3D Model Based Machining Process Planning

2011 ◽  
Vol 301-303 ◽  
pp. 534-544
Author(s):  
Jie Zhao ◽  
Ding Hua Zhang ◽  
Zhi Yong Chang

The wide application on fields of designing and NC programming based on 3D model of part not only provide the supporting for applying 3D based process planning, but also raise the challenge for the design capability of 3D based process planning. The 3D based process is not just replacing 3D process drawing with 3D model, it is concerned with schemas of designing, managing information applying of process. This paper presents a novel architecture of modeling process information in 3D scene, the 3D based architecture proposed manages process information on the base of geometries and serial changes, which reflect machining operations applied to part, of geometry of part from raw material to final part and comprises such three sub-modules as manufacturing features, 3D model based processes and manufacturing resources. A methodology is exploited aiming at reducing overload of 3D modeling for process planner and keeping the consistency among 3D working procedure models when inevitable process change occurred, then a related algorithm is detailed in which the process decision information retrieved from the technician is transformed automatically to geometrical information to generate 3D working procedure model. Several typical applying of 3D based process consisting of Recognition and analysis of technology dimension chain based on 3D serial model, NC programming for CMM and analysis of feasibility of process are discussed and a prototype is demonstrated to verifying validity of the architecture and the methodology.

2019 ◽  
Vol 20 (8) ◽  
pp. 806 ◽  
Author(s):  
Laurent Delolme ◽  
Anne-Lise Antomarchi ◽  
Séverine Durieux ◽  
Emmanuel Duc

The objective of this work is to develop a methodology for the automatic generation of optimised and innovative machining process planning that enable aeronautical subcontractors to face current productivity and competitiveness issues. A four-step methodology is proposed, allowing the user to obtain optimised machining ranges that respect his know-how and experience and introduce innovation. This methodology is based on a representation of the decisional behaviour of the user in a given situation as well as in the face of the risk of industrialisation and broadens the formalisation of the performance of a process by taking into account other performance criteria other than machining time or overall cost. A genetic algorithm is used to generate optimized process planning. An AHP method is used to represent the decision-making process. The methodology presents the best processes generated and the use of social choice theory enables it to target the most efficient ranges to be implemented, by integrating a risk criterion to the industrialization.


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