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Orion Kafka

Mechanical Engineer

Dr. Orion Landauer Kafka is an NRC Postdoc in the Applied Chemicals and Materials Division of the Material Measurement Laboratory (MML) at the National Institute of Standards and Technology (NIST) in Boulder, Colorado.

I am broadly interested in both computational and experimental mechanics, specifically for solids. My PhD work at Northwestern University (defended in 2019) explored development of new computational methods and integrating computational and experimental data to understand the deformation behavior of metals mostly using x-ray computed tomography and computational crystal plasticity (CP), including integration of CP with a new reduced order modeling method developed in parallel which enables orders-of-magnitude decrease in computation expense. The new method was termed crystal plasticity self-consistent clustering analysis and first applied to fatigue prediction in NiTi [1,2].

The primary application of the work that I have done is in additively manufactured (or 3D printed) metals, where fatigue and fracture are to open challenges severely limiting broader application of these techniques. In my PhD work, we developed integrated process-structure-properties-performance methods for additive manufacturing [3], incorporating the solid mechanics predictions with processing and microstructure development models. My culminating work in additive manufacture while at Northwestern was to include imaged microstructural defects (pores) in a multiscale model for fracture and fatigue initiation [4]. At Northwestern we were also working extensively on development of several different data-driven techniques, exploring how machine learning (including neural networks) can be applied in mechanics, e.g [5].

My primary project as a postdoc will be in constructing integrated experimental measurements and computational predictions to understand the complex interactions between surface roughness, porosity, and grain structure that (perhaps) have a role in the highly scattered and fatigue lives of AM metals reported in the literature. Through this work I am interacting closely with the Fatigue and Fracture Group.

I am always interested in exploring new topics, especially those where my expertise (and models) could be helpful.

My twin brother, Alexander Landauer, is also an NRC postdoc in MML (in MD). We are often mistaken upon visual inspection, so this is mostly here as warning.

 

[1] Zeliang Liu, Orion L. Kafka, Cheng Yu, Wing Kam Liu. “Data-driven self-consistent clustering analysis of heterogeneous materials with crystal plasticity.” Advances in Computational Plasticity – Book in the Honor of the 70th Birthday of Roger Owen. DOI: 10.1007/978-3-319-60885-3_11

[2] Orion L. Kafka, Cheng Yu, Modesar Shakoor, Zeliang Liu, Gregory J. Wagner, Wing Kam Liu. “Data-driven mechanistic modeling of influence of microstructure on high-cycle fatigue life of nickel titanium.” JOM. DOI: 10.1007/s11837-018-2868-2

[3] Wentao Yan*, Yanping Lian*, Cheng Yu*, Orion L. Kafka*, Zeliang Liu, Wing Kam Liu, Gregory J. Wagner. “An integrated process-structure-property modeling framework for additive manufacturing.” Computer Methods in Applied Mathematics and Engineering. *These authors contribute equally. DOI: 10.1016/j.cma.2018.05.004

[4] Orion L. Kafka, Kevontrez K. Jones, Cheng Yu, Puikei Cheng, Wing Kam Liu, Image-based multiscale modeling with spatially varying microstructures from experiments: demonstration with additively manufactured metal in fatigue and fracture.” Under review at Additive Manufacturing.

[5] Hengyang Li*, Orion L. Kafka*, Jiaying Gao*, Cheng Yu, Yinghao Nie, Lei Zhang, Mahsa Tajdari, Shan Tang, Xu Guo, Gang Li, Shaoqiang Tang, Gengdong Cheng, Wing Kam Liu. Clustering discretization methods for generation of material performance databases in machine learning and design optimization. Computational Mechanics. *These authors contribute equally. DOI: 10.1007/s00466-019-01716-0

Created March 19, 2020, Updated May 12, 2020