Machining Process Evaluation Indices for Developing a Computer Aided Process Planning System

2017 ◽  
Vol 11 (2) ◽  
pp. 242-250 ◽  
Author(s):  
Kenta Koremura ◽  
◽  
Yuki Inoue ◽  
Keiichi Nakamoto

In the manufacturing industry, there is an urgent need to shorten the manufacturing lead time of products. Therefore, optimizing process planning is essential to realize high efficiency machining. In this study, in order to develop a computer aided process planning (CAPP) system using previously proposed machining features, a prediction method for some process evaluation indices is proposed. Many candidates for the machining process exist, depending on the recognized machining features in a previous study. Therefore, by using these indices, operators can select a suitable process from among these candidates according to their ideas. Case studies of process planning are conducted to confirm that the operator’s strategy affects the selection of the machining process candidates. From the case study results, it is found that the proposed process evaluation indices have potential use in determining the machining process utilized, and are suitable for a flexible CAPP system of multi-tasking machine tools.

2014 ◽  
Vol 8 (3) ◽  
pp. 317-332 ◽  
Author(s):  
Mohammad Mi’radj Isnaini ◽  
◽  
Keiichi Shirase

The need to integrate the design and machining stages has become an important issue since the introduction of the Computer-Integrated Manufacturing (CIM) concept. The development of the Computer-Aided Process Planning (CAPP) system has been recognized to have made a significant contribution toward fulfilling the requirement for an integrated planning system. This paper reviews the development of the CAPP system, particularly for the metal removal process. Previous reviews on CAPP are gathered and discussed to show the evolution stage of CAPP in general. Main research topics that contribute to the CAPP system development are shown. Six elements of the CAPP system are identified as the most important tasks in generating a process plan. These elements consist of: (1) model convention, (2) manufacturing operation selection, (3) manufacturing resource selection, (4) cutting condition selection, (5) tool path selection, and (6) setup selection. Six elements for the development of CAPP that contribute to process planning for metal removal process are discussed. The evolution stages of each element easily show the involvement of several tools in order to support the corresponding element. For further guidance, the methods of comprehending the involvement of manufacturing information in CAPP are discussed. Knowledge structuring and logic reasoning are the main organizational steps that can be used to describe the CAPP data architecture of manufacturing information. Further, the examples of full-scale CAPP in actualizing machining process planning are presented. Finally, key technologies for future development of CAPP are discussed.


Machines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 61
Author(s):  
Trung Kien Nguyen ◽  
Lan Xuan Phung ◽  
Ngoc-Tam Bui

In the modern manufacturing industry, the role of computer-aided process planning (CAPP) is becoming increasingly crucial. Through the application of new technologies, experience, and intelligence, CAPP is contributing to the automation of manufacturing processes. In this article, the integration of a proposed CAPP system that is named as BKCAPP and G-code generation module provides a completed CAD–CAPP–CNC system that does not involve any manual processing in the CAM modules. The BKCAPP system is capable of automatically performing machining feature and operation recognition processes from design features in three-dimensional (3D) solid models, incorporating technical requirements such as the surface roughness, geometric dimensions, and tolerance in order to provide process planning for machining processes, including information on the machine tools, cutting tools, machining conditions, and operation sequences. G-code programs based on macro programming are automatically generated by the G-code generation module on the basis of the basic information for the machining features, such as the contour shape, basic dimensions, and cutting information obtained from BKCAPP. The G-code generation module can be applied to standard machining features, such as faces, pockets, bosses, slots, holes, and contours. This novel integration approach produces a practical CAPP method enabling end users to generate operation consequences and G-code files and to customize specific cutting tools and machine tool data. In this paper, a machining part consisting of basic machining features was used in order to describe the method and verify its implementation.


2013 ◽  
Vol 416-417 ◽  
pp. 919-924
Author(s):  
Hong Xia Yang ◽  
Wei Dong Chen ◽  
Hua Sheng Feng

With the rapid development of modern science and technology and computer technique, modern enterprise faces new challenges for product design, production, management, market planning and sales. The products of enterprises develop towards diversification, serialization and individualization. Technological design is important in product manufacturing process and is a bond of product design and actual production. Therefore, modern enterprises need to develop computer aided process planning system to improve the quality and efficiency of process design of the enterprise. Starting from the requirements of enterprises on computer aided process planning systems and combining the existing Web technology, the paper proposes the study on integration of computer aided process planning system and PDM system. The development and application of the system not only provides strong support for enterprises realizing rapid design and manufacture and strong basis for enterprises realizing computer integrated manufacturing system, but also makes informationization degree, economic benefit and social benefit of enterprises improve greatly.


1993 ◽  
Vol 1993 (173) ◽  
pp. 409-419 ◽  
Author(s):  
Yukio Ueda ◽  
Hidekazu Murakawa ◽  
Rashwan Ahmed Mohamed ◽  
Isao Neki ◽  
Ryoichi Kamichika ◽  
...  

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