BITS Faculty Publications
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Item Experimental Investigation Using Response Surface Methodology for Condition Monitoring of Misaligned Rotor System(ASME, 2021-08) Marathe, Amol; Jalan, Arun KumarMisalignment 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.Item Condition Monitoring of Misaligned Rotor System Using Acoustic Sensor by Response Surface Methodology(ASME, 2022) Jalan, Arun Kumar; Marathe, AmolMisalignment 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.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.Item Screening of factors influencing the performance of manipulator using combined array design of experiment approach(Elsevier, 2009-06) Rout, Bijay KumarA 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.Item An empirical study on the predictive role of SES on high school students' achievement in learning ESL(Inder Science, 2018-04) Choudhary, Sanjiv KumarThis paper reports the findings of the study on the relationship between socio-economic status (SES) variables and students' achievement in learning ESL (AESL) in a few selected secondary schools of India. Through this study an attempt has been made to predict which variable of SES affect students' AESL. A questionnaire survey has been used to collect information about SES variables (father and mother education, father and mother occupation and family income) of the students. The students' AESL in form of grades is taken from the schools. Data analyses have been done using SPSS by descriptive and inferential statistics. Analysis of variance (ANOVA) and multiple regression analysis findings indicated that students' AESL is dependent on five SES variables. Multiple regressions indicated that fathers' education, mothers' occupation and income are significant predictors. This reflects that there is a need to look into these factors in addition to school learning factors affecting students' learning English as a second language (ESL).Item BEST ELECTRONIC SHOPPING TECHNIQUE (BEST)-AN ADHOC COMPONENT USING BAT MODEL(Asian Research Publishing Network, 2015) Jangiti, SaikishorThe rapid development of internet and technology made internet based virtual electronic shops come true. The moral stuff of online shopping is “Avail anything from anywhere at any time”. Online shopping paves a sophisticated way for customers to buy the commodity in less time. It helps the customers to know the feedback about the commodity that makes them to take corrective decisions. In addition to that, it serves the privacy to the customers as the traditional way does not suit this. Comparison shopping have emerged a new path to the online shopping. It assists the customers to compare the ‘N’ commodity simultaneously. However, umpteen number of online shops exists that makes a gap, since no website contribute adequate solution to meet the request of the customers about other aspects of commodity such as warranty, delivery days, review rating, quantity, EMI, COD, shipping cost, compare option etc. In this paper we are proposing BEST - Best Electronic Shopping Technique with a new model called TIM (Training Set - Interface - Model) which is imbibed, considering important attributes from top 20 popular sites to perform evaluation based on Crisp and Fuzzy methodologies. At the same time, details will be hunted and filtered by their demands and sorted them accordingly. Arrived results were obtained using variance, chi square, ANOVA and Theil indexing. As a consequence the customers will be able to yield commodity without spending more time and effort in visiting numerous number of sites.