Suchergebnisse - "MACHINING"

Surveillance and prediction of machining results in honing and grinding processes using acoustic emission analysis method

Autoren: Sender, Piotr

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica

Thesis Advisors: Buj Corral, Irene

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Honing, Grinding, Abrasive Machining, Neural Network, Matlab, ANFIS, Minitab, Àrees temàtiques de la UPC::Enginyeria mecànica, 621 - Enginyeria mecànica en general. Tecnologia nuclear. Electrotècnia. Maquinària

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695087
https://dx.doi.org/10.5821/dissertation-2117-439921

Machining Performance Response of Inconel 718 Under High-Moderate-Low Cutting Speeds.

Autoren: Zhang, Baoguo Liu, Longxiang Ni, Chenbing et al.

Quelle: Journal of Advanced Manufacturing Systems. Nov2025, p1-20. 20p.

Schlagwörter: *MACHINING, INCONEL, GAS turbine blades, MICROHARDNESS, CUTTING force, SURFACE roughness, HIGH-speed machining

Strengthening the Working Surfaces of Gears Through Dynamic Burnishing.

Autoren: Grzegorzek, Wojciech Adamecki, Daniel Mikuła, Stanisław

Quelle: Management Systems in Production Engineering. Dec2025, Vol. 33 Issue 4, p502-508. 7p.

Schlagwörter: *MACHINING, BURNISHING, DEFORMATIONS (Mechanics), RESIDUAL stresses, GEARING machinery

Adaptive servo system for die-sinking micro-EDM driven by deep Q-network with online-offline combined data.

Autoren: Guo, Cheng Li, Hao Luo, Longhui et al.

Quelle: Journal of Intelligent Manufacturing. Dec2025, Vol. 36 Issue 8, p5351-5374. 24p.

Schlagwörter: *MACHINING, *ADAPTIVE control systems, REINFORCEMENT learning, MICROMACHINING, COST functions

Dual-sided co-machining scheme optimization for thin-wall components with complex geometry.

Autoren: Guo, Xiangyu Wang, Rui Zhong, Shisheng et al.

Quelle: Journal of Intelligent Manufacturing. Dec2025, Vol. 36 Issue 8, p5737-5756. 20p.

Schlagwörter: *MACHINING, *PROCESS optimization, MULTI-objective optimization, DIGITAL twin, COMPLEX geometry

Machine learning approach for prediction of hole oversize using acoustic emission signal features in ultrasonic machining of inconel 718.

Autoren: Mehtab Mirad, Mehdi Das, Bipul

Quelle: International Journal of Computer Integrated Manufacturing. Nov2025, Vol. 38 Issue 11, p1622-1636. 15p.

Schlagwörter: *INDUSTRIAL applications, *REAL-time computing, ULTRASONIC machining, ACOUSTIC emission, MACHINE learning, SUPPORT vector machines, INCONEL

Experimental investigation on subsurface damage characteristics in ultrasonic-assisted grinding of silicon carbide.

Autoren: Li, Hongbo Wang, Haoping He, Chao

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 16, p2231-2239. 9p.

Schlagwörter: SILICON carbide, ULTRASONIC machining, FRACTURE mechanics, MATERIAL erosion

Machining-induced surface integrity and machining-parameter optimization for finish-turning of slender workpieces.

Autoren: Han, Jinyong Zhang, Yinxia Nie, Fuquan et al.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 15, p2068-2080. 13p.

Schlagwörter: *MACHINING, *PROCESS optimization, MICROSTRUCTURE, CUTTING force, RESIDUAL stresses, SURFACE finishing, WORKPIECES

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

The role of PEEK viscoelasticity in chip formation, surface finish and geometrical accuracy

Autoren: Bertolini, R. Bottin, A. Zanella, Caterina et al.

Quelle: CIRP annals. 74(1):765-769

Schlagwörter: Cryogenic machining, Surface analysis, Viscoelasticity, Medical computing, Biomedical applications, Chip formations, Cryogenic conditions, Cutting speed, Dry condition, Geometrical accuracy, In-chip, Surface accuracy, Surface finishes, Surface cleaning

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-67785
https://doi.org/10.1016/j.cirp.2025.04.002

Smart process planning of crankshaft machining through multiple objectives optimization

Autoren: Amouzgar, Kaveh Wang, Wei Eynian, Mahdi et al.

Quelle: Procedia CIRP. 134:241-246

Schlagwörter: Industry 4.0, multi-objective optimizaiton, machining, smart process planning, Virtual Production Development (VPD), Virtual Manufacturing Processes (VMP)

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25472
https://doi.org/10.1016/j.procir.2025.03.018

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

Numerical modeling of manufacturing processes using advanced particle finite element methods

Autoren: Bakhshan, Hadi

Weitere Verfasser: University/Department: Universitat de Vic - Universitat Central de Catalunya. Departament d'Enginyeries

Thesis Advisors: Carbonell Puigbó, Josep Maria, Oñate Ibáñez de Navarra, Eugenio

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Metalls, Construcció mecànica, Fabricació, Acer, Mecanització, Vibració ultrasònica, Aleació Ti6Al4V, Mètode d'elements finits (FEM), Metal machining, Constitutive modeling, Phenomenological models, Ultrasonic vibration, Dislocation density, Steel, Enginyeries

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/693735

PRODUCTS.

Quelle: Production Machining. Oct2025, Vol. 25 Issue 10, p40-46. 7p.

Schlagwörter: *MACHINING, ELECTRIC metal-cutting, THREE-dimensional imaging

Processing of AISI304 material with novel textured tools under sustainable manufacturing practice.

Autoren: Bhaskar, N. K, Manjunath. Venkata Narayana, B. et al.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 13, p1693-1702. 10p.

Schlagwörter: *MACHINING, *ABRASIVE machining, SUSTAINABILITY, LUBRICATION systems, CUTTING tools, AUSTENITIC stainless steel

On the fabrication of high-precision μ-slots in Fe-SMA via B4C-assisted hybrid micro-ECM.

Autoren: Mishra, Rishikant Singh, Ravi Pratap Garg, R. K.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 13, p1794-1807. 14p.

Schlagwörter: *ABRASIVE machining, *MACHINING, SHAPE memory alloys, ELECTROCHEMICAL cutting, BORON carbides, SURFACE roughness

MQL turning processing of EN24 alloy steel material with novel textured tools.

Autoren: Mallikarjuna, P. Prasanna, P. Sivaiah, P. et al.

Quelle: Materials & Manufacturing Processes. 2025, Vol. 40 Issue 13, p1713-1724. 12p.

Schlagwörter: *MACHINING, *GREEN business, LUBRICATION systems, LASER machining, STEEL alloys, THERMAL properties

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

Taguchi analysis of machining parameters in cryogenically treated EN8 steel.

Autoren: Gnanasekaran, K. Krishnan, Ramesh Ananthapadmanaban, D. et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3360 Issue 1, p1-7. 7p.

Schlagwörter: *ELECTRIC metal-cutting, *MACHINING, *STEEL, *LOW temperature engineering, *MATERIAL erosion, *TAGUCHI methods, *MATHEMATICAL optimization