Post of Junior Research Fellow
Applications are invited from eligible candidates for the post of Junior Research Fellow (JRF) to work on a project entitled “Development of Centrifugal Spinning Machine Prototype for Production of Nanofibres and its Application in Tissue Engineering ” at Department of Textile Technology.Anna University, Chennai 600025. It ‘s a project funded by Department of Biotechnology (DBT), New Delhi,
Name of the Post : Junior Research Fellow ( 1.No )
Essential Qualification : M.Tech Textile Technology / Textile Engineering with B.E in Textile Technology with 60% or 6 CGPA in both courses .
Desired Qualification : Gate Qualified Candidates with Experience in fabrication of Instruments
Duration : 2 Years
Stipped Amount : Rs.16000 / month with HRA 30 % .
SYLLABUS FOR WRITTEN TEST
Classification of textile fibres: Essential requirements of fibre forming polymers; Gross and fine structure of natural fibres like cotton, wool and silk. Introduction lO important bast fibres; properties and uses of natural and man-made fibres; physical and chemical methods of fibre and blend identification and blend analysis. Molecular architecture, amorphous and crystalline phases, glass uansiticn. plasticization, crystallization, melting. factors affecting Tg and ‘I’m; Process of viscose and acetate preparation.
Polymerization 01′ nylon-S, nylon-eri, poly (ethylene tcrcphthalatc). polyacrylonitrllc and polypropylene; Melt Spinning processes, characteristic features of Pc’I, polyamide And polypropylene spinning; wet and dry spinning 01′ viscose and acrylic fibres; post spinning operations such as drawing, heat scuing, tow-to-top conversion and different texturing mctbods,
Characterlsatiou of Polymers
Methods of investigating fibre structure e.g, Density. X-ray diffraction, birefringence. optical and electron microscopy. I.R. absorption, thermal methods (DSC. DMI\/TMA. 1’01\): structure and morphology of man-made fibres, mechanical properties of fibres, moisture sorption in fibres; fibre structure and properly correlation.
Probability and Statistics
Mean, median, mode and standard deviation: Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis and Design of Experiments.