Hana Beyene Mamo

Prediction of tensile strength in fused deposition modeling process using artificial neural network and fuzzy logic

Amanuel Diriba Tura, Hirpa G. Lemu, Hana Beyene Mamo et al. · Progress in Additive Manufacturing · 2022 · 33 citations · Full text

Engineering, Materials Engineering, Materials Science +17

Characterization and parametric optimization of additive manufacturing process for enhancing mechanical properties

Amanuel Diriba Tura, Hana Beyene Mamo · Heliyon · 2022 · 32 citations · Full text

Engineering, Manufacturing Engineering, Materials Engineering +13

Experimental Investigation and Prediction of Mechanical Properties in a Fused Deposition Modeling Process

Amanuel Diriba Tura, Hirpa G. Lemu, Hana Beyene Mamo · Crystals · 2022 · 17 citations · Full text

Engineering, Materials Engineering, Materials Science +14

Experimental investigation and ANN prediction for part quality improvement of fused deposition modeling parts

Amanuel Diriba Tura, Hana Beyene Mamo, Yohanis Dabesa Jelila et al. · IOP Conference Series Materials Science and Engineering · 2021 · 15 citations · Full text

Engineering, Manufacturing Engineering, Materials Engineering +14

Modeling and analysis of flexural strength with fuzzy logic technique for a fused deposition modeling ABS components

Hana Beyene Mamo, Amanuel Diriba Tura, A. Johnson Santhosh et al. · Materials Today Proceedings · 2022 · 14 citations

Natural Sciences, Materials Engineering, Materials Science +11