Department of Mechanical engineering

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1921

Browse

Has files: NoSubject: search.filters.subject.ANOVA classification

Search Results

Now showing 1 - 4 of 4
  • No Thumbnail Available
    Item
    Experimental Investigation Using Response Surface Methodology for Condition Monitoring of Misaligned Rotor System
    (ASME, 2021-08) Marathe, Amol; Jalan, Arun Kumar
    Misalignment is one of the key reasons for vibrations in most of the rotating system. The present study focuses on interactions among speed, load, and defect severity by investigating their effect on the system vibration. Response surface methodology (RSM) with root-mean-square (RMS) as a response factor is used to understand the influence of such interactions on the system performance. Experiments are planned using design of experiments, and analysis is carried out using analysis of variance (ANOVA). It is observed that speed has a remarkable effect on RMS value in both parallel and angular types of misalignment and affects the system performance. RSM results revealed that a change in load has less impact on vibration amplitude in case of horizontal and vertical directions, but there is a significant variation in RMS value in axial direction for both types of misalignment. A slight increase in the RMS value with an increase in defect severity is observed in the axial direction. These observations will help to understand the misalignment defect and its effect in a better way.
  • No Thumbnail Available
    Item
    Condition Monitoring of Misaligned Rotor System Using Acoustic Sensor by Response Surface Methodology
    (ASME, 2022) Jalan, Arun Kumar; Marathe, Amol
    Misalignment is among the most common causes of vibrations in rotary machinery. Modern machinery is complicated and installing a sensor might be tricky at times. As a result, noncontact type sensors are critical in such situations. The present study investigates the influence of combinations between speed, load, and fault severity upon system vibration by employing acoustic sensor. Although acoustic sensor is used in angular fault diagnosis, however, this is the first attempt to combine the noncontact type of sensor and response surface methodology (RSM) to study the influence of misalignment upon system vibration and the factors that induce system vibrations in a misaligned rotor system. To investigate the effect of these interactions on system performance, RSM with root-mean-square (RMS) as a response factor is used. Design of experiments is used to prepare experiments, while analysis of variance (ANOVA) is used to analyze the results. Speed has a significant impact on RMS value in both parallel and angular types of misalignments and it severely affects the system's performance. According to the RSM findings, a change in load influences vibration amplitude. With increasing defect severity, the change in RMS value was not particularly significant. The outcome of RSM using acoustic sensor was found well aligned with the conclusion drawn using RSM study with vibrational sensor.
  • No Thumbnail Available
    Item
    Performance analysis of vehicle assembly line using discrete event simulation modelling
    (Inder Science, 2018-01) Digalwar, Abhijeet K.
    The purpose of this paper is to utilise simulation as a decision making tool in a complex manufacturing setup. A vehicle assembly line at an automobile company in India is modelled and analysed to help managers to identify the criticality of different parameters. Conveyor speed, operator fatigue and incoming material quality were selected from a pool of parameters which affect the line output. On the basis of design of experiments (DOE), experiments were carried out to capture the effect of input parameters on the line output. The results from these were further analysed using response surface methodology (RSM) and analysis of variance (ANOVA). The line output was found to be most sensitive to operator fatigue followed by incoming material quality and conveyor speed. This paper provides a structured approach to analyse the vehicle assembly line in an automobile company and provides a suitable tool to the management to analyse the complex functioning of a manufacturing system.
  • No Thumbnail Available
    Item
    Screening of factors influencing the performance of manipulator using combined array design of experiment approach
    (Elsevier, 2009-06) Rout, Bijay Kumar
    A robot must manipulate objects with high accuracy and repeatability to perform precise tasks. However, deviation in performance is attributed to uncertainties and improper selection of control, noise, and process factors. The information regarding the effect of these factors on performance is almost non-existent. A probabilistic approach has been used to model and simulate the performance of manipulator. The combined array fractional factorial design of experiment approach has been employed to identify the significant factors and their interactions. This approach helps in screening of the manipulator factors and focus on those that are important. To explore further, two indices, viz. link length ratio and link mass ratio, have been proposed and impact of these indices on manipulator performance is investigated. A two degree of freedom (2-DOF) RR planar manipulator performing a task with cubic and quintic trajectory has been used to illustrate the approach. It has been observed that the statistically significant factors are different for different tasks in workspace. It has also been observed that for the same task, factors responsible for performance variations are different for cubic and quintic trajectories. Finally, it has been demonstrated that the link length ratio change has significant influence on performance compared to link mass ratio.