Results 21 to 30 of about 2,293 (256)

Improving Innovation from Science Using Kernel Tree Methods as a Precursor to Designed Experimentation

open access: yesApplied Sciences, 2020
A key challenge in applied science when planning a designed experiment is to determine the aliasing structure of the interaction effects and selecting the appropriate levels for the factors.
Timothy M. Young   +3 more
doaj   +1 more source

Selection and determination of the effective factors on packaging paper print quality using design of experiments [PDF]

open access: yesتحقیقات علوم چوب و کاغذ ایران, 2014
In present competitive world, packaging has a significant effect on the rate of sale. Unfortunately, in Iran's packaging industry, the variation of printing methods is too low which leads to reduction in quality of packing and the amount of sale ...
Hossein Shahbazi
doaj   +1 more source

Optimization of Ultrasound-Assisted Extraction of Vitamin C from Capsella Bursa-pastoris by Response Surface Methodology

open access: yesLiang you shipin ke-ji, 2022
The optimum ultrasound-assisted extraction parameters of Vitamin C from Capsella bursa-pastoris was studied by Response Surface Methodology. The main factors of the extraction were selected by the Confounded Fractional Factorial test.
WU Hai-yan   +4 more
doaj   +1 more source

Fast, lean-and-agile, multi-parameter multi-trending robust quality screening in a 3D-printed product

open access: yesAdvances in Industrial and Manufacturing Engineering, 2021
Additive manufacturing (AM) has revolutionized the local production realization of highly customizable items. However, the high process complexity - inherent to AM operations - renders uncertain the quality performance of the final products. Consequently,
George Besseris
doaj   +1 more source

Augmenting 16-Run Two-Level Non-Regular Fractional Factorial Designs

open access: yesMathematics
When the resources for experimentation are limited, experimenters usually turn to the class of 2-level fractional factorial designs. Resolution III fractional factorial designs are the smallest available designs, but they alias main effects and 2-factor ...
Hanan Alqarni   +2 more
doaj   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Development of a Discriminative Dissolution Method, Using In-Silico Tool for Hydrochlorothiazide and Valsartan Tablets

open access: yesPharmaceutics, 2023
Hydrochlorothiazide (HTZ) and Valsartan (VAL) are poorly soluble drugs in BCS classes IV and II. This study aimed to develop a method to assess the dissolution profile of tablets containing HTZ (12.5 mg) and VAL (160 mg) as a fixed-dose combination ...
Rosmery Merma Leon   +4 more
doaj   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

R Package OBsMD for Follow-Up Designs in an Objective Bayesian Framework

open access: yesJournal of Statistical Software, 2020
Fractional factorial experiments often produce ambiguous results due to confounding among the factors; as a consequence more than one model is consistent with the data. Thus, the practical problem is how to choose additional runs in order to discriminate
Laura Deldossi, Marta Nai Ruscone
doaj   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy