Results 41 to 50 of about 2,621,264 (266)

Identification of Local Lubrication Regimes on Textured Surfaces by 3D Roughness Curvature Radius [PDF]

, 2014
This paper proposes a new method of 3D roughness peaks curvature radius calculation and its application to tribological contact analysis as a characteristic signature of tribological contact.
Bigerelle, M., Bigerelle, M, Dubar, L., L. Dubar, Kubiak, KJ, C. Hubert, Hubert, C., M. Bigerelle, K. J. Kubiak, Bigerelle, Maxence, Hubert, Cedric, Dubar, Laurent, Kubiak, Krzysztof, Dubar, L, Kubiak, K. J., Hubert, C   +15 more
core   +1 more source

An empirical method for calculating the roughness coefficient of structural plane with line-plane combination

Shuiwen dizhi gongcheng dizhi, 2023
The shear mechanical properties of structural plane are mainly determined by the surface roughness, and the roughness coefficient is the main method to characterize the roughness.
Xiang FAN, Honglei AN, Han BAO, Xianda REN, Zhiying DENG, Rui WU   +5 more
doaj   +1 more source

Morphological classification method and data-driven estimation of the joint roughness coefficient by consideration of two-order asperity

Reviews on Advanced Materials Science, 2023
The roughness of the joint surface plays a significant role in evaluating the shear strength of rock. The waviness (first-order) and unevenness (second-order) of natural joints have different effects on the characterization of joint surface roughness. To
Hu Yunpeng, Feng Wenkai, Li Wenbin, Yi Xiaoyu, Liu Kan, Ye Longzhen, Zhao Jiachen, Lu Xianjing, Zhang Ruichao   +8 more
doaj   +1 more source

Multi-scale analysis of the roughness effect on lubricated rough contact [PDF]

, 2014
Determining friction is as equally essential as determining the film thickness in the lubricated contact, and is an important research subject. Indeed, reduction of friction in the automotive industry is important for both the minimization of fuel ...
DEMIRCI, Ibrahim
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Quantifying the morphology of rock joints and updating the JRC–JCS criterion considering the asperity distribution

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Roughness ubiquitously prevails in rock joints and controls the shear behaviours, permeability and damage characteristics of rock joints. A plethora of investigations have focused on the description of joint roughness; however, a detailed method for ...
Feili Wang, Fanzhen Meng, Shuhong Wang, Zhanguo Xiu   +3 more
doaj   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Experimental study of uniaxial compressive mechanical properties of rough jointed rock masses based on 3D printing

Applied Rheology, 2023
Roughness and inclination are important factors affecting the strength and deformation properties of jointed rock masses. Serrated joint specimens with varying joint roughness coefficient (JRC) and inclination angle were manufactured by 3D printing ...
Yuan Pu, Li Aobo, Chen Changning, Lu Xuefeng   +3 more
doaj   +1 more source

Superlubricity and Corrosion Inhibition Properties of Solvate Ionic Liquids in Hybrid Carbon Fiber Reinforced Plastic–Steel Interfaces

Advanced Engineering Materials, EarlyView.
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees, Timothy Harte, Bhagya Dharmasiri, Y. Athulya Wickramasingha, David J. Hayne, Daniel J. Eyckens, Luke C. Henderson   +6 more
wiley   +1 more source