A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Pramanick, A. K.
- Pipeline Integrity and Coated Steel
Authors
1 Dept. of Mtallurgical & Material, Jadavpur University, Kolkata, IN
2 Mallabhum Institute of Technology, Bishnupur, Bankura, IN
3 Rustech Products Pvt. Ltd. Kolkata, IN
4 R & D Test Metal Corporation, Kolkata-7000004, IN
Source
Indian Science Cruiser, Vol 25, No 1 (2011), Pagination: 33-35Abstract
Maintaining pipeline integrity is critical for continued safe operation of distribution and transmission systems in water, oil, gas and other sectors. Multiple choices of materials present a challenge for Corrosion Engineer and Integrity Managers. Pipeline Operators need information of the coating systems suitable for various environments and situations. Corrosion resistant organic coatings are the high performance materials that give long term protection to various atmospheres. Some such coatings now in use in industry need evaluation before recommending their use in industrial situation.
An attempt has been made to study steel samples coated with different coating materials, viz coal tar enamel, hot applied coal tar tape, high build epoxy, coal tar epoxy, polyurethanes & cold applied PE tape in tap and sea water environment to fed out their corrosion characteristics and suitability in specific environment.
Keywords
Pipeline Integrity, Organic Coatings, Protection, Polarization Resistance Technique.- Synthesis and Optimization of Silica -Ni Nanocomposite
Authors
1 Department of Metallurgical & Material Engineering, Jadavpur University, Kolkata-700032, IN
2 School of Material Science & Nano -Technology, Jadavpur University, Kolkata-700032, IN
3 Rustech Products Pvt Ltd, Kolkata -700045, IN
Source
Indian Science Cruiser, Vol 26, No 5 (2012), Pagination: 13-17Abstract
The optimum combination of experimental variables- temperature, time of heat treatment under nitrogen atmosphere and amount of Ni-salt has been delineated to find the maximum yield of nanophase Ni in the silica powder. The size of Ni in the silica powder is found to be 32nm and 45nm. A statistically adequate regression equation, within 95% confidence limit has been developed by carrying out a set of active experiments within the framework of design of experiment. The regression equation clearly indicates the beneficial role of the temperature and time of heat treatment.