| ZHANG Xin-yu,CHEN Jian-jun,PAN Xun-ping,YANG Cheng,YUAN Wei-jie,WU Wen-chao.Mathematical Model for Pickling of Automotive High Strength Steel[J],46(11):276-281 |
| Mathematical Model for Pickling of Automotive High Strength Steel |
| Received:March 22, 2017 Revised:November 20, 2017 |
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| DOI：10.16490/j.cnki.issn.1001-3660.2017.11.038 |
| KeyWord:high strength steel pickling derivative near zero linear fitting orthogonal experiment model |
| Author | Institution |
| ZHANG Xin-yu |
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai , China |
| CHEN Jian-jun |
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai , China |
| PAN Xun-ping |
Baosteel Nscarcelor Automotive Steel Plate Co., Ltd, Shanghai , China |
| YANG Cheng |
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai , China |
| YUAN Wei-jie |
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai , China |
| WU Wen-chao |
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai , China |
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| Abstract: |
| The work aims to study effects of pickling solution concentration, temperature and oxide scale thickness on pickling time of high strength steel, and establish an integrated pickling model involving pickling solution concentration, temperature and oxide scale thickness. End time of pickling was determined by introducing the near zero method of electropotetial derivative. The effects of pickling solution temperature and concentration variation on pickling time of different thickness of oxide scales were studied by further performing experiments. Multicomponent fitting was applied to experimental data, and finally orthogonal experiment was performed to analyze correlation among the three factors. The oxide scale was completely removed when electropotential derivative of pickling solution reached 0.0025 V/s. Pickling time reduced dramatically when concentration of pickling solution increased to 10%, and further increasing the pickling solution concentration did little to help shorten the pickling time. The pickling efficiency reached the maximum when the pickling solution temperature reached 80 ℃. Further temperature increase would not only waste energy, but also increase volatilization of hydrochloric acid and prolong pickling time. An integrated pickling model was established, actual high strength steel pickling data was introduced into the test. Error of acid pickling time was less than 8%. The effect of oxide scale thickness on the pickling time was higher than that of pickling solution temperature and concentration. The pickling of strip steel shall be completed at appropriate pickling solution concentration and temperature. Pickling efficiency shall not be improved by increasing pickling solution concentration and temperature blindly. Orthogonal experiment shows that building an integrated pickling control model allowing for factors affecting oxide scale thickness exhibits excellent accuracy and validity in predicting end time of pickling, and is of great importance in engineering. |
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