations excited by the engine should not match with the other components and if it does, there may be a chance of failure like loosening of bolts, etc.

 

  • Vibrations may cause loosening of parts from the machine

  • If the frequency of excitation coincides with one of the natural frequencies of the system, a condition of resonance is reached, and dangerously large oscillations may occur which may result in the mechanical failure of the system.  

Stages of Vibration Analysis :

Fig. Stages of Vibration Analysis

Free vibration without damping

    To start the investigation of the mass-spring–damper assume the damping is negligible and that there is no external force applied to the mass (i.e. free vibration). The force applied to the mass by the spring is proportional to the amount the spring is stretched "x" (assuming the spring is already compressed due to the weight of the mass). The proportionality constant, k, is the stiffness of the spring and has units of force/distance (e.g. lbf/in or N/m). The negative sign indicates that the force is always opposing the motion of the mass attached to it:

        π‘­s = ‒π’Œπ”. 

    The force generated by the mass is proportional to the acceleration of the mass as given by Newton's second law of motion: 

        ∑𝑭 = π’ŽΠ° = π’ŽαΊ = (𝔁/d𝙩²). 

    The sum of the forces on the mass then generates this ordinary differential equation: 

        π’ŽαΊ π’Œπ”0.

Fig. Simple Harmonic Motion for Mass Spring System

    Assuming that the initiation of vibration begins by stretching the spring by the distance of A and releasing, the solution to the above equation that describes the motion of the mass is:

        (𝙩) = A cos(2πžΉπ’‡β‚™π™©).

    This solution says that it will oscillate with a simple harmonic motion that has an amplitude of A and a frequency of fn. The number fn is called the undamped natural frequency. For the simple mass-spring system, fn is defined as:

        π’‡β‚™ = (1/2𝞹)√(π’Œ/π’Ž) .

Parts of a Vibrating System :

    A vibratory system basically consists of three elements, namely the mass, the spring, and the damper. In a vibrating body, there is an exchange of energy from one form to another. Energy is stored by mass in the form of kinetic energy (1/2 mv2), in the spring in the form of potential energy (1/2 kx ), and dissipated in the damper in the form of heat energy which opposes the motion of the system.

Fig. Parts of Vibrating System 

Natural Frequency of Free Longitudinal Vibrations

    The natural Frequency of the Free Longitudinal Vibrations can be determined by the following methods.

1.    Equilibrium Method

2.    Energy method

3.    Rayleigh’s method

Energy methods for analysis

    For undamped free vibration, the total energy in the vibrating system is constant throughout the cycle. Therefore the maximum potential energy V,, is equal to the maximum kinetic energy T,, although these maxima occur at different times during the cycle of vibration. Furthermore, since the total energy is constant,

 T + V = constant,

and thus d/d𝙩 (T + V) = 0.

Applying this method to the case, already considered, of a body of mass m fastened to a spring of stiffness π’Œ, when the body is displaced a distance x from its equilibrium position,

strain energy (SE) in spring = ½π’Œπ”²

kinetic energy (KE) of body = ½π’Žπ”²

Hence V = ½π’Œπ”²

and T = ½π’Žπ”²

Thus  d/d𝙩  (½π’Žπ”² + ½π’Œπ”² ) = 0

that is

ẍ + (π’Œ/π’Ž)= 0, as before in equation

    This is a very useful method for certain types of problems in which it is difficult to apply Newton's laws of motion.

    Alternatively, assuming SHM, if π’™ = 𝒙ₒ cos πŸ‚𝙩

        the maximum SE, Vmax = ½π’Œπ’™²β‚’,

and

        the maximum KE, Tmax = ½π’Ž(π’™β‚’πŸ‚)².

    Thus, since Tmax = Vmax,

        ½π’Œπ’™²β‚’ = ½(π’™β‚’πŸ‚)²,

or πŸ‚ = √(π’Œ/π’Ž) rad/s.

    Energy methods can also be used in the analysis of the vibration of continuous systems such as beams.

    The frequency of vibration is found by considering the conservation of energy in the system; the natural frequency is determined by dividing the expression for potential energy in the system by the expression for kinetic energy.

Conclusion

  • Mechanical Vibration is a measurement of a periodic process of oscillations with respect to an equilibrium point.
  • We experience these mechanical vibrations in everyday life
  • There are useful as well as harmful vibrations.
  • There can be Free/Forced, Damped/Undamped, Linear/Nonlinear  OR Deterministic/Random Vibration OR combinations of these mechanical vibrations.  
  • Modeling of systems can be Single Degree of freedom, 2 DOF, Multi DOF, and Continuous Systems.

References

1)     Research on ‘Impacts of mechanical vibrations on the production machine to its rate of change of technical state’; by Ε tefΓ‘nia SalokyovΓ‘Radoslav Krehel’Martin PollΓ‘k; July 4, 2016.

2)     ‘Mechanical Vibration Sound waves are mechanical vibrations in solid, liquid or gas’; by Techniques and instrumentation in Analytical Chemistry, 2002.

3)     Research on ‘Mechanical vibration monitoring based on wireless sensor network and sparse’; Bayes. Xinjun Lei & Yunxin Wu ; EURASIP;  Journal on Wireless Communications and Networking volume 2020

4)     Research on ‘Impacts of mechanical vibrations on the production machine to its rate of change of technical state’;July, 2016 ,Advances in Mechanical Engineering 


Home Assignment Activity By - 

TYME _D_ Batch - 2_Group - 5

40 – Tanvi Shinde

44 – Shubham Pandoh

48 – Rutuja  Solankar

50 – Pushkar Sonawane

52 – Bhushan Suda

Guided By: Prof. R. K. Bhagat
















Wednesday, May 25, 2022

Industrial Internet of Things (IIoT)

 

Internet of Things

Internet of Things (IoT) defines a network of material "objects" embedded with sensors, software, and other technologies for the purpose of connecting and sharing data with other devices and systems online. These materials range from common household items to state-of-the-art industrial tools. With the advent of very cheap computer chips and the ubiquitous availability of wireless networks, it is possible to transform anything, from something as small as a tablet to something as big as an airplane, into part of the IoT. Connecting all these different devices and adding sensors to them adds a level of digital intelligence to devices that would be mute, enabling them to communicate with real-time data without involving anyone.

Fig. Use of IIoT in Industry Sector

History of IOT

The idea of ​​adding sensory and intellectual properties was first discussed in the 1980's, when some university students decided to change the Coca-Cola marketing machine to track its content remotely. But technology was great and progress was limited. The term ‘Internet of Things’ was coined by 1999 by computer scientist Kevin Ashton. While working at Procter & Gamble, Ashton proposed the inclusion of radio-frequency identification chips (RFID) chips in products to be tracked through a supply chain. He reportedly used the word 'internet' at the time in his proposal to gain the attention of management. And the speech stuck. Over the next decade, public interest in IoT technology began to emerge, with more and more connected devices coming to market.

In 2000, LG announced the first smart refrigerator, in 2007 the first iPhone was launched and in 2008, the number of connected devices exceeded the world's population. In 2009, Google began testing non-motorized vehicles and in 2011, Google's Nest smart thermostat hit the market, which allowed remote control of moderate temperatures

Working of IOT

The complete IoT system includes four different components: sensors / devices, connectivity, data processing, and user interface. Below we will briefly describe each component and what it does.

Sensor/ Devices

First, sensors or devices collect data from their location. This can be as simple as reading the temperature or as difficult as a full video feed. We use “sensors / devices,” because most sensors can be integrated or sensors can be part of a device that does more than just hear things. For example, your phone is a device with many sensors (camera, accelerometer, GPS, etc.), but your phone is not just a sensor. However, whether it is a stand-alone sensor or a full-blown device, in this first step the data is collected in an environment.

Connectivity

Next, that data is sent to the cloud, but it needs a way to get there! Sensors / devices can be connected to the cloud in a variety of ways including: mobile, satellite, Wi-Fi, Bluetooth, low power network (LPWAN), or direct internet connection via ethernet. Each option has a trade-off between power consumption and bandwidth. Choosing which communication option is best for a specific IoT application, but they all accomplish the same task: data acquisition in the cloud.

Data Processing

When data reaches the cloud, the software performs some sort of processing on it. This can be very simple, such as checking that the temperature is within the acceptable range. Or it may also be more complicated, such as using a computer video in a video to identify things (such as intruders). But what happens when the temperature is too high or when someone enters your house? This is where the user comes in.

User Interface

Next, the information is made usable by the end user in some way. This may happen with a user-alert (email, text, notification, etc.). For example, a text warning when the temperature is too high in a company's cold storage area. Also, the user may have an interface that allows him to continuously check the system. For example, a user may want to check video feeds in his or her home with a mobile app or web browser. However, it is not always the same. Depending on the IoT application, the user can also perform an action and touch the system. For example, a user may remotely adjust the temperature in a cold environment using an application on his phone. And some actions are performed automatically. Instead of waiting for you to adjust the temperature, the system can do this automatically with pre-defined rules. And instead of just calling you to report a criminal, the IoT system can also automatically notify the relevant authorities.

Industrial Internet of Things

Industrial Internet of things (IIoT) is the use of intelligent sensors and actuators to improve productivity and industrial processes. Also known as the industrial Internet or Industrial 4.0, IIoT uses the power of intelligent machines and real-time statistics to take advantage of the "dumb machines" used in industrial settings for years. The driving philosophy behind IIoT is that smart machines are not only better than humans at capturing and analysing data in real time, but also better at conveying important information that can be used to drive business decisions faster and more accurately.

Benefits of IIoT

1.    Greater energy efficiency:

Wide implementation of industry 4.0 technology in the industries made easy to make products in minimum energy as well as time hence the energy efficiency of IIoT is increased.

2.    Reduced costs:

As increased efficiency is a result of saved energy and time so the cost required to manufactured product reduces.

3.    Better quality products:

Use of machineries with the automation quality of product gets increased. For example, use of CNC machine will better quality product with same accuracy.

4.    Improved decision-making potential:

AL-MI is widely used in industries therefore, personnel error are get removed and decision making gets improved with the more and more use of IIoT.

5.    Less equipment downtime:

Most of the time equipment’s are engaged with their work so downtime reduces.

IoT reduces the time to send signals from one process to another as well as operator can handle many machines at a time efficiently. Proper planning in industry with six sigma has been added a very good impact on reducing the downtime.

In short, the automation and data-gathering capabilities of IIoT devices make for a more efficient workplace. As less energy is used, product efficiency is enhanced, and metrics are assessed, industrial businesses have the potential to streamline practices like never before. Since every downtime incident causes an average loss of $17,000, the application of IIoT in predictive maintenance alone can mean substantial savings. 

Applications: 

1. Real time asset monitoring

Manufacturers use IOT assets to connect machines and system. This is a paradigm shift that enables real-time asset monitoring. The combined assets provide the ability to monitor device reliability, compliance and security in real time. Asset monitoring is commonly used in remote manufacturing to help sensor track the production process and send status to appropriate personnel. It also provides a platform for managing and controlling assets to improve operation and production. Enables proactive and timely manufacturing decisions. Manufacturing inventory tracking makes it easy to monitor the status of key equipment and finished products. Expand logistics, maintain inventory and avoid quality issues.

Saviant's IoT consultants built this robust IoT solution using the Azure IoT platform, which connects 50,000 smart meters and processes billions of data. Smart metering solutions not only save billions of litres of water, but also accurately bill, water usage, leaks, waste, theft, meter status, and more operational efficiency KPI revenue and improved real-time visibility. Let's take a quick look at the robust architecture of this smart metering solution. Take a quick look at the robust architecture of the solution.


Fig. IIOT Based Smart Watering System

2. Predictive maintenance of assets

Millions of dollars are spent operating and maintaining the machine. However, timely equipment maintenance can prevent interruption in the production process. Manufacturers can also significantly reduce operating costs, if they can identify before downtime occurs. Sensor, data analysis, and cameras in IIOT allow machines to predict failures before they occur. Such detections help create strategic maintenance schedules that can only be performed when needed. Consider repairing the levee breach before the interruption occurs. Manufacturers are using IOT to adopt a vibrant, competent, automated manufacturing process with autonomous maintenance schedules, rather than relying on unreliable maintenance personnel. This triggers a better planned maintenance process and promises significant cost saving. This reduces equipment downtime and extends machine life.

Wind Farms generate large amount of structured and unstructured WTG data. This data is used to trigger alarms in the event of a failure such as a mechanical component failure, generator malfunction, or gearbox failure. A smart solution developed by the Saviant team enables wind farm operations teams to take swift and smart actions to minimize asset disruption and avoid future operational disruption.

Fig. Azure Data Management platform & Business Intelligence solution architecture diagram


References:

1.    ‘The Industrial Internet of Things’; paper by Huge Boyes, Bil Hallaq, Joe Cunninghum, Tim Watson; 2018.

2.   ‘Research on the Smart Medical System Based on NB-IoT Technology’; paper by Yanming Cheng, Xiequi Zhao, Jing Wu, Hemiao Liu, Yulian Zhao, Mahmoud Al Shufara, Iikyoo Lee; 2021.

3.   ‘Development of Smart Healthcare Monitoring System in IoT Environment’; paper by Md. Milon Islam, Ashikur Rahaman, Md. Rashedul Islam; May, 2020.

4.  Special issue on IoT, Cloud, Big data and Machine learning; recent Advances and Future Trends’;paper by Md. Dilshan Ansari, Mohammed Usman; June, 2019.

5.  ‘A Comprehensive Analysis of Intrusion Detection System for IoT Environment’; paper by Jose Costa Sapalo Sicato, Sushil Kumar Singh, Shailendra Rathore, Jong Hyuk Park; August, 2020.

6.   ‘Blog on Top 3 Industrial IoT Implementations in Manufacturing’ by Saviant. 

Blog by - TY_ME_D_Batch 2_Group 5

40 - Tanvi Shinde

44 - Shubam Pandoh

48 - Rutuja Solankar

50 - Pushkar Sonawane

52 - Bhushan Suda

Guided by: 

Prof. K. A. Shirbavikar 


Mechanical Vibration

  Introduction      Mechanical vibration is the motion of a particle or body which oscillates about a position of equilibrium. Most vibrat...