PROCASE: A Prototype of Intelligent Case-Based Process Planning System With Simulation Environment

Author(s):  
Hao Yang ◽  
Wen F. Lu

Abstract An intelligent case-based process planning system with interactive graphic simulation environment, PROCASE, is developed to demonstrate an integrated methodology of case-based process planning system. In PROCASE, both the mechanical part features and the machining operations are represented with a frame based scheme. PROCASE contains a retriever, a modifier, a simulator and a repairer. It distinguishes itself from traditional rule-based process planning systems by representing the process planning knowledge through previous process planning cases instead of production rules. It therefore can overcome some problems in the traditional rule-based expert systems. PROCASE currently resides in IRIS Indigo workstation. With a user friendly graphic environment, the generated process plans can be demonstrated vividly. This simulation environment not only serves as a good assistance in debugging, but also helps the user to be convinced of the outcomes of the reasoning of PROCASE.

Author(s):  
Sungdo Ha ◽  
Inshik Hwang ◽  
Myon Woong Park ◽  
Hyung-Min Rho

Abstract FAPPS (Feature-based Automatic Process Planning System) is developed as a comprehensive metal cutting process planning system operated in PC environments. It can recognize the machining features automatically from a given 3D part design model, and then generates operation sheets, divided process drawings, NC codes, and inspection sheet. It consists of the following modules: tolerance input module for menu-driven input of tolerances, feature recognition module for automatic recognition of pre-defined machining features and compound features, process planning module for rule based determination of machining processes, divided process drawing module for automatic generation of divided process drawings, operation planning module for rule based generation of specific operation plans, and measurement planning module for automatic generation of CMM measurement plans. The CMM measurement planning in FAPPS uses both geometric information and tolerance information from CAD files in order to determine measurement surfaces, number and positions of measurement points, and measurement sequences for inspecting machined parts. The measurement plan is represented in DMIS format for automated measurements using CMM’s. The measurement planning module that is realized in FAPPS is explained in this paper with the developed algorithms. Fuzzy logic calculation is used to determine the number of measurement points and geometric consideration for selecting measurement positions is performed.


Author(s):  
Hao Yang ◽  
Wen F. Lu

AbstractThis paper presents an approach for the case adaptation, especially case repairing, in a case-based process planning system: PROCASE, for machining of rotational parts. In PROCASE, a new process plan is generated by adapting an existing similar process plan from its case library. Case adaptation is a crucial issue in achieving an automated case-based process planning system. This is because, usually, an existing process plan cannot necessarily produce an exact identical part as of the desired part. Adaptation is essential to tailor this existing plan to generate a new process plan for the new part. The case adaptation in this paper comprises case modification, case simulation, and case repairing. The modifier uses the knowledge extracted from case library to edit the retrieved similar plan. The simulator plays an important role in verifying the adapted plan as well as in directing the plan repairing. The repairing rules are indexed by the error messages obtained from the simulation. With the proposed case adaptation, the system will have the capability to repair the erroneous plans to achieve an automated and intelligent process planning system. This paper will first briefly introduce the case representation and case retrieval in PROCASE. Then the rest of the paper is dedicated to the case adaptation.


2017 ◽  
Vol 45 (1) ◽  
pp. 13 ◽  
Author(s):  
Dušan Šormaz ◽  
Mayur Wakhare ◽  
Nur-Ul Arafat

Computer aided process planning is a critical link between design and manufacturing. The ready process plan in integration of design and manufacturing is always important to save manufacturing time, reduction of work in progress. This paper describes a rule based intelligent process planning system which selects necessary manufacturing processes features in the metal mechanical parts. Novel feature of this system is the use of detailed GD&T specification on both process selection and setup planning modules. Process selection module selects the necessary processes for manufacturing the hole feature that depends on feature dimensions, feature precedence, and specified geometric and dimensional tolerances. Setup planning module determines the sequences of the setups of the prismatic part on the machine tools that includes clustering and sequencing of the features in setups. This module uses rules for the following steps: tool approach direction definition, setup formation based on GD&T requirements, resolution of possible cyclic setups, setup sequencing and operation sequencing in setups. Rules can generate valid setups for both 3-axis and 4-axis milling machines. The procedures are illustrated on several examples.


2011 ◽  
Vol 11 (s1) ◽  
pp. S1-S13 ◽  
Author(s):  
Huan-Yu Lin ◽  
Jun-Ming Su ◽  
Shian-Shyong Tseng ◽  
Chi-Chun Hsu ◽  
Chung-Chao Ku ◽  
...  

Author(s):  
Laurent Sabourin ◽  
François Villeneuve

Abstract This article presents the validation of a part analysis method for the creation of a process planning system for automobile prototype activity at the PSA group. The methodology presented is founded upon the division of the problem into two semi-separate sub-fields. The first consists in automatically defining the operation sequences, by the association between functional and machining features. The second one defines the sequencing of machining operations in set ups, founded upon a constraint planning strategy. The methods developed in this article have been implemented as an expert system named OMEGA.


Author(s):  
Taishi Hirai ◽  
Isamu Nishida ◽  
Ryuta Sato ◽  
Keiichi Shirase

In this study, we propose a new process planning system for machining operations, one which considers user strategies and intentions for such operations. In previous process planning systems, the machining sequence is calculated geometrically, based on the Total Removal Volume (TRV) and the machining primitive region split from TRV. However, it remains difficult to determine the best machining sequence from among the large number of machining sequences calculated. Also, previous process planning systems do not consider user strategies and intentions in determining the appropriate machining sequence. Our new approach stores geometrical properties of the machining primitives when the user selects a machining sequence. Using these stored geometrical properties, the appropriate machining sequence can be automatically selected. User strategies and intentions are thus considered in determining a machining sequence based on learned geometrical properties. A case study was conducted to show the effectiveness of our proposed process planning approach. In the case study, user-specific machining sequences were automatically determined for various users, based on the relation among the geometrical properties of the machining primitives and the individual user’s strategies and intentions.


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.


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