| Predicting main technical parameters of internal mixer by BP neural network model |
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| DOI： |
| Key Words: BP neural network；internal mixer；technical parameter |
| Author Name | Affiliation | | YANG Fuqin | Qingdao University of Science and Technology | | WANG Chuansheng | Qingdao University of Science and Technology | | HOU Yongzhi | Qingdao University of Science and Technology |
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| Abstract: |
| The technical parameters of internal mixer，such as maximum power consumption，specific energy consumption，mixing time，capacity，dumping temperature and so on were predicted by BP neural network model using rotor speed，filling factor，ram pressure and cooling water temperature as the input parameters.It was found by the comparison between the measured results and the predicted results that the prediction by BP neural network model could meet the requirement for precision in quantitative calculation and provide a new mean for analysing the complicated mixing process in internal mixer. |
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