Suchergebnisse - "SURFACE roughness"

On the reproducibility of free energy surfaces in machine-learned collective variable spaces.

Autoren: Dietrich, Florian M. Salvalaglio, Matteo

Quelle: Journal of Chemical Physics. 10/14/2025, Vol. 163 Issue 14, p1-7. 7p.

Schlagwörter: *FREE energy (Thermodynamics), *SURFACE roughness, *GAUGE invariance, *MOLECULAR dynamics, *ELECTROMAGNETIC fields

Adhesion at fractal interfaces: A theoretical framework for multiscale contact.

Autoren: Lee, Iljong Komvopoulos, Kyriakos

Quelle: Journal of Applied Physics. 9/14/2025, Vol. 138 Issue 10, p1-10. 10p.

Schlagwörter: *MICROELECTROMECHANICAL systems, *SURFACE roughness, *DEFORMATIONS (Mechanics), *SURFACE topography, *VAN der Waals forces

Towards AI driven surface roughness evaluation in manufacturing: a prospective study.

Autoren: Ghosh, Sourish Knoblauch, Ricardo El Mansori, Mohamed et al.

Quelle: Journal of Intelligent Manufacturing. Oct2025, Vol. 36 Issue 7, p4519-4548. 30p.

Schlagwörter: *MANUFACTURING industries, *INDUSTRY 4.0, *DATA analysis, *ARTIFICIAL intelligence, SURFACE roughness, MACHINE learning, DEEP learning, SURFACE roughness measurement

Analysis of the features of wheel out-of-roundness and construction of the wheel roughness spectrum of high-speed trains.

Autoren: Tao, Gongquan Xie, Chenxi Wang, Peng et al.

Quelle: International Journal of Rail Transportation. Oct2025, Vol. 13 Issue 5, p891-907. 17p.

Schlagwörter: HIGH speed trains, SURFACE roughness, AUTOMOBILE dynamics, DYNAMICAL systems

Geografische Kategorien: CHINA

Comparative Analysis of Prediction Models for Surface Roughness of Abrasive Water Jet Machined Aluminum In Situ Composites.

Autoren: Kavya, J. T. Keshavamurthy, R. Ravishankar, M. K.

Quelle: Journal of Advanced Manufacturing Systems. Dec2025, Vol. 24 Issue 4, p985-1010. 26p.

Schlagwörter: *ANALYSIS of variance, SURFACE roughness, PREDICTION models, METALLIC composites, TAGUCHI methods, RAPID tooling, K-nearest neighbor classification, WATER jet cutting

Taguchi Analysis of Process Parameters for Improved Surface Roughness and Dimensional Accuracy in SLA-Printed Boron Nitride Polymer Composites.

Autoren: Swathi, M. B. Girish, D. P. Dinesh, M. H. et al.

Quelle: Journal of Advanced Manufacturing Systems. Dec2025, Vol. 24 Issue 4, p1011-1033. 23p.

Schlagwörter: BORON nitride, SURFACE roughness, POLYMERIC composites, MICROSTRUCTURE, TAGUCHI methods, STEREOLITHOGRAPHY

Deep ball burnishing of Al 2024-T4: insights into surface roughness, microhardness, topography, and chemical alteration.

Autoren: Rasti, Amir Kazemi, Javad Mohammadi, Shamim et al.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 16, p2203-2217. 15p.

Schlagwörter: *FINITE element method, SURFACE roughness, MICROHARDNESS, SURFACE topography, ALUMINUM alloys, CHEMICAL processes, FINISHES & finishing

Experimental study of surface roughness in ultrasonic polishing of glass microfluidic channels using cerium oxide abrasive.

Autoren: Liu, Hao He, Yujia Zou, Yunhe et al.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 16, p2240-2247. 8p.

Schlagwörter: SURFACE roughness, MICROFLUIDICS, CERIUM oxides, SURFACE finishing, FLUID flow, SCIENTIFIC observation, FINISHES & finishing

EDM machining characteristics of additive-manufactured and conventional copper tools: A comparative study.

Autoren: Murali, D. Thangapandian, N. Singh, S. Prathap et al.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 16, p2218-2230. 13p.

Schlagwörter: *PROCESS optimization, *RAPID prototyping, *MACHINE tool manufacturing, SURFACE roughness, COPPER electrodes, EXPERIMENTAL design, INCONEL, ELECTRIC metal-cutting

Enhanced quality prediction in laser powder bed fusion through data fusion-enabled regression analysis of spatter-related defects

Autoren: Zhirnov, Ivan Krakhmalev, Pavel, Professor

Quelle: Journal of Manufacturing Processes. 152:293-307

Schlagwörter: Data fusion, Defects, Density of gases, Forecasting, Gases, Process control, Shielding, Support vector regression, Surface roughness, Fusion defects, Gas velocity, Integrating information, Laser powder bed fusion, Laser powders, Powder bed, Quality prediction, Shielding gas, Spattering, Top surface, Quality assurance, Materialteknik, Materials Engineering, Maskinteknik, Mechanical Engineering

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106651
https://doi.org/10.1016/j.jmapro.2025.08.013

Leveraging classifier-guidance diffusion model for improved surface roughness prediction through synthesized audible sound signal

Autoren: Zhu, Yaoxuan Rashid, Amir Österlind, Tomas et al.

Quelle: Procedia CIRP. 134:789-794

Schlagwörter: Guided diffusion model, Audible sound signal, Data augmentation, Surface roughness prediction, Deep transfer learning, Machining, Production Engineering, Industriell produktion

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368478
https://kth.diva-portal.org/smash/get/diva2:1989412/FULLTEXT01.pdf

Enhanced Mass Transport of One-Dimensional Zeolite MTT by Secondary Growth

Autoren: Shilpa, Kumari Choudhury, Sambita Dai, Heng et al.

Quelle: JACS Au. 5(8):4011-4021

Schlagwörter: catalysis, defect engineering, surface roughness, zeolite

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-246688
https://doi.org/10.1021/jacsau.5c00645

Exploring Surface Roughness Effects on Spray Performance in Metal Additive Manufactured Fuel Injectors for Gas Turbine Applications

Autoren: Tuneskog, Erika Nogenmyr, Karl Johan Moëll, Daniel et al.

Quelle: Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy. 72:1233-1239

Schlagwörter: Metal Binder Jetting, Fuel Injectors, Gas Turbine, Surface Roughness, Powder Bed Fusion-Laser Beam

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/545813
https://research.chalmers.se/publication/543683
https://doi.org/10.2497/jjspm.16C-T11-09

SubTHz Fully-Metallic Geodesic Luneburg Lens Antenna

Autoren: Castillo Tapia, Pilar Yang, Shiyi Palomares-Caballero, Angel et al.

Quelle: IEEE Transactions on Terahertz Science and Technology. 15(3):514-518

Schlagwörter: Lenses, Antennas, Electromagnetic waveguides, Periodic structures, Antenna measurements, Metamaterials, Antenna feeds, Frequency measurement, Surface waves, Surface roughness, Electromagnetic bandgap (EBG) structure, fully metallic antenna, geodesic lens, Luneburg lens, subterahertz (subTHz)

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-365267
https://doi.org/10.1109/TTHZ.2025.3548452

Surface roughness reduction in electron beam powder bed fusion additive manufacturing of super duplex stainless steel 2507: investigating optimisation techniques and face orientation-dependent irregularities

Autoren: Roos, Stefan Rännar, Lars-Erik

Quelle: Progress in Additive Manufacturing. 10(4):2487-2503

Schlagwörter: Additive manufacturing, Electron beam, Powder bed fusion, Spot melting, Surface roughness

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-52347
https://doi.org/10.1007/s40964-024-00763-1

Effects of electrolytes on electrochemical behaviour and performance of Ti6Al4V alloy prepared by laser directed energy deposition

Autoren: Yu, Jun Wang, Linzeng Kang, Guoqiang et al.

Quelle: Journal of Materials Research and Technology. 35:1913-1925

Schlagwörter: Electrochemical machining, Ti6Al4V alloy, Passivation film, Electrolyte effects, Surface roughness, Transpassive dissolution, Produktionsutveckling, Manufacturing Systems Engineering

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-111582
https://doi.org/10.1016/j.jmrt.2025.01.122

Modelling of Surface Roughness and Delamination in Drilling PB Panels with Coated Carbide Spade Drills -RSM Approach

Autoren: Subramaniam, Prakash Kumar Ramamoorthy, Sunil

Quelle: Journal of Materials Science Research and Reviews. 8:64-77

Schlagwörter: ANNOVA, Drilling, Delamination, Meta model, PB panel, Spade drill, Surface roughness, Resource Recovery, Resursåtervinning

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-33218
https://doi.org/10.9734/jmsrr/2025/v8i1380

Effects of oil mist parameter in minimum quantity lubrication (MQL) milling process.

Autoren: Rosli, Nurrina Ruzaima, Muhammad Shahirul Farihan

Quelle: AIP Conference Proceedings. 2025, Vol. 3384 Issue 1, p1-5. 5p.

Schlagwörter: *SURFACE roughness, *ALUMINUM alloys, *MILLING machinery, *LUBRICATION systems, *CUTTING fluids, *FLOW velocity

An experimental study on the effects of process variables on abrasive flow machining material removal and surface roughness enhancement.

Autoren: Rao, Peram Kondala Janardhana, Ginka Ranga Juvvadi, Pradeep Kumar et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3361 Issue 1, p1-8. 8p.

Schlagwörter: *ABRASIVE machining, *SURFACE roughness, *INDUSTRIAL applications, *EXTRUSION process, *ABLATION (Industry), *FINISHES & finishing

Study of CNC turner process parameters of 45C8 alloy based on surface roughness.

Autoren: Gupta, Arghya Ghosh, Hitesh Kumar, Kaushik et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3361 Issue 1, p1-7. 7p.

Schlagwörter: *SURFACE roughness, *MACHINING, *TAGUCHI methods, *STEEL alloys, *ANALYSIS of variance