Results 131 to 140 of about 217,528 (303)

Implementation of Machine Learning Using Deep Neural Networks to Estimate the Failure Risk Caused by Leakage in Pressure Relief Devices

Journal of Materials Exploration and Findings
The primary objective of deploying Pressure Relief Device (PRD) equipment is to ensure the safety of pressure vessels within a pressurized system. Over time, PRD equipment may degrade and fail to perform its intended function, which must be identified as
Adi Yudho Wijayanto, Yossi Andreano, M. Ali Yafi Rizky, Dedi Priadi   +3 more
doaj   +1 more source

Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy

Advanced Engineering Materials, EarlyView.
A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang, Aparajita Pramanik, Sandipan Sen, Shubhashis Dixit, Marcel Muench, R. J. Vikram, Daniel Schliephake, Yolita M. Eggeler, Ankur Chauhan, Martin Heilmaier, Alexander Kauffmann   +10 more
wiley   +1 more source

Using Oracol® for Predicting Long-Term Telemetry Behavior for Earth and Lunar Orbiting and Interplanetary Spacecraft

, 2009
ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, CaliforniaProviding normal telemetry behavior ...
Losik, Len
core  

Integrating failure documentation with A3 template to improve product design quality [PDF]

, 2012
Design quality always has great impact on the competitive attribution of companies. Knowledge Management has become an important process which could help companies to accumulate the knowledge created in the past, and use it to solve the current problem ...
Zhu, Linjia
core  

Calibration and validation of a large scale abrasive wear model by coupling DEM-FEM : Local failure prediction from abrasive wear of tipper bodies during unloading of granular material

, 2016
Handling of granular materials like rocks, pebbles and sand can expose equipment to abrasive wear that can result in local failure. In some cases this can have far reaching economic significance such as the costs of replacement, the costs from machine ...
Forsström, Dan,, Jonsén, Pär,
core   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Design of equipment safety & reliability for an aseptic liquid food packaging line through maintenance engineering

, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The organisation of maintenance, in the Aseptic Liquid Food (ALF) industry, represents an important management task that enables a company to pursue higher ...
Riccetti, Sauro
core  

Prognostics for electronics components of avionics - NASA IGBT accelerated ageing case study [PDF]

, 2013
Insulate gate bipolar transistors (IGBTs) are widely used in electric vehicles, railway locomotive and new generation aircrafts, due to the IGBTs have advantages in small conduction resistance and small drive current.
Xie, Yuan'an
core  

Noise Reduction in CWRU Data Using DAE and Classification with ViT

Applied Sciences
With the Fourth Industrial Revolution unfolding worldwide, technologies including the Internet of Things, sensors, and artificial intelligence are undergoing rapid development.
Jun-gyo Jang, Soon-sup Lee, Se-yun Hwang, Jae-chul Lee   +3 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source