Results 41 to 50 of about 1,603 (194)
This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
THE RELIABILITY ANALYSIS OF WELDING ROBOTS BASED ON T-S FUZZY FAULT TREE
According to the less effectiveness and difficulty in fault diagnosis of welding robots for its lots of uncertain faults phenomena and faults causes,this paper proposes the Fuzzy Fault Tree Analysis apply to welding robots fault diagnosis.
LIANG Fen, WANG Zhen
doaj
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
A Systematic Approach to Sensitivity Analysis of Fault Tolerant Systems in NMR Architecture [PDF]
A fault tree illustrates the ways through which a system fails. It states different ways in which combination of faulty components result in an undesired event in the system.
Kourosh Aslansefat +1 more
doaj
Fault diagnosis is integral to maintenance practices, ensuring optimal machinery functionality. While traditional methods relied on human expertise, intelligent fault diagnosis techniques, propelled by machine learning (ML) advancements, now offer ...
Sina Yousefi +2 more
doaj +1 more source
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti +11 more
wiley +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
Electrical Grounding Fault Prediction of EMU Traction Motor
The traction motor plays a key role in the EMU train’s power transmission system. The most frequent fault of traction motor is grounding fault. By using RBF neural network, decision tree and support vector machine (SVM) respectively, the traction motor’s
Xuemiao PANG +4 more
doaj
Safety + AI: A Novel Approach to Update Safety Models Using Artificial Intelligence
Safety-critical systems are becoming larger and more complex to obtain a higher level of functionality. Hence, modeling and evaluation of these systems can be a difficult and error-prone task.
Youcef Gheraibia +4 more
doaj +1 more source

