4.7 Article

The heat resistance of a polyurethane coating filled with modified nano-CaCO3

Journal

APPLIED SURFACE SCIENCE
Volume 315, Issue -, Pages 241-246

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.apsusc.2014.07.022

Keywords

PU coating; CaCO3 nanoparticles; Silane coupling agent; Heat resistance

Ask authors/readers for more resources

The modification of polyurethane coating by adding surface-modified CaCO3 nanoparticles ( nano-Ca CO3) was investigated in this paper. To improve interfacial interaction between the nano-CaCO3 and the polyurethane (PU) matrix, a silane coupling agent (KH560) was used to modify the nano-CaCO3. The grafting of KH560 on the nano-CaCO3 surfaces was characterized by the TEM, FTIR and TGA techniques. The modification of the nano-CaCO3 surfaces with KH560 was demonstrated to improve the dispersity of nano-CaCO3. FTIR, SEM and AFM were used to characterize the polyurethane coating. The FTIR spectrum indicated that the modification of nano-CaCO3 does not influence the chemical structure of the PU matrix. The roughness and gloss of the nanocomposite coatings containing various amount of nano-CaCO3 were evaluated using a roughness tester and a brightness meter. The heat resistance of the polyurethane coating containing various amounts of nano-CaCO3 was evaluated using the TGA technique. The results revealed that nano-CaCO3 treatment with KH560 improves the nanoparticle dispersion and heat-resistance of polyurethane coating. (C) 2014 Elsevier By. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Engineering, Mechanical

Review of research on loosening of threaded fasteners

Hao Gong, Xiaoyu Ding, Jianhua Liu, Huihua Feng

Summary: This review article focuses on the loosening of threaded fasteners as a key failure mode, dividing it into non-rotational and rotational loosening parts, summarizing the causes and mechanisms of various types of loosening in order to help new researchers and engineers better understand the current research status on loosening of threaded fasteners.

FRICTION (2022)

Article Computer Science, Artificial Intelligence

ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning

Hao Gong, Jianhua Liu, Bo Chen, Shuo Li

Summary: The paper introduces a novel network framework ResAttenGAN for simultaneous and accurate segmentation of multiple spinal structures, outperforming existing segmentation methods. This is achieved through three integrated modules: full feature fusion, residual refinement attention, and adversarial learning. ResAttenGAN addresses the challenges of diverse spinal structures and overfitting problems, resulting in improved performance in segmentation tasks.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2022)

Article Computer Science, Artificial Intelligence

A novel vision-based method for loosening detection of marked T-junction pipe fittings integrating GAN-based segmentation and SVM-based classification algorithms

Xinjian Deng, Jianhua Liu, Hao Gong, Jiayu Huang

Summary: This paper proposes a vision-based method for loosening detection of three threaded joints in a T-junction pipe fitting. The method utilizes generative adversarial network for accurate segmentation, skeleton algorithm for key feature extraction, and support vector machine for classification. Experimental results demonstrate high accuracy and strong loosening detection ability of the proposed method.

JOURNAL OF INTELLIGENT MANUFACTURING (2023)

Article Robotics

Dynamic Modeling and Control of Deformable Linear Objects for Single-Arm and Dual-Arm Robot Manipulations

Naijing Lv, Jianhua Liu, Yunyi Jia

Summary: This article investigates the robotic manipulation control of deformable linear objects (DLOs), including the establishment of a dynamic model and the proposal of precise control schemes. Experimental and simulation results validate the effectiveness of the proposed modeling and control approaches.

IEEE TRANSACTIONS ON ROBOTICS (2022)

Article Engineering, Mechanical

Concept of radial slippage propagation triggering self-loosening and optimisation design of novel anti-loosening structures

Hao Gong, Jianhua Liu, Huihua Feng, Jiayu Huang

Summary: This paper investigates the self-loosening mechanism of bolted joints and proposes the concept of radial slippage propagation. The results show that the propagation of slippage areas can lead to self-loosening. By developing a novel thread structure, the slippage propagation can be effectively blocked to improve the performance of bolted joints.

FRICTION (2023)

Article Automation & Control Systems

Gain scheduling control of ball screw feed drives based on linear parameter varying model

Lei Zhang, Jianhua Liu, Cunbo Zhuang, Mengqi Yao, Fuhua Chen, Chenyang Zhang

Summary: This study proposes a LPV model based GS control method for ball screw feed drives (BSFD) to improve the consistency of tracking and positioning accuracy throughout the entire feed stroke.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2023)

Article Engineering, Multidisciplinary

Modeling and numerical study of particle-bubble-liquid flows using a front-tracking and discrete-element method

Huanxiong Xia, Zhenyu Zhang, Jianhua Liu, Xiaohui Ao, Shengxiang Lin, Ye Yang

Summary: This study developed a dynamic model to simulate the transport behavior of particle-bubble-liquid flows and numerically analyzed the collision, attachment, and flow behaviors. The results showed that the collision probability and contact time between particles and bubbles increased with the increase in the size ratio of particle to bubble. Hydrophilic particles promoted the bubble rising speed, and attachment behavior hindered the bubble rising but enhanced particle transport intensity.

APPLIED MATHEMATICAL MODELLING (2023)

Article Mechanics

A unified trans-scale mechanical properties prediction method of 3D composites with void defects

Hao Huang, Zhongde Shan, Jianhua Liu, Zheng Sun, Zitong Guo, Hao Gong, Huanxiong Xia, Peng Jin, Chaozhong Chen

Summary: A unified trans-scale method is developed to predict the mechanical properties of 3D composites with void defects by integrating experiments, analytical model, and finite element model. The proposed method is verified through trans-scale experiments and shows high agreement with the finite element model. The results indicate that void defects have different effects on the elastic modulus depending on the fiber tows or 3D orthogonal structures.

COMPOSITE STRUCTURES (2023)

Article Automation & Control Systems

A data-driven smart management and control framework for a digital twin shop floor with multi-variety multi-batch production

Jiapeng Zhang, Jianhua Liu, Cunbo Zhuang, Haoxin Guo, Hailong Ma

Summary: To address the challenges of uncertainty, dynamics, and complexity in a discrete manufacturing shop floor, a data-driven smart management and control framework called digital twin shop floor (DTS) is proposed. It focuses on five key tasks, including the construction of a shop floor digital twin model, data acquisition and management, real-time data-driven modeling, online prediction, and multi-agent-based operation decision. Additionally, a DT-based smart management and control system named DT-VPPC is developed for complex products on the assembly shop floor, and its effectiveness is demonstrated through a specific application example.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2023)

Article Engineering, Mechanical

A novel active sensing method for loosening detection of globe-cone joint considering assembly uncertainties

Jiayu Huang, Jianhua Liu, Hao Gong, Xinjian Deng

Summary: This study proposes a novel active sensing method that is insensitive to assembly uncertainties for effective loosening detection of globe-cone joints. By using the concepts of multiscale effort to compress (METC) and generalized discriminant analysis (GDA), effective loosening features are constructed and their dimensions are reduced. An ensemble learning model is built to accurately recognize different loosening states. Experimental results demonstrate a detection accuracy as high as 0.9429 using the proposed method, and the advantages of multiscale METC and GDA for feature extraction and reduction are validated through comparisons with other methods.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)

Article Instruments & Instrumentation

Invention of smart tightening tool for directly controlling the preload of bolted joints

Zhongwei Zhang, Jianhua Liu, Hao Gong, Jiayu Huang, Chenfei Du, Kai Liu, Linlin Cao

Summary: This study invented a novel tightening tool that can directly control preload with high accuracy during the process of tightening bolts. The tool consists of an ameliorative intelligent wrench and signal processing system, which have two characteristics or innovations. In the signal processing system, a waveform tracking strategy based on phase-locked loop is proposed to improve the robustness of the calculation of echo time. Three types of bolts with different sizes were tested, and the average preload error was approximately 2%, validating the accuracy and effectiveness of the tightening tool.

SMART MATERIALS AND STRUCTURES (2023)

Article Automation & Control Systems

A Human-Robot Collaboration Method Using a Pose Estimation Network for Robot Learning of Assembly Manipulation Trajectories From Demonstration Videos

Xinjian Deng, Jianhua Liu, Honghui Gong, Hao Gong, Jiayu Huang

Summary: This article proposes a method that integrates deep learning, image processing, and an iteration model to predict the real assembly manipulation trajectory of a human hand from a video without specific depth information, which greatly improves the efficiency of teaching robots to perform assembly manipulation trajectories.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2023)

Article Engineering, Mechanical

Multimodal loosening detection for threaded fasteners based on multiscale cross fuzzy entropy

Jiayu Huang, Jianhua Liu, Hao Gong, Xinjian Deng

Summary: This study is the first attempt to conduct multimodal loosening detection exploiting ultrasonic and audio response signals simultaneously. A novel loosening detection method, utilizing the complementarity of multimodal signals, is proposed and proved to have excellent detection performances in the applications of two different types of threaded fasteners. The proposed method outperforms other loosening detection methods and MCFE shows great advantages in extracting representative loosening features.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)

Article Computer Science, Interdisciplinary Applications

Robust optimization design for sealing performance of globe-cone joint considering manufacturing and assembly uncertainties

Kai Wang, Jianhua Liu, Hao Gong, Xinjian Deng

Summary: This study proposes a novel method for the robust optimization design of key structural sizes in globe-cone joint considering manufacturing and assembly uncertainties. First, an accurate three-dimensional finite element model of globe-cone joint is built, including size error and surface micro-topography. Second, the second-order polynomial response surface model is built for establishing the relationship between uncertain parameters, optimized structural parameters, and sealing performance. Third, the combination of the interval possibility method, penalty function method and improved particle swarm optimization algorithm are proposed to optimize the structural parameters for improving the robustness of sealing performance.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2023)

Article Engineering, Multidisciplinary

CDMTNet: a novel transfer learning model for the loosening detection of mechanical structures with threaded fasteners

Jiayu Huang, Jianhua Liu, Honghui Gong, Hao Gong, Xinjian Deng

Summary: This paper presents a generalized detection model based on transfer learning and a small amount of labeled data for accurate loosening detection in different threaded connection structures.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2023)

Article Chemistry, Physical

Multifunctional continuous solid solution Na0.9Mg0.45Ti3.55O8-Na2Fe2Ti6O16: Preparation, characterization, magnetism, dual absorption, adsorption, and photocatalysis

Qi-Wen Chen, Ze-Qing Guo, Jian-Ping Zhou

Summary: Multifunctional continuous solid solutions NFMTO-x were successfully synthesized via a one-step hydrothermal method by controlling the ratio of Mg and Fe. The NFMTO-x materials exhibited enhanced visible light response, effective adsorption and photocatalytic degradation of organic pollutants, CO2 methanation capability, and easy recyclability due to their magnetic properties. This research provides a significant multifunctional material for water purification.

APPLIED SURFACE SCIENCE (2024)

Review Chemistry, Physical

Critical advances in the field of magnetron sputtered bioactive glass thin-films: An analytical review

George E. Stan, Maziar Montazerian, Adam Shearer, Bryan W. Stuart, Francesco Baino, John C. Mauro, Jose M. F. Ferreira

Summary: Bioactive glasses have the ability to form strong bonds with tissues and release therapeutic ions. However, their biomechanical compatibility limits their use in load-bearing applications. The use of magnetron sputtering technology to fabricate BG coatings shows promise in improving their efficacy and potential for application.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Corrosion mode evaluation of Fe-based glassy alloys with metalloid elements by electrochemical noise (EN)

Zhaoxuan Wang, Zhicheng Yan, Zhigang Qi, Yu Feng, Qi Chen, Ziqi Song, Meng Huang, Peng Jia, Ki Buem Kim, Weimin Wang

Summary: The corrosion behavior of Fe-60 and Fe-83 ribbons in 0.6 M NaCl was studied. Fe-60 exhibited a local corrosion mode and formed a stable passivation film with higher corrosion resistance, while Fe-83 showed a combination of local and global corrosion modes and had lower corrosion resistance. Controlling the precipitation of nanocrystalline phases and increasing the POx content in the passivation film significantly improved the corrosion resistance of Fe-based glassy alloys.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Impacts of Zr content of HfZrOx-Based FeFET memory on resilience towards proton radiation

Hao-Kai Peng, Sheng-Yen Zheng, Wei-Ning Kao, Ting-Chieh Lai, Kai-Sheun Lee, Yung- Hsien Wu

Summary: This study investigates the effects of high energy/fluence proton radiation on the performance of HfZrOx-based FeFETs memory with different Zr content. The results show that the characteristics of FeFETs are influenced by proton radiation, and the extent of the influence depends on the Zr content. FeFETs with 50% Zr content exhibit minimal changes in memory window and demonstrate good endurance and retention performance.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Excellent crystalline silicon surface passivation by transparent conductive Al-doped ZnO/ITO stack

Zongyi Yue, Guangyi Wang, Zengguang Huang, Sihua Zhong

Summary: In this study, AZO and ITO films were successfully tuned as excellent passivation layers for c-Si surfaces, achieving effective minority carrier lifetime and outstanding optical properties through the optimization of annealing temperature and interfacial silicon oxide.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Hydrogen sensing capabilities of highly nanoporous black gold films

Martin Hruska, Jan Kejzlar, Jaroslav Otta, Premysl Fitl, Michal Novotny, Jakub Cizek, Oksana Melikhova, Matej Micusik, Peter Machata, Martin Vrnata

Summary: This paper presents a detailed study on the hydrogen sensing capabilities of highly nanoporous black gold films. The films exhibit fast response and recovery times at low temperatures. Different levels of nanoporosity were prepared and tested to investigate the sensing properties, and it was found that nanoporous black gold is suitable for hydrogen sensing. The sensitivity of the film depends on its nanoporosity.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Abnormal stability of hydrogenic defects and magnetism near the HSrCoO2.5(001) surface

Yupu Wang, Gaofeng Teng, Chun To Yiu, Junyi Zhu

Summary: In the study of BM-SCO and HSCO thin films, it was found that H vacancies tend to prefer sites near the external surface or oxygen vacancy channels (OVCs), while H interstitials prefer sites of oxygen on a layer that contains six-fold coordinated Co. These findings not only enrich the understanding of complex surface phenomena of defect formation but also provide an explanation for the reversibility during phase transformation.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Space variant fiber nanogratings induced by femtosecond laser direct writing

Jiafeng Lu, Linping Teng, Qinxiao Zhai, Chunhua Wang, Matthieu Lancry, Ye Dai, Xianglong Zeng

Summary: In this study, we achieved full control of fiber nanograting orientation by manipulating laser polarization, and tailored space variant fiber nanogratings, which expanded the diversity in fiber nanograting engineering.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Wetting mechanisms in the mass transfer process of CuSi3 droplets on the TC4 and 304SS multi-metal system controlled by the hybrid shielding gas atmosphere

Yibo Liu, Yujie Tao, Yue Liu, Qi Sun, Qinrong Lin, Kexin Kang, Qinghua Zhang, Qingjie Sun

Summary: This study investigates the wettability of the Ti-Cu-Fe multi-metal system, specifically the wetting behaviors of CuSi3 droplets on TC4 and 304SS plates. The results show that the CO2 + Ar gas atmosphere significantly affects interfacial mass transfer, thus influencing the wettability of the systems.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Size-regulated Co-doped hetero-interfaced 3D honeycomb MXene as high performance electromagnetic absorber with anti-corrosion performance

Jimei Liu, Fei Wang, Rong Guo, Yuqi Liu, Mengyu Zhang, Jaka Sunarso, Dong Liu

Summary: This study developed Co/MXene composites with anti-corrosion properties by varying the cobalt content. These composites exhibited remarkable electromagnetic absorption performance and high resistance to corrosion under various corrosive conditions. The study also revealed the mechanism of electron transfer from cobalt to MXene and the electromagnetic dissipation behavior originated from polarization loss alone.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Ultrafine Ru nanoparticles on nitrogen-doped CNT arrays for HER: A CVD-based protocol achieving microstructure design and strong catalyst-support interaction

Moujie Huang, Yongsong Ma, Jingbo Yang, Lingyun Xu, Hangqi Yang, Miao Wang, Xin Ma, Xin Xia, Junhao Yang, Deli Wang, Chuang Peng

Summary: Strong metal-support interactions (SMSIs) are important for enhancing catalytic activities and stability in thermal catalysis. This study demonstrates a method to create SMSIs in electrocatalysis using carbon nanotubes and Ru nanoparticles, resulting in excellent catalytic activity and stability.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Novel biphenylene as cisplatin anticancer drug delivery carrier; insight from theoretical perspective

Ravi Trivedi, Brinti Mondal, Nandini Garg, Brahmananda Chakraborty

Summary: This study explores the potential of biphenylene as a nanocarrier for the delivery of the anticancer drug cisplatin. It is found that biphenylene offers physical stability, rapid release rate, solubility, and bio-compatibilities compared to other nanocarriers. The adsorption of cisplatin on the surface of biphenylene involves charge transfer from cisplatin to biphenylene. The drug is shown to be released at body temperature in an acidic environment. Biphenylene also exhibits excellent cytotoxicity activity and cellular uptake of the drug. Overall, biphenylene shows promise as a potential nanocarrier for cisplatin delivery.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Platform for surface-enhanced Raman scattering in layered quantum materials

Hyun Jeong, Hyeong Chan Suh, Ga Hyun Cho, Rafael Salas-Montiel, Hayoung Ko, Ki Kang Kim, Mun Seok Jeong

Summary: In this study, a potential platform to enhance Raman scattering and increase the number of observable Raman modes in monolayer transition metal dichalcogenides (TMDs) was proposed. The platform consisted of large-scale arrays of gold micropillars (MPs), which were able to enhance the Raman intensity of TMDs and make difficult-to-detect Raman modes observable. The platform showed great industrial advantages and wide applicability due to its low cost, simple process, large controllable area, and short process time.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Cyclotriphosphazene (P3N3) derived FeOx@SPNO-C core-shell nanospheres as peroxymonosulfate activator for degradation via non-radical pathway

Yasir Abbas, Shafqat Ali, Sajjad Ali, Waqar Azeem, Zareen Zuhra, Haoliang Wang, Mohamed Bououdina, Zhenzhong Sun

Summary: In this study, FeOx@SPNO-C core-shell nanospheres as a catalyst for degradation of sulfamethoxazole (SMX) were successfully synthesized. The synergistic interaction between FeOx and SPNO-C, high carbon charge density, and the presence of C = O groups and N/Fe-Nx sites were found to be key factors for the enhanced degradation of SMX.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Hierarchical confinement of Prussian blue nanoparticles via NH2-MIL-88B (Fe): Rational design and electrocatalytic application

Qiaoting Yang, Yuxiao Gong, Yan Qian, Zhou-Qing Xiao, Serge Cosnier, Xue-Ji Zhang, Robert S. Marks, Dan Shan

Summary: This study proposes a hierarchical confinement strategy to design Prussian blue nanoparticles (PB NPs) with satisfactory electrocatalytic ability and stability. The catalytic synthesis of PB NPs is achieved through a hydrothermal process, and the as-prepared PB@NH2MIL exhibits efficient electronic transmission and enhanced electrocatalytic properties.

APPLIED SURFACE SCIENCE (2024)