Adhesion forces between a parabolic-shaped AFM tip scanning a grooved gold surface: Comparison of a model and an experiment

Lai, Tianmao; Meng, Yonggang; Huang, Ping

doi:10.1016/j.ijadhadh.2018.09.002

Cited by 6 publications

(8 citation statements)

References 37 publications

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“…This higher measurement is attributed to higher surface roughness, as shown in Figure A, due to the deposition process . It has been found that the adhesion force for a sputter-deposited gold film is 7.44 nN . For evaporated gold films, the adhesion force depends on the thickness of the gold film: 91.25 nN (500 nm of gold), 128.5 nN (300 nm of gold), and 212 nN (100 nm of gold) .…”

Section: Results and Discussionsupporting

confidence: 87%

“…28 It has been found that the adhesion force for a sputter-deposited gold film is 7.44 nN. 52 For evaporated gold films, the adhesion force depends on the thickness of the gold film: 91.25 nN (500 nm of gold), 128.5 nN (300 nm of gold), and 212 nN (100 nm of gold). 53 The force−displacement measurements are within the error of each other and consistent with previously reported values for gold and HOPG.…”

Section: Surface Roughness Measurementssupporting

confidence: 90%

“…These are compared to cited values for graphene oxide (powder), found to be 170.6 nN at 45% relative humidity, similar to the room conditions for our data. An adhesion force of 7.85 ± 3.45 nN (127.34 ± 71.67 nN for the calibrated tip) for the gold-coated glass slide , was higher than that of HOPG, both known to be nonreactive (nonoxidizing) in air. It was expected that the gold surface would have a lower adhesion force, since it is more hydrophobic compared to that of the HOPG surface.…”

Section: Results and Discussionmentioning

confidence: 99%

“…53 The force−displacement measurements are within the error of each other and consistent with previously reported values for gold and HOPG. 42,49,52 The error was the standard deviation associated with the average of the adhesion force values obtained from the samples. A presentation was given during the class to help the students connect the concept of the Lennard-Jones potential, in which attractive and repulsive forces are demonstrated in the force− displacement measurements.…”

Section: Surface Roughness Measurementsmentioning

confidence: 99%

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Investigating the Relationship between Adhesion Forces and Surface Functionalization Using Atomic Force Microscopy

Trought

Perrine

2021

J. Chem. Educ.

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Surface chemistry impacts technology, advancing the development of new heterogeneous catalysts, semiconductor devices, and materials synthesis. Carbon surfaces are ubiquitous in various fields, and the surface reactivity can be altered by surface functionalization on the molecular scale, introducing functional groups, thus shifting their macroscale properties. In this physical chemistry lab experiment, students use atomic force microscopy to investigate the surface of graphite (organic) and gold (inorganic) samples (solid phase) to compare topographical features, surface roughness, and adhesion forces of the samples. Students relate the force–displacement measurements with the Lennard-Jones potential to obtain measurable adhesion forces. Emphasis is placed on quantification of the adhesion forces between a hydrophobic highly oriented pyrolytic graphite (HOPG) surface, a hydrophilic (hydroxy) functionalized HOPG surface, and a metallic gold-coated glass slide. The surface of each sample is explored, allowing students to compare the difference between the hydrophobic and hydrophilic surfaces from surface functionalization.

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Section: Results and Discussionsupporting

confidence: 87%

Section: Surface Roughness Measurementssupporting

confidence: 90%

Section: Results and Discussionmentioning

confidence: 99%

Section: Surface Roughness Measurementsmentioning

confidence: 99%

See 2 more Smart Citations

Investigating the Relationship between Adhesion Forces and Surface Functionalization Using Atomic Force Microscopy

Trought

Perrine

2021

J. Chem. Educ.

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“…en, a load-bearing capacity prediction generated by a deterministic model implemented with a mix-mode CZM is compared to the measurement results for demonstration of the limitation of the deterministic approach. By treating the debonding area between the adherent and the adhesive as a random variable, which has been found to be a dominant factor affecting the adhesion strength by Sorrentino et al and Lai et al [3,16], an uncertainty analysis incorporated with polynomial chaos expansion is applied to quantify the variation of the loadbearing capacity prediction. Finally, the potential of the present approach in enhancing the adhesive strength prediction is discussed.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Adhesively Bonded Polyurethane‐to‐Steel Double Butt Joint Failure Using Uncertainty Analysis

Zhi

et al. 2020

Advances in Materials Science and Engineering

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Adhesively bonded joint has gained increasing popularity due to weight reduction and relief of stress concentration. However, damage in the mode of adhesive failure and cohesive failure, as well as the adherend failure, could still occur, and it has been realized that the reliability of the adhesively bonded joint depends on numerous complex and even nonlinearly interacting factors. Consequently, the prediction of load-bearing capacity and damage localization for an adhesively bonded joint can be difficult due to the not well-known effects of the variations or uncertainties in the imperfected adhesive-adherent bonding surfaces or the environmental conditions as well as the material and geometrical nonlinearities. Although abundant uncertainties are present, the standard analysis tool in industries is still deterministic finite element analysis (FEA). The routine practice of such analysis is applying a cohesive zone model (CZM) implemented with a proper traction-separation law to predict the onset and gradual degradation of adhesion which may underpredict or overpredict the load-bearing capacity of an adhesively bonded joint. In this study, deterministic FEA with a CZM is first applied to predict the load-displacement curve of an adhesively bonded polyurethane-to-steel double butt joint. A comparison of the prediction with the experiment reveals the inability of a deterministic approach for accurately predicting the load-bearing capability of the joint and the failure propagation route. Then, uncertainty analysis using polynomial chaos expansion (PCE) is applied to examine if it can enhance the prediction of the joint failure. The results show the predictions generated by the uncertainty analysis correlate better than the deterministic analysis with the test data, hence demonstrating the potential of uncertainty analysis in improving the prediction of the failure mode and load-bearing capability of an adhesively bonded polyurethane-to-steel double butt joint.

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Improving Adhesion Between Nanoparticles and Surface of Mica Substrate by Aminosilane Modification

Yin

Wang

et al. 2019

Plasmonics

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Adhesion forces between a parabolic-shaped AFM tip scanning a grooved gold surface: Comparison of a model and an experiment

Cited by 6 publications

References 37 publications

Investigating the Relationship between Adhesion Forces and Surface Functionalization Using Atomic Force Microscopy

Investigating the Relationship between Adhesion Forces and Surface Functionalization Using Atomic Force Microscopy

Prediction of Adhesively Bonded Polyurethane‐to‐Steel Double Butt Joint Failure Using Uncertainty Analysis

Improving Adhesion Between Nanoparticles and Surface of Mica Substrate by Aminosilane Modification

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