Search
Now showing items 11-20 of 26
Special Issue on Uncertainty Quantification and Management in Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Additive manufacturing (AM) represents a new paradigm of manufacturing where parts are manufactured using their 3D models (such as CAD models) by joining materials in a layer-by-layer manner. Widespread implementation of ...
Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper reviews the state of the art in applying uncertainty quantification (UQ) methods to additive manufacturing (AM). Physics-based as well as data-driven models are increasingly being developed and refined in order ...
Dynamics Model Validation Using Time-Domain Metrics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Validation of dynamics model prediction is challenging due to the involvement of various sources of uncertainty and variations among validation experiments and over time. This paper investigates quantitative approaches for ...
Optimal Test Selection for Prediction Uncertainty Reduction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Economic factors and experimental limitations often lead to sparse and/or imprecise data used for the calibration and validation of computational models. This paper addresses resource allocation for calibration and validation ...
Stochastic Multidisciplinary Analysis Under Epistemic Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a probabilistic framework to include the effects of both aleatory and epistemic uncertainty sources in coupled multidisciplinary analysis (MDA). A likelihoodbased decoupling approach has been previously ...
Uncertainty Quantification of Time Dependent Reliability Analysis in the Presence of Parametric Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Limited data of stochastic load processes and system random variables result in uncertainty in the results of timedependent reliability analysis. An uncertainty quantification (UQ) framework is developed in this paper for ...
Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper develops a computational framework to optimize the process parameters such that the bond quality between extruded polymer filaments is maximized in fused filament fabrication (FFF). A transient heat transfer ...
Special Issue: Simulation-Based Design Under Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Discrete-time state-space models have been extensively used in simulation-based design of dynamical systems. These prediction models may not accurately represent the true physics of a dynamical system due to potentially ...
Discrepancy Prediction in Dynamical System Models Under Untested Input Histories
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a probabilistic framework for discrepancy prediction in dynamical system models under untested input time histories, based on information gained from validation experiments. Two surrogate modeling-based ...