Outputs (5)

Fully rationalized Tsai-Wu failure criterion for transversely isotropic materials (2022)
Book Chapter
Li, S. (2022). Fully rationalized Tsai-Wu failure criterion for transversely isotropic materials. In S. W. Tsaï (Ed.), Double-Double: a new perspective in the manufacture and design of composites (173-206). Stanford & JEC

By examining the quadratic function of the original Tsai-Wu failure criterion for transversely isotropic materials from the perspective of analytic geometry, two of the troublesome coefficients associated with the interactive terms, one describing in... Read More about Fully rationalized Tsai-Wu failure criterion for transversely isotropic materials.

Fluidic circuits as a kinetic system for modulation of multiple hot spots as a thermally functional reactor (2022)
Presentation / Conference Contribution
Alston, M., & Barber, R. (2022). Fluidic circuits as a kinetic system for modulation of multiple hot spots as a thermally functional reactor. TechConnect Briefs, 2022, 29-32

The challenge in material science is our ability to evaluate heat flow within a material and monitor temperature with time. This research studies fluidic geometry aligned to elevated temperatures for enhanced cooling to specific multiple hot spot reg... Read More about Fluidic circuits as a kinetic system for modulation of multiple hot spots as a thermally functional reactor.

PySLM - Python Library for Selective Laser Melting and Additive Manufacturing (2023)
Digital Artefact
Parry, L. PySLM - Python Library for Selective Laser Melting and Additive Manufacturing. [Software]

PySLM is a Python library for supporting development of input files used in Additive Manufacturing or 3D Printing, in particular Selective Laser Melting (SLM), Direct Metal Laser Sintering (DMLS) platforms typically used in both academia and industry... Read More about PySLM - Python Library for Selective Laser Melting and Additive Manufacturing.

Additive manufacturing processes for metals (2023)
Book Chapter
Aboulkhair, N. T., Bosio, F., Gilani, N., Phutela, C., Hague, R. J., & Tuck, C. J. (2023). Additive manufacturing processes for metals. In Quality Analysis of Additively Manufactured Metals: Simulation Approaches, Processes, and Microstructure Properties (201-258). Elsevier. https://doi.org/10.1016/b978-0-323-88664-2.00016-6

Additive manufacturing (AM) processes are a family of net-shaped manufacturing systems that are widely being used and adopted for their distinctive characteristics. Recently, AM processes have positioned themselves to be worthy of playing a role in r... Read More about Additive manufacturing processes for metals.

Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor (2024)
Presentation / Conference Contribution
MARTINEZ ARELLANO, G. (2024, June). Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor. Paper presented at FAIM 2024, Taichung, Taiwan

Artificial Intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection a... Read More about Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor.