Monitoring crystal breakage in wet milling processes using inline imaging and chord length distribution measurements
Monitoring crystal breakage in wet milling processes using inline imaging and chord length distribution measurements
复制标题
使用在线成像和弦长分布测量来监测湿磨过程中的晶体破损
DOI:
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发表时间:
2017
期刊:
影响因子:
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通讯作者:
J. Sefcik
中科院分区:
文献类型:
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作者:
Okpeafoh S. Agimelen;V. Svoboda;Bilal Ahmed;Javier Cardona;J. Dziewierz;Cameron J. Brown;T. McGlone;A. Cleary;C. Tachtatzis;C. Michie;A. Florence;Ivan Andonovic;A. Mulholland;J. Sefcik
The success of the various secondary operations involved in the production of particulate products depends on the production of particles with a desired size and shape from a previous primary operation such as crystallisation. This is because these properties of size and shape affect the behaviour of the particles in the secondary processes. The size and the shape of the particles are very sensitive to the conditions of the crystallisation processes, and so control of these processes is essential. This control requires the development of software tools that can effectively and efficiently process the sensor data captured in situ. However, these tools have various strengths and limitations depending on the process conditions and the nature of the particles.
In this work, we employ wet milling of crystalline particles as a case study of a process which produces effects typical to crystallisation processes. We study some of the strengths and limitations of our previously introduced tools for estimating the particle size distribution (PSD) and the aspect ratio from chord length distribution (CLD) and imaging data. We find situations where the CLD tool works better than the imaging tool and vice versa. However, in general both tools complement each other, and can therefore be employed in a suitable multi-objective optimisation approach to estimate PSD and aspect ratio.
影响因子:
4.7
作者:
Agimelen, Okpeafoh S.;Hamilton, Peter;Mulholland, Anthony J.
通讯作者:
Mulholland, Anthony J.