Results 81 to 90 of about 283,852 (314)

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian   +4 more
wiley   +1 more source

Curvature estimation for point cloud 2-manifolds based on the heat kernel

open access: yesAIMS Mathematics
The geometry processing of a point cloud 2-manifold (or point cloud surface) heavily depends on the discretization of differential geometry properties such as Gaussian curvature, mean curvature, principal curvature, and principal directions.
Kai Wang, Xiheng Wang, Xiaoping Wang
doaj   +1 more source

Hilbert geometries with Riemannian points [PDF]

open access: yesAnnali di Matematica Pura ed Applicata (1923 -), 2019
A Hilbert geometry \((\mathcal{M},d)\) consists of an open, strictly convex, and bounded subset \(\mathcal{M}\) of \(\mathbb{R}^n\), \(n\in \mathbb{N}\), and the Hilbert metric \(d\), given via the logarithm of certain cross ratios. The author defines a Riemannian point \(P\) of \((\mathcal{M}, d)\) by requiring that the Finsler norm on the tangent ...
openaire   +3 more sources

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

open access: yesAdvanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat   +6 more
wiley   +1 more source

Geometric Optimization and Mechanical Performance Enhancement of Auxetic Structures for High‐Impact Applications Through Fused Deposition Modeling

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the mechanical performance of three auxetic structures, identifying a re‐entrant‐star hybrid as the most effective for impact absorption. Finite element simulations and experiments demonstrate significant gains in energy absorption and flexural strength after geometric optimization. This study investigates the mechanical performance
Malik Hassan   +4 more
wiley   +1 more source

Point cloud geometry compression based on the combination of interlayer residual and IRN concatenated residual

open access: yesGraphical Models
Point clouds have been attracting more and more attentions due to its capability of representing objects precisely, such as autonomous vehicle navigation, VR/AR, cultural heritage protection, etc.
Meng Huang, Qian Xu, Wenxuan Xu
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

A Stochastic Geometry Analysis of Hybrid Cellular-Adhoc CDMA Networks

open access: yesInternational Journal of Information and Communication Technology Research, 2011
This paper studies the impact of using multihop wireless adhoc network in conjunction with cellular networks under a probabilistic routing strategy. Our objective is to obtain the outage probability of the twodimensional hybrid CDMA network under path ...
Neda Banivaheb, Keivan Navaie
doaj  

Performance Analysis of Deep Learning-Based Lossy Point Cloud Geometry Compression Coding Solutions

open access: yesIEEE Access
The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. The MPEG G-PCC was used as an anchor. Furthermore, LUT SR, which uses multi-resolution Look-Up tables,
Joao Prazeres   +3 more
doaj   +1 more source

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