Improvement of Computational Efficiency in Flexible Computer-Aided Process Planning

2014 ◽  
Vol 8 (3) ◽  
pp. 396-405 ◽  
Author(s):  
Eiji Morinaga ◽  
◽  
Takuma Hara ◽  
Hiroki Joko ◽  
Hidefumi Wakamatsu ◽  
...  

Process planning plays an important role as a bridge between product design and manufacturing. Computer-aided process planning (CAPP) has been a topic of discussion in this half century. The recent diversification in customers’ needs has been driving the development of agile manufacturing that can adapt to different manufacturing situations. CAPP should also be discussed from this point of view and, to this end, a set of flexible process planning methods have been proposed. Unlike conventional CAPP methods, these methods first generate all the feasible process plans. These are then evaluated, and then an optimal plan is selected. Therefore, it is possible to quickly provide an optimal new plan in the event of a change in the situation, by re-evaluating the plans against the new situation. However, these methods generally involve a large computational load, since the full search approach is taken to select an optimal plan. This study set out to reduce the computational load by formulating the selection process as a 0-1 integer programming problem that can now be solved thanks to recent developments in computer technology and solvers. Case studies have proven the efficacy of this method.

2011 ◽  
Vol 5 (5) ◽  
pp. 700-707 ◽  
Author(s):  
Eiji Morinaga ◽  
◽  
Masayuki Yamada ◽  
Hidefumi Wakamatsu ◽  
Eiji Arai ◽  
...  

This paper concerns the development of flexible Computer-Aided Process Planning (CAPP). In the agile manufacturing which has been strongly promoted, manufacturing situation changes dynamically. Therefore, the CAPP method which can be adaptable to these dynamic changes is required. From this point of view, there has been the method which is mainly composed of the following three steps – (i) decomposing the Total Removal Volume (TRV), (ii) recomposing parts obtained by decomposition, and (iii) extracting an optimal set of parts. Steps (i) and (ii) require a high computational load. We propose solving this problem by focusing on concave parts of the TRV in decomposition. The proposed method is also enhanced toward the multiaxis milling processes. A case study demonstrates the feasibility and effectiveness of our proposal.


Author(s):  
Eiji Morinaga ◽  
Takuma Hara ◽  
Hidefumi Wakamatsu ◽  
Eiji Arai

Computer support technology for modern manufacturing should deal with variable situations to accomodate to high-mix low-volume manufacturing. Computer-aided process planning (CAPP) has been discussed from this point of view, and a method for flexible CAPP, which generates a new proper process plan easily when manufacturing situation has changed, was proposed for rough milling by a three-axis vertical machine. This method was enhanced to handle millings by a multiaxis vertical machine and by both vertical and horizontal machines. The basic idea of these methods is to generate all process plans and then choose the best one. In the choice process of the best plan, all of the generated plans are evaluated. However, this process requires a large computational power when employed in actual machining where products of complex shapes have to be produced. For this computational problem, this paper discusses application of the mathematical optimization framework to this choice process.


Author(s):  
Xun Xu

Products and their components are designed to perform certain functions. Design specifi- cations ensure the functionality aspects. The task in manufacturing is then to produce the components that meet the design specifications. The components are in turn assembled into the final products. When computers are used to assist the process planning and manufacturing activities, multiple benefits can be had. The related technologies are known as computer-aided process planning and computer-aided manufacturing. Often, they are not separable and are therefore discussed in tandem in this chapter. It should be emphasized that process planning is not only for metal-cutting processes. We need process planning for many other manufacturing processes such as casting, forging, sheet metal forming, compositesz and ceramic fabrication. In this chapter, the basic steps of developing a process plan are explained. There are two approaches to carrying out process planning tasks—manual experience-based method and computer-aided process planning method. The focus is on two computer-aided process planning methods, the variant approach, and generative approach. These discussions on process planning have been limited to machining processes. The topic of computer-aided manufacturing, on the other hand, is discussed with a more general point of view. A fictitious CAM plant is presented and some of the key aspects of CAM in a manufacturing system are discussed. A more specific version of CAM (i.e. computer numerical control) will be covered in Chapters VIII and IX.


2014 ◽  
Vol 598 ◽  
pp. 591-594 ◽  
Author(s):  
Li Yan Zhang

ISO 14649, known as STEP-NC, is new model of data transfer between CAD/CAM systems and CNC machines. In this paper, the modeling based on machining feature is proposed. The machining feature comes from the manufacturing process considering the restriction of machining technology and machining resource. Then the framework for computer aided process planning is presented, where the algorithms of operation planning is studied. The practical example has been provided and results indicate that machining feature based model can integrate with CAPP and STEP-NC seamlessly.


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