Factorial experimental design approach in semicontinuous emulsion polymerization of methyl methacrylate to study the effect of process variables

2009 ◽  
Vol 113 (6) ◽  
pp. 3742-3749 ◽  
Author(s):  
Sujata Mishra ◽  
Jagbir Singh ◽  
Veena Choudhary
Keyword(s):  
Experimental Design ◽  
Methyl Methacrylate ◽  
Emulsion Polymerization ◽  
Design Approach ◽  
Process Variables ◽  
Factorial Experimental Design

Effects of process variables on properties and composition of a-Si:C:H films

2003 ◽  
Vol 18 (1) ◽  
pp. 129-138
Author(s):  
I. L. Moskowitz ◽  
W. A. Lanford ◽  
S. V. Babu
Keyword(s):  
Experimental Design ◽  
Physical Properties ◽  
Vapor Deposition ◽  
Optical Constants ◽  
Plasma Deposition ◽  
Chemical Vapor ◽  
Deposition Process ◽  
Process Variables ◽  
Factorial Experimental Design ◽  
Deposition Parameters

Physical properties of a-Si:C:H films, including composition, optical constants, microhardness, and surface energy, were investigated. A factorial experimental design was employed to establish the effects of plasma-assisted chemical vapor deposition parameters on the physical properties of the films. The dynamics of the plasma deposition process are discussed in relation to the interactions observed among the process variables and the effects of the variables on the physical properties of the films.

Arsenic determination in gasoline by hydride generation atomic absorption spectroscopy combined with a factorial experimental design approach

Fuel ◽  
2006 ◽  
Vol 85 (14-15) ◽  
pp. 2155-2161 ◽  
Author(s):  
Jemmla Meira Trindade ◽  
Aldaléa Lopes Marques ◽  
Gisele Simone Lopes ◽  
Edmar Pereira Marques ◽  
Jiujun Zhang
Keyword(s):  
Experimental Design ◽  
Atomic Absorption ◽  
Absorption Spectroscopy ◽  
Atomic Absorption Spectroscopy ◽  
Hydride Generation ◽  
Design Approach ◽  
Factorial Experimental Design ◽  
Arsenic Determination

Identifying suboptimalities with factorial model comparison

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma
Keyword(s):  
Experimental Design ◽  
Model Comparison ◽  
Process Models ◽  
Multiple Forms ◽  
Factorial Experimental Design ◽  
Factorial Model ◽  
Multiple Components ◽  
The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

A Statistical Study of Process Variables to Optimize a High Speed Curtain Coater: Part I

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 20-26 ◽  
Author(s):  
PEEYUSH TRIPATHI ◽  
MARGARET JOYCE ◽  
PAUL D. FLEMING ◽  
MASAHIRO SUGIHARA
Keyword(s):  
Boundary Layer ◽  
Experimental Design ◽  
High Speed ◽  
Statistical Study ◽  
Process Variables ◽  
High Speeds ◽  
The Stability ◽  
Air Removal ◽  
Removal System

Using an experimental design approach, researchers altered process parameters and material prop-erties to stabilize the curtain of a pilot curtain coater at high speeds. Part I of this paper identifies the four significant variables that influence curtain stability. The boundary layer air removal system was critical to the stability of the curtain and base sheet roughness was found to be very important. A shear thinning coating rheology and higher curtain heights improved the curtain stability at high speeds. The sizing of the base sheet affected coverage and cur-tain stability because of its effect on base sheet wettability. The role of surfactant was inconclusive. Part II of this paper will report on further optimization of curtain stability with these four variables using a D-optimal partial-facto-rial design.

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