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25 factorial

Adsorption is of technical importance in processes such as the purification of materials, drying of gases, control of factory effluents, production of high vacua, etc. Adsorption phenomena are the basis of heterogeneous catalysis and colloidal and emulsification behaviour. [Pg.16]

Note that this relationship is in conPadiction to the well known equation for the calculation of the thickness resolving power given by Halmshaw in 111. The relationship in 111 requires explicit knowledge about built-up factors for scatter correction and the film contrast factory (depending on D) and is only valid for very small wall thickness changes compared to the nominal wall thickness. [Pg.563]

The tests concluded that it was possible to use real time X-ray to inspect incoming frozen fish blocks 100% and giving a completely accurate assessment of the quality of the blocks to enable the factory to calculate the correct purchase price as a function of the bone content. [Pg.589]

Steel framed buildings Steel bridges Fertilizer factories Oil refineries Chemical industries Pharmaceutical industries Machinery parts... [Pg.918]

To obtain an effective algorithm for substructure searching the factorial degree of the brute force algorithm has to be drastically deaeased. In the next sections we discuss several approaches where combination leads to a much more effective and apphcable approach for substructure searching. In the process of searching the isomorphism between Gq and a substructure of Gx, the partial mappings Gq —> Gj can be used as well. In these cases, not all atoms from Gq are mapped and, for those which are not, the array value Mj is set to 0. [Pg.297]

Factorial design methods cannot always be applied to QSAR-type studies. For example, i may not be practically possible to make any compounds at all with certain combination of factor values (in contrast to the situation where the factojs are physical properties sucl as temperature or pH, which can be easily varied). Under these circumstances, one woul( like to know which compounds from those that are available should be chosen to give well-balanced set with a wide spread of values in the variable space. D-optimal design i one technique that can be used for such a selection. This technique chooses subsets o... [Pg.713]

Keep a coil of copper wire (prepared by winding copper wire round a glass tube) or a little silver powder in the bottle, which should be of brown or amber glass the methyl iodide will remain colourless indefinitely. Ethyl iodide may sometimes give more satis factory results. [Pg.660]

Whereas most chemists focused their attention on speculation about atoms and the question of atomic weights, the constant multiplicity in compounds occupied an increasingly central role. The new concept of substitution, i.e., the replacement of one element by another in a compound, started to make a major impact on chemistry in the 1840s. It was probably Dumas, who in the 1830s at the request of his father-in-law (who was the director of the famous Royal Sevres porcelain factory) resolved an event that upset a royal dinner party at the Tuil-... [Pg.29]

The linear regression calculations for a 2 factorial design are straightforward and can be done without the aid of a sophisticated statistical software package. To simplify the computations, factor levels are coded as +1 for the high level, and -1 for the low level. The relationship between a factor s coded level, Xf, and its actual value, Xf, is given as... [Pg.677]

A 2 factorial design with two factors requires four runs, or sets of experimental conditions, for which the uncoded levels, coded levels, and responses are shown in Table 14.4. The terms Po> Po> Pfc> and Pafc in equation 14.4 account for, respectively, the mean effect (which is the average response), first-order effects due to factors A and B, and the interaction between the two factors. Estimates for these parameters are given by the following equations... [Pg.677]

Example of Uncoded and Coded Factor Levels and Responses for a 2 Factorial Design... [Pg.677]

The computation just outlined is easily extended to any number of factors. For a system with three factors, for example, a 2 factorial design can be used to determine the parameters for the empirical model described by the following equation... [Pg.679]

Table 14.5 lists the uncoded factor levels, coded factor levels, and responses for a 2 factorial design. Determine the coded and uncoded empirical model for the response surface based on equation 14.10. [Pg.679]

Curved one-factor response surface showing (a) the limitation of a 2 factorial design for modeling second-order effects and (b) the application of a 3 factorial design for modeling second-order effects. [Pg.681]

If the actual response is that represented by the dashed curve, then the empirical model is in error. To fit an empirical model that includes curvature, a minimum of three levels must be included for each factor. The 3 factorial design shown in Figure 14.13b, for example, can be fit to an empirical model that includes second-order effects for the factor. [Pg.681]

In general, an -level factorial design can include single-factor and interaction terms up to the ( - l)th order. [Pg.681]

Four replicate measurements were made at the center of the factorial design, giving responses of 0.334, 0.336, 0.346, and 0.323. Determine if a first-order empirical model is appropriate for this system. Use a 90% confidence interval when accounting for the effect of random error. [Pg.682]

We begin by determining the confidence interval for the response at the center of the factorial design. The mean response is 0.335, with a standard deviation of 0.0094. The 90% confidence interval, therefore, is... [Pg.682]

Because exceeds the confidence interval s upper limit of 0.346, there is reason to believe that a 2 factorial design and a first-order empirical model are inappropriate for this system. A complete empirical model for this system is presented in problem 10 in the end-of-chapter problem set. [Pg.682]

The following set of experiments provides practical examples of the optimization of experimental conditions. Examples include simplex optimization, factorial designs used to develop empirical models of response surfaces, and the fitting of experimental data to theoretical models of the response surface. [Pg.699]

Oles, P. J. Fractional Factorial Experimental Design as a Teaching Tool for Quantitative Analysis, /. Chem. Educ. [Pg.700]

This experiment describes the use of a fractional factorial design to examine the effects of volume of HNO3, molarity of AgN03, volume of AgN03, digestion temperature, and composition of wash water on the gravimetric analysis for chloride. [Pg.700]

This experiment describes a fractional factorial design used to examine the effects of flame height, flame stoichiometry, acetic acid, lamp current, wavelength, and slit width on the flame atomic absorbance obtained using a solution of 2.00-ppm Ag+. [Pg.700]

This experiment examines the effect of reaction time, temperature, and mole ratio of reactants on the synthetic yield of acetylferrocene by a Eriedel-Crafts acylation of ferrocene. A central composite experimental design is used to find the optimum conditions, but the experiment could be modified to use a factorial design. [Pg.700]


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A Factorial Model

A three-level full factorial design

Aircraft factories

Analysis Using a High Level Factorial Plan

Analysis of Fractional Factorial Experiments

Analytical methods factorial design

Another Kind of Factory Producing Sugars

Aspergillus cell factories

B-factory

Bacteria as Protein Factories

Bacterial Cell Factories

Battery factory

Behavior factorial design

Blocking and Factorial Design

Capital cost estimation factorial method

Catalytic Hydrogenation of Furan, 24 Factorial Design

Cell factory

Cell factory fermentation process

Cell factory robustness

Cement dust factory

Central composite designs with fractional factorials

Chemical engineering factory level

Chemical factories

Classical factorial design

Coding of factorial designs

Complete factorial experiment

Compound selection factorial design

Compound selection fractional factorial

Confounding Fractional Factorial Designs

Confounding effects in fractional factorial designs

Confounding in Fractional Factorial Experiments

Contaminated lead processing factory

Continuous process factory

Cost estimation factorial method

Cradle-to-factory gate energy

Cumulant factorial

Decent Factory

Design Procedure for Fractional Factorial Experiments

Designs factorial-based

Designs three-level full factorial

Desktop Chemical Factory

Detailed factorial estimates

Detailed factorial method

Differentiability factorial

Disinfection, factories

Doehlert designs with full factorials

Doehlert fractional factorial

Doehlert full factorial

Double factorial

Double factorial function

Embedded full factorials

Enamine Reduction, 22 Factorial Design

European Lead Factory

Example Feuding Factory Workers

Example Fractional Factorial Design for Exploring the Reaction Space

Example of a two-level factorial design

Excel factorial designs

Excel fractional factorial designs

Experimental design fractional factorial

Experimental design full factorial

Experimental factorial

Experimental factorial experiments

Experimental fractional factorial

Experimental full factorial

Extraction factorial experimental design

F-factory

Factor factorial methods

Factorial Design Analysis Template

Factorial Design Examples Using Excel

Factorial Design Models

Factorial Design for the Preparation of Affinity Resins

Factorial Design with Centre Point Example

Factorial Discriminating

Factorial Variable

Factorial analysis

Factorial analysis of metal-producing reactions

Factorial analysts

Factorial coding

Factorial correlation function

Factorial cost estimates

Factorial costing technique

Factorial design

Factorial design Nipagen

Factorial design and optimization

Factorial design complete

Factorial design dispersion matrix

Factorial design effects, supersaturation

Factorial design experimental standard deviation

Factorial design experimental variable

Factorial design formulation

Factorial design linear models

Factorial design linear terms

Factorial design model matrix

Factorial design of experiments

Factorial design partial

Factorial design projection

Factorial design quantitative/qualitative

Factorial design systematic effects

Factorial design treatments

Factorial design variance, experimental

Factorial design viscosity

Factorial design, lead optimization

Factorial design, orthogonal

Factorial design, variables affecting

Factorial designs Doehlert design

Factorial designs applications

Factorial designs applications response

Factorial designs center points

Factorial designs data analysis

Factorial designs design matrix

Factorial designs disadvantages

Factorial designs effects from

Factorial designs examples of practical

Factorial designs examples of practical application

Factorial designs factor)

Factorial designs four-level

Factorial designs interaction effect plot

Factorial designs notation

Factorial designs problem

Factorial designs quantitative process studies

Factorial designs saturated

Factorial designs surface

Factorial designs with fractional factorials

Factorial designs with response surface

Factorial designs with response surface models

Factorial designs, description

Factorial efficiency

Factorial experimental design, statistical

Factorial experimental designs

Factorial experiments

Factorial experiments with mixture

Factorial factor analysis

Factorial matrix-type

Factorial method

Factorial method (capital cost

Factorial method of costing

Factorial methods, chemometrics

Factorial model experimental design

Factorial moment

Factorial notation

Factorial or Sequential Methods

Factorial plan, application

Factorial points

Factorial principal component analysis

Factorial setup

Factorial space

Factorial studies

Factorial test

Factorial test plans

Factorial trial design

Factorial versus one-at-a-time design

Factorial, description

Factorial, two-level

Factorials embedded

Factorials second kind

Factorials third kind

Factorials, Permutations, and Combinations

Factories

Factories

Factories Inspectorate

Factories for munitions production

Factories legislation

Factory Acts

Factory Direct

Factory Inspection Amendment

Factory Insurance Association

Factory Measures

Factory Mutual

Factory Mutual , protection systems

Factory Mutual Calorimeter Test

Factory Mutual Corner Test

Factory Mutual Engineering Corporation

Factory Mutual Research

Factory Mutual Research Corp

Factory Mutual Research Corporation

Factory Preparation Plant Production

Factory Waste Lime

Factory Workshop Act

Factory acceptance test , Good

Factory acceptance testing

Factory acceptance testing (FAT)

Factory acceptance tests

Factory and Workshop Act

Factory automation

Factory batik workers

Factory built assemblies

Factory construction

Factory construction high explosives

Factory cost price

Factory development

Factory dispersal

Factory farming methods

Factory freezer

Factory hygiene

Factory inspection

Factory inspector

Factory inspectors 196. Also

Factory labor

Factory layout

Factory layout and operation

Factory licence

Factory mutual apparatus

Factory production quality control

Factory quality

Factory system

Factory workers, cancer development

Factory workers, targeting

Factory, photosynthesis

Factory, photosynthesis energy

Factory-assembled towers

Factory-indirect labor

Factory-made cigarettes

Factory-roof skew profiles

Factory-roof skew profiles genomes

Factory-wide network

Factory/shop grades

Felixdorf Factory Ammionals

Felixdorf Factory Ammonals

Filamentous fungi, cell factories

Fish factory effluent

Focused factories from geographical to product segmentation

Focused factory

Fractional factorial

Fractional factorial analysis

Fractional factorial analysis approach

Fractional factorial design

Fractional factorial designs examples of practical applications

Fractional factorial designs problem

Fractional factorial designs with full factorials

Fractional factorial designs with response surface models

Fractional factorial designs, use

Fractional factorial experiment

Fractional-factorial designs chromatography

Fractional-factorial designs effects interpretation

Fractional—factorial screening

Fractional—factorial screening design

Framework for the Analysis of Factorial Designs

French explosives factories

From Factorial to Sequential Designs

Full Factorial vs. Classical Experiments

Full factorial design

Full factorial designs problem)

Full factorial designs three-level design

Full factorial experiment

Function factorial

Fungal Cell Factories

Fungi, cell factories

Generator of a fractional factorial design

Glue factory

Green factories

Gretna Explosives Factory

Half factorial designs

Half-fractional factorial design

Hidden factory

High level factorial plan

Higher Factorial Experiments

How to construct a fractional factorial design

How to construct resolution III fractional factorial designs

Human genome factory-roof skew profiles

Ice Cream in the Factory

Incomplete factorial design

Incomplete three level factorial

Incomplete three level factorial design

Industrial Factory, Milan, Italy

Industrial factory

Inspectors Railways Factory Inspectorate Railway

Interpretation fractional factorials

Japan factory waste

Jiangmen Pesticide Factory

Krummel, factory

Latin square factorial design

Legislation Factory Acts

Living factory technology

Manchester, factory

Mapping visual factory

Mathematical models factorial designs

Meson factories

Model-robust factorial design

More on generators Highly fractionated factorial designs

Mozambique factory

Multi-factorial design

Multi-factorial experiments

Multi-product cell factory

Multi-product microbial cell factory

Myanmar Spirulina Factory

N factorial

Next page spread of, factory farms and

Nunc cell factories

Okuno-Jima poison gas factory

Ordnance Factory Board

Ordnance factories

Paper pulp factory

Partial Factorials at Several Levels Calibration Designs

Pattern 16.16 Factories

Photon Factory , Tsukuba, Japan

Photosynthetic factory

Plackett-Burman designs with full factorials

Planning experiments factorial designs

Plant factory

Powder factories

Process home factories

Proteins factories

Pyrolysis factorial experiment

Quarter factorial designs

Reaction factorial experiment analysis

Recent Trends in Cell Factory Construction for Bioprocessing

Regular fractional factorial design

Reinsdorf, factory

Replication factories

Resin factory effluent

Resolution III fractional factorial designs

Resolution IV fractional factorial designs

Resolution factorial design

Resolution of Fractional Factorial Experiments

Resolution of a fractional factorial design

Response surface models with fractional factorials

Royal Aircraft Factory

Royal Gunpowder Factory

Royal Gunpowder Factory, Waltham

Royal Gunpowder Factory, Waltham Abbey

Royal Gunpowder Factory, Waltham Abbey Essex

Royal Naval Cordite Factory

Royal Naval Cordite Factory, Holton Heath

Royal Ordnance factories

Rubber factories

Rubber factories, airborne

Saccharomyces cerevisiae cell factory

Safety in blackpowder factories

Safety requirement specification factory acceptance test

Saturated fractional factorial

Saturated fractional factorial designs

Saturated fractional factorial designs and screening

Screening experiments fractional factorial

Screening full-factorial design

Search factorial

Second factorial moment

Simplex-centroid-full factorial design

Software factory

Some comments about full factorial designs

South American orange juice factory

Statistical factorial experimental design techniques

Statistical methods factorial experiments

Sum of Squares in Generalised Factorial Designs

Summary of the factorial method

Technical details of factory management

The Assumptions Underlying Factorial Design

The Crustal-Ocean-Atmosphere Factory

The Factorial Method

The Factories Act

The atom factories Making new elements

The factorial method of cost estimation

The manufacture of solventless powder in German factories

The use of factorial designs in physical tablet stability studies

Thermometer factories

Three level factorial design optimization

Three-level factorial design

Tools visual factory

Triangle Shirtwaist Factory

Two-level factorial experimental design

Underwriters Laboratory factory

Unreplicated factorial design

Visual factory

Waste heat from factories

Water-in-oil fractional factorial designs

Water-in-oil full factorial designs

Waterborne Bonding Systems in Factory Usage

What is a factorial design

Women Chemists as Factory Inspectors

Women Workers in Gas Mask Factory

Wood-pulp factory

Wujin LinChuan Chemical Factory

Z Factorial Designs

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