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Titlebook: AI Applications in Sheet Metal Forming; Shailendra Kumar,Hussein M. A. Hussein Book 2017 Springer Science+Business Media Singapore 2017 Sh

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發(fā)表于 2025-3-21 16:29:19 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱AI Applications in Sheet Metal Forming
影響因子2023Shailendra Kumar,Hussein M. A. Hussein
視頻videohttp://file.papertrans.cn/143/142770/142770.mp4
發(fā)行地址Demonstrates applications of various AI techniques in sheet metal forming, using real industrial sheet metal parts.Includes flow charts explaining the execution of the systems developed using AI techn
學(xué)科分類Topics in Mining, Metallurgy and Materials Engineering
圖書封面Titlebook: AI Applications in Sheet Metal Forming;  Shailendra Kumar,Hussein M. A. Hussein Book 2017 Springer Science+Business Media Singapore 2017 Sh
影響因子This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers workingin sheet metal industries, and will serve to provide future direction to young researchers and students working in the area..
Pindex Book 2017
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沙發(fā)
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https://doi.org/10.1007/978-3-030-29729-9erviewing with field engineers. Especially, the drawing coefficient, the punch and die radii for elliptical shape parts are considered as main design parameters. The KBS constructed in this study would be very useful to reduce lead-time for manufacturing and improve an accuracy of products.
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2364-3293 aining the execution of the systems developed using AI technThis book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming,
6#
發(fā)表于 2025-3-22 15:04:45 | 只看該作者
Lecture Notes in Computer Sciencelying artificial intelligence (AI) tools and techniques in designing and planning of sheet metal progressive dies. Human skills and expertise are still deemed necessary, although advanced AI tools have complemented the design process well.
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發(fā)表于 2025-3-22 18:54:25 | 只看該作者
Tsunato Nakai,Daisuke Suzuki,Takeshi Fujinots, S–N approach is used for calculation of number of cycles of compound die. The number of cycles gives the number of sheet metal parts that can be produced on compound die before its failure. The proposed ANN model is tested successfully on different compound dies designed for manufacturing various industrial sheet metal parts.
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Lecture Notes in Computer Sciencenalysis with full account of the formability limits of the material used. The main advantage of the proposed integrated approach is its capability of generating valid, optimized process plans in a relatively short time compared to traditional approaches. Two case studies are presented for demonstrating its effectiveness.
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