Results 51 to 60 of about 49,095 (248)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
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
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Multi-objective optimization of the thermal management system for electrosprayed aluminum nitride coatings for light-emitting diode modules [PDF]
This report investigates the prediction of the thermal performance of Light Emitting Diodes (LEDs) by electrostatic spraying, which was applied to aluminum nitride (AlN)-coated heat sinks using the desirability function based on response surface ...
Zhe Zou +3 more
doaj +1 more source
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
To study the flow and strength characteristics of coal slime based backfill materials, orthogonal tests were used to design one cemented backfill material combining coal slime, high-water-content materials, cement, and fly ash.
Baifu AN +5 more
doaj +1 more source
Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model
The training algorithm of twin least squares support vector regression (TLSSVR) transforms unequal constraints into equal constraints in a pair of quadratic programming problems, it owns faster computational speed.
Shiguang Zhang +3 more
doaj +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Application of random regression models for genetic analysis of 305-d milk yield over different lactations of Iranian Holsteins [PDF]
Objective During the last decade, genetic evaluation of dairy cows using longitudinal data (test day milk yield or 305- day milk yield) using random regression method has been officially adopted in several countries.
Mahdi Elahi Torshizi +2 more
doaj +1 more source
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source

