Abstract
Cementation is an effective process that meets the requirements of process cleanliness. The performance of the cementation reaction is dictated by a number of variables. In this study, the effects of various parameters on the yields of copper-iron cementation (wire and powder) were investigated. Statistical full factorial designs were used to produce appropriate mixture models for the yields. The experimental designs were done at three different levels of three operating variables, namely initial concentration, temperature, and pH. The optimization studies were carried out with MATLAB 7.0 software. The optimum yields obtained from the predicted models were found to be 0.9916 and 0.9088 for iron wire and powder, respectively, under optimized conditions, and these were in accordance with the experimental observations. Copper cementation is a useful technique for the recovery of copper from a variety of waste solutions. Here, copper cementation on iron substrates in batch process was investigated. Various parameters played a major role on the yield of copper-iron cementation. A statistical full factorial design was carried out and optimization studies were done.
| Original language | British English |
|---|---|
| Pages (from-to) | 1744-1750 |
| Number of pages | 7 |
| Journal | Chemical Engineering and Technology |
| Volume | 35 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2012 |
Keywords
- Cementation
- Copper removal
- Full factorial design
- Nonlinear model
- Optimization
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