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Composite joints with high-performance close to the parent materials of aluminum matrix composites were fabricated by a new joining technology assisted by ultrasonic vibration. We found both the microstructure and the mechanical performance…

材料科学 · 物理学 2017-07-05 Xuesong Leng , Wei Yang , Jiaheng Zhang , Xing Ma , Weiwei Zhao , Jiuchun Yan

Linear mixed effects models (LMMs) are a popular and powerful tool for analyzing clustered or repeated observations for numeric outcomes. LMMs consist of a fixed and a random component, specified in the model through their respective design…

统计理论 · 数学 2019-12-10 Rok Blagus , Jakob Peterlin , Nataša Kejžar

Precipitation of fine particles into the base material of a metal is a potent strengthening mechanism. This is numerically analyzed within a continuum framework based on a higher order strain gradient plasticity theory and by use of an…

材料科学 · 物理学 2021-06-17 Mohammadali Asgharzadeh , Jonas Faleskog

Filler-induced strengthening is ubiquitous in materials science and is particularly well-established in polymeric nanocomposites. Despite having similar constituents, colloidal gels with solid filling exhibit distinct rheology, which is of…

软凝聚态物质 · 物理学 2025-04-29 Yujie Jiang , Yang Cui , Yankai Li , Zhiwei Liu , Christopher Ness , Ryohei Seto

A method to create a highly homogeneous magnetic field by applying topology optimized, additively manufactured shimming elements is investigated. The topology optimization algorithm can calculate a suitable permanent and nonlinear soft…

应用物理 · 物理学 2018-04-17 C. Huber , M. Goertler , F. Bruckner , C. Abert , I. Teliban , M. Groenefeld , D. Suess

Traditionally, yield strength prediction relies on detailed and resource-intensive microstructural characterization combined with empirical equations. However, quantifying microstructural feature length scales for novel processes like…

材料科学 · 物理学 2024-12-12 Abhinav Chandraker , Sampad Barik , Nichenametla Jai Sai , Ankur Chauhan

Parametric amplification is an interesting way of artificially increasing a MEMS Quality factor and could be helpful in many kinds of applications. This paper presents a theoretical study of this principle, based on Matlab/Simulink…

其他计算机科学 · 计算机科学 2008-02-22 L. Grasser , H. Mathias , F. Parrain , X. Le Roux , J. -P. Gilles

Design For Manufacturing (DFM) approaches aim to integrate manufacturability aspects during the design stage. Most of DFM approaches usually consider only one manufacturing process, but products competitiveness may be improved by designing…

其他计算机科学 · 计算机科学 2011-06-17 Olivier Kerbrat , Pascal Mognol , Jean-Yves Hascoët

The vastness of the space of possible multicomponent metal alloys is hoped to provide improved structural materials but also challenges traditional, low-throughput materials design efforts. Computational screening could narrow this search…

This paper focuses on the study of the Filament Based Lamellipodium Model (FBLM) and the corresponding Finite Element Method (FEM) from a numerical point of view. We study fundamental numerical properties of the FEM and justify the further…

细胞行为 · 定量生物学 2018-01-30 Nikolaos Sfakianakis , Aaron Brunk

Conventional mechanical design follows an iterative process in which initial concepts are refined through cycles of expert assessment and resource-intensive Finite Element Method (FEM) analysis to meet performance goals. While machine…

机器学习 · 计算机科学 2025-05-02 Yayati Jadhav , Amir Barati Farimani

In a fusion reactor internally coated with liquid metal, it will be important to diagnose the thickness of the liquid at various locations in the vessel, as a function of time, and possibly respond to counteract undesired bulging or…

等离子体物理 · 物理学 2016-09-21 S. M. H. Mirhoseini , F. A. Volpe

Additive manufacturing (AM) enables the development of high-performance architected cellular materials, emphasizing the growing importance of establishing programmable and predictable energy absorption capabilities. This study evaluates the…

应用物理 · 物理学 2024-02-27 Mattia Utzeri , Marco Sasso , Vikram S. Deshpande , S. Kumar

Previous work has attempted to boost Large Language Model (LLM) performance on planning and scheduling tasks through a variety of prompt engineering techniques. While these methods can work within the distributions tested, they are neither…

计算与语言 · 计算机科学 2024-11-25 Atharva Gundawar , Karthik Valmeekam , Mudit Verma , Subbarao Kambhampati

An experimental device of dry preform stamping was designed and carried out for the first stage of the RTM process. This tool was developed to test the feasibility to obtain specific double curved shape constituted with dry fabric…

经典物理 · 物理学 2011-10-25 D. Soulat , S. Allaoui , S. Chatel

Machine Learning (ML) plays an increasingly important role in the discovery and design of new materials. In this paper, we demonstrate the potential of ML for materials research using hard-magnetic phases as an illustrative case. We build…

An approach to the mechanical behaviour of textile composites at the scale of their constituting fibres, using an implicit finite element simulation code, is proposed in this chapter. The approach is based on efficient methods and…

综合物理 · 物理学 2012-01-24 Damien Durville

We present new rectangular mixed finite elements for linear elasticity. The approach is based on a modification of the Hellinger-Reissner functional in which the symmetry of the stress field is enforced weakly through the introduction of a…

数值分析 · 数学 2011-03-04 Gerard Awanou

Fiber reinforced materials (FRMs) can be modeled as bi-phasic materials, where different constitutive behaviors are associated with different phases. The numerical study of FRMs through a full geometrical resolution of the two phases is…

数值分析 · 数学 2021-11-18 Giovanni Alzetta , Luca Heltai

The incorporation of high-performance optoelectronic devices into photonic neuromorphic processors can substantially accelerate computationally intensive operations in machine learning (ML) algorithms. However, the conventional device…

新兴技术 · 计算机科学 2022-03-14 Yingheng Tang , Princess Tara Zamani , Ruiyang Chen , Jianzhu Ma , Minghao Qi , Cunxi Yu , Weilu Gao