Issue |
MATEC Web Conf.
Volume 121, 2017
8th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 7 | |
Section | Advanced Manufacturing Technologies | |
DOI | https://doi.org/10.1051/matecconf/201712103010 | |
Published online | 09 August 2017 |
Factors that influence the quality constant of the manufacturing process for asphalt milling knifes
1 Transilvania University of Brasov, Department of Materials Engineering and Welding, 1 Colinei Street, 500084 Brasov, Romania
2 SC Sudotim AS SRL Timisoara, 30 Mihai Viteazu Street, 300222 Timisoara, Romania
3 University POLITEHNICA of Buchares, Department of Materials Technology and Welding, 313 Splaiul Independentei Street, 060042, Bucharest, Romania
* Corresponding authors: daniela.iovanas@yahoo.com
The quality constant for mill knifes used to strip asphalt is significantly influenced by the quality of the reinforcement which, in its turn, is influenced by the thermic brazing process and by manufacturing the protection system at blockage through welding when it spins around its axis. It’s also influenced by the quality of the intelligent wear and blocking self-protection systems that in their turn are influenced by oxidation and diffusion processes of W and C that make simmered carbides from the reinforcement and brazed joints. Overheating during welding and brazing of the knife reinforcement and/or blockage self-protection reinforcement favours the oxidation of the W carbides leading to a fast degradation of the affected zones, even in exploitation. Exceeding optimum temperature during brazing of the reinforcement in the low chromium alloyed steel support leads to Zn evaporation in certain areas from the brazing material and lowers the brazed joint resistance to wear this causes the knife reinforcement to detach from the support. Taking into consideration the above mentioned facts it is recommended that the production stages of the mill knifes are done mechanized and/or automatic constantly monitoring the execution parameters.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.