Computational project ideas for magnetic materials?

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Discussion Overview

The thread discusses potential project ideas related to magnetic materials, focusing on computational approaches and simulations. Participants explore various topics, including statistical analysis, modeling, and optimization of magnetic shielding, as well as theoretical models like the Ising Model of ferromagnetism.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks datasets related to alloys and their physical properties, specifically conductivity, to perform multiple linear regression analysis.
  • Another participant suggests simulations and optimizations of magnetic shielding using netic and co-netic mu-metal materials, highlighting the importance of material thickness and cost optimization.
  • A different suggestion involves verifying the Ising Model of ferromagnetism through simulations, with variations in material properties to explore the model's limitations.

Areas of Agreement / Disagreement

Participants present multiple competing ideas for project topics, with no consensus on a single approach. Each suggestion offers a different focus, indicating a variety of interests and potential directions for the project.

Contextual Notes

Participants express varying levels of familiarity with the topics, and there may be limitations in the availability of specific datasets or the complexity of the proposed simulations.

tm64
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For my end-of-semester project, I was tasked to investigate an aspect of magnetism/magnetic materials, to do some literature review on the topic, and code a mathematical model and display my results graphically. I couldn't find anything I wanted to do, so I asked the professor to assign me a topic - big mistake. What he assigned me seems totally out of reach of my knowledge, and I'm struggling to produce anything meaningful as the deadline quickly approaches.

For reference, I'm comfortable with statistical analysis in R and have a general proficiency with Python.

Ideally, there would be some kind of dataset that has a bunch of alloys with data regarding some physical property (I guess conductivity would count?) as well as some other variables such as composition or grain size etc. as independent variables, and I could model the conductivity (or whatever property) through a multiple linear regression of the other variables. Ideally, this would be something that could be completed quite quickly and would be within grasp of an underachieving undergrad...

Is anyone aware of any data sets that have these specifications? And perhaps some references detailing the physical explanation of the relationships for the literature review portion?

Thanks
 
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I'm not sure if it fits your requirements, but you could do some simulations and optimizations of magnetic shielding using the combination of netic and co-netic mu-metal shield materials. Magnetic Shield Corporation has lots of information about shielding materials and applications:

https://www.magnetic-shield.com/

https://www.magnetic-shield.com/all-about-shielding-faqs/

https://www.magnetic-shield.com/material-types/

The two materials are used in combination with one material surrounding the other to optimize the magnetic shielding effect. The highest mu material does the best job of shielding, but saturates if it is not thick enough. Adding the lower mu material in a laminate fashion helps to optimize the overall thickness and cost of the shield.

We use such shielding in a product that has sold in high volume -- it is an electronic device that is about a cubic inch in size and can be placed in pretty magnetically noisy environments (like next to switching power supplies with open magnetics). We had Magnetic Shield Corporation help us to design a nested pair of 5-sided shield cups that fit over our product.

You could do your simulations with various choices of netic and co-netic materials and different thicknesses to show how to optimize the shield combination for cost and thickness... :smile:

1620738208992.png


1620738448292.png
 
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If you want something statistical, how about a simulation that could verify the Ising Model of ferromagnetism. You could vary the material properties to found out where it breaks down.
 
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berkeman said:
I'm not sure if it fits your requirements, but you could do some simulations and optimizations of magnetic shielding using the combination of netic and co-netic mu-metal shield materials. Magnetic Shield Corporation has lots of information about shielding materials and applications:

https://www.magnetic-shield.com/

https://www.magnetic-shield.com/all-about-shielding-faqs/

https://www.magnetic-shield.com/material-types/

The two materials are used in combination with one material surrounding the other to optimize the magnetic shielding effect. The highest mu material does the best job of shielding, but saturates if it is not thick enough. Adding the lower mu material in a laminate fashion helps to optimize the overall thickness and cost of the shield.

We use such shielding in a product that has sold in high volume -- it is an electronic device that is about a cubic inch in size and can be placed in pretty magnetically noisy environments (like next to switching power supplies with open magnetics). We had Magnetic Shield Corporation help us to design a nested pair of 5-sided shield cups that fit over our product.

You could do your simulations with various choices of netic and co-netic materials and different thicknesses to show how to optimize the shield combination for cost and thickness... :smile:

View attachment 282888

View attachment 282889
awesome, thanks for the idea.
seems straight forward enough and there's plenty of info on this page
anorlunda said:
If you want something statistical, how about a simulation that could verify the Ising Model of ferromagnetism. You could vary the material properties to found out where it breaks down.
also sounds like an interesting idea, thanks
 
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