Results 21 to 30 of about 253 (177)
Additive manufacturing revolutionizes design possibilities by allowing geometric freedom. Simultaneously, advances in intermetallic compounds and ceramic dispersion alloys push operating temperature limits ever higher. Herein, the application of additive manufacturing methods to fabricate parts made from these advanced materials is reviewed ...
Vladislav Yakubov +2 more
wiley +1 more source
Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM
Bearing fault is a process of gradual development and deepening. In the early stage of the fault, if it can be found out in time and taken reasonable prevention and elimination measures, we can avoid serious losses and safety accidents. Therefore, the feature extraction and analysis of early weak fault has important practical significance.
Qunyan Jiang +5 more
wiley +1 more source
The main objective of this investigation is to analyze the microstructure, tensile properties, and impact toughness of Ti6Al4V alloy joints developed using optimized parameters of linear friction welding (LFW) for gas turbine blisk assembly applications.
C. Mukundhan +6 more
wiley +1 more source
Product lifecycle management (PLM) is constantly improved by a steadily growing amount of data collected along the product and process development chain. This data supports designing optimized geometries and manufacturing processes. For the optimization of the manufacturing process, data from process design and manufacturing are extracted and processed.
Schiller, Sven +4 more
openaire +2 more sources
Step‐by‐Step Penalized Blind Kriging Methods for Surrogate Modeling
When building a surrogate model, it is important to identify a proper mean function for the kriging model. The commonly used variable selection method is the penalized blind kriging (PBK) method. But this method could lead to a low time efficiency, which is not suitable for experiments with time‐sensitive data.
Ziheng Feng +5 more
wiley +1 more source
Digital Twin‐Driven Machine Condition Monitoring: A Literature Review
Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the virtual replica in real time, is an emerging technology and paradigm at the forefront of the Industry 4.0 revolution. The implementation of DT in predictive maintenance has facilitated its growth.
He Liu +5 more
wiley +1 more source
Dynamic Characteristics Analysis of 3D Blade Tip Clearance for Turbine Blades with Typical Cracks
As well known, the crack is a typical fault of turbine blades, which is difficult to detect due to the weak fault features contained in the rotor vibration. Although some fault diagnosis methods based on blade tip timing (BTT) are proposed to detect blade cracks, the limited fault features can be extracted because the BTT signals contain only one ...
Xiaodong Zhang +6 more
wiley +1 more source
Taking the traction motor of CRH2 high‐speed train as the research object, this paper proposes a diagnosis method based on random forest and XGBoost for the compound fault resulting from stator interturn short circuit and air gap eccentricity. First, the U‐phase and V‐phase currents are used as fault diagnosis signal and then the Savitzky–Golay ...
Rui Tian +3 more
wiley +1 more source
Trajectory optimization and experiment of robotic belt grinding blisk
The blisk has the characteristics of complex structure and difficult material processing. Its machining accuracy and surface quality have a crucial impact on the overall performance of the aero-engine.
Fei LI +4 more
doaj +3 more sources
Design Optimization and Burst Speed Prediction of a Ti2AlNb Blisk
The increasing demand for power, fuel efficiency, and safety of aeroengines has called for weight reduction and structural integrity examination of the critical components. This paper is aimed at performing a systematic investigation on the design of a high‐speed Ti2AlNb blisk, including disc geometry optimization and burst speed prediction ...
Yue Guo +5 more
wiley +1 more source

