To sign up for this cluster, use Bison code L.27383.
Important note: students G&T (Health and Applied Technology) use L.27384.
This cluster consists of the following projects:
Electronics, Testing and Reliable Assembly of Micro/Nano Devices
Here, your 3S group will have a chance to work within the NPI (NanoPhysics) department on the larger topic of industrialization of so-called “MEMS” (Micro-Electro-Mechanical System) devices. Examples of such devices are: accelerometers, microfluidic devices, pressure sensors, flow sensors, biosensors etc (see photo). There are several challenges in this research line that we need to tackle: a) find efficient ways to test mechanical/fluidic/optic MEMS sensors using electronic probing and/or computer vision, b) find manufacturable paths for solder-less assembly of MEMS in extreme circumstances, c) creative design solutions for novel measurement techniques (e.g. infrared vision) and a few more. You will work towards solving one or more of these challenges as laid out by our industrial partners. Depending on the intake meeting with our Research Chair, your interests at the start of the project as well as the makeup of the group, we shall define your exact project and specific tasks at the start. If the group is big enough, we can also split in multiple assignments. Our partners, The Netherlands Space Research Organisation (SRON), Salland Engineering and Sensata are teaming up together with the Research Chair NanoPhysics Interfaces @ Saxion to investigate, on a long-term basis, how MEMS and NEMS devices can be designed, tested and assembled in a reliable but cost-effective way. We will look into all aspects of the Smart Industry revolution (3D printing, configurable electronics, new production techniques) as well as use the extensive expertise of SRON to enable new techniques and methods for the readout and assembly of novel sensor devices for the industrial partners. Previous groups already worked on several aspects of this project, so you can build on their results. They focused on, for example: thermal shock simulations in COMSOL of an automotive sensor, design of a 4-axis MEMS inspection station with integrated IR vision, COMSOL simulations for calibration of an IR microscope camera, image-processing for detecting nanometer motion of MEMS, etc. We’re looking for electronic engineering students, applied computer science students as well as mechatronics and physics students. There will be a concrete case presented in front of you, most likely an assignment in our microassembly and/or MEMS test labs at the High-Tech-Factory at the Campus of the University of Twente. Regular trips and contact with SRON, Salland and Sensata will be part of your work.
Motorcycling testing dummy
In our future Climate Simulation room, we would like to test our clothing for waterproofness. At the moment we do this testing using real humans on a motorbike, exposeing them to a high pressure water jet and analyzing the results. As you can imagine, this is rather subjective. Part of the challenge for this project, therefore, is to create a more standardized process of testing waterproofness. To improve this, we are thinking of creating a dummy which can be placed in various motor riding positions and can be sprayed wet to detect any possible leakage. The challenge for the project team is to design a sensoric dummy which can register water leakage in motorcycling garments. For an optimal analysis, the dummy should ideally be a complete body. Crucial in all this is that we are able to locate, register, and analyze the first leakage points on the body of the rider using real-time interface monitoring. Following directions could be thought of: a dummy with moisture sensitive sensors placed all over the dummy, a sensoric undergarment (vest, trouser, glove, etc.) which can be worn by the dummy (difficulty will be measuring the exact location of the leakage), a dummy consisting of transparent material, allowing inside cameras to monitor the colour change of the undergarments as a result of water leakage. The project offers a unique challenge for students from various Saxion study programs.
M4Fat – Development of a wearable skin biomarker sensor for monitoring fat burning
Worldwide, chronic diseases are the leading cause of death and disability. In the upcoming decades, the number of people with one (or more) chronic disorders will rise as a result of an aging and inactive population. To minimize the demand for care, prevention as well as early diagnosis of chronic diseases is crucial. Living a healthy lifestyle, i.e. sufficient physical activity and healthy weight, is essential to prevent chronic disorders. The use (and disuse) of energy in the body differs a lot between, as well as within, individuals. Important factors are fitness, exercise intensity and nutrition. One of the most essential energy sources in maintaining a healthy weight are fatty acids. Therefore, it is necessary to gain more insight in the relation between exercise, nutrition and fat burning. Nanotechnology, using a fat-burning sensoring tool (figure 1), can provide real-time feedback on the appropriate exercise intensity. The aim is to develop a wearable device, placed on the skin, converting a biochemical signal (i.e. acetone (figure 2)) into an electrical signal, which will give us access to continuously collected data. This data needs to be translated into motivational feedback to the user. This way, we can monitor fat-burning at any time, place, and in any individual! This biomarker sensor may support healthcare professionals by getting more insight in energy expenditure. Furthermore, by stimulating people with chronic disorders to live healthily, the biomarker sensor could eventually reduce the demand for care. Do you want to help motivate motion behaviour by developing a wearable fat-burning sensor? Then apply! Description of aims: 1) analyze the effect of nutrition and exercise on acetone release through the skin. Compare data with Breath-by-Breath analysis, 2) analyze acetone release on different locations of the body, 3) design and develop a new prototype Biomarker Sensor, 4) expand user survey of the target group /end users, 5) optimize signal transformation (noise reduction) and optimize data transformation 6) develop a user interface – What data is important for the end-user? In what form does the data need to be visible to the end-user.Check out how to sign up
Questions about this cluster?
Feel free to contact us if you have any questions about this cluster. You can call us at 088 - 019 53 11 or use the form below. We wil get back to you within two business days.