Abrasive Water Jet Milling as An Efficient Manufacturing Method for Superalloy Gas Turbine Components
2022 (English)In: Journal of Manufacturing and Materials Processing, ISSN 2504-4494, Vol. 6, no 5, article id 124Article in journal (Refereed) Published
Abstract [en]
In order to improve efficiency when manufacturing gas turbine components, alternative machining techniques need to be explored. In this work, abrasive water jet (AWJ) machining by milling has been investigated as an alternative to traditional milling. Various test campaigns have been conducted to show different aspects of using AWJ milling for the machining of superalloys, such as alloy 718. The test campaigns span from studies of individual AWJ-milled tracks, multi-pass tracks, and the machining of larger components and features with complex geometry. In regard to material removal rates, these studies show that AWJ milling is able to compete with traditional semi/finish milling but may not reach as high an MRR as rough milling when machining in alloy 718. However, AWJ milling requires post-processing which decreases the total MRR. It has been shown that a strong advantage with AWJ milling is to manufacture difficult geometries such as narrow radii, holes, or sharp transitions with kept material removal rates and low impact on the surface integrity of the cut surface. Additionally, abrasive water jet machining (AWJM) offers a range of machining possibilities as it can alter between cutting through and milling. The surface integrity of the AWJM surface is also advantageous as it introduces compressive residual stress but may require post-processing to meet similar surface roughness levels as traditional milling and to remove unwanted AWJM particles from the machined surface. © 2022 by the authors.
Place, publisher, year, edition, pages
MDPI , 2022. Vol. 6, no 5, article id 124
Keywords [en]
abrasive water jet machining, alloy 718, milling, superalloys, surface integrity
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:ri:diva-61207DOI: 10.3390/jmmp6050124Scopus ID: 2-s2.0-85140576201OAI: oai:DiVA.org:ri-61207DiVA, id: diva2:1716744
Note
Funding details: 2015-06047, 2017-05589; Funding details: VINNOVA; Funding text 1: This research was funded by Vinnova, the Swedish government agency within Ministry of Enterprise, grant number grant number [2015-06047] and grant number [2017-05589].
2022-12-062022-12-062023-05-22Bibliographically approved