Below, you will find a sample listing of some of the research projects taking place within the Mechanical Engineering department. Use the search box or advanced filtering options to search our research projects by keyword or by investigator. You may also learn more about our research thrusts and the projects related to each area:
- Multidisciplinary Engineered Dynamic Systems
- Multi-scale Sensors and Systems
- Space Systems
- Sustainable Manufacturing and Design
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I-Corps: Carbon Nanotube Coaxial Noise Control
Collaborative Research: Individual and Collective Dynamics of Marangoni Surface Tension Effects Between Particles
Icorps: Software for Aircraft Analysis and Design
Development of Dynamic Torsional Measurement Capability using Hybrid Electric Motor - Year 2
Experimental and Modeling Studies of Mahle Smart Heat Injector Concept
3-D Printed Nano-Bioactuators and their Application in Navigation of Endovascular Catheters
Continuation of Engine Ignition Studies-B
Studies to be conducted under higher in-cylinder flows with tumble planks installed in the intake port
Studies of alternative geometry plugs
Studies of plug orientation and gap
Chemiluminescent imaging for combustion signature
Advanced Engine Technologies for Light Duty Vehicles Consortium
Carbon Nanotube Speaker for Exhaust Active Noise Control
Stratus Meteorological CubeSat: Payload Integration and Mission Level Design:
Understanding and Mitigating Triboelectric Artifacts in Wearable Electronics by Synergic Approaches
Sensor Evaluation and Fusion for Closed Loop Combustion Control (CLCC) for SI Engines
Collaborative Research: On Making Wave Energy an Economical and Reliable Power Souce for Ocean Measurement Applications
Hydrodynamic Control Using X-Band Radar for Wave Energy Converter Technology
On Integrating Object Detection Capability into a Coastal Energy Conversion System
I/UCRC: Novel High Voltage/Temperature Materials and Structures
Institute for Ultra-Strong Composites by Computational Design (US-COMP)
CAREER: An Ecologically -Inspired Approach to Battery Lifetime Analysis and Testing
Development of Advanced Model for Pre-Ignition Prediction in Gas Engines
NEXTCAR: Connected and Automated Control for Vehicle Dynamics and Powertrain Operation on a Light-duty Multi-Mode Hybrid Electric Vehicle
Increasing Ship Power System Capability through Exergy Control
Novel Ionomers and Electrode Structures for Improved PEMFC Electrode Performance at Low PGM Loadings
Collaborative Research: On Making Wave Energy an Economical and Reliable Power Source for Ocean Measurement Applications
Development of Advanced Modeling Tools for Diesel Engines
High Brake Mean Effective Pressure (BMEP) and High Efficiency Micro-Pilot Ignition Natural Gas Engine
The objective of this project is to develop the combustion system for a low-cost, low diesel contribution, high brake mean effective pressure (BMEP), high-efficiency premixed charge medium/heavy duty (MHD) natural gas engine and demonstrate the technology on an engine with peak thermal efficiency of up to 44%, diesel pilot contribution of 1-5%, and BMEP up to 25 bar. Emissions will be compliant with current Environmental Protection Agency (EPA) standards for heavy-duty (HD) on-road engines by using a three-way catalyst.
Auris: A CubeSat to Characterize and Locate Geostationary Communication Emitters
Stratus: A CubeSat to Measure Cloud Structure and Winds
Senior Design: Flywheel Balance Measurement System
On Integrating New Capability into Coastal Energy Conversion Systems
Developing a Talent Pipeline: Inspiring Future Naval Engineers and Scientists using Real-World Project Based Instruction
High BMEP and High Efficiency Micro-Pilot Ignition Natural Gas Engine
Toward Undersea Persistence
Evaporation Sub-Model Development for Volume of Fluid (eVOF) Method Applicable to Spray-Wall Interaction Including Film Characteristics with Validation at High Pressure-Temperature Conditions
Center for Novel High Voltage Temperature Materials and Structures
Center for Novel High Voltage/Temperature Materials and Structures
CAREER: Autonomous Underwater Power Distribution System for Continuous Operation
CPS: Breakthrough: Toward Revolutionary Algorithms for Cyber-Physical Systems Architecture Optimization
MRI: Acquisition of a High Resolution Transmission Electron Microscope for In Situ Microscopy Research and Education
NRI: Co-Robots to Engage Next Generation of Students in STEM Learning
Electrospray from Magneto-Electrostatic Instabilities
Fundamental Investigations for Very High Heat-Flux Innovative Operations of Milli-Meter Scale Flow Boilers
I/UCRC: Novel High Voltage/Temperature Materials and Structures
CAREER: A New Perspective on Biomineralization in Healthy and Dysfunctional Ferritins
Overview: Apoferritin is an organic cage that captures the toxic free ferrous ions and transforms them into a ferrihydrite and iron oxide crystalline nanoparticle through a complex biomineralization process (the resulting structural protein is called ferritin). Any dysfunction of ferritin protein can result in iron toxicity, serious illness, chronic diseases, and especially neurological diseases. Dysfunction in ferritin results in the alterations in the biomineralization of the ferritin cores, and therefore, understanding the process of biomineralization within ferritin, is of great importance in the study of neurodegeneration and other chronic diseases. While these unique proteins have been the subject of intense research in biology and chemistry fields due to their importance in many chronic diseases, little effort has been made to unveil the dynamics of such biomineralization processes in liquid conditions. To the Pl's knowledge, there has been no direct evidence at atomic level on how the biomineralization or demineralization inside a ferritin protein progresses over time. This research aims to fill this gap.
The objective of this project is to investigate the in situ crystallization of ferrous ions into crystalline ferrihydrite and iron oxide nanoparticles as well as the demineralization of crystalline core in healthy and dysfunction ferritins in unprecedented resolutions within liquids. In-situ studies conducted inside an atomic resolution aberration-corrected scanning transmission electron microscope (STEM) enabling imaging at resolutions better than 1A. A miniaturized graphene-based electron transparent bio/nano reactor compatible with the microscope chamber is utilized to preserve the liquid environment inside the electron microscope. In this graphene bio/nano reactor, ferrous ions delivered to apoferritins through break down of liposomes acting as reservoirs of irons to trigger the biomineralization within apoferritins cores.
The research is the first atomic resolution study of proteinmediated biomineralization and demineralization within a liquid media and inside a transmission electron microscope. This CAREER research unfolds: (I) The nucleation and growth mechanisms of mineral core (ferrihydrite and iron oxide crystals), (II) the existence and evolution of atomic defects (vacancy, twinning, misorientation boundaries, amorphous regions, etc) during the crystallization, (Ill) the evolution of chemical gradient from surface to core of crystals during the biomineralization, (IV) the mechanisms of demineralization due to iron release, and (V) The atomic-scale morphological and structural differences between a healthy and dysfunctional ferritins.
This research probes the ground rules for ferritin biomineralization with the goal to unveil the fundamental differences with dysfunctional ferritins responsible for neurological diseases. In addition, a new research field for the utilization of bio/nano reactors to image complex biochemical reactions at atomic resolutions will be developed. The CAREER plan will impact the society by integrating multi-disciplinary research with education at all levels while promoting diversity. Graduate and undergraduate students involved with the project will be trained in cross-cutting areas.
MTU Consortium in Diesel Engine Aftertreatment Research
MTU Consortium in Diesel Engine Aftertreatment Research
Starting from a well-established research program and as a result of a Dept. of Energy 3 year project, we have significantly enhanced our laboratory, experimental methods and procedures, and modeling/estimator capability. The faculty and students have produced thirteen publications from this research.
The underling goal of the consortium is to develop and conduct precompetitive research on advanced aftertreatment systems through experimental engine methods, development and calibration of high fidelity models, and development and application of estimators and controllers. Achieving this goal will provide an improved understanding of the systems under dynamic and low temperature conditions characteristic of advanced medium and heavy duty diesel engines allowing the consortium members to apply this knowledge and models to improve system performance, reduce cost, and develop new approaches to diagnostics and increase robustness of their on-board-diagnostics.
The existing facilities and an extensive model base will be used as developed in previous research including the current DOE program. This includes temperature controlled exhaust, positive torque drive cycles, and validated component models and estimators. Additionally we will add real-time functionality to perform aftertreatment estimation and control in the engine test cell.
The consortium research themes integrate fundamental and applied aspects of (1) Experimental Engine Studies (2) Modeling and Simulation and (3) Estimation, Control, and diagnostics. The proposed research is split into three major themes (I) Experimental, (II) Modeling, and (III) Estimation and Controls with a number of outcomes from the composite research program.
Areas of study will be determined based upon proposed research by MTU with input from the Partners to direct the research.
Based upon input from our partners and continuing some efforts from the DOE program, the following have been identified as key areas from which yearly research topics will be selected.
- Experimentally validated reduced order models and state estimation algorithms of aftertreatment components which are accurate for low temperature and dynamic operation.
- Quantify particulate matter (PM) maldistribution, loading, and NO2/PM ratio effects on passive and active regeneration, bio-fuel blends, and aging for catalyzed particulate filters (CPFs).
- Increased knowledge of ammonia (NH3) storage behavior, optimal NH3 loading, hydrocarbon (HC) poisoning, and aging for selective catalytic reduction (SCR) catalysts
- Understanding effect of sensor type/configuration on state estimation quality.
- Optimal reductant strategies for SCR operation and CPF regeneration.
- Integrated response and optimization of engine feedgas and aftertreatment systems
- Thermal control of the aftertreatment components for light-off, maintaining operational temperature, and regeneration relevant to engine low temperature operation and integration with exhaust energy recovery systems
- Fundamental studies of DEF introduction and functional responses – hydrolysis and pyrolysis
- Diagnostic concept development: Based upon existing virtual sensor and estimator work this will be translated into system and component diagnostics
- Sensor displacement by applying estimators and virtual sensors. For example, determining whether a NH3 sensor is needed if an accurate SCR NH3 storage model is available.
- Improved DPF PM estimation and measurement. Although systems are going to increase passive oxidation with engines moving to higher NOX and lower PM, this is still an important research area to improve methods to accurately estimate CPF loading.
- Alternative and integrated aftertreatment technologies such as integrated SCR with PM filtration. Many fundamental questions remain about this technology including architecture of combining functions that still enable high passive PM oxidation and high NOX conversion.
- PM Sampling and related diagnostic use. Quantifying the effect of sensor location on the ability to detect failures. does it matter where the sensor is and what the type of failure is. e.g. For example, how does the location of the PM sensor impact the speed of CPF melt down detection and can this speed of detection be optimized?