Multidisciplinary Engineered Dynamic Systems
The Multidisciplinary Engineered Dynamic Systems research group focuses on collaborative research at the interface of engineering disciplines including dynamics, vibration, acoustics, signal processing, molecular biology, and controls. These disciplines are becoming increasingly important due to advances in nanotechnology, higher machinery speeds, demanding operational loads, compact and lightweight designs, and new engineered materials.
Experimental work that employs high-speed processors, signal processing and embedded control processor, smart sensors, and actuators is evolving rapidly. When faced with complaints about noise or unpleasant vibration, many global manufacturers turn to the Multidisciplinary Engineered Dynamic Systems research group to investigate and improve their systems' behavior.
Researchers employ experimental and simulation-based methods to turn a grating whine into a gentle hum that exists below the realm of human perception. With modern lab facilities that include anechoic and reverberation chambers, researchers are well equipped to undertake studies of components and systems in full-scale operation.
Faculty + Research = Discovery
Our department boasts world-class faculty who have access to numerous innovative research labs and are committed to discovery and learning. This encompasses a range of research areas, experiences, and expertise related to multidisciplinary engineered dynamic systems. Learn more about our faculty and their research interests:
Space Trajectory Optimization; Ocean Wave Energy Conversion; Spacecraft Dynamics and Control; Global Optimization Methods; Variable-Size Design Space Optimization; Evolutionary Algorithms
Advanced Measurements and Signal Processing; Acoustic Intensity and Vector Sensors; Room Acoustics; Acoustic Material Characterization; Outdoor Sound Propagation; Physical Acoustics; NI LabVIEW Data Acquisition and Control; Microphones; Crowd Noise; Underwater Acoustics; Structural Acoustics; Array Signal Processing
Manufacturing variation on the response of planar and three-dimensional mechanisms; Influence of design parameters on the wear rates of gerotor types
Dynamic Measurement Problems; Developing new digital signal processing algorithms to understand NVH type problems; Ways to improve the NVH characteristics of virtually any machine
Model Validation; Digital Data Processing; Robust Engineering; Noise and Vibration; System Design
Biomechanics; Solid Mechanics
Autonomous Underwater Vehicles (AUVs) with Special Interest in Underwater Gliders; Coordination and Control of Networked Multi-Agent Systems; Motion Planning in Complex Environments; Cyber-physical Systems
Control system design; Methods for correlating nonlinear dynamic models to experimental data; Nonlinear control; System simulation; Nonlinear system parameter identification and optimization
Human-Robot Interactions; Prosthetic Robots; Assistive and Rehabilitation Robotics; Augmenting Agility of Locomotion; Biomechanics of Gait
Advanced propulsion and power transfer systems; Automatic transmission systems design; Integration and control; Hybrid electric propulsion systems; Driveline torsional vibration analysis and testing; Rotating machinery NVH; Dynamic/digital signal processing; Lumped parameter modeling
Wireless Body Area Network and Wireless Health Care; Non-contact Physiological Measurement System; Data Mining in Human Fatigue Detection; Transportation Safety; Human Factors; Nondestructive Testing (NDT)
|Charles Van Karsen||
Experimental Vibro-Acoustics; NVH (Noise, Vibration, and Harshness); Structural Dynamics
Our faculty engage in a number of research projects, many of which are publicly funded. A sample listing of recent research projects focused on agile interconnected microgrids appears below. You can also view a broader list of research projects taking place across the mechanical engineering department.
Understanding and Mitigating Triboelectric Artifacts in Wearable Electronics by Synergic Approaches
Carbon Nanotube Speaker for Exhaust Active Noise Control
Development of Dynamic Torsional Measurement Capability using Hybrid Electric Motor - Year 2
On Integrating New Capability into Coastal Energy Conversion Systems
CPS: Breakthrough: Toward Revolutionary Algorithms for Cyber-Physical Systems Architecture Optimization
Design optimization of cyber-physical systems (CPS) includes optimizing the system architecture (topology) in addition to the system variables. Optimizing the system architecture renders the dimension of the design space variable (the number of design variables to be optimized is a variable.) This class of Variable-Size Design Space (VSDS) optimization problems arises in many CPS applications including (1) microgrid design, (2) automated construction, (2) optimal grouping, and (3) space mission design optimization.
Evolutionary Algorithms (EAs) present a paradigm for statistical inference that implements a simplified computational model of the mechanisms embedded in natural evolution, with potential to solve this problem. However, existing EAs cannot optimize among solutions of different architectures because of the inherent strategy for coding the variables in EAs. Existing EAs resembles natural evolution in which a given architecture can evolve by improving the state of its variables but cannot be revolutionized. Inspired by the concept of hidden genes in biology, this project investigates revolutionary optimization algorithms that can optimize among different solution architectures and autonomously develop new architectures that might not be known a priori, yet are more fit solution architectures. Efficacy of the new algorithms for CPS is evaluated in the context of space mission design optimization.
There is an increasing demand in the scientific community for autonomous design optimization tools that can revolutionize systems designs and capabilities. Most existing optimization algorithms can only search for optimal solutions in a fixed-size design space; and hence they cannot be used for solution architecture optimization. Few existing algorithms can search for optimal solutions in VSDS problems; however these are problem-specific algorithms and cannot be used as a general framework for VSDS optimization. This project investigates the novel concept of hidden genes in coding the variables in evolutionary algorithms so that the resulting algorithms can be used for optimizing VSDS problems. The key innovation in these new algorithms is the new coding strategies. In addition, in this project, the standard operations in EAs will be replaced by new operations that are defined to enable revolutionizing a current population of solution architectures using the new coding strategy. The Pl's recent research results, in the context of space mission design optimization, demonstrate that the hidden genes optimization algorithms can search for optimal solutions among different solution architectures, revolutionize an initial population of solutions, and construct new solution architectures that are more fit than the initial population solutions.
Tailorable Resonant Plate Testing
- FEA models of the resonant plate and fixture will be created.
- FEA models will be used to understand how each parameter of the test system effects the shock response spectrum.
- Identify potential limits for the shock response spectrums which can be reproduced within the framework of the resonant plate test system.
- Propose design approaches and tailoring strategies which will enable the resonant plate test system to deliver a specified shock response spectrum (within the capability limits of the resonant plate test system framework).
- Mechanisms to add damping to the resonant plate will be explored both analytically and experimentally as a potential tailoring strategy.
Sound Power Measurement System for Fire Protection Systems
Suspended Floor Material Testing
Michigan Tech will test materials according to EN 29052-1. There will be two batches of testing. The first will consist of 10 baseline materials. The second batch will consist of 7 prototype materials. Each material will include averaging of data from three test samples. Dynamic stiffness from the EN 29052-1 test will be reported to the sponsor. In addition, damping values, using the half-power bandwidth method, will be reported for A-B comparisons. It should be noted that these damping values will not represent as-installed damping values for the materials. Finally, Michigan Tech will provide a load-deflection curve for each material based on results from an MTS machine test. Four of the baseline materials will also undergo a creep test, where they will be loaded over a 48 hour period and re-tested for dynamic stiffness. Data will be presented in the form of a 1-2 page report for each material, showing raw data and computed values of dynamic stiffness, damping ratio, and load-deflection.
Understanding the Cavity Mode of Tires
The purpose of this research is to be able to predict the natural frequencies associated with the cavity modes of tires mounted oil wheels. Ford has experienced difficulties in the past when these natural frequencies have aligned themselves with the natural frequencies of other vehicle components and hence caused an objectionable noise in the vehicle. The goal of this project is to provide the tools to Ford to allow them to make decisions in advance of mounting tire/wheel combinations on vehicles by estimating what these tire cavity natural frequencies will be. It is anticipated that to fully understand the frequencies of the tire cavity modes will require a combination of modeling and experimental testing.
To meet these objectives start with a finite element model of the cavity of a tire mounted on a wheel. The initial model includes effectively a rigid tire and wheel. This model is not a coupled vibro-acoustic model but instead just an estimate the natural frequencies of the tire cavity itself with zero velocity boundary conditions. This model will be modified to simulate the change in the tire cavity shape when the wheel is loaded in a static configuration. The results of the loaded and unloaded models are compared to help to understand the effects of changing the tire cavity's shape. If the results of this model show promise, simpler modeling methods will be explored.
The next step in the modeling process includes a flexible tire and wheel and be a fully coupled vibro-acoustic model. In this model, the wheel will have actual material properties assigned while the tire will be modeled as an isotropic material with estimated material properties that will be iterated to achieve natural frequencies of the coupled system similar to those measured in the laboratory of a stationary tire. This model will then be modified to a statically loaded condition and the model re-run to observe the effects of loading the tire on the natural frequencies.
Models will be validated experimentally by testing a tire/wheel assembly in the laboratory at MTU. Testing will be done in the both the unloaded and the statically loaded case by exciting both the wheel and the tire patch in separate tests. Natural frequencies will be estimated from all tests and used to validate the models. Models and testing will be performed on several different tire/wheel combinations to assess the ability to estimate the natural frequencies of different configurations. Based on the results of the modeling and testing the final deliverable from this project will be the simplest approach that can be determined for estimating the natural frequencies of a tire cavity based on a minimum set of information or data.
Control System Design for Cargo Transfer from Offshore Supply Vessels to Large Deck Vessels
There is a wide range of hydraulic extending-boom and knuckle-boom cranes in use on marine vessels. These cranes are often used in dynamic motion environments for cargo transfer and small boat handling. The ability to safely launch and recover small boats in elevated sea states for naval, Coast Guard and oceanographic purposes is currently a focus of investigation within these communities.
The purpose of this investigation is to extend the research begun under SBIR topic N06-
057, "Cargo Transfer from Offshore Supply Vessels to Large Deck Vessels" to improve the performance of hydraulic marine cranes in the dynamic offshore environment. In addition, the lessons learned during the development of the Integrated Rider Block Tagline System (IRBTS), the Platform Motion Compensation System (PMC) and the Pendulation Control System (PCS) for the rigid-boom, level-luffing marine cranes used for container handling on sealift ships will be incorporated into a final integrated, modular kit to improve cargo transfer with these extending-boom and knuckle-boom cranes.
Phase II Technical Objectives
The goal of Phase II is to develop and demonstrate a modular solution for crane pendulation and motion control suitable for a wide range of existing U.S. Navy ship cranes. Phase I clearly showed that pendulation control can be modularized by implementing ship motion cancellation using the crane's existing drive system and active load damping using a retrofit damping device. In that work, a specific crane design was considered and the study was strictly proof-of-concept through simulation.
Phase II focuses on identifying the range of cranes for which the modular approach is feasible, developing the analysis and design work flow needed to design and deploy the modular solution, and demonstrating both the process and the performance on a particular crane. The incremental technical objectives of Phase II are listed below.
1. The analysis and design process for implementing modular pendulation and motion control on any crane,
2. The development of a modular crane control system (MCCS) "kit" including refinement of the key subsystems (sensors, actuation, algorithms),
3. A phased demonstration of MCCS using 1/12th and larger scale testbeds.
At the conclusion of Phase II, the objective is to have a fully functioning MCCS system demonstrating ship motion cancellation, active payload damping on an articulated crane similar to those currently deployed on numerous U.S. Navy and civilian ships. The Phase II Option will focus this development on a design that can be implemented on the hydraulic extending-boom crane, currently proposed for use on the JHSV.