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354 results on '"Dinakaran, D."'

11. Prediction and Modeling of Tool Wear with Cutting Force and Fine Gaussian Support Vector Machine in Drilling

Author

Mahendran, G., Sai Balaji, M. A., Susai Mary, J., Dinakaran, D., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Ganippa, Lionel, editor, Karthikeyan, R., editor, and Muralidharan, V., editor

Published
2021
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12. Design and Analysis of ASRS Using AGV for Rapid Inventory Storage System

Author

Nair, Pranav Santhosh, Nair, Sourabh, Sarkar, Soukhin, Arockia Doss, Arockia Selvakumar, Dinakaran, D., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Vijayan, S., editor, Subramanian, Nachiappan, editor, and Sankaranarayanasamy, K., editor

Published
2021
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19. Mathematical models of flank wear using vibration amplitude ratio in drilling

Author

Nakandhrakumar R.S., Dinakaran D., Pikton D., and Patabiraman J.

Subjects
tool wear monitoring, flank wear, drilling process, vibration, torsional-axial vibration, Engineering (General). Civil engineering (General), TA1-2040, Mechanics of engineering. Applied mechanics, TA349-359
Abstract

This paper presents a model for on-line prediction of a drill flank wear using changes in vibration amplitude in the drilling process. Prediction of wear-time and wear-amplitude ratio relationships during the drilling process is enabled by this mathematical model through variations in vibration amplitude signals. An empirical method for an in-process approach for quantifying tool wear, and failure following it, is the outcome of the measurement of variations in the ratio of amplitude between torsional-axial dominant first mode (TP1) and the second mode (TP2) frequency. Performance of a series of cutting tests has been undertaken to study the effect of drill flank wear and other independent cutting parameters on the vibration amplitude signals. The objective is extended to finding the relationship between amplitude signals, drill flank wear and various other independent parameters. Details of the flank wear of drill and the ratio of amplitudes seen at various working conditions were determined and collected through experimental procedures. Verification of the model was done through comparison of the experimental values with the predicted values.

Published
2019

20. Prediction and geometric adaptive control of surface roughness in drilling process

Author

Susai Mary J., Sai Balaji M.A., and Dinakaran D.

Subjects
adaptive control, cnc drilling, roughness, space vector machine (svm), Engineering (General). Civil engineering (General), TA1-2040, Mechanics of engineering. Applied mechanics, TA349-359
Abstract

Surface roughness is an essential factor to evaluate the quality of component that decides the wear and fatigue properties and influences the quality of assembly. This research article focuses on real time control of surface finish in drilling using geometric adaptive control strategy. The dynamometer sensor and accelerometer are used to capture the force and vibration signals during drilling. A cubic SVM model is employed to model the surface roughness using the force, vibration and machining parameters. The accuracy of the prediction model is found to be 94 %, and the model is successfully used to control the roughness in drilling. The adaptive scheme uses a Neural Network (NN) controller to adjust the drilling parameters for ensuring the set roughness tolerance. The performance of the controller shows the potentiality of the presented methodology for the practical application in industries.

Published
2019

26. Design of a wheeled-type In-Pipe Inspection Robot to overcome motion singularity in curved pipes

Author

Sugin Elankavi, Rajendran, Dinakaran, D., Doss, Arockia Selvakumar Arockia, Kuppan Chetty, R.M., and Ramya, M.M.

Abstract

This paper discusses the development and design of two wheeled-type In-Pipe Inspection Robots (IPIRs), Kuzhali I and Kuzhali II, which were created to address the limitations of traditional human inspection methods and earlier robot designs. Specifically, the robots aim to overcome the motion singularity experienced by IPIRs when navigating through curved pipes. Kuzhali I was developed with wheels mounted at an asymmetric angle, which enables the wheels to maintain contact with the pipe’s surface, preventing motion singularity. However, Kuzhali I had limitations due to its prismatic mechanism, and thus Kuzhali II was developed with a telescopic mechanism to allow it to pass through vertical pipes with obstacles. Motion analysis was conducted on both robots to demonstrate how they overcome motion singularity and navigate through straight and curved pipelines. Simulation results showed that the forces acting on the robots’ wheels fell within 5 N to 12 N, demonstrating stability while navigating pipeline junctions. Experimental tests were conducted on Kuzhali II, and the results were compared to simulation results, showing an error of less than 5%. The results of the experiments indicate that Kuzhali II is safe to use for pipeline inspection, can navigate through vertical pipelines with ease and can overcome motion singularity in curved pipes. These robots offer a faster, more accurate, and safer alternative to human inspection, which can reduce the risk of pipeline failures and associated environmental and safety hazards.

Published
2024
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43. Investigations on the magnetic adhesion properties of pipe surface inspection robot.

Author

Jose, Jaise, Elankavi, Rajendran Sugin, Dinakaran, D., Chetty, R. M. Kuppan, and Ramya, M. M.

Subjects
MAGNETIC properties, PIPELINE inspection, FERROMAGNETIC materials, SURFACE properties, ROBOT design & construction, ROBOTICS, PERMANENT magnets
Abstract

In recent years, pipeline inspection robotic systems have gained significant attention of researchers and industry as it aids the predictive maintenance. The major share of pipelines used in the industrial infrastructure is made of ferromagnetic material and thus magnetic adhesion based robotic crawlers are the cost-effective solution for real-time inspection. In this paper, the magnetic adhesion generated by a novel permanent magnet arrangement against the ferromagnetic pipe is studied for various configurations. The effect of splitting up a single magnet and the resulting variations in holding strength is studied using simulations. The Finite element method simulation is used to study the magnetic adhesion and is performed using FEMM software. These results of this study provide an insight into the magnetic adhesion generated for pipeline inspection robots and used for designing the payload requirements. [ABSTRACT FROM AUTHOR]

Published
2022
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