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In order to predict the more accurate shape information of the melt pool in Selective Laser Melting (SLM), a new finite element temperature field simulations model is proposed. The simulations use a new heat source model that takes into…

Applied Physics · Physics 2021-06-08 Zhi Huang , Weibo Jia , Haoming Wang , Zhengtong Yang , Chao Li , Jie Liang , Yue Zhong

The spreading behaviour of cohesive sand powder is modelled by Discrete Element Method, and the spreadability and the mechanical jamming are focused. The empty patches and total particle volume of the spread layer are examined, followed by…

Fluid Dynamics · Physics 2025-02-27 Yulun Xu , Lanzhou Ge , Wenguang Nan

Stagnation detection has been proposed as a mechanism for randomized search heuristics to escape from local optima by automatically increasing the size of the neighborhood to find the so-called gap size, i.e., the distance to the next…

Neural and Evolutionary Computing · Computer Science 2021-04-23 Amirhossein Rajabi , Carsten Witt

Water collection from natural and industrial fogs has recently been viewed as a viable freshwater source. An interesting outgrowth of the relevant research as focused on arresting of the drift losses (un-evaporated and re-condensed water…

Fluid Dynamics · Physics 2024-03-12 Arijit Saha , Arkadeep Datta , Arani Mukhopadhyay , Amitava Datta , Ranjan Ganguly

The relationship between the macroscopic response of the slope and the macrostructure of the force chain network under the action of the metal plate was studied by the particle discrete element method and the persistent homology. The…

Soft Condensed Matter · Physics 2020-10-20 Shengdong Zhang , Shihui You , Longfei Chen , Xiaofei Liu

Nuclear material deposited in equipment, transfer lines, and ventilation systems of a processing facility is usually referred to as holdup. In this work, we propose to use an array of detectors co-axial to the inspected pipe to measure the…

Instrumentation and Detectors · Physics 2020-12-29 N. Rebei , M. Fang , A. Di Fulvio

Experiments are performed in which dust particles are levitated at varying heights above the powered electrode in a RF plasma discharge by changing the discharge power. The trajectories of particles dropped from the top of the discharge…

Plasma Physics · Physics 2015-06-03 Angela Douglass , Victor Land , Ke Qiao , Lorin Matthews , Truell Hyde

We propose a joint experimental and theoretical approach to measure the self-diffusion in a laser-cooled trapped ion cloud where part of the ions are shelved in a long-lived dark state. The role of the self-diffusion coefficient in the…

This paper develops stability and stabilization results for systems of fully coupled jump diffusions. Such systems frequently arise in numerous applications where each subsystem (component) is operated under the influence of other…

Probability · Mathematics 2021-08-23 Dang Nguyen , Duy Nguyen , Nhu Nguyen , George Yin

We study a catching-up algorithm for a class of differential inclusions driven by maximal monotone operators with continuous perturbations. Using a decomposition of the monotone operator into the closed convex hull of its single-valued part…

Optimization and Control · Mathematics 2026-04-14 Tan H. Cao , Hassan Saoud

The lasing threshold of a random laser is computed numerically from a generic model. It is shown that spatial correlations of the disorder in the medium (i.e., dielectric constant) lead to an increase of the decay rates of the eigenmodes…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 Michael Patra

This study introduces an advanced methodology for automatically identifying minor deformations in flat walls caused by vibrations from nearby railway tracks. It leverages high-density Terrestrial Laser Scanner (TLS) LiDAR surveys and AI/ML…

Machine Learning · Computer Science 2025-01-22 Surjo Dey , Ankit Sharma , Hritu Raj , Susham Biswas

Legged locomotion on deformable terrain is a challenging and open robo-physics problem since the uncertainty in terrain dynamics introduced by ground deformation complicates the dynamical modelling and control methods. Moreover, learning…

Robotics · Computer Science 2021-10-29 Juntao He

This article provides an introduction to one of the most efficient laser stabilization techniques - the Pound-Drever-Hall (PDH) method. The aim of the experiment is to build the PDH stabilization apparatus from scratch. I describe all the…

Instrumentation and Detectors · Physics 2020-07-03 Siddhant Singh

LADARs mounted on mobile platforms produce a wealth of precise range data on the surrounding objects and vehicles. The challenge we address is to infer from these raw LADAR data the location and orientation of nearby vehicles. We propose a…

Robotics · Computer Science 2017-09-26 Daniel D. Morris , Regis Hoffman , Paul Haley

We study posterior contraction rates for mixing measures in homoscedastic location-scale mixture models with infinitely many components. While posterior convergence at the level of densities is well understood, ensuring convergence of the…

Statistics Theory · Mathematics 2026-05-11 Nicola Bariletto , Dung Le , Alessandro Rinaldo , Nhat Ho

Scientific research and engineering practice often require the modeling and decomposition of nonlinear systems. The Dynamic Mode Decomposition (DMD) is a novel Koopman-based technique that effectively dissects high-dimensional nonlinear…

Achieving desired mechanical properties in additive manufacturing requires many experiments and a well-defined design framework becomes crucial in reducing trials and conserving resources. Here, we propose a methodology embracing the…

Machine Learning · Computer Science 2024-09-04 Mahsa Amiri , Zahra Zanjani Foumani , Penghui Cao , Lorenzo Valdevit , Ramin Bostanabad

Dynamical stability of the shock compressed layer with finite thickness is investigated. It is characterized by self-gravity, structure, and shock condition at the surfaces of the compressed layer. At one side of the shocked layer, its…

Astrophysics · Physics 2009-10-31 Ryoichi Nishi , Hideyuki Kamaya

In this study, we investigated the stability of dynamic mode decomposition (DMD) algorithms to noisy data. To achieve a stable DMD algorithm, we applied the truncated total least squares (T-TLS) regression and optimal truncation level…

Machine Learning · Computer Science 2021-11-08 Yuya Ohmichi , Yosuke Sugioka , Kazuyuki Nakakita
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