1906 Generative Machining Process Planning System Based on Total Removal Volume Concept

Author(s):  
Mohammad M. ISNAINI ◽  
Ryuta SATO ◽  
Keiichi SHIRASE
2013 ◽  
Vol 32 (1) ◽  
pp. 114-123 ◽  
Author(s):  
Cheol-Soo Lee ◽  
Jae-Hyun Lee ◽  
Dong-Soo Kim ◽  
Eun-Young Heo ◽  
Dong-Won Kim

2009 ◽  
Vol 69-70 ◽  
pp. 570-574
Author(s):  
Shao Fei Jiang ◽  
Cong Da Lu

Process planning system for hydraulic disk brake for motorcycle based on Microsoft .Net platform is presented. Two modes of process planning which called retrieved process and generated process are studied for assembly process planning and machining process planning. Then process planning system for hydraulic disk brake for motorcycle is developed base on Browse/Sever mode. An example of hydraulic disk brake shows validity of the system.


2021 ◽  
Author(s):  
Yijing Cai

An automated machining process planning system for rotational parts is designed, developed and implemented. The system is called IPPS_R for Intelligent Process Planning System for Rotational parts. The IPPS_R system is designed for generating process plans for manufacturing rotational parts using metal cutting operations. A generative approach is employed to determine process operations and sequences automatically. For each machining feature, based on the accuracy and surface quality requirements, a fuzzy logic approach is developed to generate machining operations. A method of ranking the machining priorities of the features according to the feature relationship matrix is developed for sequencing operations. Moreover, the heuristic search of process plans is achieved by minimizing the number of setups in a plan. Finally, the IPPS_R system with a user-friendly interface is implemented in Microsoft Visual C++ on a personal computer, utilizing Microsoft Foundation Class (MFC). Two sample parts are used to demonstrate applications of the IPPS_R system.


2021 ◽  
Author(s):  
Yijing Cai

An automated machining process planning system for rotational parts is designed, developed and implemented. The system is called IPPS_R for Intelligent Process Planning System for Rotational parts. The IPPS_R system is designed for generating process plans for manufacturing rotational parts using metal cutting operations. A generative approach is employed to determine process operations and sequences automatically. For each machining feature, based on the accuracy and surface quality requirements, a fuzzy logic approach is developed to generate machining operations. A method of ranking the machining priorities of the features according to the feature relationship matrix is developed for sequencing operations. Moreover, the heuristic search of process plans is achieved by minimizing the number of setups in a plan. Finally, the IPPS_R system with a user-friendly interface is implemented in Microsoft Visual C++ on a personal computer, utilizing Microsoft Foundation Class (MFC). Two sample parts are used to demonstrate applications of the IPPS_R system.


2017 ◽  
Vol 139 (4) ◽  
Author(s):  
Wentao Fu ◽  
Saigopal Nelaturi

In machining process planning, it is critical to ensure that the part created following the manufacturing steps complies with the designated design tolerances. However, the challenge is that manufacturing errors are stochastic in nature and are introduced at almost every step of executing a plan, for example, due to inaccuracy of tooling, misalignment of location, etc. Furthermore, these errors accumulate or “stack up” as the machining process progresses to inevitably produce a part that varies from the original design. The resulting variations should be within prescribed design tolerances for the manufactured part to be acceptable. In this work, we present a novel approach for assessing the manufacturing errors by representing variations of nominal features with transformations that are defined in terms of extents of the features' degrees-of-freedom (DOFs) within their design and manufacturing tolerance zones (MTZs). We show how the manufacturing errors stackup can be effectively represented by the composition and intersection of these transformations. Several examples representing scenarios of different complexities are demonstrated to show the applicability of our approach in assessing the influence of manufacturing errors on the design tolerances following a machining plan. Discussions of our approach are provided to address concerns with the accuracy and efficiency as well as to disclose the potential of our approach to enable a tolerance-aware process planning system.


Author(s):  
Yaoyao F. Zhao ◽  
Xun W. Xu ◽  
Sheng Q. Xie ◽  
Tom R. Kramer ◽  
Fred M. Proctor ◽  
...  

Inspection is an essential part of the entire manufacturing chain providing measurement feedback to the process planning system. Fully automated machining requires automatic inspection process planning and real-time inspection results feedback. As inspection process planning is still based on G&M codes containing low-level information or vendor-specific bespoke routines, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards STEP and STEP-NC providing high-level product information for the entire manufacturing chain, it is achievable to combine machining and inspection process planning to generate optimal machining and inspection sequences with real-time measurement results feedback. This paper introduces an integrated process planning system architecture for combined machining and inspection. In order to provide real-time inspection feedback, On-Machine Inspection (OMI) is chosen to carry out inspection operations. Implementation of the proposed architecture has been partially carried out with a newly developed data model and interpreter software. A case study was carried out to test the feasibility of the proposed architecture.


2009 ◽  
Vol 407-408 ◽  
pp. 243-247
Author(s):  
Shao Fei Jiang ◽  
Chun Fu Lu ◽  
Cong Da Lu

This paper reports the work of web-based auto-design machining process of special bearing. A template-based process planning method is proposed for auto generating machining process of special bearing, including turning process and grinding process of inner ring or outer ring. Process templates are customized to generate process, procedures size and size tolerance are calculated according to procedure size database. A web-based process planning system is developed based on the proposed method. The use of the system is illustrated with an example.


Author(s):  
Yaoyao F. Zhao ◽  
Xun W. Xu ◽  
Sheng Q. Xie

Closed-Loop Manufacturing (CLM) techniques include machine tool self-checks, automated setups, tool measurement, in-process probing with process adjustment, on-machine final inspection, data collection and data analysis. All of these elements and more are utilized to collect data in a mostly automated fashion to subsequently correct and adjust undesired conditions that can affect part quality. Inspection process planning plays an essential part of CLM. As G&M codes that contains low-level information or vendor-specific bespoke routines is the primary programming language, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards such as STEP and STEP-NC providing high-level product information for the entire manufacturing chain, it is conceivable that both machining and inspection process planning are considered hand-in-hand to generate optimal machining and inspection sequences with real-time measurement feedback for the CLM scenario. This paper introduces an reactive process planning system architecture that incorporates machining, inspection, and feedback. In order to provide real-time inspection feedback, On-Machine Measurement (OMM) is chosen to carry out inspection operations. Implementation of the proposed architecture has been partially carried out with newly developed data model and interpreter. A case study testified the feasibility of the proposed architecture.


2005 ◽  
Vol 04 (01) ◽  
pp. 69-82 ◽  
Author(s):  
JING CAI ◽  
MICHAEL WEYRICH ◽  
ULRICH BERGER

As a new CAx concept, Digital Factory points out digital design of product & virtual planning of production. In this context, feature technology builds up the entire CAx process chain in Digital Factory, and facilitates STEP based engineering data generation and exchange. The collaborative computer-aided machining process planning of a transfer line is an element in process chain of extended enterprises Automotive Engineering. In practice, it is an approach engaged by both OEMs and their long-term machine suppliers. Application of a CAD-based Digital Factory planning system to design a virtual transfer line needs planning standard data and exchange with supplier. This paper highlights STEP-referenced ontological data modeling approach in the standardized data exchange for collaborative machining process planning, discusses the aspects of its prospective application advantages in machining process planning by OEMs and suppliers for Powertrain production in Automotive Industry.


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