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Manufacturing feature recognition toward integration with process planning.

J H Han¹, I Han, E Lee

¹Sch. of Electr. & Comput. Eng., Sung Kyun Kwan Univ., Suwon.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|February 5, 2008

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This study integrates feature recognition and process planning for manufacturing. It develops a system for optimal machining sequence generation based on tool capabilities and feature dependencies, improving Computer-Aided Manufacturing (CAM).

Area of Science:

Manufacturing Engineering
Computer-Aided Design (CAD)
Computer-Aided Manufacturing (CAM)

Background:

Process planning is crucial for linking CAD and CAM.
Current feature recognition methods do not fully meet process planning needs.

Purpose of the Study:

To integrate feature recognition with process planning.
To develop a feature-based machining sequence generation system.

Main Methods:

Recognizing manufacturable features using a tool database.
Constructing feature dependencies.
Employing the A* algorithm for optimal sequence search.
Utilizing a manufacturing cost function.

Main Results:

Related Experiment Videos

The system identifies manufacturable features and their dependencies.

An optimal machining sequence is generated based on tool capabilities and cost.

Conclusions:

The integrated approach enhances process planning by aligning feature recognition with CAM requirements.
This method optimizes machining sequences for improved manufacturing efficiency.