Iris V. Rivero
Rochester Institute of Technology
53 Papers
94 Citations
Iris V. Rivero is an academic researcher from Rochester Institute of Technology. The author has contributed to research in topics: Residual stress & Polyglycolide. The author has an hindex of 13, co-authored 46 publications. Previous affiliations of Iris V. Rivero include Texas Tech University Health Sciences Center & Iowa State University.
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Papers
Three-dimensional bioprinting using self-Assembling scalable scaffold-free "tissue strands" as a new bioink
Yin Yu,Kazim K. Moncal,Jianqiang Li,Weijie Peng,Iris V. Rivero,James A. Martin,Ibrahim T. Ozbolat +6 more
TL;DR: Near 8 cm-long tissue strands with rapid fusion and self-assemble capabilities are bioprinted in solid form for the first time without any need for a scaffold or a mold support or a liquid delivery medium, and facilitated native-like scale-up tissues.
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Extrusion bioprinting: Recent progress, challenges, and future opportunities
Srikanthan Ramesh,Ola L. A. Harrysson,Prahalad K. Rao,Ali Tamayol,Denis Cormier,Yunbo Zhang,Iris V. Rivero +6 more
TL;DR: This review highlights the role of rheology and process parameters in extrusion bioprinting and discusses qualitative and quantitative methods proposed to measure and define the printability of bioinks.
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Electrospinning of polymer nanofibers loaded with noncovalently functionalized graphene
Sriya Das,Ahmed S. Wajid,Sanjoy K. Bhattacharia,Michael D. Wilting,Iris V. Rivero,Micah J. Green +5 more
TL;DR: In this article, the authors examined the relationship between graphene loading and critical electrospinning parameters and found that the graphene significantly increases the fibers' thermal stability (increase of 15°C and crystallinity (59% increase) above the baseline.
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An influence diagram approach to automating lead time estimation in Agile Kanban project management
TL;DR: An influence diagram based expert system is developed and populated with data from a practicing Kanban team and used to generate a cumulative distribution function to facilitate the communication of probabilistic estimates and assist Kanban teams’ stakeholder communication and reduce estimation workload through a more holistic model of lead times.
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An investigation of the residual stress characterization and relaxation in peened friction stir welded aluminum–lithium alloy joints
TL;DR: In this paper, the residual stresses generated from friction stir welded (FSW) 2195 aluminum-lithium alloy joints were characterized and the results derived from this research revealed significant levels of tensile residual stresses at the surface and throughout the thickness of the FSW samples.
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