Characterizing powder mixing processes utilizing compartment models.

Compartment Mixing Model in a Stirred Tank Equipped Dual Rushton Turbine

Characterizing continuous powder mixing using residence time distribution

Continuous powder mixing is an efficient alternative in high volume manufacturing of powder-based products. A new method is communicated in this paper to determine the effects of different operating conditions andmixer configurations onmixing performance. Themain idea of the proposedmethodology is the utilization of experimental residence time distribution (RTD) measurements to (a) determine th...

Characterization of continuous convective powder mixing processes

The Process Analytical Technology (PAT) initiative has encouraged the development of new technology to improve upon the current manufacturing paradigm. As a result substantial attention has recently focused on continuous processing due to the ability to control disturbances online, avoiding the loss of processing materials and enabling effective process scale-up. In this paper, a pharmaceutical...

Fatigue Life of Graphite Powder Mixing Electrical Discharge Machining AISI D2 Tool Steel

The present paper deals with the design of experimental work matrices for two groups of experiments by using Response surface methodology (RSM). The first EDM group was dealt with the use of kerosene dielectric alone, while the second was treated by adding the graphite micro powders mixing to dielectric fluid (PMEDM). The total heat flux generated and fatigue lives after EDM and PMEDM models we...

Some Conditions for Characterizing Minimum Face in Non-Radial DEA Models with Undesirable Outputs

The problem of utilizing undesirable (bad) outputs in DEA models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. The Kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. Also, there are some specific features of non-radial data envelopment analysis (DEA...