Quantizing cleaning performance

Are you someone who wants to develop innovative ways to make a physical process measurable? Do you want your work to be a part of a customer end-product? Then we are looking for you!

Your assignment
The printhead maintenance function facilitates automated cleaning of printheads in our wide format printers. When print quality inevitably drops during printing, a cleaning action is called to clean the printheads and restore printing to a nominal level. The challenge is to do so with minimal impact on the lifetime of the printhead.

The current cleaning process has a multitude of variables. Their impact on lifetime is unclear, because of the effort required to do accelerated lifetime tests. However, promising new methods of understanding the process are being developed. By making in-situ measurements of the nozzle status during a cleaning action, we can gain insight into what a good cleaning process looks like.

How, what and when to measure, as well as the interpretation of the data from >150k nozzles being measured (for a full system) is still in its early stages. This means that there is a lot of freedom in how to approach this assignment. If successful enough, it will be used to quantify each cleaning action done at customers and help perform the right diagnosis remotely. As well as help future R&D developments.

Different approaches can involve using large data sets to find correlations for various process parameters, or using the measurements done to understand the physical properties inside the nozzle chamber during the process. What experiments to perform and how is up to you! We will let you define the direction you find promising.

Your profile

To be able to fulfil the assignment, you need skills to process and visualize data, such as matlab/ python. The aim is to help develop tooling to do process and visualize the data automatically. Expected is an understanding of elementary physics and a feeling for designing experiments. Furthermore, a proactive approach to sharing results and asking insights from domain experts will help you get the most out of your effort.

In short:

• You are currently studying physics or data science
• You think it’s a challenge to develop something new for a subject with little to no existing literature
• You are interested in designing and performing your own experiments
• You are available for 3 to 6 months for a minimum of 5 days per week
  
  

What’s in it for you?

• A challenging assignment with skilled coaching
• Internship/ Graduation compensation of €500,- per month
• Travel cost compensation if you don’t have an ‘OV-weekcard’
• The possibility to network with professionals inside and outside your field of expertise, thanks to our diversity of disciplines which you will work with
  

Interested?

Are you interested in this assignment? Please click on the button 'apply now' where you can upload your resume and motivation letter.
If you would like to receive more information concerning this assignment, please contact Luc Weeber (internship supervisor), luc.weeber@cpp.canon. If you have any questions about the internship in general, please contact careers@cpp.canon.