ES
Eyob Messele Sefene
Bahir Dar Institute of Technology, National Taiwan University of Science and Technology, Bahir Dar University
Research areas: Engineering · Mechanical Engineering · Advanced machining processes and optimization · Advanced Welding Techniques Analysis · Additive Manufacturing Materials and Processes
0000-0003-4660-6262
Employment
-
Bahir Dar Institute of Technology Lecturer2020 - Present
Education
- 2020 - 2024
-
Bahir Dar Institute of Technology MSc2017 - 2019
- 2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- Sustainable multi-diamond wire sawing of 4H-SiC: cooling strategies and hybrid VMD-ML for CO2 reduction and prediction Save
- Evolutionary computing-based image segmentation method to detect defects and features in additive friction stir deposition process Save
- Enhancing weld performance of AA2024-T351 using drilled-to-bossed geometry and deep learning prediction in direct drive friction welding Save
- Atomistic Modeling of Thermomechanical and Microstructural Evolution in Additive Friction Stir Deposition Save
- Determination of sawing temperature in multi-diamond wire sawing of mono-crystalline silicon carbide Save
- Sustainable assessment of diamond wire sawing for monocrystalline silicon wafers: Conventional and electrophoretic cooling strategies Save
- A comprehensive review of diamond wire sawing process for single-crystal hard and brittle materials Save
- Enhancing sustainability and machinability in electrophoretic-assisted diamond wire sawing of monocrystalline silicon wafer Save
- Analysis of contact length and temperature effect in rocking mode diamond wire sawing of monocrystalline silicon carbide wafer Save
- Assessment of sustainable and machinable performance metrics of monocrystalline silicon carbide wafer with electrophoretic-assisted multi-diamond wire sawing Save
- Assessment of Sustainable and Machinable Performance Metrics of Monocrystalline Silicon Carbide Wafer with Electrophoretic Assisted Multi-Diamond Wire Sawing Save
- Investigation on the electrical discharge machining of cryogenic treated beryllium copper (BeCu) alloys Save
- Homogenization of Inconel 625 based periodic auxetic lattice structures with varying strut thickness Save
- Prediction of Ultimate Tensile Strength of Additive Manufactured Specimens using Neurosymbolic based Machine Learning Algorithm. Save
- Surface roughness and surface crack length prediction using supervised machine learning–based approach of electrical discharge machining of deep cryogenically treated NiTi, NiCu, and BeCu alloys Save
- A multi-criterion optimization of mechanical properties and sustainability performance in friction stir welding of 6061-T6 AA Save
- Synthesis and characterization of diamond-like carbon coatings for drill bits using plasma-enhanced chemical vapor deposition Save
- Multi-objective Optimization of Energy Consumption, Surface Roughness, and Material Removal Rate in Diamond Wire Sawing for Monocrystalline Silicon Wafer Save
- Optimizing flexural strength of fused deposition modelling using supervised machine learning algorithms Save
- Explainable Artificial Intelligence (XAI) and Supervised Machine Learning-based Algorithms for Prediction of Surface Roughness of Additively Manufactured Polylactic Acid (PLA) Specimens Save