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
Evaluation of Additive Manufactured Part Integrity
Fixture Design and Damage Potential
FEA models of the surrogate fixture will be created.
FEA models will be used to explore the critical design factors in understanding the relationship between the energy input location/direction and the damage produced at the unit under test.
Modal analysis will be performed on the surrogate fixture and unit under test to validate the FEA models.
A shaker test will be performed on the surrogate fixture to explore the effects of input location and drive file shaping on the strains and acceleration measured at the unit under test.
Development of Dynamic Torsional Measurement Capability using Hybrid Electric Motor – Year 1
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.
Characterization of Torque Converter Cavitation Level during Speed Ratio Operation - Year 3
Torque converter torus designs have evolved from axially long and round shapes to axially thin and elliptical shapes as automatic transmission content has increased in numbers of gears and in damping capability of the torque converter clutch. Future designs will include torque converters with even thinner tori with the torque converter to be used strictly as a vehicle launch device and the converter clutch applied in low gear at low vehicle speed. These changes result in improved vehicle fuel economy, however, thinner torus torque converters are at increased risk for high levels of cavitation. The fluid in a small torus torque converter versus large at the same level of torque has greater pressure gradients across the blades of the converter pump, turbine, and stator. Greater pressure gradients result in lower pressures on the low pressure side of converter element blades which can lead to cavitation. Smaller torus converters also contain less transmission fluid which can lead to localized regions of higher temperature, further contributing to increased risks for high levels of cavitation. Understanding torque converter cavitation and noise characteristics, and the Influences of design parameters and operating conditions on cavitation level is vital to enabling new generations of transmission designs.
This research seeks to build upon knowledge gained from previous torque converter cavitation and noise studies executed at MTU. Previous research has established that moderate levels of cavitation are present in many torque converters under normal operating conditions. This research intends to quantify the level of cavitation present under normal and overload operating conditions and to develop a method to compare designs relative to design parameters and loading.
Starting in 1997, extensive research was conducted into techniques for detecting the presence of cavitation in the flow field of an operating torque converter. These studies have produced novel methodologies for sensing the onset of cavitation and quantifying its intensity at various operating conditions using microwave telemetry and specially instrumented torque converters. In 2000, a separate project was undertaken to develop a technique to acquire and evaluate noise generated by a torque converter during operation using acoustic measurements. Large quantities of data were acquired in both vehicles and in the dynamometer lab, advanced software was used to disassemble the noise spectrum into its critical components. Very successful measurement and analysis methodologies were developed, but no attempt was made to utilize these tools on converters of widely different sizes and designs. In 2004, a project was undertaken in which converters of different sizes and designs were operated over a range of charge pressures and torques at the stall operating condition. Noise data was acquired during the tests, processed by the recently developed numerical techniques, and non-dimensionalized or otherwise correlated against the converter's design and load parameters. The acoustical method of cavitation sensing was employed to similarly define the influence of converter design on cavitation potential. This data was used to validate the dimensional analysis approach to cavitation prediction suggested by the earlier work. To provide the precision and repeatability necessary for testing performed, both the dynamometers and hydraulic system of the test facility were updated to full computer control. The body of work has nicely correlated the cavitation characteristics of torque converters at stall conditions. In 2007, a project was initiated to characterize torque converter cavitation through a range of speed ratio operation and normal input torque and power levels. Test data was analyzed to develop dimensionless models to predict the speed ratio for cavitation desinense based on torque converter design parameters and operating conditions.
The research established that moderate levels of cavitation are present with no adverse effects in many production torque converters functioning under normal operating conditions. There are no complaints of objectionable noise from cavitation and no evidence of material wear or damage due to the implosion of cavitation bubbles. As torque converter torus designs continue to get smaller, this may no longer be the case. This study proposes to develop a method to measure and quantify the level of cavitation in a torque converter, determine criteria for acceptable levels of cavitation, test a matrix of torque converter designs for cavitation, and perform dimensional analysis to create a model capable of predicting cavitation level based on design parameters and operating conditions