Abstract
Grey cast iron is widely used because of its combination of excellent castability and machinability. Repair and refurbishment of cast iron components can maximize their lifetime and profitability. Laser deposition is uniquely transformative in its ability to repair or modify existing components. However, laser deposition on cast iron is very difficult because of the high level of crack occurrence due to its brittle nature. This study attempted to reduce cracking through using spiraling laser passes to preheat the substrate and control the cooling rate of the material post-deposition. Stainless steel 316L was used as the deposited repair material. It will be shown that crack-free laser deposition on cast iron components can be accomplished without the addition of auxiliary equipment. The repair of a diesel engine component will be used as a vehicle to demonstrate the feasibility of the proposed methods.
Original language | English (US) |
---|---|
Title of host publication | International Symposium on Flexible Automation, ISFA 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 229-236 |
Number of pages | 8 |
ISBN (Electronic) | 9781509034673 |
DOIs | |
State | Published - Dec 16 2016 |
Event | International Symposium on Flexible Automation, ISFA 2016 - Cleveland, United States Duration: Aug 1 2016 → Aug 3 2016 |
Publication series
Name | International Symposium on Flexible Automation, ISFA 2016 |
---|
Other
Other | International Symposium on Flexible Automation, ISFA 2016 |
---|---|
Country/Territory | United States |
City | Cleveland |
Period | 8/1/16 → 8/3/16 |
Funding
The authors gratefully acknowledge DMG MORI and the U.S. Department of Commence National Institute of Standards and Technology's Center for Hierarchical Materials Design (CHiMaD) under grant No. 70NANB14H012 for its financial support for this work. The authors would also like to offer special thanks to Mr. Karl Hranka for his valuable and constructive suggestions during the course of this research work.
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Systems Engineering