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Sanjana Dias

Sanjana Dias

Module Leader and Project Supervisor

Faculty of Engineering and construction

Profile

Sanjana has been working at ICBT since 2021 lecturing in the field of Engineering.  After completing her degree in Mechanical engineering specializing in Mechatronics she worked in the academic sector and was employed for about three years before joining ICBT.  

 

Sanjana is currently the module leader, the HD project supervisor and has taught a number of HD undergraduate modules at ICBT in various programs.  She is currently teaching,

  • Engineering Mechanics
  • Thermodynamics
  • Engineering materials & Manufacturing Processes
  • Automotive materials & manufacturing processes
  • Mechatronics systems & Robotics

Sanjana is also a member of IEEE and IMechE institutions. Sanjana’s research interests are in the field of Mechatronics Engineering & Automation, Mechanical Engineering, and Renewable Energy.

 

Publications

~ Dias, S.L.S, Sandaruwan, D & Jayasekara, S (2021), An automated system for estimating GSM value of Fabrics using Beta particle absorption characteristics, IEEE Industrial Electronics and Applications Conference (IEACon) 2021, IEEE Xplore, pp. 3, 1570750128(online)

 

Abstract

~ Grams per square meter (GSM) or Grammage is an ISO recommended term to express the mass per unit area of papers, metal sheets, plastic made products and fabric materials. GSM tests are mainly done in textile industry to measure GSM  of knitted fabrics and to ensure other standard specifications of fabrics. Meanwhile, the manual GSM measuring procedure is preferred by most of the textile organizations, which leads to many disadvantages including fabric wastage. As an alternative solution for this industrial issue, an automated non-contact type fabric Grammage measuring method is proposed. This paper introduces mathematical models for determining GSM values based on beta particle absorption characteristics of three selected fabrics. Moreover, this study discusses a real-time GSM measuring system, which utilizes the generated mathematical models. Through this paper, developed mathematical models are investigated over goodness of fit parameters. Developed models are appropriate for GSM value estimation with R2 values over 0.99 and lower Root Mean Square Error (RMSE) Values.  Error percentages obtained during validation of these mathematical models are less than 1% for all fabric types.

Contact

Call: (+94) 114 777888 / Ext: 1040

Email: sanjanaD@icbtcampus.edu.lk

LinkedInhttps://www.linkedin.com/in/sanjana-dias-163a09165/

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