digital machining
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Author(s):  
Teleshevsky Vladimir Ilyich ◽  
Sheptunov Sergey Aleksandrovich ◽  
Sokolov Vladimir Aleksandrovich
Keyword(s):  

2013 ◽  
Vol 712-715 ◽  
pp. 2149-2153
Author(s):  
Yan Chao Yin ◽  
Lei Wu

In order to high-quality manufacture the hydro turbine blade efficiently, a series of innovative digital techniques have been developed. It includes 3-D modeling based on machining requirement, multi-axis tool path planning and generating, tool axis orientation for multi-axial NC machining of blades, machining simulation environment establishment, computer simulation for machining of a large blade to verify the gouges and collisions between machine tool, blade and fixtures. The techniques of multi-axis digital machining simulation for large-size blades can be directly applied into digital simulation processing of other sculptured surface parts, and it will completely change the traditional design and manufacturing process of turbine.


2011 ◽  
Vol 411 ◽  
pp. 622-625
Author(s):  
Hong Rui Cao ◽  
Bing Li ◽  
Zheng Jia He

Based on a cutting dynamics model, a new digital machining process model that integrates workpiece quality and machining condition information is proposed, and the mapping relationship between machine tool structural dynamics and product quality information (e.g., dimension error, surface shape) is analyzed in detail. On the basis of the digital machining process model, the condition monitoring and fault diagnosis method of the machining process is investigated, and an implementation flowchart of the method is proposed with explanations of critical techniques. Finally, the proposed model is applied to the condition monitoring and fault diagnosis of the machining process of a CNC end milling machine. The damage of its spindle bearing is detected successfully, which provides the proof for the root cause identification of machining error in the digital machining process.


Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou

Manufacturing Intelligence (MI) focuses on how to adopt artificial intelligence and computing intelligence methods to solve problems in digital manufacturing, such as intelligent digital scheduling, intelligent digital designing, intelligent digital machining, intelligent digital controlling, intelligent digital process planning, intelligent digital diagnosis and maintenance. In order to meet the needs of a changing market, manufacturing systems have been in a constant process of development and the pursuit of perfection. In this chapter, the various characteristics of the manufacturing industry in the 21st century are analyzed from the perspective of society, market, product, enterprise and manufacturing technology. Then a brief review of MI in previous chapters is presented. The trends and prospects of MI, adapted to the development of manufacturing, are then discussed, followed lastly by a summary of this chapter.


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