检索结果-南通市图书馆

Surroundings affect slip length dynamics in nanoscale friction through contact stiffness and damping

friction 2023年第2期11卷 216-227页

作者： Simona SKURATOVSKY Liron AGMON Enrico GNECCO Ronen BERKOVICH Department of Chemical Engineering Ben-Gurion University of the NegevBeer-Sheva 8410501Israel Marian Smoluchowski Institute of Physics Jagiellonian UniversityLojasiewicza 11Krakow 30-348Poland Ilze Katz Institute for Nanoscience and Technology Ben-Gurion University of the NegevBeer-Sheva 8410501Israel

friction force microscopy (FFM) explores the interaction in a sliding contact on the nanoscale, providing information on the frictional dynamics and lateral contact stiffness with lattice resolution. Recent FFM measurements on a NaCl crystal immersed in liquid (ethanol) surroundings displayed an increase of the effective contact stiffness, K_(eff), with the applied load, differently from similar measurements performed under ultra-high vacuum (UHV) conditions, where K_(eff) showed negligible load dependency. Additionally, under UHV conditions multiple slip length friction with increasing load was reported, while in ethanol surroundings only single (lattice unit length) slips were observed. Our current understanding of this behavior relates the transition from single jumps to multiple jumps dynamics to the normal load (manifested through the amplitude of the interaction potential at the contact, U0) and to the damping of the system. Here we have incorporated the effect of the load dependency on both U0 and K_(eff) within Prandtl‒Tomlinson based simulations, accompanied by variations in the damping coefficient of the system. Introducing the experimentally observed load dependency to K_(eff) resulted indeed in single slip jumps at critical damping, while multiple slip jumps were obtained at constant K_(eff). The average slip length increased with the normal load, particularly when the system became underdamped. Our work provides a glimpse on the relation between the characteristic observables in atomic-scale sliding friction (maximal slip forces, stiffness, and slip dynamics) with respect to their governing parameters (corrugation energy, effective stiffness, and damping). While common understanding in nanotribology relates the effect of surrounding media mainly to the interaction potential at the contact, here we show that the media can also greatly affect the elastic interaction, and consequently play an important role on the transition from single to multiple stick-slip.

关键词： friction force microscopy(FFM) nanoscale friction multiple jumps Prandtl‒Tomlinson model effective stiffness damping

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An experimental methodology for the concurrent characterization of multiple parameters influencing nanoscale friction

引用

friction 2020年第3期8卷 577-593页

作者： Marko PERCIC SaSa ZELENIKA Igor MEZIC Robert PETER Niksa KRSTULOVIC University of Rijeka Faculty of EngineeringVukovarska 58Rijeka 51000Croatia University of Rijeka Centre for Micro-and Nanosciences and TechnologiesRadmile Marej&ie 2Rjeka 51000 Croatia Department of Mechanical Engineering UC Santa BarbaraSanta BarbaraCA 93105USA University of Rijeka Department of PlysicsRadmile Matejtic 2Rijeka 51000Croatia Institute of Plnysics Bijenicka 46Zagreb 1000Croatia

A structured transdisciplinary method for the experimental determination of friction in the nanometric domain is proposed in this paper.The dependence of nanoscale friction on multiple process parameters on these scales,which comprise normal forces,sliding velocities,and temperature,was studied via the lateral force microscopy approach.The procedure used to characterize the stiffness of the probes used,and especially the influence of adhesion on the obtained results,is thoroughly described.The analyzed thin films were obtained by using either atomic layer or pulsed laser deposition.The developed methodology,based on elaborated design of experiments algorithms,was successfully implemented to concurrently characterize the dependence of nanoscale friction in the multidimensional space defined by the considered process parameters.This enables the establishment of a novel methodology that extends the current state-of-the-art of nanotribological studies,as it allows not only the gathering of experimental data,but also the ability to do so systematically and concurrently for several influencing variables at once.This,in turn,creates the basis for determining generalizing correlations of the value of nanoscale friction in any multidimensional experimental space.These developments create the preconditions to eventually extend the available macro-and mesoscale friction models to a true multiscale model that will considerably improve the design,modelling and production of MEMS devices,as well as all precision positioning systems aimed at micro-and nanometric accuracy and precision.

关键词： nanoscale friction lateral force microscopy experimental determination methodology multivariate space contact mechanics

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Artificial intelligence-based predictive model of nanoscale friction using experimental data

引用

friction 2021年第6期9卷 1726-1748页

作者： Marko PERČIĆ Saša ZELENIKA Igor MEZIĆ University of Rijeka Faculty of Engineering51000 RijekaCroatia University of Rijeka Centre for Micro-and Nanosciences and Technologies&Center for Artificial Intelligence and Cybersecurity51000 RijekaCroatia University of California Santa Barbara Department of Mechanical EngineeringSanta BarbaraCA 93105USA

A recent systematic experimental characterisation of technological thin films,based on elaborated design of experiments as well as probe calibration and correction procedures,allowed for the first time the determination of nanoscale friction under the concurrent influence of several process parameters,comprising normal forces,sliding velocities,and temperature,thus providing an indication of the intricate correlations induced by their interactions and mutual effects.This created the preconditions to undertake in this work an effort to model friction in the nanometric domain with the goal of overcoming the limitations of currently available models in ascertaining the effects of the physicochemical processes and phenomena involved in nanoscale contacts.Due to the stochastic nature of nanoscale friction and the relatively sparse available experimental data,meta-modelling tools fail,however,at predicting the factual behaviour.Based on the acquired experimental data,data mining,incorporating various state-of-the-art machine learning(ML)numerical regression algorithms,is therefore used.The results of the numerical analyses are assessed on an unseen test dataset via a comparative statistical validation.It is therefore shown that the black box ML methods provide effective predictions of the studied correlations with rather good accuracy levels,but the intrinsic nature of such algorithms prevents their usage in most practical applications.Genetic programming-based artificial intelligence(AI)methods are consequently finally used.Despite the marked complexity of the analysed phenomena and the inherent dispersion of the measurements,the developed AI-based symbolic regression models allow attaining an excellent predictive performance with the respective prediction accuracy,depending on the sample type,between 72%and 91%,allowing also to attain an extremely simple functional description of the multidimensional dependence of nanoscale friction on the studied variable process parameters.An effective tool for nanoscale friction p

关键词： nanoscale friction thin films data mining machine learning(ML) predictive artificial intelligence(AI)-based model

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：