Results 181 to 190 of about 220,973 (311)

A Comparative Investigation of Machine Learning Algorithms for Pore-Influenced Fatigue Life Prediction of Additively Manufactured Inconel 718 Based on a Small Dataset. [PDF]

Materials (Basel), 2023
Hu BL, Luo YW, Zhang B, Zhang GP.
europepmc   +1 more source

Predicting the fatigue life of polycarbonate

, 2006
In this study a constitutive modelling approach is used to predict the fatigue life of polycarbonate. After a thorough investigation on the heating effects, accurate lifetime predictions are made under isothermal as well as non-isothermal conditions. Moreover, it is shown that cyclic fatigue has an accelerated effect on the ageing behaviour.
Janssen, R.P.M., Kanter, de, D., Govaert, L.E., Meijer, H.E.H.   +3 more
openaire   +1 more source

Fatigue Life Prediction of Welded Joints

, 1998
The probabilistic approach to welded joints design is presented and methods for their fatigue life prediction are suggested. The explicit formula for estimation the mean value of fatigue life for welded joints subjected to random loading causing in the critical point of weld toe stresses with certain stress history distributed after Weibull law, is ...
Jelaska, Igor, Jelaska, Damir
openaire   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Machine Learning-Based Fatigue Life Prediction for E36 Steel Welded Joints. [PDF]

Materials (Basel)
Zhu L, Guo H, Song Z, Liu Y, Peng J, Wang J.   +5 more
europepmc   +1 more source

Gaussian Process for Machine Learning-Based Fatigue Life Prediction Model under Multiaxial Stress-Strain Conditions. [PDF]

Materials (Basel), 2022
Karolczuk A, Skibicki D, Pejkowski Ł.
europepmc   +1 more source

Mastering Complexity toward High‐Performance Multi‐Principal Element Alloy‐Based Films and Coatings: A Review on Microstructural Regulation and Property Optimization

Advanced Science, EarlyView.
This review provides a comprehensive exploration of microstructure regulation strategies for multi‐principal element alloy‐based films and coatings, with a focus on the interplay between elemental composition, nanoscale architecture, heterostructures and interfacial engineering in tailoring their properties and functions. A systematic analysis of their
Jiaming Cao, Jiayi Sun, Heqing Li, Zhiqiang Wu, Xianghai An   +4 more
wiley   +1 more source

Low Cycle Fatigue Life Prediction for Hydrogen-Charged HRB400 Steel Based on CPFEM. [PDF]

Materials (Basel)
Zeng B, Wei XF, Tan JZ, Zhang KS.
europepmc   +1 more source

Fatigue Life Prediction of CFRP-Strengthened RC Beams with Flexural Crack under Hygrothermal Environments. [PDF]

Materials (Basel), 2022
Guo X, Cui H, Wang Y, Chen Z.
europepmc   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source