Πλοήγηση ανά Θέμα "Design of experiments"
Αποτελέσματα 1-14 από 14
-
A bayesian framework for optimal experimental design in structural dynamics
(2016)A Bayesian framework for optimal experimental design in structural dynamics is presented. The optimal design is based on an expected utility function that measures the value of the information arising from alternative ... -
Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems
(2017)A Bayesian optimal experimental design (OED) framework is revisited and applied to a number of structural dynamics problems. The objective is to optimize the design of the experiment such that the most informative data are ... -
Bayesian optimal experimental design using asymptotic approximations
(2017)Bayesian optimal experimental design (OED) tools for model parameter estimation and response predictions in structural dynamics include sampling (Huan and Marzouk, J. Comput. Phys., 232:288–317, 2013) and asymptotic ... -
Could bio-stimulators affect flower, essential oil yield, and its composition in organic lavender (Lavandula angustifolia) cultivation?
(2020)Soil-climatic conditions of Greece and Mediterranean basin in general are favor for the development of aromatic-medicinal plants. A great aromatic-medicinal plant that is cultivated on a large scale in Greece and in ... -
An experimental investigation of surface roughness in 3D-printed PLA items using design of experiments
(2022)This work investigates the effect of 3D-printing parameters on surface roughness in polylactic acid printed material by adopting Taguchi's design of experiments approach. The control parameters under study were: number of ... -
An investigation into abrasive water jet machining of TRIP sheet steels using Taguchi technique and regression models
(2013)An experimental investigation of abrasive water-jet machining (AWJM) of transformation induced plasticity (TRIP) multi-phase sheet steels using design of experiments was carried out. The quality characteristics selected ... -
Irrigation and nitrogen application affect Greek oregano (Origanum vulgare ssp. hirtum) dry biomass, essential oil yield and composition
(2020)Oregano is a perennial crop native to the mountains, which has been extensively cultivated in the last decade. Due to the growing interest in oregano cultivation, the aim of this study was to investigate the effect of ... -
Modeling of abrasive water jet machining using Taguchi method and artificial neural networks
(2011)This work presents a hybrid approach based on the Taguchi method and the Artificial Neural Networks (ANNs) for the modeling of surface quality characteristics in Abrasive Water Jet Machining (AWJM). The selected inputs of ... -
Multi-parameter modeling of surface texture in EDMachining using the design of experiments methodology
(2006)This study concerns the formulation of a multi-parameter surface texture model in EDMachining of AISI D2 tool steel. The model is developed in terms of pulse current and pulse-on time which are the dominant machining ... -
Optimal Experimental Design Methodology for Parameter Estimation of Nonlinear Models
(2021)Experimental data are used to improve structural models and model-based predictions of output quantities of interest (QoI), that are crucial in making decisions regarding structural health, safety and performance. The ... -
Predicting the effectiveness of road safety campaigns through alternative research designs
(2016)Introduction A large number of road safety communication campaigns have been designed and implemented in the recent years; however their explicit impact on driving behavior and road accident rates has been estimated in a ... -
Prediction of surface roughness in turning using orthogonal matrix experiment and neural networks
(2010)A neural network modeling approach is presented for the prediction of surface texture parameters during turning of a copper alloy (GC-CuSnl2). Test specimens in the form of near-to-net-shape bars and a titanium nitride ... -
A robust methodology for optimizing the topology and the learning parameters of an ANN for accurate predictions of laser-cut edges surface roughness
(2022)The Feed-Forward and Backpropagation Artificial Neural Networks (FFBP-ANN) are generally employed for cut surfaces quality characteristics predictions. However, the determination of the neurons on the hidden layer and the ... -
Surface Roughness Optimization of Poly-Jet 3D Printing Using Grey Taguchi Method
(2019)In the current study, the surface finish of specimens fabricated with PolyJet 3D Printing Direct process is discussed. Three surface roughness indicators were measured at three positions, while three process parameters ...