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Research article

First published 2018-8

Prediction model for bead reinforcement area in automatic gas metal arc welding

Ji-Yeon Shim, Jan-Wei Zhang, Han-Yong Yoon [...]

Advances in Mechanical Engineering

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Research article

First published 2022-10

Finite element analysis and experimental investigation of moving heat source model for GMAW deposited mild steel weld bead

Mohd Aslam, Chinmaya Kumar Sahoo

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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Research article

First published 2001-05

in Vivo Evaluation of Antibiotic Impregnated Beads in a Rat Osteomyelitis Model

W. S. Dernell, C. Gentry-Weeks, M. C. Manning [...]

Journal of Bioactive and Compatible Polymers

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Research article

First published 2016-11

Modelling of bead hump formation in high speed gas metal arc welding

Guoxiang Xu, Qingnan Cao, Qingxian Hu [...]

Science and Technology of Welding and Joining

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Research article

First published 2023-1

Inclusion of IoT technology in additive manufacturing: Machine learning-based adaptive bead modeling and path planning for sustainable wire arc additive manufacturing and process optimization

Bala Krishna Reddy Kunchala, Suresh Gamini, T Ch Anilkumar

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2012-2

Inhomogeneous constructive modelling of laser welded bead based on nanoindentation test

Y L Song, L Hua, F Z Meng

Ironmaking & Steelmaking: Processes,Products and Applications

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Research article

First published 2002-10

Prediction of multiwire submerged arc weld bead shape using neural network modelling

G. E. Ridings, R. C. Thomson, G. Thewlis

Science and Technology of Welding and Joining

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Research article

First published 2007-10

Modelling weld bead geometry using neural networks for GTAW of austenitic stainless steel

P. Ghanty, S. Paul, D. P. Mukherjee [...]

Science and Technology of Welding and Joining

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Research article

First published 2024-7

Neural networks-based modeling of compressive stress in expanded polystyrene foams: A focus on bead size parameters

Melvin I. Pech-Mendoza, Alejandro E. Rodríguez-Sánchez, Héctor Plascencia-Mora

Proceedings of the Institution of Mechanical Engineers,Part L: Journal of Materials: Design and Applications

Open access

Research article

First published 2024-1

A rat model for acute limb ischemia using microsized gelatin beads

Yuki Menjo, Masaya Yasui, Kaori Fukushige [...]

Science Progress

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