Experimental Modelling of Pneumatic Conveying Capability of Dry Ash
Keywords:
Classical plan, Conveying capabilityAbstract
Dry ash pneumatic conveying is becoming more demanding in various fly ash generating and as well as utilizing industries. Till date majority of dry ash producers are using hydraulic conveying systems due to non-availability of efficient and reliable pneumatic system. Attempts are being made to find practical uses for the dry ash on large scale due to land & water resource constraint & use as resource materials. The solution of this problem lies in developing improved model for a pneumatic conveying system which uses ecofriendly, energy efficient system which protects the potential dry ash properties for utilization on large scale. It is primary need for reliable design of a pneumatic conveying system, classical plan experimentation to model the conveying capability of dry ash conveying system to generate the design data.
References
Report on Fly Ash Generation at Coal/Lignite Based Thermal Power Stations and its Utilization in the Country for the year 2016-17 CENTRAL ELECTRICITY AUTHORITY NEW DELHI DECEMBER 2017.
P. M. Dharaskar, Dr. S.K. Choudhary, Dr. R. D. Askhedkar, “Review on Pneumatic conveying system in thermal power plant”, Universal Research Reports, ISSN: 2348 - 5612 | Volume: 04 Issue: 04 | July - September 2017.
Peter Wypych 2001, Low-Velocity Pneumatic Conveying Technology for Plastic Pellets, Conference: 6th World Congress of Chemical Engineering, At Melbourne, Australia.
P. M. Dharaskar, Dr. S.K. Choudhary, Dr. R. D. Askhedkar, “Planning of experimentation to model pneumatic conveying capability of dry ash”, International Journal Innovative Research Thoughts, Volume No.: 3 | Issue: 9, October - December 2017, IF: 5.41
Hilbert Schenck Junior, Theory of Engineering Experimentation, McGraw Hill, New York (1961) LRComparison of Loading Ratios of Experimental and ModelExperimentalModel
S.K.Choudhary, R.D.Askhedkar, J.P.Modak, “Planning of Experimentation to Optimize Performance of a α – configuration Stirling Cycle Refrigeration System”. International Journal of Inter-disciplinary Research and Advances in Engineering, Volume 2. No. I April 2010, pp 233-244. ISSN 0975-7074.
Kenneth Benoit, Linear Regression Models with Logarithmic Transformations,
