Contribution of Power Profiles to Mixing Efficiency

1980 ◽  
Vol 53 (2) ◽  
pp. 252-269 ◽  
Author(s):  
P. T. Dolezal ◽  
P. S. Johnson

Abstract Our studies have shown that, on a laboratory scale, power curves can be used to elucidate the processes involved in mixing butyl rubber compounds. Through an understanding of the process and the construction of mixing profiles, it is possible to optimize mixing efficiency. In a production environment, power curves can obviously be of great value in monitoring quality control.

2017 ◽  
Vol 59 (11-12) ◽  
pp. 1054-1060 ◽  
Author(s):  
Mohan Kumar Harikrishna Kumar ◽  
Subramaniam Shankar ◽  
Rathanasamy Rajasekar ◽  
Pal Samir Kumar ◽  
Palaniappan Sathish Kumar

Author(s):  
James O. Westgard

AbstractInternal quality control should assure that the desired quality goals are achieved during reference value studies. Quality goals are often stated in the form of allowable limits of error, such as an allowable total error or an allowable bias. For reference value studies, it may be more appropriate to utilize a goal for allowable bias. In either case, it is possible to calculate a metric in the form of the critical systematic error that can be used to guide selection or design of the internal quality control procedure. A graphical tool, called the critical-error graph, facilitates the selection by superimposing the calculated critical systematic error on the power curves of different control rules and numbers of control measurements. Examples are provided to illustrate the calculation of the critical systematic error from both an allowable total error goal and an allowable bias goal, using figures from an extensive tabulation of available total error and bias goals.


Polimery ◽  
1985 ◽  
Vol 30 (09) ◽  
pp. 361-363
Author(s):  
BOLESLAW JURKOWSKI ◽  
STANISLAW ROZWADOWSKI

2019 ◽  
Vol 3 (2) ◽  
pp. 38 ◽  
Author(s):  
Valentina Guerra ◽  
Chaoying Wan ◽  
Tony McNally

The effects of graphene nanoplatelets (GNPs) on the nucleation of the β-polymorph of polypropylene (PP) were studied when melt-mixed at loadings of 0.1–5 wt % using a laboratory scale twin-screw (conical) extruder and a twin-screw (parallel) extruder with L/D = 40. At low GNP loadings (i.e., ≤0.3 wt %), the mixing efficiency of the extruder used correlated with the β-nucleating activity of GNPs for PP. GNP agglomeration at low loadings (<0.5 wt %) resulted in an increase in the β-phase fraction (Kβ) of PP, as determined from X-ray diffraction measurements, up to 37% at 0.1 wt % GNPs for composites prepared using a laboratory scale twin-screw (conical) extruder. The level of GNP dispersion and distribution was better when the composites were prepared using a 16-mm twin-screw (parallel) extruder, giving a Kβ increase of 24% upon addition of 0.1 wt % GNPs to PP. For GNP loadings >0.5 wt %, the level of GNP dispersion in PP did not influence the growth of β-crystals, where Kβ reached a value of 24%, regardless of the type of extruder used. From differential scanning calorimetry (DSC) measurements, the addition of GNPs to PP increased the crystallization temperature (Tc) of PP by 14 °C and 10 °C for the laboratory scale extruder and 16-mm extruder, respectively, confirming the nucleation of PP by GNPs. The degree of crystallinity (Xc%) of PP increased slightly at low GNP additions (≤0.3 wt %), but then decreased with increasing GNP content.


SPE Journal ◽  
2009 ◽  
Vol 14 (04) ◽  
pp. 737-745 ◽  
Author(s):  
Ulrich Zimmer ◽  
Shawn C. Maxwell ◽  
Charles K. Waltman ◽  
Norman R. Warpinski

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