Results 121 to 130 of about 204,377 (277)

Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the first implementation of Ti‐based MXenes materials in brake pad friction composite material. The resulting composite material exhibits a 48% reduction in the wear rate; alongside significant improvements are observed for thermal and mechanical properties.
Eslam Mahmoud   +7 more
wiley   +1 more source

Finding Association Rules by Direct Estimation of Likelihood Ratios

open access: yes, 2017
In this paper, we propose a cost function that corresponds to the mean square errors between estimated values and true values of conditional probability in a discrete distribution. We then obtain the values that minimize the cost function.
Kawakami, Kento   +4 more
core   +1 more source

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

open access: yesAdvanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos   +11 more
wiley   +1 more source

Nitride‐Reinforced Metal Matrix Nanocomposite Powders Production by Plasma‐Assisted Thermochemical Treatment of Intermetallic Powders

open access: yesAdvanced Engineering Materials, EarlyView.
This study proposes a new methodology for producing metal matrix nanocomposites in the solid state. The process involves the plasma‐assisted thermochemical treatment of metallic alloy powders. As a proof‐of‐concept, TiN nanoparticles are synthesized directly on the surface of FeTi intermetallic powder particles, enabling the development of the ...
Deivison Daros Paim   +4 more
wiley   +1 more source

Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
In predictive maintenance, the complexity of the data often requires the use of Deep Learning models. These models, called “black boxes”, have proved their worth in predicting the Remaining Useful Life (RUL) of industrial machines.
Mouhamadou Lamine NDAO   +3 more
doaj   +1 more source

Engineering Deformation and Failure in Diamond Triply Periodic Minimal Surface Lattices via 3D Wall‐Thickness Grading

open access: yesAdvanced Engineering Materials, EarlyView.
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza   +3 more
wiley   +1 more source

On parameter estimation for locally stationary long-memory processes [PDF]

open access: yes
We consider parameter estimation for time-dependent locally stationary long-memory processes. The asymptotic distribution of an estimator based on the local infinite autoregressive representation is derived, and asymptotic formulas for the mean squared ...
Jan Beran
core  

3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response

open access: yesAdvanced Engineering Materials, EarlyView.
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley   +1 more source

Numerical performance of Penalized Comparison to Overfitting for multivariate kernel density estimation

open access: yes, 2019
Kernel density estimation is a well known method involving a smoothing parameter (the bandwidth) that needs to be tuned by the user. Although this method has been widely used the bandwidth selection remains a challenging issue in terms of balancing ...
Lacour, Claire   +3 more
core  

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

open access: yesAdvanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal   +10 more
wiley   +1 more source

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