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Full-Text Articles in Engineering
Optimizing The Performance Of Complex Engineering Systems Aided By Artificial Neural Networks, Khalil Qatu
Optimizing The Performance Of Complex Engineering Systems Aided By Artificial Neural Networks, Khalil Qatu
Electronic Theses and Dissertations
In the first problem Polyetherimide graphene nanoplatelets papers (PEIGNP) were tested with different graphene loadings varying from 0-97 weight percent (WT%). The resulting stress-strain curves were utilized to develop two ANN models. Stress-controlled and strain-controlled models. Both models shoan excellent correlation to the experimental. Several Mechanical properties were calculated from the predicted stress-strain curves namely; toughness maximum strength maximum strain and maximum tangent modulus. Both models captured the same overall behavior of the PEIGNP composite. However the strain-controlled model was found to predict lower stress than the stress-controlled model. Finally a Graphical User Interface (GUI) was developed to aid in …
Artificial Intelligence In Wet Weather Infrastructure, Matt Hammerstein
Artificial Intelligence In Wet Weather Infrastructure, Matt Hammerstein
Williams Honors College, Honors Research Projects
Effective management of runoff from rain and snowmelt is critical as increased water flows can negatively affect efficiency and reliability at treatment facilities, as well as potentially damage property or the natural environment. Implementation of artificial intelligence for real-time decision making and support in wet weather infrastructure is a recent technological development; as such, a problem has emerged: experience and knowledge of best practices for successful implementation is limited. Artificial intelligence is being employed to inform operational decisions that are intended to improve the efficiency and reliability of physical wet weather infrastructure. The goal of municipalities and utilities in utilizing …
Artificial Intelligence In Wastewater Treatment Facilities: Implementing Practical New Technologies For The End User, Jordan Spano
Artificial Intelligence In Wastewater Treatment Facilities: Implementing Practical New Technologies For The End User, Jordan Spano
Williams Honors College, Honors Research Projects
Design phase operator input can prove useful; however, it is not essential in every application, as Akron’s treatment plant implemented AI to increase treatment capacity without design-phase operator input. They implemented a system flight simulator, a few hours training, and have communicated with the designer to make system tweaks as needed. In larger applications, the owner may benefit greatly by incorporating design input from operational staff. Those representing a municipality as a project owner for a treatment plant upgrade should always maintain an active role in the design of smart water infrastructure. They must keep the operators in mind when …