Ứng dụng hệ thần kinh nhân tạo trong quá trình uốn cong thép tấm bằng nhiệt cảm ứng

• Tác giả: Trường Thịnh Nguyễn, Thị Thuý Nga Trần, Thu Hà Trần
• Ngôn ngữ: vie
• Ký hiệu phân loại: 620.1 Engineering mechanics and materials
• Thông tin xuất bản: Cơ khí Việt Nam, 2011
• Mô tả vật lý: 20-28
• Bộ sưu tập: Metadata
• ID: 621448

Tóm tắt

This paper presents the development of an artificial neural network model for the prediction of heating-line positions in induction heating process. This model help shipyard manufacturers determine the positions of induction heating lines and their heating parameters to form a desired shape of plate. The vertical displacements of plate have been considered as the input parameters and the selected induction heating lines as output parameters to develop the model. The training patterns of neural network are obtained using an analytical solution that predicts plate deformations in induction heating process. The developed neural network model is tested to show its feasibility to determine the heating positions on the surface of a flat steel plate in the line heating process for forming a desired shape.