Ala'aldin Alafaghani
Additive manufacturing researcher, currently finishing my Ph.D. in Mechanical Engineering (ME) at the University of California, Merced, where I also earned my Master’s degree in ME. I have been awarded the Southern California Edison Fellowship 2020/21.
My Ph.D. work focuses on optimizing the mechanical behavior of polymer and metallic additively manufactured parts. This is accomplished by optimizing the processing parameters of SLM and FDM manufacturing processes or by developing post processing treatments. Metallurgical analysis and metallography combined with design of experiments and data driven analysis approaches were utilized to additively manufacture reliable and durable parts.
I have a strong background in different additive manufacturing technologies and metallography characterization techniques. Additionally, I have a fundamental understanding of finite element analysis (FEA) using Abaqus and ANSIS, and computational fluid dynamics (CFD) using open-source platform such as OpenFOAM. I am always excited to gain new skills to solve new challenging problems.
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My Ph.D. work focuses on optimizing the mechanical behavior of polymer and metallic additively manufactured parts. This is accomplished by optimizing the processing parameters of SLM and FDM manufacturing processes or by developing post processing treatments. Metallurgical analysis and metallography combined with design of experiments and data driven analysis approaches were utilized to additively manufacture reliable and durable parts.
Publications
- A. Alafaghani, A. Qattawi, J. Truong, M.S. Jaman, J.-Q. Sun, Optimizing Fused Deposition Modeling Processing Parameters Using Response Surface Method for Strong Parts, in: Vol. 1 Addit. Manuf. Adv. Mater. Manuf. Biomanufacturing; Life Cycle Eng. Manuf. Equip. Autom., American Society of Mechanical Engineers, Virtual, Online, 2020. https://doi.org/10.1115/MSEC2020-8528.
- M.A. Ablat, A. Qattawi, M.S. Jaman, A. Alafaghani, C. Yau, M. Soshi, J.-Q. Sun, An experimental and analytical model for force prediction in sheet metal forming process using perforated sheet and origami principles, Procedia Manuf. 48 (2020) 407–418. https://doi.org/10.1016/j.promfg.2020.05.063.
- A. Alafaghani, A. Qattawi, M.S. Jaman, M.A. Ablat, Microstructure and mechanical properties of direct metal laser–sintered 15-5PH steel with different solution annealing heat treatments, Int. J. Adv. Manuf. Technol. 105 (2019) 3499–3520. https://doi.org/10.1007/s00170-019-04404-8.
- A. Qattawi, D. Ulutan, A. Alafaghani, Prediction of Mechanical Properties of Direct Metal Laser Sintered 15-5PH Steel Parts Using Bayesian Inference: A Preliminary Study, in: Vol. 2 Process. Mater., American Society of Mechanical Engineers, 2019. https://doi.org/10.1115/MSEC2019-3052.
- A. Qattawi, A. Alafaghani, M.A. Ablat, M.S. Jaman, A multidisciplinary engineering capstone design course: A case study for design-based approach, Int. J. Mech. Eng. Educ. (2019) 030641901988262. https://doi.org/10.1177/0306419019882622.
- A. Alafaghani, A. Qattawi, M.A.G. Castañón, Effect of manufacturing parameters on the microstructure and mechanical properties of metal laser sintering parts of precipitate hardenable metals, Int. J. Adv. Manuf. Technol. 99 (2018) 2491–2507. https://doi.org/10.1007/s00170-018-2586-5.
- A. Alafaghani, A. Qattawi, Investigating the effect of fused deposition modeling processing parameters using Taguchi design of experiment method, J. Manuf. Process. 36 (2018) 164–174. https://doi.org/10.1016/j.jmapro.2018.09.025.
- A. Alafaghani, A. Qattawi, M.A. Ablat, Design Consideration for Additive Manufacturing: Fused Deposition Modelling, Open J. Appl. Sci. 07 (2017) 291–318. https://doi.org/10.4236/ojapps.2017.76024.
- A. Alafaghani, A. Qattawi, B. Alrawi, A. Guzman, Experimental Optimization of Fused Deposition Modelling Processing Parameters: A Design-for-Manufacturing Approach, Procedia Manuf. 10 (2017) 791–803. https://doi.org/10.1016/j.promfg.2017.07.079.