Results 31 to 40 of about 127,202 (251)

Factorial Design in Cement Raw Mix Reactivity Investigation

Materiales de Construccion, 1989
The present paper corroborates, that experimental design technics are applicable to raw mix burnability investigations, and with it the obtained results could cover all the range of possible concentrations of industrial interest. Obtained results agree
Gabriel Luis Duque Fernández, Josefina de las Mercedes Cardoso Camacho, Ester Rubio Frías, Wilhem Muller   +3 more
doaj   +1 more source

Resveratrol Nanocrystal Incorporated into Mesoporous Material: Rational Design and Screening through Quality-by-Design Approach

Nanomaterials, 2022
Bioflavonoids from grape seeds feature powerful antioxidant and immunostimulant activities, but they present problems related to solubility and bioavailability.
Ahmad Ainurofiq, Yuniawan Hidayat, Eva Y. P. Lestari, Mayasri M. W. Kumalasari, Syaiful Choiri   +4 more
doaj   +1 more source

Moderators of the Effects of Exercise and Manual Therapy for People With Knee and Hip Osteoarthritis: A Secondary Analysis of a Randomized Clinical Trial

Arthritis Care &Research, EarlyView.
Objective This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. This is a secondary analysis of data from the MOA trial that compares the clinical effectiveness of manual ...
Daniel Cury Ribeiro, Sarah E. Lamb, J. Haxby Abbott   +2 more
wiley   +1 more source

Optimization of MCM-48 synthesis using factorial design

Cerâmica
MCM-48 mesoporous materials were hydrothermally synthesized according to the 22 factorial design by varying the crystallization time and temperature of the synthesis gel, and characterized by means of X-ray diffraction analysis and adsorption of N2.
A. R. do Nascimento, R. L. B. de A. Medeiros, M. A. de F. Melo, D. M. de A. Melo, M. J. B. de Souza   +4 more
doaj   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

Advanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies, Daniel E. Driemeyer, Aaron P. Stebner   +2 more
wiley   +1 more source

Generation of Factorial Designs

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1976
Summary This paper describes a method for generating asymmetrical factorial designs given specified relationships between the levels of treatment and plot factors. Comparisons are made with a generalized cyclic method (John and Dean, 1975) for single replicate designs.
openaire   +2 more sources

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source