Mechanical and Aerospace Engineering publications and presentations (MU)
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Items in this collection are publication and presentations made by Department of Mechanical and Aerospace Engineering faculty, staff, and students, either alone or as co-authors. Some may have been published in an alternate format.
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Item Bandgap prediction by deep learning in configurationally hybridized graphene and boron nitride(Nature Publishing Group, 2019) Dong Y.; Wu C.; Zhang C.; Liu Y.; Cheng J.; Lin J.; Mechanical and Aerospace EngrIt is well-known that the atomic-scale and nano-scale configuration of dopants can play a crucial role in determining the electronic properties of materials. However, predicting such effects is challenging due to the large range of atomic configurations that are possible. Here, we present a case study of how deep learning algorithms can enable bandgap prediction in hybridized boron–nitrogen graphene with arbitrary supercell configurations. A material descriptor that enables correlation of structure and bandgap was developed for convolutional neural networks. Bandgaps calculated by ab initio calculations, and corresponding structures, were used as training datasets. The trained networks were then used to predict bandgaps of systems with various configurations. For 4 × 4 and 5 × 5 supercells they accurately predict bandgaps, with a R 2 of >90% and root-mean-square error of ~0.1 eV. The transfer learning was performed by leveraging data generated from small supercells to improve the prediction accuracy for 6 × 6 supercells. This work will pave a route to future investigation of configurationally hybridized graphene and other 2D materials. Moreover, given the ubiquitous existence of configurations in materials, this work may stimulate interest in applying deep learning algorithms for the configurational design of materials across different length scales.Item Double MRT thermal lattice Boltzmann method for simulating natural convection of low Prandtl number fluids(2015) Li, Zheng; Yang, Mo; Zhang, Yuwen; University of Missouri-Columbia. College of Engineering. Department of Mechanical and Aerospace Engineering.Purpose: The purposes of this paper are testing an efficiency algorithm based on LBM and using it to analyze two-dimensional natural convection with low Prandtl number. Design/methodology/approach: Steady state or oscillatory results are obtained using double multiple-relaxation-time thermal lattice Boltzmann method. The velocity and temperature fields are solved using D2Q9 and D2Q5 models, respectively. Findings: With different Rayleigh number, the tested natural convection can either achieve to steady state or oscillatory. With fixed Rayleigh number, lower Prandtl number leads to a weaker convection effect, longer oscillation period and higher oscillation amplitude for the cases reaching oscillatory solutions. At fixed Prandtl number, higher Rayleigh number leads to a more notable convection effect and longer oscillation period. Originality/value: Double multiple-relaxation-time thermal lattice Boltzmann method is applied to simulate the low Prandtl number (0.001 – 0.01) fluid natural convection. Rayleigh number and Prandtl number effects are also investigated when the natural convection results oscillate.Item Design of spill tube with features for controlling air bubble generated for aircraft applicaitons(2012) Rajab, Husam; Elgizawy, Ahmed; University of Missouri-Columbia. College of Engineering. Department of Mechanical and Aerospace Engineering.In this spill tube research paper, an analytical model is to be created of the distribution of pressure of the air trapped in the spill tube system, where fuel transfer from the sealed tank to the adjacent tanks occurs. This research is a part of a large fuel tank research project. A series of experiments were performed in order to characterize the flow of fluid in the entire spill tube with tubes of different diameters. The experiments were based on a test matrix, and results were kept in increasing order so as to obtain a simple conclusion. Also, trends can be drawn in the form of analytical models that were based on the equations obtained from fluid mechanics books. The experiments performed per spill tube were of two types: first, 0% downstream quantity was taken, and second, 50% downstream quantity was taken. An analytical model was developed using Simulink on the completion of the test matrix. The equations implemented in Simulink were compared with the experimental data so as to ensure the accuracy of the presentation. For various bell mouth geometries, the pressure was optimized with respect to the input flow of mass.Item Select Scenes from Noah D. Manring's Industrial Seminar for Engineers(2000) Manring, NoahThis video presents clips from Noah Manring's industrial seminar for engineers on hydraulic control systems.Item A State-Wide Effort to Promote Best Practices in Industrial Energy Efficiency in Missouri [abstract](2009) Wu, B. (Bin), 1957-; Khanna, Sanjeev K.; University of Missouri (System); Missouri Energy Summit (2009 : University of Missouri--Columbia)Missouri Industrial Assessment Center is funded by the U.S. Department of Energy's IAC program to provide services in energy efficiency for industries in the state. The aim is to promote best practices in energy efficiency, reusable energy, waste reduction and productivity through integration of activities involving the University, the state agencies, the University of Missouri Extension, the Manufacturing Extension Partnership program, the state-wide and local utilities and industrial associations. The energy audit and productivity assessment is offered to qualified small- to medium-sized manufacturing companies. The center carries out activities in research, education and outreach to: • Provide students with practical experience and training in energy engineering, by: i) providing hands-on training of industrial and productivity assessment skills; ii) establishing online materials aimed at increasing awareness to industrial energy efficiency and conservation, waste reduction, renewable energy and productivity. • Help small to medium-sized manufacturers improve energy efficiency, minimize waste and improve productivity, through: i) conducting energy audits for eligible industrial organizations in the state of Missouri and surrounding areas; ii) providing guidance to industrial organizations following the energy audits to meet or exceed the performance goal; iii) promoting interdisciplinary assessment teams of faculty, students and state energy managers and engineers. • Integrate the IAC program into other areas to create innovative approaches to delivering services, by: i) promoting best practice in industry by conducting outreach seminars and workshops in the state; ii) working with the center's partners to establish Missouri IAC as the center of resources and services for industries in the state and the surrounding areas; iii) utilizing the synergy resulting from its newt work of partnerships to offer and deliver a more comprehensive range services to small and medium manufacturers. Up to date, the center's services have covered many parts across the state of Missouri.