Mohammad Elahinia

Associate Professor Ahu Çelebi has been serving as a researcher collaborator at University of Toledo and Elahinia Lab. Dr. Çelebi has been a faculty member at Manisa Celal Bayar University in the Department of Metallurgical and Materials Engineering since 2015. In this role, she has significantly contributed to both teaching and research, offering a diverse array of courses, including Additive Manufacturing and Metal Additive Manufacturing through Powder Bed Systems. She completed a PhD in Ceramic Engineering. Beyond her work at Manisa Celal Bayar University, Dr. Çelebi expanded her research horizons by collaborating with the Commonwealth Innovation Center (CSIRO) - Lab 22 in Australia, where she was invited as a visiting scientist from 2018 to 2019. Her primary research focus lies in metal additive manufacturing technologies. Her work predominantly revolves around the exploration of microstructure, mechanical, corrosion and wear properties in Ni-Ti alloys, Ti-Ta alloys, AlSi10Mg alloy, and Inconel series materials, following their production through powder bed systems like SLM (Selective Laser Melting) and EBM (Electron Beam Melting). Moreover, her studies extend to the characterization of glass and ceramic materials by produced additive manufacturing.

As a Research Assistant at Dr. Elahinia's Lab, I am engaged in simulating Nickel-Titanium alloys for additive manufacturing, focusing on Laser Powder Bed Fusion and Directed Energy Deposition. My work involves using Thermo-Calc for predicting material properties and Flow3D for analyzing melt-pool behavior, a key process in manufacturing. Recognized twice with TA awards, I am committed to both research and academic excellence.

I am a Ph.D. candidate in Prof.Elahinia’s research group, focusing on the additive manufacturing of NiTi and iron-based shape memory alloys using laser powder bed fusion (LPBF).  My research delves into the process-structure-property relationships of LPBF-based SMA, leveraging process optimization integrated with advanced testing and characterization techniques to enhance their manufacturability, repeatability, and functionality. With extensive experience in the LPBF technique, I also specialize in materials preparation and testing/characterization techniques, including nanoindentation, Vickers hardness, PIP, tensile/compression testing, in-situ thermal monitoring, DIC, DSC, XRD, SEM, EDX, and optical microscopy. I serve as a reviewer for the Additive Manufacturing Journal, JOM, and the International Journal of Lightweight Materials and Manufacture. I have received the Graduate Student Recognition Certificate for Excellence in Research and Scholarship and the Research Mentor Award for guiding the students and promoting a culture of research excellence at the Engineering College. 

I am a PhD student at the University of Toledo, working in Dr. Elahinia’s Laboratory on additive manufacturing processes with a focus on shape memory alloys. With a background in materials science and metallurgy (BSc and MSc), my current research centers on Binder Jetting and Re-Powder systems for producing NiTiCu shape memory alloys. I am particularly investigating the elastocaloric properties of these materials, aiming to advance their applications in innovative technologies.

As a Ph.D. candidate at the University of Toledo, I am at the forefront of innovative research, leading the modeling team at Elahinia’s Laboratory. My primary focus lies in multi-scale, multi-physics modeling of smart materials produced through laser powder bed fusion. My expertise extends to metallic components, with a strong foundation in mechanical testing. My work involves optimizing process parameters to minimize defects and assess residual stress, ultimately striving for enhanced performance. I blend experimental and computational techniques to push the boundaries of AM possibilities. 

My research focuses on the ultrasonic fatigue of NiTi. I completed his Master’s Degree in the summer of 2019, and my research then focused on actuation training and its effects on the actuation fatigue of NiTi-shaped memory wires. I am experienced at following software: SolidWorks, MATLAB, MINITAB and  Shimadzu Ultrasonic Fatigue Software (USF)

My research focuses on gaining a comprehensive understanding of the intricate relationship between the structure, process, and properties of superelastic nickel-titanium (NiTi) alloys, specifically those produced through laser powder bed fusion and laser direct energy deposition techniques. At present, my primary area of investigation centers on unraveling the impact of scan strategy parameters, particularly rotation angles, on the microstructural characteristics and superelastic behavior of NiTi alloys fabricated via laser powder bed fusion. The insights derived from this research endeavor will play a pivotal role in facilitating the design of functional materials with predictable and tailored properties. By delving into these aspects, I aim to contribute to advancements in material science, particularly in the realm of NiTi alloys, enabling their utilization in various applications and industries.

I am Saeedeh Vanaei, a PhD student in Mechanical engineering at University of Toledo. I have background in materials science and engineering. In her master studies, she worked on the processing and characterization of polymers by conventional (rotational molding) and additive manufacturing (FDM/FFF) techniques. In my PhD studies, I work on additive manufacturing of shape memory alloys (SMAs), and NiTi-based SMAs in particular, for biomedical applications. My focus is on the thermomechanical behavior, microstructure evolution, and texture of SMAs produced by laser powder bed fusion technique.