PickT:一个决策工具,以实现最佳的采摘过程运行
Claudia Alice Crișan1, Elisabeta Cristina Timiș2, Horațiu Vermeșan1
1Department of Environmental Engineering and Sustainable Development Entrepreneurship, Faculty of Materials and Environmental Engineering, Technical University of Cluj-Napoca, 103-105 Muncii Boulevard, 400641 Cluj-Napoca, Romania.
Materials (Basel, Switzerland)
|August 26, 2023
概括
一个新的软件工具PickT通过预测最佳的腐蚀抑制剂水平和浴寿命来增强钢铁. 这种动态建模工具简化了操作,提高了工业应用的效率.
科学领域:
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
- 工业化学 工业化学 工业化学
背景情况:
- 现有的钢铁剥削动态模型缺乏可预测性和简单性.
- 实际上需要一个软件工具来优化制操作.
研究的目的:
- 开发和验证一个决策工具 (PickT) 以优化钢铁剥削过程.
- 为了解决在动态建模制过程中的知识差距.
主要方法:
- 开发PickT软件工具的开发.
- 使用两组实验数据集进行验证,其中包括在盐酸中用不同的腐蚀抑制剂 (酸乙和甲胺) 和操作条件下钢.
- 测试工具在各种参数上的可转移性,如抑制剂类型,度和批次持续时间.
主要成果:
- PickT被开发并与两轮测试中的实验结果进行验证.
- 该工具以少量的现场数据证明了可靠的预测.
- PickT准确估计了最佳的腐蚀抑制剂添加,浴寿命,腐蚀率和材料质量损失.
结论:
- PickT提供了一种简单,易于使用的解决方案,用于优化工业钢材剥削操作.
- 该工具能够提供可靠的预测,这使得它对未受过培训的专业人士来说非常有价值.
- PickT成功地解决了在制过程建模中提高可预测性和简单性的需求.
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