New Approach to Evaluate the Lubrication Process in Various Mixers Using Thermal Effusivity Sensor
Researchers in Japan recently published an article in the Journal of the Pharmaceutical Society of Japan on application of C-Therm's ESP system in evaluating various lubrication processes.
Title: New Approach to Evaluate the Lubrication Process in Various Granule Filling Levels and Rotating Mixer Sizes Using a Thermal Effusivity Sensor
Authors: Jumpei Uchiyama,*,a Shigeru Aoki,a and Yoshifumi Uemotob
a Japan Technology, Global Demand Chain Technology, New Chemical Entity Demand Chain Unit, Eisai Demand Chain Systems, Eisai Co., Ltd.; 1 Kawashimatakehaya, Kakamigahara, Gifu 501–6195, Japan: and
bGlobal Formulation Japan Pharmaceutical Science Technology, Eisai Co., Ltd.; 1 Kawashimatakehaya, Kakamigahara, Gifu 501–6195, Japan
Abstract: The principles of thermal effusivity are applied to an understanding of the detailed mechanisms of the lubrication process in a rotating mixer. The relationships and impact of the lubrication process by the pattern of powder flow, the filling level, and the rotating mixer size were investigated. Thermal effusivity profiles of the lubrication process, as obtained, indicate that lubrication is a two-phase process. The intersection point of the first and second phases (IPFS) is influenced by changing the filling level, thus changing the resulting number of avalanche flows created. The slope of the second phase (SSP) is influenced by the relationship between the number and the length of avalanche flows. Understanding this difference between the first and second phases is important to successfully evaluate the impact of proposed changes in the lubrication process. From this knowledge, a predictive model of the lubrication profile can be generated to allow an evaluation of proposed changes to the lubrication process. This model allows estimation of the lubrication profile at different filling levels and in different rotating mixer sizes. In this study, the actual lubrication pro- file almost coincides with the model predicted lubrication profile. Based on these findings, it is assumed that lubrication profiles at a commercial scale can be predicted from data generated at the laboratory scale. Further, it is assumed that changes in the filling level can also be estimated from the laboratory or current data.
Key words: lubrication process mechanism; process analytical technology; thermal effusivity; monitoring lubrication process; magnesium stearate
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