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Rongde Li

Researcher at Shenyang University of Technology

Publications -  5
Citations -  24

Rongde Li is an academic researcher from Shenyang University of Technology. The author has contributed to research in topics: Edge detection & Alloy. The author has an hindex of 3, co-authored 5 publications receiving 24 citations.

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Patent

High strength heat-resisting hypereutectic aluminium-silicon alloy and preparation method thereof

TL;DR: In this paper, a high strength heat-resisting hypereutectic aluminium-silicon alloy, belonging to the field of metallurgical technology, has been proposed.
Patent

Method for repairing edge contour image of columnar injection deposition blank

TL;DR: In this paper, an edge detection method adopting smoothness-potentiation-edge detection-size extraction can not exactly extract deposition billet size during a real-time detection of the jet deposition-billet size, because the shape of image edge is mutated after the edge detection or a breakpoint exists.
Patent

Semi-solid extrusion of hypereutectic Al-Fe alloy, and heat treatment method

TL;DR: In this article, a semi-solid extrusion of hypereutectic Al-Fe alloy, and a heat treatment method, belonging to the technical field of extrusion and semi solid shaping, is described.
Journal ArticleDOI

Analysis of principle deviation of subpixel Zernike moments operator

TL;DR: In this paper, the effect of principle deviation on edge location is discussed, and the principle deviation of edge translation l is derived based on Zernike moments edge detection theory, and a modified formula of l is given for the original zernike moment edge operator with masks of 5 × 5 size.
Book ChapterDOI

The Extraction of Fuzzy Rules and Control for Deposit Dimension in Spray Forming Process

TL;DR: Simulation results show that fuzzy controller is available to regulate deposit dimension, main advantage of FC has a stronger adaptability for nonlinear process control than PID controller, and FC of identical structure has satisfying control performance for different predetermined target values.