Factors affecting vection and motion sickness in a passive virtual reality driving simulation. [PDF]
Hughes BP, Naeem HN, Davidenko N.
europepmc +1 more source
Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello +7 more
wiley +1 more source
Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task. [PDF]
Giorgi A +15 more
europepmc +1 more source
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé +9 more
wiley +1 more source
Exploring the Relationship Between Drivers' Stationary Gaze Entropy and Situation Awareness in a Level-3 Automation Driving Simulation. [PDF]
Ding W, Murzello Y, Cao S, Samuel S.
europepmc +1 more source
A Novel Approach to Sensorimotor Skill Acquisition Utilizing Sensory Substitution: A Driving Simulation Study. [PDF]
Ueda S, Sakai H, Kumada T.
europepmc +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
An Overview of Millimeter-Wave Radar Modeling Methods for Autonomous Driving Simulation Applications. [PDF]
Huang K, Ding J, Deng W.
europepmc +1 more source
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
Test procedure for the evaluation of partially automated driving HMI including driver monitoring systems in driving simulation. [PDF]
Schömig N +6 more
europepmc +1 more source

