Zhang, P., Kohar, C. P., Brahme, A. P., Choi, S.-H., Mishra, R. K., & Inal, K. (2021). A crystal plasticity formulation for simulating the formability of a transformation induced plasticity steel Journal of Materials Processing Technology, 287, 116493.
References
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2021
Schöttl, L., Weidenmann, K. A., Sabiston, T., Inal, K., & Elsner, P. (2021). Fiber bundle tracking method to analyze sheet molding compound microstructure based on computed tomography images NDT & E International, 117, 102370.
Muhammad, W., Brahme, A. P., Ibragimova, O., Kang, J., & Inal, K. (2021). A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys International Journal of Plasticity, 136, 102867.
2020
Paudel, Y., Indeck, J., Hazeli, K., Priddy, M. W., Inal, K., Rhee, H., … Kadiri, H. E. (2020). Characterization and modeling of $$101\= 2$$ twin banding in magnesium Acta Materialia, 183, 438-451.
Connolly, D. S., Kohar, C. P., Muhammad, W., Hector, L. G. , Jr, Mishra, R. K., & Inal, K. (2020). A coupled thermomechanical crystal plasticity model applied to Quenched and Partitioned steel International Journal of Plasticity, 133, 102757.
Schöttl, L., Kolb, P., Liebig, W. , V, Weidenmann, K. A., Inal, K., & Elsner, P. (2020). Crack characterization of discontinuous fiber-reinforced composites by using micro-computed tomography: Cyclic in-situ testing, crack segmentation and crack volume fraction Composites Communications, 21, 100384.
Muhammad, W., Brahme, A., Kang, J., Cyr, E., Wilkinson, D., & Inal, K. (2020). A Method to Incorporate Grain Boundary Strength and its Effects on Plastic Deformation in FCC Polycrystals IOP Conference Series: Materials Science and Engineering, 967, 012026. IOP Publishing.
Sabat, R. K., Muhammad, W., Mishra, R. K., & Inal, K. (2020). Effect of microstructure on fracture in age hardenable Al alloys Philosophical Magazine, 100, 1476-1498.
Kohar, C. P., Connolly, D. S., Liusko, T., & Inal, K. (2020). Using Artificial Intelligence to Aid Vehicle Lightweighting in Crashworthiness with Aluminum MATEC Web of Conferences, 326, 01006. EDP Sciences.
Sabiston, T., Inal, K., & Lee-Sullivan, P. (2020). Application of Artificial Neural Networks to predict fibre orientation in long fibre compression moulded composite materials Composites Science and Technology, 190, 108034.