Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8709
Title: Secondary Processing of Aramid with AWJ and Optimization with NSGA-III
Authors: Kahya, Muge
Dogankaya, Emre
Caylan, Omer
Büke, Zarife Göknur
Ünver, Hakkı Özgür
Keywords: aramid
abrasive water jet
multi objective optimization
NSGA-III
Fiber-Reinforced Plastics
Parameters
Performance
Hole
Composites
Algorithm
Polymer
Quality
Matrix
Art
Issue Date: 2022
Publisher: Sage Publications Ltd
Source: Kahya, M., Doğankaya, E., Çaylan, Ö., Büke, Z. G., & Ünver, H. Ö. (2022). Secondary Processing of Aramid with AWJ and Optimization with NSGA-III. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 09544089221085325.
Abstract: The secondary operations of composite parts are performed following thermal cure processes, which generate the final dimensions with desired tolerance and quality specifications. High-strength composites, on the other hand, especially aramid fiber-reinforced polymers (AFRP), are not suitable for conventional machining operations due in part to high operational costs and limited surface quality characterized by fuzziness and delamination. Abrasive Water Jet (AWJ) has been recently shown promising results in obtaining improved surface quality while ensuring significant cost advantages. This study investigates the AWJ processing of AFRP by implementing the analysis of variance and response surface methods. The effects of the control parameters (sand ratio, pressure, stand-off-distance, and feed rate) on the surface quality metrics (surface roughness, kerf angle, and dimensional error) are identified and comparatively evaluated. The surface quality of the AWJ processed AFRP specimens are investigated using Scanning Electron Microscopy (SEM). The trade-offs between the measured tolerances and surface roughness values are identified via a new genetic algorithm approach: Non-dominated Sorting Genetic Algorithm (NSGA-III). Also, operation regions are determined using the generated Pareto curves while improving the quality of various features of an AFRP component, critical to its functional performance during extended service life. As a result, the lowest Ra values obtained were 4.135 mu m for trimming, 5.962 mu m for pocketing, and 4.696 mu m for the hole-making operation. The maximum error in the accuracy of operating regions yields to 7% with independent measurements for validation.
URI: https://doi.org/10.1177/09544089221085325
https://hdl.handle.net/20.500.11851/8709
ISSN: 0954-4089
2041-3009
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü / Department of Material Science & Nanotechnology Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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