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About 600 people attended the ECF20

About 600 people attended the ECF20

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ISFAM2018, Trondheim, Norway

ISFAM2018, Trondheim, Norway

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Int Symposium on Materials for Anti-icing 2019, NTNU

Int Symposium on Materials for Anti-icing 2019, NTNU

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Welcome to the NTNU Nanomechanical Lab at Department of Structural Engineering

Welcome to the NTNU Nanomechanical Lab at Department of Structural Engineering

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A novel method for Improving Dimensional Accuracy of Additively Manufactured Thin Channels

2021-04-16

A novel method for Improving Dimensional Accuracy of Additively Manufactured Thin Channels

A new paper published at International Journal of Precision Engineering and Manufacturing-Green Technology 

Powder-bed fusion additive manufacturing technology makes it possible to produce parts with complicated geometry and high accuracy. However, dimensional deviation caused by powder overmelting and dross formation is still a challenge for manufacturing thin channels. In this study, the origins of the overmelting of printed thin channels were analyzed and a concept called “melting cell” is proposed to describe and quantify the geometric error. Based on the geometrical relationship between the melting cell and target channel, a method for predicting and optimizing the fnal geometry of thin channels is outlined. In order to verify the method, geometries of thin horizontal circular channels in various sizes are studied as examples. The predicted results by the proposed method show a remarkable agreement with available experimental results. Moreover, a new egg-shaped compensated design, which is able to improve the dimensional accuracy of thin horizontal circular channels, is presented. The proposed method is simple yet very efective. It can be easily extended to the manufacturing of thin channels with various shapes, materials, and diferent powder bed fusion processes.


Simultaneously toughening and stiffening elastomers with octuple hydrogen bonding

2021-03-23

Simultaneously toughening and stiffening elastomers with octuple hydrogen bonding

 

Paper acccepted by Advanced Materials (Impact Factor of 27.4). 


Reconfigurable Mechanical Anisotropy in Self‐Assembled Magnetic Superstructures

2021-02-15

Reconfigurable Mechanical Anisotropy in Self‐Assembled Magnetic Superstructures

 

A new paper published at Advanced Science (Impact Factor of 15.8)

 

Through a comprehensive Monte Carlo investigation, this study demonstrates how the mechanical properties of self‐assembled magnetic nanocubes can be controlled intrinsically by the nanoparticle magnetocrystalline anisotropy (MA), as well as by the superstructure shape anisotropy, without any need for changes in structural design (i.e., nanoparticle size, shape, and packing arrangement). The new concepts developed here pave the way for the experimental realization of smart magneto‐micromechanical systems (based, e.g., on the permanent super‐magnetostriction effect illustrated here) and inspire new design rules for applied functional materials.


Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces

2021-01-01

Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces

 

Our group is truly the first one to develop machine -learning based tool for predicting nanoscale ice adhesion. see the publicaton here.

 

 


NML Season's Greetings 2020

2020-12-24

NML Season's Greetings 2020

happy christmas photo


Self-emulsifying and demulsification of water-in-oil microemulsion droplet

2020-10-09

Self-emulsifying and demulsification of water-in-oil microemulsion droplet

Stability, deformation and rupture of Janus oligomer enabled self-emulsifying water-in-oil microemulsion droplet

Physical Chemistry and Chemiscal Physics, DOI: 10.1039/D0CP03092A

We have investigated the spontaneous emulsification process from a water, oil and surfactant mixture to form a single microemulsion droplet. By applying counter forces on the water core and the surfactant shell, the mechanical stability of microemulsion droplets was probed at different ambient temperatures. A strengthening response and a softening regime before and after a temperature-dependent peak force were identified followed by final rupture. The findings contribute to establishing an atomistic view on the previous studies on microemulsion fluids, and provide a general guide to design a stable microemulsion system, such as oil recovery and production, drug delivery, materials fabrication, chemical sensors, wastewater treatment, etc.

Illustration


Timely data survey on the polysiloxane-based icephobic materials

2020-09-18

Timely data survey on the polysiloxane-based icephobic materials

Polysiloxane as icephobic materials – The past, present and the future

Chemical Engineering Journal, 2021, 405: 127088

 

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Perspectives of polysiloxane low-ice adhesion materials research.


Pressure-induced displacement of nanofluids in confined capillaries

2020-08-03

Pressure-induced displacement of nanofluids in confined capillaries

Insight into the pressure-induced displacement mechanism for selecting efficient nanofluids in various capillaries

Environmental Science: Nano, 2020, 7: 2785-2794

 

Fluids flow in porous media is ubiquitous and has important application in numerous fields, such as groundwater remediation, oil recovery, water purification, etc. Taken the oil recovery as an example, increasing the pumping pressure of injecting fluid can improve the oil recovery. However, as flooding pressure reaches a specific high value, considerable amount of oil would be trapped in the reservoir due to “fingering” phenomenon. How to overcome the “fingering” to increase the production of the residual oil is a hot topic in the research of petroleum engineering. Here we propose two distinct displacement mechanisms. Specifically, reducing the interfacial tension of fluids is beneficial to improve the displacement efficiency in hydrophobic capillary, while increasing viscosity of fluids favours for hydrophilic capillary. Based on the proposed mechanisms, we design three types of nanofluids to improve the displacement efficiency for different capillaries.

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Pascal-level ice adhesion surfaces

2020-07-09

Pascal-level ice adhesion surfaces

New article by Dr. Tong Li

Self-Deicing Electrolyte Hydrogel Surfaces with Pa-level Ice Adhesion and Durable Antifreezing/Antifrost Performance

ACS Applied Materials & Interfaces, 2020, 12, 35572-35578

 

We have synthesized the ionic gel (IG) surfaces for everlasting anti-freezing and zero ice adhesion to ice with tuneable anti-icing temperature (down to -48.4 degree C). Moreover, we introduce the concept “deicing time” to evaluate the ice self-removal from the IG surface within 10-100 s. These excellent performances are due that the ions inside the IG diffuse to the interface between IG and water/ice to destroy ice crystals, as demonstrated by both the molecular dynamics simulations and experimental results. In summary, we first provide a possible approach to prevent ice formation and accretion in the long-term.

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A novel "S-type" printing pattern developed at NML will yield lowest residual stresses in additive manufacturing of metallic materials

2020-05-25

A novel "S-type" printing pattern developed at NML will yield lowest residual stresses in additive manufacturing of metallic materials

A paper published in "Journal of Materials Science & Technology"

Illustration

 


Tensile characteristics of carbon nitride nanothreads

2020-05-14

Tensile characteristics of carbon nitride nanothreads

New article by PhD candidate Yuequn Fu

The effects of morphology and temperature on the tensile characteristics of carbon nitride nanothreads

Nanoscale, 2020, 12, 12462-12475

 

We have performed comprehensive investigation on tensile mechanical characteristics of seven experimental synthesized CNNTs by using first-principle based ReaxFF molecular dynamics (MD) simulations. All the CNNTs exhibit unique tensile mechanical properties that change with molecular morphology, atomic arrangement and the distribution of nitrogen in the skeleton. CNNTs with more effective loading covalent bonds at cross-sections are more mechanically robust. The study provides physical insights into the tensile characteristics of CNNTs for the design and application of CNNT-based nanostructures as multifunctional materials.

 

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New ionogel surfaces inhibit ice nucleation, growth and adhesion

2020-04-30

New ionogel surfaces inhibit ice nucleation, growth and adhesion

Anti-icing Ionogel Surfaces: Inhibiting Ice Nucleation, Growth, and Adhesion

ACS Materials Letters, 2020, 2: 616-623

We have fabricated an ionogel surface that can not only inhibit the ice nucleation but also the subsequent step, the ice growth. Due to the inhibited ice growth, the ionogel surface enables an unconventional inward ice growth in water droplets from the droplet-air interface, resulting in a spherical cap ice rather than a normal pointy cap ice at cold environment. Both experiments and molecular dynamic simulations confirm that the prepared ionogel surface can efficiently generate an interfacial liquid layer due to the inward ice growth and presence of ionic liquid. Such non-frozen interfacial liquid layer is desired for lowering ice adhesion and preventing ice/frost formation. Consequently, the ionogel surface exhibits unprecedented anti-frost abilities under humid environment (-20 ºC, 60% RH). This is the first surface that can inhibit both ice nucleation and growth!

 

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How to enhance the thermal boundary conductance of metal-polymer system

2020-03-31

How to enhance the thermal boundary conductance of metal-polymer system

New article by PhD candidate Susanne Sandell

Enhancement of Thermal Boundary Conductance of Metal–Polymer System

Nanomaterials, 2020, 10, 670

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Phase transition lubricant for oil/water separation

2020-01-22

Phase transition lubricant for oil/water separation

New article by PhD candidate Feng Wang

Enabling phase transition of infused lubricant in porous structure for exceptional oil/water separation

Journal of Hazardous Materials, 2020, 290, 122176

 

Illustration


New Paper published at "Applied Materials Today"

2020-01-10

New Paper published at "Applied Materials Today"

NML developed an ultrafast self-healing, highly transparent mechanically durable icephobic coating.

Ultrafast self-healing and highly transparent coating with mechanically durable icephobicity

Applied Materials Today, 2020, 19, 100542

News: No ice, ice, baby!


Members

photo
Kjell Magne Mathisen
Professor, Administrative leader
Kjell.mathisen@ntnu.no

photo employee

Zhiliang Zhang

Professor 

Fracture Mechanics and Nanomechanics

Zhiliang.zhang@ntnu.no

 

 

Employee photo

Jianying He 

Professor 

Nanomechanics

jianying.he@ntnu.no

 

photo employee

Helge Kristiansen 

Adjunct Professor 

Nanomechanics

helge@conpart.no

 

photo employee

Jim Stian Olsen
Adjunct Associate professor
Fracture Mechanics

Jim.Stian.Olsen@akercarboncapture.com

 

photo employee

Senbo Xiao
Researcher
Atomistic modeling
senbo.xiao@ntnu.no
 

photo employee

Yizhi Zhuo
Postdoc
Nanomechanics
yizhi.zhuo@ntnu.no

 

photo employee
Feng Wang
Postdoc
Nanomechanics
fengw@ntnu.no 

 

 photo employee
Li Sun
Researcher
Fracture mechanics
li.sun@ntnu.no
 
photo employeevvvv
Susanne Sandell
Researcher
Nanomechanics
susanne.sandell@ntnu.no

 

photo employee

Øyvind Othar Aunet Persvik

PhD student

Fracture and Fatigue-Measurement Method

oyvind.persvik@ntnu.no

 

photo employee
Bjørn Strøm
PhD student
Nanomechanics
Bjorn.a.strom@ntnu.no
 
photo employee
Merete Falck
PhD student
Nanomechanics
merete.falck@ntnu.no
 
photo employee
Ingrid Snustad
PhD student
Nanomechanics
ingrid.snustad@ntnu.no
 
photo employee
Yuequn Fu
PhD student
Nanomechanics
yuequn.fu@ntnu.no
 
photo employee
Sandra Sæther
PhD student
Nanomechanics
sandra.sather@ntnu.no
 
photo employee
Siqi Liu
PhD student
Nanomechanics
siqi.liu@ntnu.no

photo employee
Thorstein Wang
PhD student
Nanomechanics
thorstein.wang@ntnu.no
 
photo employee
Meichao Lin
PhD student
Hydrogen Embrittlement
meichao.lin@ntnu.no 

photo employee
Yu Ding
PhD student
Hydrogen Embrittlement
yu.ding@ntnu.no
 

photo employee

Yuanhao Chang
PhD student
Nanomechanics

yuanhao.chang@ntnu.no

Employee Photo
Rui Ma
PhD student
Nanomechanics
rui.ma@ntnu.no
 
Paul Rübsamen-von Döhren
PhD student
Ice mechanics
paul.j.r.von.dohren@ntnu.no
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