MME Research

• Ehlert (First Year Experience)

• Hamilton (Welding)
• Khan (Biocompatible polymers)
• Ye (Mechanics of nanomaterials)
• Zanjani (self-assembly, superstructures, nucleation and growth)

• Jahan(Micro and nano machining)
• Sidebottom(Tribology of Materials)
• Ye(Nanotribology, atomic friction)

• Corti (Micro and nano-electromechanical systems)
• She (Design theory and methodologies, Human-technology interactions)

• Hasan (Robot control; exoskeleton robots; drones)

• Cooper (Digital twin, machine learning)
• Corti (Control and automation, nanomaterials)
• Jahan (Additive manufacturing, EDM processes)
• Khan (Manufacturing processes)

• Cameron (Transmission systems, gears and clutches)
• Chagdes (Nonlinear dynamical systems, biomechanics)
• Koo (Smart materials)
• Tae (Space/time methods, nonlinear transient systems)

• Caraballo (Flow control, reduced order modeling)
• Dinc (CFD, droplet dynamics)
• Sommers (Air-side heat transfer, micro-fluids)
• Zanjani (micro/nanoscale heat transfer, phononics)

In order to further the capabilities of high performance aircraft, receptance based active aeroelastic control (AAC) strategies have been developed to eliminate flutter instabilities and to increase flutter boundaries in avoiding structural fatigue or potential failure. This method relies completely on frequency response functions obtained from embedded sensors and actuators along a given wing planform. It does not need accurate aeroelastic model for controller design and it has been shown to be effective for designing AAC for controlling desired aeroelastic modes.  In order to maximize the functionality of the single and multiple input AAC control by the available control surfaces, an optimization study of a given wing configuration is needed. This includes, but is not limited to, the sizing and placement of control surfaces, the number of needed control surfaces, and the optimal actuator parameters associated with the control surfaces.  The design parameters for the optimization studies considered for this study include the size of the individual control surfaces for the case of fixed/chosen number of control surfaces on the wing configuration, and the optimal number and location of control surfaces on a given wing configuration. The objective is to minimize the controller norms (control efforts required by the control surfaces) to extend the open loop flutter boundaries. Optimization process involved the developments of the controller with (i) unique control gain parameters for an entire flight envelope, (ii) capabilities of partial pole assignment to suppress the prescribed aeroelastic modes without influencing any other modes, and (iii) ability to incorporate actuator dynamics such that AAC can be implemented for wide range of actuators without the spill-over of actuator modes. A multivariate optimization problem is developed and various optimization strategies such as the genetic algorithm and multi-start gradient based approaches were used to estimate the optimal sizing and placement parameters for the control surfaces. Numerical optimization studies involving simplified wing models and a delta fighter wing model are investigated in demonstrating the effectiveness of the controller performance with the optimal control surface configurations.

The lifespan of the structural components deteriorate when they are subjected to vibration environment, leading to potential fatigue and failure. In these scenarios vibration control or isolation plays a major role in preventing failure and improving the product life. For example, in the field of rotordynamics, rotating components are naturally subjected to vibration, due to inherent unbalance in the rotor systems. There rotor systems such as motors, pumps and turbines are essential in transportation and energy industries.   In industry, during their operations the rotor system is subjected to range operating speeds (vibration environment) and they need to satisfy the industrial standard (limits) of acceptable vibration amplitude. The dynamics of these systems needs to be understood such that a better control strategy can be implemented to satisfy the safety standards and to avoid any potential catastrophic failure. Traditionally, passive and active control designs are implemented to minimize the undesirable vibration. In some cases, these methods may not be feasible, economical or practical. Therefore, the research objective of this project is to investigate a new mechanism for reducing, eliminating and/or controlling the vibration of a given structure, by oscillating the boundaries of the structure. The hypothesis is that by continuously moving the support position, the natural frequency of the system can be manipulated. This avoids the system to stay near the resonance and therefore not allow for the response to grow continuously reaching catastrophic levels. To investigate this approach, at first, a vibrating beam was investigated to understand the relationship between the natural frequency and the motion of the end support. By using associated discrete finite dimensional models, time and frequency domain analyses were carried and the results were compared with available analytical solutions for accuracy. This approach is further tested in complex rotor models, which are defined by large degrees of freedom and have speed dependent properties. The large rotordynamic systems subjected to oscillating boundaries are modeled in finite element framework and then solved numerically in modal co-ordinates. The relationship among the critical speeds of the rotors, frequency and amplitude of boundary (bearing) support and stability of the overall system is investigated. The parametric studies demonstrate that the overall vibration of the system can be minimized by prescribing the boundary (bearing) oscillation.

The idea of being able to travel at hypersonic velocities during atmospheric flight presents a near-infinite list of possibilities for the advancement of air travel. This includes the technology that will allow for the development of commercialized hypersonic flight as the first step towards routine commercial space flight. The types of vehicles that will be able to make these voyages will need to be specially engineered in order to withstand the environmental conditions in-flight without the structures of these vehicles being subjected to fatigue and failure during operation. The hypersonic aircraft design problem is a complex application of mechanical engineering that provides a unique challenge to most engineers.

The major reason that the hypersonic aircraft design problem is a complex application is that there are three main aspects of mechanical engineering integrated into the problem: structural mechanics, thermodynamics, and aerodynamics. These three aspects of design are heavily linked, and have a considerable effect each other. Additionally, all design aspects directly affect the structural response for a given set of flight conditions. For example, the thermal loading on the exterior of the aircraft cause by friction associated with the fluid flow can have a major effect on the structural response due to thermally-induced changes in the material properties.

The method that has been utilized by most of the literature currently available in this research area to examine these linked effects is the reduced order modeling technique. The use of these methods results in a modal system that is representative of the important modes in the physical model described by a system of coupled differential equations written in matrix form. The modal system is determined using decomposition methods that reduced the physical system from a larger dimension n to a smaller dimension r capturing only those modes of the system that are necessary to describe the response of the system. The resulting decoupled system of ordinary differential equations can then be solved to find the closed-form solutions to the original system by way of reversing the order of transformations used in the decomposition process. The main objective of this work is to, after developing a reduced-order model for both the structural and thermal loads on the structure, determine whether the structural and thermal reduced-order models of the system can interact in such a way that the total structural response is observable using the combined models.

Heat exchangers have seen widespread use in aerospace applications to properly manage aircraft and propulsion system heat loads. However, these heat exchangers are typically large (in terms of volume and weight relative to flowrate), non-conformal and costly to implement. There is motivation for heat exchangers to be better integrated into flow paths, both for packaging and performance improvements. Recent advances in additive manufacturing have presented the potential to create highly conformal and better optimized heat exchangers. These additively manufactured, flexible geometry heat exchangers have the potential to reduce pressure losses and increase thermal performance when compared to rectilinear, traditionally manufactured heat exchangers.

In this work, a computational tool was developed to predict the thermal-hydraulic performance of an annular two-pass, cross-counterflow heat exchanger. Area ruling was used to keep velocities nearly constant in the heat exchanger core. Computational tool outputs include heat transfer rate, outlet temperature, pressure loss characteristics, heat exchanger weight, and volume as a function of user-supplied geometric inputs. A brief optimization was performed across multiple mass flow rates to determine best designs. Pumping power and modified volume goodness were used to perform optimization. Using the geometries provided by the computational tool, a heat exchanger will be manufactured using additive techniques and tested across a range of conditions. The experimental results will help validate the computational tool.

Senior Design Project, MME 448/449, is a two-course sequence taken by MME seniors. The sequence allows students to research problems and apply their knowledge gained in their earlier years at Miami in such areas as engineering, science, humanities, and social sciences to solve these problems. The engineering design method is used to solve these problems. This method includes: recognizing a need, defining the problem, synthesis, analysis, evaluation, presentation, and implementation.

In the first course, MME 448, the students are presented with projects given by regional companies or other sources, such as the department faculty. They form small groups (typically 4 or 5 students), choose one project and spend the whole semester conducting literature and marketing research. The major part of this research is to identify constraints, such as customer needs, economical, societal, ethical and environmental; define the problem, and brainstorm and develop ideas.

These ideas are evaluated according to criteria the team develops. The best three are selected as proposals for the customer. At the end of this course, the students prepare a report to the customer that includes information about their research and details of their proposals.

In the second course, MME 449, the students meet with the customer and faculty advisors to evaluate their three proposals and select one to implement. Because engineering design is an iterative process, students find that some of their original ideas need to be reevaluated or re-worked. The students' final design solution is presented as a physical model (in the company or lab), computer simulation, or a combination of both.

1st Place: FSAE Accumulator

Team Members: Denver Johnson, Juan Moya, Alec Rod, Florence Xu, Jerry Xu, Yuchi Zhang

Advisor: Giancarlo Corti and Edgar Caraballo

2nd Place: Pollution Mitigation

Team Members: Sofi Avila, Owen Boff, Audra Fleming, Amanda Packard, Emari Smiley, Carly Wagoner

Advisor: Jeong-Hoi Koo and David Tae

3rd Place: Jet Cat

Team Members: Rhett Bendure, Will F., Ethan Gullett, Joseph Hite, Glen MacLeay, Joey Moloney,

Advisor: Andrew Sommers and Giancarlo Corti

The Office of Research for Undergraduates has the following opportunities:

• Undergraduate Research Award Forum
• Undergraduate Summer Scholars
• First Year Research Experience