Real Parts Tested Virtually


We aim for this to be a comprehensive list of publications in the field of IBSim with a particular focus on relevance to the industrial sector. This may include technique development or applications of IBSim. If you know of any other appropriate publications to add to this list, please email  the details to

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Mathur, V.P., Atif, M., Duggal, I., Tewari, N., Duggal, R. and Chawla, A. (2022), "Reporting guidelines for in-silico studies using finite element analysis in medicine (RIFEM)", Computer Methods and Programs in Biomedicine, Vol. 216, p. 106675. Cite
du Plessis, A. and Broeckhoven, C. (2022), "Chapter 10 - Functional synergy of biomimicry and additive manufacturing: Toward a bio-enhanced engineering approach", in Eggermont, M., Shyam, V. and Hepp, A.F. (Eds.), Biomimicry for Materials, Design and Habitats, Elsevier, pp. 269–289. Cite
Mostafaei, A., Zhao, C., He, Y., Reza Ghiaasiaan, S., Shi, B., Shao, S., Shamsaei, N., et al. (2022), "Defects and anomalies in powder bed fusion metal additive manufacturing", Current Opinion in Solid State and Materials Science, Vol. 26 No. 2, p. 100974. Cite
Swaminathan Gopalan, K., Borner, A., Ferguson, J.C., Panerai, F., Mansour, N.N. and Stephani, K.A. (2022), "Gas–surface interactions in lightweight fibrous carbon materials", Computational Materials Science, Vol. 205, p. 111190. Cite
Ferguson, J.C., Borner, A., Panerai, F., Close, S. and Mansour, N.N. (2022), "Continuum to rarefied diffusive tortuosity factors in porous media from X-ray microtomography", Computational Materials Science, Vol. 203, p. 111030. Cite
Lim, H.J., Choi, H. and Yun, G.J. (2022), "Multiscale failure and damage analysis of sheet molding compound (SMC) composites using Micro-CT image-based reconstruction model", Composites Part B: Engineering, Vol. 231, p. 109593. Cite
Jin, C., Feng, Y., Yang, X., Liu, P., Ding, Z. and Oeser, M. (2022), "Virtual design of asphalt mixtures using a growth and contact model based on realistic aggregates", Construction and Building Materials, Vol. 320, p. 126322. Cite
Wang, X., Zhao, L., Fuh, J.Y.H. and Lee, H.P. (2022), "Effects of statistical pore characteristics on mechanical performance of selective laser melted parts: X-ray computed tomography and micromechanical modeling", Materials Science and Engineering: A, Vol. 834, p. 142515. Cite
Singh, A.K., Srivastava, P.K., Kumar, N. and Mahajan, P. (2022), "A fabric tensor based small strain constitutive law for the elastoplastic behavior of snow", Mechanics of Materials, Vol. 165, p. 104182. Cite
Liu, P., Wang, C., Yang, S., Jiao, Y., Li, X., Li, H., Zhang, Y., et al. (2022), "Coupled influence of pore defects on the failure site for high-speed railway gearbox material", Engineering Fracture Mechanics, Vol. 261, p. 108216. Cite
Watring, D.S., Benzing, J.T., Kafka, O.L., Liew, L.-A., Moser, N.H., Erickson, J., Hrabe, N., et al. (2022), "Evaluation of a modified void descriptor function to uniquely characterize pore networks and predict fracture-related properties in additively manufactured metals", Acta Materialia, Vol. 223, p. 117464. Cite
Carlton, H.D., Volkoff-Shoemaker, N.A., Messner, M.C., Barton, N.R. and Kumar, M. (2022), "Incorporating defects into model predictions of metal lattice-structured materials", Materials Science and Engineering: A, Vol. 832, p. 142427. Cite
Kelly, E.S., Worsley, P.R., Bowen, C.J., Cherry, L.S., Keenan, B.E., Edwards, C.J., O'Brien, N., et al. (2021), "Predicting Forefoot-Orthosis Interactions in Rheumatoid Arthritis Using Computational Modelling", Frontiers in Bioengineering and Biotechnology, Vol. 9, p. 803725. Cite
Nudelis, N. and Mayr, P. (2021), "A Novel Classification Method for Pores in Laser Powder Bed Fusion", Metals, Vol. 11 No. 12, p. 1912. Cite
Blakey-Milner, B., Gradl, P., Snedden, G., Brooks, M., Pitot, J., Lopez, E., Leary, M., et al. (2021), "Metal additive manufacturing in aerospace: A review", Materials & Design, Vol. 209, p. 110008. Cite
Warr, R., Ametova, E., Cernik, R.J., Fardell, G., Handschuh, S., Jørgensen, J.S., Papoutsellis, E., et al. (2021), "Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction", Scientific Reports, Vol. 11 No. 1, p. 20818. Cite
Wang, A.A., O'Kane, S.E.J., Planella, F.B., Houx, J.L., O'Regan, K., Zyskin, M., Edge, J., et al. (2021), "Parameterising continuum level Li-ion battery models & the LiionDB database", ArXiv:2110.09879 [Physics], available at: (accessed 14 March 2022). Cite
Baroroh, D.K., Chu, C.-H. and Wang, L. (2021), "Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence", Journal of Manufacturing Systems, Vol. 61, pp. 696–711. Cite
Kim, H.-T., Razakamandimby R., D.F.T., Szilágyi, V., Kis, Z., Szentmiklósi, L., Glinicki, M.A. and Park, K. (2021), "Reconstruction of concrete microstructure using complementarity of X-ray and neutron tomography", Cement and Concrete Research, Vol. 148, p. 106540. Cite
Barkaoui, A., Ait Oumghar, I. and Ben Kahla, R. (2021), "Review on the use of medical imaging in orthopedic biomechanics: finite element studies", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol. 9 No. 5, pp. 535–554. Cite
Brachetta-Aporta, N. and Toro-Ibacache, V. (2021), "Differences in masticatory loads impact facial bone surface remodeling in an archaeological sample of South American individuals", Journal of Archaeological Science: Reports, Vol. 38, p. 103034. Cite
Minniti, T., Schoofs, F., Evans, L.M., Kockelmann, W., You, J.-H. and Lewtas, H. (2021), "Structural integrity of DEMO divertor target assessed by neutron tomography", Fusion Engineering and Design, Vol. 169, p. 112661. Cite
Minniti, T., Schoofs, F., Evans, L.M., Kockelmann, W., You, J.-H. and Lewtas, H. (2021), "Structural integrity of DEMO divertor target assessed by neutron tomography", Fusion Engineering and Design, Vol. 169, p. 112661. Cite
Chen, Y., Kang, Y., Zhao, Y., Wang, L., Liu, J., Li, Y., Liang, Z., et al. (2021), "A review of lithium-ion battery safety concerns: The issues, strategies, and testing standards", Journal of Energy Chemistry, Vol. 59, pp. 83–99. Cite
Ezhov, M., Gusarev, M., Golitsyna, M., Yates, J.M., Kushnerev, E., Tamimi, D., Aksoy, S., et al. (2021), "Clinically applicable artificial intelligence system for dental diagnosis with CBCT", Scientific Reports, Vol. 11 No. 1, p. 15006. Cite
Modenese, L., Barzan, M. and Carty, C.P. (2021), "Dependency of lower limb joint reaction forces on femoral version", Gait & Posture, Vol. 88, pp. 318–321. Cite
Du, W., Iacoviello, F., Fernandez, T., Loureiro, R., Brett, D.J.L. and Shearing, P.R. (2021), "Microstructure analysis and image-based modelling of face masks for COVID-19 virus protection", Communications Materials, Vol. 2 No. 1, pp. 1–10. Cite
Oefner, C., Herrmann, S., Kebbach, M., Lange, H.-E., Kluess, D. and Woiczinski, M. (2021), "Reporting checklist for verification and validation of finite element analysis in orthopedic and trauma biomechanics", Medical Engineering & Physics, Vol. 92, pp. 25–32. Cite
Karniadakis, G.E., Kevrekidis, I.G., Lu, L., Perdikaris, P., Wang, S. and Yang, L. (2021), "Physics-informed machine learning", Nature Reviews Physics, Vol. 3 No. 6, pp. 422–440. Cite
Hensley, C., Sisco, K., Beauchamp, S., Godfrey, A., Rezayat, H., McFalls, T., Galicki, D., et al. (2021), "Qualification pathways for additively manufactured components for nuclear applications", Journal of Nuclear Materials, Vol. 548, p. 152846. Cite
Le Houx, J. and Kramer, D. (2021), "X-ray tomography for lithium ion battery electrode characterisation — A review", Energy Reports, Vol. 7, pp. 9–14. Cite
Benedetti, M., du Plessis, A., Ritchie, R.O., Dallago, M., Razavi, S.M.J. and Berto, F. (2021), "Architected cellular materials: A review on their mechanical properties towards fatigue-tolerant design and fabrication", Materials Science and Engineering: R: Reports, Vol. 144, p. 100606. Cite
Shoukroun, D., Massimi, L., Endrizzi, M., Bate, D., Fromme, P. and Olivo, A. (2021), "Composite porosity characterization using x-ray edge illumination phase contrast and ultrasonic techniques", Health Monitoring of Structural and Biological Systems XV, Vol. 11593, presented at the Health Monitoring of Structural and Biological Systems XV, SPIE, pp. 505–512. Cite
Rathore, J.S. and Saxena, P. (2021), "Non-destructive quality assessment of bio-engineering parts using Industrial Micro X-ray Computed Tomography: A review", Materials Letters, Vol. 287, p. 129252. Cite
Tran, K.V., Woracek, R., Kardjilov, N., Markötter, H., Hilger, A., Kockelmann, W., Kelleher, J., et al. (2021), "Spectral neutron tomography", Materials Today Advances, Vol. 9, p. 100132. Cite
Withers, P.J., Bouman, C., Carmignato, S., Cnudde, V., Grimaldi, D., Hagen, C.K., Maire, E., et al. (2021), "X-ray computed tomography", Nature Reviews Methods Primers, Vol. 1 No. 1, pp. 1–21. Cite
Fathiannasab, H., Zhu, L. and Chen, Z. (2021), "Chemo-mechanical modeling of stress evolution in all-solid-state lithium-ion batteries using synchrotron transmission X-ray microscopy tomography", Journal of Power Sources, Vol. 483, p. 229028. Cite
Salmi, M. (2021), "Additive Manufacturing Processes in Medical Applications", Materials, Vol. 14 No. 1, p. 191. Cite
Olisa, S.C., Khan, M.A. and Starr, A. (2021), "Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions", Sensors, Vol. 21 No. 3, p. 811. Cite
Dot, G., Licha, R., Goussard, F. and Sansalone, V. (2021), "A new protocol to accurately track long–term orthodontic tooth movement and support patient-specific numerical modeling", Journal of Biomechanics, Vol. 129, p. 110760. Cite
Siroky, G., Kraker, E., Kieslinger, D., Kozeschnik, E. and Ecker, W. (2021), "Simulation and experimental characterization of microporosity during solidification in Sn-Bi alloys", Materials & Design, Vol. 212, p. 110258. Cite
Dongxing, D., Xu, Z., Chunhao, W., Jiaqi, L., Yinjie, S. and Yingge, L. (2021), "Determination of the effective thermal conductivity of the porous media based on digital rock physics", Geothermics, Vol. 97, p. 102267. Cite
Yavari, R., Riensche, A., Tekerek, E., Jacquemetton, L., Halliday, H., Vandever, M., Tenequer, A., et al. (2021), "Digitally twinned additive manufacturing: Detecting flaws in laser powder bed fusion by combining thermal simulations with in-situ meltpool sensor data", Materials & Design, Vol. 211, p. 110167. Cite
Stokes, C., Bonfanti, M., Li, Z., Xiong, J., Chen, D., Balabani, S. and Díaz-Zuccarini, V. (2021), "A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics", Journal of Biomechanics, Vol. 129, p. 110793. Cite
Tembely, M., AlSumaiti, A.M. and Alameri, W.S. (2021), "Machine and deep learning for estimating the permeability of complex carbonate rock from X-ray micro-computed tomography", Energy Reports, Vol. 7, pp. 1460–1472. Cite
Naragani, D., Shade, P., Musinski, W., Boyce, D., Obstalecki, M., Pagan, D., Bernier, J., et al. (2021), "Interpretation of intragranular strain fields in high-energy synchrotron X-ray experiments via finite element simulations and analysis of incompatible deformation", Materials & Design, Vol. 210, p. 110053. Cite
Tee, Y.L., Maconachie, T., Pille, P., Leary, M., Do, T. and Tran, P. (2021), "From nature to additive manufacturing: Biomimicry of porcupine quill", Materials & Design, Vol. 210, p. 110041. Cite
Burden, E., Oh, Y., Mummareddy, B., Negro, D., Cortes, P., Du Plessis, A., MacDonald, E., et al. (2021), "Unit cell estimation of volumetrically-varying permittivity in additively-manufactured ceramic lattices with X-ray computed tomography", Materials & Design, Vol. 210, p. 110032. Cite
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