An AI-based generative process planning system for machining operations

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.

Download Full-text

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

13th Computers in Engineering Conference ◽

10.1115/cie1993-0069 ◽

1993 ◽

Author(s):

Hao Yang ◽

Wen F. Lu

Keyword(s):

Process Planning ◽

Planning System ◽

Simulation Environment ◽

Rule Based ◽

Process Plans ◽

Integrated Methodology ◽

Process Planning System ◽

Machining Operations ◽

User Friendly ◽

Case Based

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.

Download Full-text

Machining Operation Process Planning System Considering User Strategies and Intentions

Volume 3: Manufacturing Equipment and Systems ◽

10.1115/msec2017-2749 ◽

2017 ◽

Author(s):

Taishi Hirai ◽

Isamu Nishida ◽

Ryuta Sato ◽

Keiichi Shirase

Keyword(s):

Process Planning ◽

Planning System ◽

Planning Systems ◽

Geometrical Properties ◽

Operation Process ◽

Planning Approach ◽

Process Planning System ◽

The Individual ◽

Machining Operations

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.

Download Full-text

IPPS_R : a generative process planning system for rotational parts

10.32920/ryerson.14656884.v1 ◽

2021 ◽

Author(s):

Yijing Cai

Keyword(s):

Process Planning ◽

Metal Cutting ◽

Machining Process ◽

Planning System ◽

Relationship Matrix ◽

Generative Process ◽

Process Plans ◽

Process Planning System ◽

Rotational Parts ◽

Machining Process Planning

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.

Download Full-text

IPPS_R : a generative process planning system for rotational parts

10.32920/ryerson.14656884 ◽

2021 ◽

Author(s):

Yijing Cai

Keyword(s):

Process Planning ◽

Metal Cutting ◽

Machining Process ◽

Planning System ◽

Relationship Matrix ◽

Generative Process ◽

Process Plans ◽

Process Planning System ◽

Rotational Parts ◽

Machining Process Planning

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.

Download Full-text