| Type of Material: | Thesis |
| Title: | Experimental Investigations Modelling and Optimization of Reactive Precipitation for Recovering Ammonium Perchlorate from Reject Brine |
| Researcher: | Adduru, Rama Chandra Rao |
| Guide: | Tide, P S |
| Department: | Department of Mechanical Engineering |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2023 |
| Language: | English |
| Subject: | Ammonium Perchlorate (AP) | Engineering and Technology | Mechanical Engineering | Quasi-dynamic Model | Reactive Precipitation | Mechanical engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Mechanical Engineering, Cochin University of Science & Technology, Cochin, Cochin; 2023 |
| Fulltext: | Shodhganga |
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| 003 | IN-AhILN | |
| 005 | 2024-10-08 17:05:43 | |
| 008 | __ | 241008t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456241 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAdduru, Rama Chandra Rao|eResearcher |
| 110 | __ | |aDepartment of Mechanical Engineering|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aExperimental Investigations Modelling and Optimization of Reactive Precipitation for Recovering Ammonium Perchlorate from Reject Brine |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2023 |
| 300 | __ | |axv,199|dDVD |
| 502 | __ | |cDepartment of Mechanical Engineering, Cochin University of Science & Technology, Cochin, Cochin|d2023|bPhD |
| 518 | __ | |d2024|oDate of Award |
| 518 | __ | |oDate of Registration|d2018 |
| 520 | __ | |aAmmonium Perchlorate (AP) manufacturing process generates a reject brine with high salinity of 20-25% and 7-8 % of perchlorates by weight. Among all the technologies developed globally, the reactive precipitation is the most promising one for recovering higher percentage of AP from reject brine. Reject brine is transformed into two materials viz. an admixture of AP with ammonium chloride and sodium bicarbonate using Reactive Precipitation. In pursuit of demonstrating the technology in higher scale, the complex dependency of process or operating parameters on reactive precipitation have to be addressed. Experimental trials were conducted at 0.3 kL/batch capacity for optimization of reactive precipitation. Since the operating conditions play a crucial role on the kinetics of reactive precipitation, taguchi design and statistical ANOVA were applied to estimate significant operating conditions and their contributions to process performances. The study reveals the potential impact of mixing, impeller configurati |
| 650 | __ | |aMechanical engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aAmmonium Perchlorate (AP) |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aMechanical Engineering |
| 653 | __ | |aQuasi-dynamic Model |
| 653 | __ | |aReactive Precipitation |
| 700 | __ | |eGuide|aTide, P S |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/585132|yShodhganga |
| 905 | __ | |afromsg |
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