Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Eskişehir Osmangazi Üniversitesi, Fen Bilimleri Enstitüsü, Türkiye
Tezin Onay Tarihi: 2020
Tezin Dili: İngilizce
Öğrenci: PETER RUGU MAINA
Asıl Danışman (Eş Danışmanlı Tezler İçin): Melih Cemal Kuşhan
Eş Danışman: Evren Yasa
Özet:
The increasing demand for metal
components with complex geometries and high quality has steered the development
of various manufacturing technologies. As an emerging and innovative industrial
production technology, Additive Manufacturing (AM) allows for realization of
three-dimensional shapes with complex geometries based on a layer-by-layer
incremental manufacturing concept with high degrees of customization compared
to traditional metal manufacturing processes such as forming, cutting and
casting. However, despite the numerous advantages associated with the use
additive manufacturing (AM), the use of different combinations of key process
parameters highly influence the printed part’s structural integrity and
quality. As AM evolves rapidly, the reality is that, part failure rates can be
quite high especially during the first-time production of 3D metal parts
especially due to the use of unoptimized process parameters. This implies that
to make the metal AM processes predictable and reliable for the successful
production of metal parts, the costly and time-consuming trial and error
attempts have to be eliminated by the use of part build design optimization and
simulation tools to prevent material wastage and accurately predict the
behavior of a build part before initiating the printing process.