MCCI: Hackathon
challenging an industrial challenge
Milling is a widely used manufacturing process. It subtracts material from a block to provide a part that can be used in an assembly. This removal is done by a rotating cutting tool that cuts material away resulting in material chips and a (hopefully) smooth surface. And this is where the story of MCCI starts.
When the cutting tool cuts into the material, chatter can occur. This chatter are practically speaking vibrations where the cutting tool is not at the target height. As a result, the surface is not smooth but has chatter marks. While chatter is difficult to avoid, the detection of chatter is very helpful. Once detected, the operator of the machine or even the machine itself can change parameters to reduce the effects.
AI-Model for chatter detection in milling
make the machine feel chatter before it occurs
In this hackathon, the starting point is a model that was developled by AIRISE. But we think, there must be someone out there to create a better solution. This is the challenge.
- check out the existing model and understand its performance
- use the data and see how signals change when chatter occurs
- come up with your own idea to develop a solution that detects chatter early
- submit your solution
We have created a challenge on the kaggle platform that has been closed by now. Check out the result below.
If you achieve a more robust implementation or an implementation that detects the chatter earlier than the given one (the baseline), then please submit. We will rank the achievements according to the criteria as listed on the platform.
We will promote good solutions and we offer benefits to the best ones. Come and talk to us if anything is unclear.
HACKATHON is closed
The result!
We are happy to have received 78 submissions to the challenge of chatter in milling. A great thanks to all participants who engaged on this topic. We expected that one of them would exceed the baseline that was established within AIRISE, but it seems that we are still ahead.
What does this mean?
In AIRISE we offer a comprehensive set of services that support companies in manufacturing to employ AI to their benefit. For each case, we select a set of experts well suited to address the company's challenge. On this, we have the ambition to jointly create a good - if not the best solution for the specific case of AI-in-manufacturing. In the case of MCCI, we see that the solution through AIRISE is at the top.
Where to go from here?
Visit our ecosystem to learn more about the offerings that can support your business.