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Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Failure mode and effects analysis by data envelopment analysis
Failure mode and effects analysis (FMEA) is a method that examines potential failures in products or processes and has been used in many quality management systems. One important issue of FMEA is the determination of the risk priorities of failure modes.
Kwai-Sang Chin, Jian-Bo Yang
exaly +4 more sources
Failure Mode and Effects Analysis
To empirically compare 2 different commonly used failure mode and effects analysis (FMEA) scoring procedures with respect to their resultant failure mode scores and prioritization: a mathematical procedure, where scores are assigned independently by FMEA team members and averaged, and a consensus procedure, where scores are agreed on by the FMEA team ...
Ashley, L.J., Armitage, Gerry R.
openaire +4 more sources
Failure mode and effects analysis
Discusses the implementation of failure mode and effects analysis (FMEA) for both product design and process control. FMEA is implemented in two ways to ensure that the reliability requirements are met for the production of an airbag inflator. Design FMEA is performed to generate a process control plan, visual aids, and a process verification list ...
Sheng‐Hsien (Gary) Teng +1 more
openaire +2 more sources
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Is Failure Mode and Effect Analysis Reliable?
Journal of Patient Safety, 2009To test the reliability of failure mode and effect analysis (FMEA) within a hospital setting in the United Kingdom.Two multidisciplinary groups were recruited, within 2 hospitals from the same National Health Services (NHS) Trust, to conduct separate FMEAs in parallel on the same topic.
Nada Atef, Shebl +2 more
openaire +2 more sources
A stochastic approach for failure mode and effect analysis
RAIRO - Operations Research, 2017This study presents a novel approach combining Failure Mode and Effect Analysis (FMEA) and Multi-Attributive Border Approximation Area Comparison (MABAC) method based on a stochastic evaluation process to prioritize potential failure modes (FMs) in an assembly line.
Elif Kiliç Delice, Gülin Feryal Can
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Fuzzy Hierarchical Failure Mode and Effect Analysis
2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY), 2021Due to increased quality requirements, the optimization of automotive industry has become a crucial issue. However, measuring all the factors affecting quality in both time-as well as cost-consuming, and in many cases not feasible at all. This is why the importance of predictive models has enhanced.
Laszlo Pokoradi +2 more
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Software Failure Mode and Effects Analysis
2020Failure Mode and Effects Analysis (FMEA) is a key safety assessment analysis that determine failure modes at system, hardware and software level. Overlooking Failure Modes can often cause system or functionality failure which directly impacts a systems safety performance, reliability and quality. FMEA is a bottom-up approach which has four key phases -
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