Available Technologies
# of Displayed Technologies: 9 / 9
Applied Category Filter (Click To Remove): Algorithms
Three-dimensional cellular automation codes for solidification microstructure and porosity simulation of multi-component alloys
TS-063911 —
Porosity formation during the solidification of aluminum-based alloys, induced by hydrogen gas and alloy shrinkage, presents a significant challenge for industries relying on high-performance solidification products such as castings, welds, and additively manufactured components. This issue advers…
- College: College of Engineering (COE)
- Inventors: Luo, Alan; Gu, Cheng
- Licensing Officer: Zinn, Ryan
Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
- College: College of Engineering (COE)
- Inventors: Kumar, Mrinal; Yang, Chao "Chao"
- Licensing Officer: Zinn, Ryan
Process Monitoring of Internal Temperature Distribution of Powder Bed Fusion Parts
TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient of Powder Bed Fusion parts for enhanced process monitoring and control.
Powder Bed Fusion (PBF) is a subset of additive manufacturing processes that performs a layer-by-layer fabrication of metal components by selectively melting metal powder disbursed over the earlier layer. PBF processes encompass methods such as selective laser sintering (SLS), direct metal laser s…
- College: College of Engineering (COE)
- Inventors: Wood, Nathaniel; Hoelzle, David
- Licensing Officer: Zinn, Ryan
Emergency Response Tool for Industrial Facilities
TS-041844 — Artificial intelligence software for making risk-informed decisions to prevent and mitigate emergencies.
No solutions exist for predicting the likelihood of future undesirable consequences across various industrial settings. The lack of these solutions subjects personnel, the public, and the environment to potentially catastrophic consequences.
Essential services such as power plants, pump stations,…
- College: College of Engineering (COE)
- Inventors: Yilmaz, Alper; Ajam Gard, Nima; Aldemir, Tunc; Denning, Richard; Lee, Ji Hyun
- Licensing Officer: Zinn, Ryan
Learning Optimal Empirical Reward iNtelligence (LOERN) with Cyber Maintenance Applications
TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.
As the world becomes more and more connected, our systems become more and more vulnerable. If cyber security can become more automated, risk-based decisions can be made more quickly and rationally. Organizations can then leverage this decision-making to improve their security without increasing co…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore "Ted"; Hou, Chengjun
- Licensing Officer: Zinn, Ryan
DG-WAVE: A Discontinuous Galerkin (DG) Finite Element-Based Wave Model
TS-039058 — DGWAVE is a simple and efficient (finite element-based) wave modeling software package for simulating wind-driven waves in marine environments. Model input, execution and visualization of output, which includes time series of significant wave heights, are handled through an easy-to-use graphical user interface (GUI).
There are many applications that require studying wind-driven waves in marine environments. Modeling waves is a necessary tool to study these specific results, because a model allows for the researcher to be in a different location from the body of water, as well as control all of the potential va…
- College: College of Engineering (COE)
- Inventors: Kubatko, Ethan; Nappi, Angela; West, Dustin
- Licensing Officer: Zinn, Ryan
Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR)
TS-039030 — The Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR) automated modeling technique creates high quality periodic meshes for modeling materials with complex microstructures.
Development of models for materials with complex microstructures is time consuming and expensive. Also, different commercial modeling software tools have various standards, which makes importing and exporting between modeling systems problematic and difficult.
Dr. Soheil Soghrati at The Ohio St…
- College: College of Engineering (COE)
- Inventors: Soghrati, Soheil
- Licensing Officer: Zinn, Ryan
DIAMOND
TS-037930 — Data-Driven Inspection, Alerts, Maintenance, Observable Network Decision Control System with Cyber Action Taker to Address Less Inspected Hosts Including Cell Phones
Cyber security is an important facet of many major corporations and government entities. The implementation of effective cyber security protocols is an arduous process because the most targeted individuals, C-suite and boardroom level personnel, understand the protocols the least. A lack of adhere…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore "Ted"; RoyChowdhury, Sayak
- Licensing Officer: Zinn, Ryan
Subject Matter Expert Refined Topic Models
TS-015175 — Human-Assisted Modeling (HAM), Subject Matter Expert Refined Models (SMERM), and Subject Matter Expert Refined Topic (SMERT) Models.
Currently, unstructured data represents up to 80% of the data within an organization. This means the traditional data, such as sales figures or other statistics, are separated into different documents without a meaningful and effective way to aggregate the data. Due to this there is now an opportu…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore "Ted"; Xiong, Hui
- Licensing Officer: Zinn, Ryan
