Results 91 to 100 of about 4,650,132 (303)

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

open access: yesAdvanced 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   +10 more
wiley   +1 more source

Evaluation of protein surface roughness index using its heat denatured aggregates [PDF]

open access: yes, 2009
Recent research works on potential of different protein surface describing parameters to predict protein surface properties gained significance for its possible implication in extracting clues on protein's functional site. In this direction, Surface
Tapobrata Lahiri, Hrishikesh Mishra
core  

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

open access: yesAdvanced 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   +19 more
wiley   +1 more source

Analysis and prediction on internal surface roughness of 316L stainless steel holes prepared by selective laser melting

open access: yesFenmo yejin jishu
The relationship between the hole radius and printing angle of the selected laser melting 316L stainless steels and the surface roughness was studied. A theoretical model of the formed structure and surface roughness was established.
LIU Zhijiang   +4 more
doaj   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Roughness Estimation and Image Rendering for Glossy Object Surface

open access: yesJournal of Imaging
We study the relationship between the physical surface roughness of the glossy surfaces of dielectric objects and the roughness parameter in image rendering.
Shoji Tominaga   +2 more
doaj   +1 more source

Evaluation of Enamel Surface after Removal of Adhesive Resin: An in Vitro Study

open access: yesOrthodontic Journal of Nepal, 2018
Introduction: Preservation of the enamel surface during the removal of orthodontic appliance is an essential aspect for clinicians. However, various therapeutic measures can affect the enamel surface.
Geeta Pyakurel   +2 more
doaj   +1 more source

Distinct Microstructural Characteristic Lengths Defining Notch Fatigue Crack Initiation and Propagation, and Defect Tolerance in Advanced Steels

open access: yesAdvanced Engineering Materials, EarlyView.
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley   +1 more source

Integration of OpenCV‐Based Microscopic Adhesive Volume Measurement Into a Pyiron Workflow for Automated Data Analysis

open access: yesAdvanced Engineering Materials, EarlyView.
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley   +1 more source

A Study on factor affecting surface roughness in turning process of AISI 316L stainless steel by Shainin design of experiment method

open access: yesKKU Engineering Journal, 2015
Surface roughness on machined part is a key performance index of surface quality for metal machining industry. Selecting an appropriate machining condition is a way to reduce surface roughness.
Primprapa Junlabuddee   +1 more
doaj   +1 more source

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