Search results for "Design of experiments"

showing 10 items of 41 documents

Get into flow: Design of experiments as a key technique in the optimization of anodic dehydrogenative C,C cross-coupling reaction of phenols in flow …

2021

Abstract The optimization of electro-organic reactions poses a challenge due to the various parameters involved. Quite often those parameters are not independent from each other, leading the experimental scientist using linear approaches into an optimization loophole. We report a strategy for the optimization of the anodic oxidative dehydrogenative C,C cross-coupling reactions for the synthesis of biphenols based on Design of Experiments (DoE), which overcomes the drawbacks of linear optimization approaches. Using a fractional design, we increased the yield of a long-time investigated example reaction from 44% up to 85% and point out different suitable reaction conditions through to linear …

Materials scienceLinear programmingGeneral Chemical EngineeringDesign of experiments02 engineering and technologyParameter space010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesCoupling reaction0104 chemical sciencesAnodeYield (chemistry)Linear regressionElectrochemistryPoint (geometry)0210 nano-technologyBiological systemElectrochimica Acta
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Relevant factors for the eco-design of polylactide/sisal biocomposites to control biodegradation in soil in an end-of-life scenario

2017

[EN] The eco-design considers the factors to prepare biocomposites under an end-of-life scenario. PLA/sisal biocomposites were obtained from amorphous polylactide and sisal loadings of 10, 20 and 30 wt% with and without coupling agent, and subjected to biodegradation in soil according to standard IS0846. Mass loss, differential scanning calorimetry and size-exclusion chromatography were used for monitoring biodegradation. A statistical factorial analysis based on the molar mass M-n, and crystallinity degree X-c pointed out the relevance and interaction of amount of fibre and use of coupling agent with the time of burial in soil., During the preparation of biocomposites, chain scission provo…

Materials scienceSolucions polimèriquesPolymers and Plastics02 engineering and technology010402 general chemistry01 natural sciencesSisalDegradationDifferential scanning calorimetryStatistical factorial analysisSize exclusion chromatographyDifferential scanning calorimetryMaterials ChemistryComposite materialSISALcomputer.programming_languageMaterials compostosTermoplàsticsBiodegradation021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesAmorphous solidPolylactide (PLA)Natural fibreMechanics of MaterialsMAQUINAS Y MOTORES TERMICOSDegradation (geology)Biodegradation in soilBiocomposite0210 nano-technologycomputerBiocompositeDesign of experiments
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Experimental Study of the Laser Cutting Process on 1C45 - 3 mm Steel

2014

The Paper Presents the Measurement Systems Analysis, System Capability and Optimization of a Laser Cutting System for 3 Mm Alloy Steel. for the Measurement System Analysis and System Capability the Data was Introduced in a Excel Sheet which was Designed According to QS9000 Standard (Measurement System Analysis) to Calculate the Measuring System Repeatability, Reproducibility and Capability. Design of Experiment (DOE) was Used for Process Optimization the Optimization was Conducted in an Operational Manufacturing Environment and was Based on the Design of a 25 Full Factorial Experiment. the Laser Parameters (input) were Feed Rate v, Gas Pressure p, Power P, Frequency F and Efficiency R while…

Measurement systems analysisEngineeringbusiness.industryLaser cuttingDesign of experimentsMechanical engineeringGeneral MedicineRepeatabilityFactorial experimentSurface finishLaserlaw.inventionlawProcess optimizationbusinessApplied Mechanics and Materials
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Adaptive design optimization: a mutual information-based approach to model discrimination in cognitive science.

2010

Discriminating among competing statistical models is a pressing issue for many experimentalists in the field of cognitive science. Resolving this issue begins with designing maximally informative experiments. To this end, the problem to be solved in adaptive design optimization is identifying experimental designs under which one can infer the underlying model in the fewest possible steps. When the models under consideration are nonlinear, as is often the case in cognitive science, this problem can be impossible to solve analytically without simplifying assumptions. However, as we show in this letter, a full solution can be found numerically with the help of a Bayesian computational trick d…

Optimal designCognitive scienceModels StatisticalArtificial neural networkbusiness.industryCognitive NeuroscienceDesign of experimentsBayesian probabilityPosterior probabilityStatistical modelBayes TheoremMutual informationDensity estimationCognitionDiscrimination PsychologicalArts and Humanities (miscellaneous)Nonlinear DynamicsResearch DesignHumansComputer SimulationArtificial intelligencebusinessMathematicsNeural computation
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A Comparison between Three Meta-Modeling Optimization Approaches to Design a Tube Hydroforming Process

2012

Computer aided procedures to design and optimize forming processes have become crucial research topics as the industrial interest in cost and time reduction has been increasing. A standalone numerical simulation approach could make the design too time consuming while meta-modeling techniques enables faster approximation of the investigated phenomena, reducing the simulation time. Many researchers are, nowadays, facing such research challenge by using various approaches. Response surface method (RSM) is probably the most known one, since its effectiveness was demonstrated in the past years. The effectiveness of RSM depends both on the definition of the Design of Experiments (DoE) and the acc…

Polynomial regressionEngineeringHydroformingMathematical optimizationComputer simulationbusiness.industryMechanical EngineeringDesign of experimentsReduction (complexity)Function approximationMechanics of MaterialsKrigingGeneral Materials ScienceMoving least squaresbusinessKey Engineering Materials
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Advanced Statistical Tools for Six Sigma and other Industrial Applications

Six Sigma is a methodological approach and philosophy for quality improvement in operations management; its main objectives are identifying and removing the causes of defects, and minimizing variability in manufacturing and business processes. To do so, Six Sigma combines managerial and statistical tools, with the creation of a dedicated organizational structure. In this doctoral thesis and the three years of study and research, we have had the purpose to advance the potential applications of the methodology and its tools; with a specific attention on issues and challenges that typically prevent the realization of the expected financial and operational gains that a company pursue in applyin…

Six SigmaDesign of Experiments Small-medium sized enterprisescreening experimentsdecision making
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A statistical design of experiments for optimizing the MALDI-TOF-MS sample preparation of polymers. An application in the assessment of the thermo-me…

2011

[EN] The sample preparation procedure for MALDI-TOF MS of polymers is addressed in this study by the application of a statistical Design of Experiments (DoE). Industrial poly (ethylene terephthalate) (PET) was chosen as model polymer. Different experimental settings (levels) for matrixes, analyte/matrix proportions and concentrations of cationization agent were considered. The quality parameters used for the analysis were signal-to-noise ratio and resolution. A closer inspection of the statistical results provided the study not only with the best combination of factors for the MALDI sample preparation, but also with a better understanding of the influence of the different factors, individua…

Solucions polimèriquesEthylenePolymersAnalytical chemistryDegradation kineticsBiochemistryThermo-mechanical degradationSample preparation procedureAnalytical ChemistryMatrix (chemical analysis)chemistry.chemical_compoundDegradationGlycolsMatrix assisted laser desorption ionization time of flight mass spectrometryPolyethylene terephthalateMechanismsCationizationSample preparationRecyclingMechanical recyclingSpectroscopyPriority journalchemistry.chemical_classificationDithranolSignal to noise ratioPolyethylene terephthalateHydrolysisMultiple processingPolymerPoly (ethylene terephthalate)Potential reactionsInjection cyclesMAQUINAS Y MOTORES TERMICOSInductively coupled plasmaSimulationEthersMatrix-assisted laser desorption/ionization time-of-flightQuality parametersDesign of ExperimentsGlycol unitsSample preparationArticleEthyleneEnvironmental ChemistryPolyethylene terephthalatesMALDI TOF MSSignal noise ratioMass spectrometryMatrixTermoplàsticsSignal to noiseTransesterificationDegradation mechanismMatrix-assisted laser desorption/ionizationStatistical design of experimentsTransesterificationchemistryChemical engineeringOligomersDesorptionEthylene glycolControlled studyProcess optimizationAnalytica chimica acta
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Assessing the MALDI-TOF MS sample preparation procedure to analyze the influence of thermo-oxidative ageing and thermo-mechanical degradation on poly…

2011

[EN] Multiple processing by means of successive injection cycles was used to simulate the thermo-mechanical degradation effects on the oligomeric distribution of PLA under mechanical recycling. Likewise, an accelerated thermal ageing over PLA glass transition was performed in order to simulate its service life. MALDI-TOF MS was used for the analysis and the sample preparation procedure was assessed by means of a statistical Design of Experiments (DoE). The quality effects in use for the analysis were signal-to-noise ratio and Resolution. Different matrixes, analyte/matrix proportions and the use of NaTFA as cationization agent were considered. A deep inspection of the statistical results pr…

Solucions polimèriquesPolymers and PlasticsGeneral Physics and AstronomyTransesterificationsThermo-mechanical degradationSample preparation procedureMatrix (chemical analysis)DegradationMechanismsMaterials ChemistryCationizationMechanical recyclingSample preparationRepeating unitPoly(lactide)Signal to noise ratioChemistryMultiple processingDesign of Experiments (DoE)AnalytesInjection cyclesPolylactidesMAQUINAS Y MOTORES TERMICOSMatrix-assisted laser desorption/ionization-time-of-flight mass spectrometryGlass transitionDesign of experimentsGlass lasersThermo mechanicalMALDI TOF MSChromatographyMatrixMass spectrometrySignal to noiseTermoplàsticsOrganic ChemistryDegradation mechanismThermo-oxidative ageingStatistical design of experimentsMatrix-assisted laser desorption/ionizationInvestigation methodsMatrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)Polylactide (PLA)AgeingOligomersDegradation (geology)DesorptionDeep inspectionExperimentsPoly(lactide)European Polymer Journal
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A new mathematical approach for the estimation of the AUC and its variability under different experimental designs in preclinical studies

2011

The aim of the present work was to develop a new mathematical method for estimating the area under the curve (AUC) and its variability that could be applied in different preclinical experimental designs and amenable to be implemented in standard calculation worksheets. In order to assess the usefulness of the new approach, different experimental scenarios were studied and the results were compared with those obtained with commonly used software: WinNonlin® and Phoenix WinNonlin®. The results do not show statistical differences among the AUC values obtained by both procedures, but the new method appears to be a better estimator of the AUC standard error, measured as the coverage of 95% confi…

Statistics and ProbabilityComputer scienceDrug Evaluation PreclinicalAdministration Oralcomputer.software_genreSoftwareCiprofloxacinArea under curveVariance estimationAnimalsPharmacology (medical)Rats WistarPharmacologyModels Statisticalbusiness.industryDesign of experimentsEstimatorModels TheoreticalConfidence intervalRatsStandard errorResearch DesignArea Under CurveData miningbusinesscomputerSoftwarePharmaceutical Statistics
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Latin hypercube sampling with inequality constraints

2010

International audience; In some studies requiring predictive and CPU-time consuming numerical models, the sampling design of the model input variables has to be chosen with caution. For this purpose, Latin hypercube sampling has a long history and has shown its robustness capabilities. In this paper we propose and discuss a new algorithm to build a Latin hypercube sample (LHS) taking into account inequality constraints between the sampled variables. This technique, called constrained Latin hypercube sampling (cLHS), consists in doing permutations on an initial LHS to honor the desired monotonic constraints. The relevance of this approach is shown on a real example concerning the numerical w…

Statistics and ProbabilityFOS: Computer and information sciencesEconomics and EconometricsMathematical optimizationDesign of Experiments020209 energyMonotonic functionSample (statistics)Mathematics - Statistics Theory02 engineering and technologyStatistics Theory (math.ST)01 natural sciencesStatistics - Computation010104 statistics & probabilityRobustness (computer science)[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Sampling design0202 electrical engineering electronic engineering information engineeringFOS: Mathematics[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematicsDependenceUncertainty analysisLatin hypercube samplingComputation (stat.CO)MathematicsApplied MathematicsComputer experimentFunction (mathematics)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Computer experiment[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Latin hypercube samplingModeling and SimulationUncertainty analysisSocial Sciences (miscellaneous)Analysis
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