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20 PRESSURE FLOTATION OF NITROCELLULOSE FINES: HYDRODYNAMICS AND INTERFACIAL CHEMISTRY Domenic Grasso, Associate Professor Environmental Engineering Program and Department of Civil & Environmental Engineering The University of Connecticut Storrs, Connecticut 06269-2037 Paul LaFrance, Project Engineer CH2M Hill Denver, Colorado 80222-0508 Byung-Joon Kim, Environmental Engineer U.S. Army Construction Engineering Laboratory CECER-EN Champaign, Illinois 61820-1305 Hsien-Lun Hu, Doctoral Candidate Environmental Engineering Program The University of Connecticut Storrs, Connecticut 06269-2037 INTRODUCTION The production of nitrocellulose (NC) creates large quantities of waste NC fines in wash water streams. Current processing techniques attempt to remove these fines by cross-flow microfiltra- tion, pressure flotation, settling, centrifugation, and lime precipitation. Pressure flotation, or dissolved air flotation (DAF), is a solid/liquid separation process first developed in the ore processing industry. DAF has since found many applications in the environmental engineering field including: drinking water clarification, sludge thickening, and the clarification of wastewater from a variety of industrial and municipal processes. The work presented herein is part of a larger effort to explore techniques to recover and reuse nitrocellulose (NC) fines resulting from propellant manufacturing processes. Previous papers1-2 investigated NC particle stability and interfacial thermodynamics and developed a flotation trajectory model. This paper builds on that work and presents a sensitivity analysis of the flotation trajectory model. The sensitivity analysis explores both operational and parameter estimation uncertainty. MODEL STRUCTURE The limiting trajectory approach is a quantitative description of particle-deposition rates on collector surfaces. Flotation efficiency can be predicted by calculating a particle's trajectory around the surface of a bubble (Figure 1). Trajectory models have also been utilized to describe other environmental engineering processes, such as coagulation, filtration, and membrane processes. Surface forces on the particles and bubbles, as well as short range hydrodynamic interactions near the bubble surface must be quantified to accurately predict the particle's trajectory. 50th Purdue Industrial Waste Conference Proceedings. 1995, Ann Arbor Press, Inc., Chelsea, Michigan 48118. Printed in U.S.A. 187
Object Description
Purdue Identification Number | ETRIWC199520 |
Title | Pressure flotation of nitrocellulose fines: hydrodynamics and interfacial chemistry |
Author |
Grasso, Domenic LaFrance, Paul Kim, Byung-Joon Hu, Hsien-Lun |
Date of Original | 1995 |
Conference Title | Proceedings of the 50th Industrial Waste Conference |
Conference Front Matter (copy and paste) | http://e-archives.lib.purdue.edu/u?/engext,45474 |
Extent of Original | p. 187-192 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital object copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Date Digitized | 2009-11-24 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Resolution | 300 ppi |
Color Depth | 8 bit |
Description
Title | page 187 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Transcript | 20 PRESSURE FLOTATION OF NITROCELLULOSE FINES: HYDRODYNAMICS AND INTERFACIAL CHEMISTRY Domenic Grasso, Associate Professor Environmental Engineering Program and Department of Civil & Environmental Engineering The University of Connecticut Storrs, Connecticut 06269-2037 Paul LaFrance, Project Engineer CH2M Hill Denver, Colorado 80222-0508 Byung-Joon Kim, Environmental Engineer U.S. Army Construction Engineering Laboratory CECER-EN Champaign, Illinois 61820-1305 Hsien-Lun Hu, Doctoral Candidate Environmental Engineering Program The University of Connecticut Storrs, Connecticut 06269-2037 INTRODUCTION The production of nitrocellulose (NC) creates large quantities of waste NC fines in wash water streams. Current processing techniques attempt to remove these fines by cross-flow microfiltra- tion, pressure flotation, settling, centrifugation, and lime precipitation. Pressure flotation, or dissolved air flotation (DAF), is a solid/liquid separation process first developed in the ore processing industry. DAF has since found many applications in the environmental engineering field including: drinking water clarification, sludge thickening, and the clarification of wastewater from a variety of industrial and municipal processes. The work presented herein is part of a larger effort to explore techniques to recover and reuse nitrocellulose (NC) fines resulting from propellant manufacturing processes. Previous papers1-2 investigated NC particle stability and interfacial thermodynamics and developed a flotation trajectory model. This paper builds on that work and presents a sensitivity analysis of the flotation trajectory model. The sensitivity analysis explores both operational and parameter estimation uncertainty. MODEL STRUCTURE The limiting trajectory approach is a quantitative description of particle-deposition rates on collector surfaces. Flotation efficiency can be predicted by calculating a particle's trajectory around the surface of a bubble (Figure 1). Trajectory models have also been utilized to describe other environmental engineering processes, such as coagulation, filtration, and membrane processes. Surface forces on the particles and bubbles, as well as short range hydrodynamic interactions near the bubble surface must be quantified to accurately predict the particle's trajectory. 50th Purdue Industrial Waste Conference Proceedings. 1995, Ann Arbor Press, Inc., Chelsea, Michigan 48118. Printed in U.S.A. 187 |
Resolution | 300 ppi |
Color Depth | 8 bit |
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