Tribomechanical Behaviour and Elasto-Plastic Contact Response of 3D-Printed Versus Conventional Polymer Inserts in Robotic Gripping Interfaces. [PDF]
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Application of convolutional neural networks for surface discontinuities detection in shielded metal arc welding process. [PDF]
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Optimization of Microfluidic Geometry for Extracellular Vesicle Capture Using an Automated Parallel Pattern Search. [PDF]
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A prediction of welding process parameters by prediction of back-bead geometry
Journal of Materials Processing Technology, 2000Abstract In this paper, results with regard to the geometry prediction of the back-bead in gas metal arc welding where a gap exists were compared. Methods using in geometry prediction were employed multiple regression analysis and artificial neural network.
J.I. Lee, K.W. Um
exaly +2 more sources
A scheme of comprehensive assessment of weld bead geometry
The International Journal of Advanced Manufacturing Technology, 2015Weld bead geometry is a complex multi-input multi-output system. The relation between every individual geometrical feature and welding process parameter of a weld bead is unique, like the weld width, reinforcement height, and penetration depth. A comprehensive assessment scheme for weld bead geometry is proposed.
Abhay Sharma +2 more
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Influence on the Bead Geometry in Laser Metal Deposition
2023Laser metal deposition with wire (LMD-w) is a promising additive manufacturing technology, which attracts interest due to the low waste of material, the flexible application possibilities along the production chain and the improved metallurgical properties compared to powder-based processes.
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Ultrasonic Detection of Weld Bead Geometry
1987The three basic components needed to truly automate a welding machine are being investigated in a joint research effort involving the Idaho National Engineering Laboratory (INEL) and the Massachusetts Institute of Technology (MIT). These are: sensors to detect the physical properties of the weld, a model of the welding process, and a control system ...
Carlson, Nancy, Johnson, John
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Intelligent process model for bead geometry prediction in WAAM
Materials Today: Proceedings, 2018Abstract Wire and arc additive manufacturing (WAAM) is a predominant technique for metal based additive manufacturing process. In this process, generation of layers by depositing beads puts high emphasis on single bead geometry. This paper focuses controlling the bead geometry by suitable selection of welding process parameters.
M. Karmuhilan, Anoop kumar sood
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On-line learning of welding bead geometry in industrial robots
The International Journal of Advanced Manufacturing Technology, 2015In this paper, we propose an architecture based on an artificial neural network (ANN), to learn welding skills automatically in industrial robots. With the aid of an optic camera and a laser-based sensor, the bead geometry (width and height) is measured.
Jaime F. Aviles-Viñas +2 more
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