Abstract
The long and costly lead times necessary in developing new forged products motivate the application of concurrent engineering principles and knowledge-based computer software systems in hot forging. Design engineers can benefit significantly from such systems, particularly if they incorporate both product and manufacturability knowledge. An Automated Concurrent Engineering Software (ACES) for part design and manufacturing has been developed at the Design and Manufacturing Institute (DMI) at Stevens Institute of Technology. This system combines deterministic and empirical knowledge about a variety of aspects of product design and manufacturing, and thus, it provides potent reasoning and decision-making power that enables the engineer to reduce drastically the time between product conception and final production. This paper reports on the development of the prototype of a knowledge-based module for hot forging processes.
| Original language | English |
|---|---|
| Pages (from-to) | 48-54 |
| Number of pages | 7 |
| Journal | Concurrent Engineering Research and Applications |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2001 |
Keywords
- Concurrent engineering
- Design constraint optimization
- Early cost estimation
- Integrated product and process design
- Knowledge-based system
- Manufacturability
Fingerprint
Dive into the research topics of 'Concurrent product and process design in hot forging'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver