Dataset Open Access
A user-friendly R Platform for Optimizing Mineral Processing
Ben Said, Borhane;
Pereira, Lucas;
Tolosana Delgado, Raimon;
Rudolph, Martin
An open-source and user-friendly platform for using design of experiments for optimizing mineral processing. No specific knowledge of programming languages is required for using the platform. Depending on the user needs, the platform suggests the optimal experimental strategy with a minimum number of runs required. Different types of experimental designs such as screening, full factorial and central composite designs are currently available. The R shiny app can be accessed via: https://hifgeomet.shinyapps.io/Optimization_Tool/
Files
(4.6 kB)
| Name | Size | |
|---|---|---|
|
Training_file_Modelling.csv
md5:49b59573617f90eac4e840b8fd692ab7 |
1.3 kB | Download |
|
Training_file_Screening.csv
md5:3e31388766da6a555eba5c9affaac1be |
1.2 kB | Download |
|
Training_file_Verification.csv
md5:61c24a11d722e1765e98a2b2bd426291 |
2.1 kB | Download |
1,510
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downloads
| All versions | This version | |
|---|---|---|
| Views | 1,510 | 217 |
| Downloads | 2,853 | 256 |
| Data volume | 4.4 MB | 392.9 kB |
| Unique views | 451 | 95 |
| Unique downloads | 236 | 34 |
- Publication date:
- March 31, 2022
- DOI:
-
- Keyword(s):
- Design of experiments, Plant optimization, Mineral processing, Shiny R, Process Modelling
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-34457 - Communities:
- License (for files):
- Creative Commons Attribution 1.0 Generic