COMSOL Weak Magnetic Rope Detection
Budget: ₹600 – ₹5,000 INR
I am working on a new quantitative detection method for steel wire ropes that relies on weak magnetic excitation, and I need a COMSOL Multiphysics specialist to turn my theoretical framework into a reliable, verifiable model.
The work centres on accurately reproducing the magnetic field distribution around both pristine and defect-bearing ropes, then tracking how flux leakage evolves when weak, low-frequency excitation is applied. Precise material properties (B-H curves, conductivity, strand geometry) have to be embedded so the resulting magnetic flux density data matches real-world behaviour. Once the field solution is stable, the next step is to extract and post-process the signals in a way that highlights defects quantitatively—essentially building the signal-processing pipeline directly inside or downstream from COMSOL.
Key focus points
• Magnetic field distribution under weak excitation
• Flux-leakage patterns and their correlation with internal/external flaws
• Comparative magnetic flux density in healthy versus damaged rope samples
• Signal conditioning and feature extraction that can feed a future hardware prototype
Deliverables I need
– The COMSOL .mph model with all study steps, materials and probes
– A concise setup guide so I can reproduce and tweak the simulation
– Exported data sets (field maps, time-series signals) in a common format
– A short technical note explaining how the post-processing identifies and quantifies defect size/location
If you have proven experience modelling magnetic NDT problems or have built similar weak-field simulations, I’d be glad to review examples of your work before we dive in.
The work centres on accurately reproducing the magnetic field distribution around both pristine and defect-bearing ropes, then tracking how flux leakage evolves when weak, low-frequency excitation is applied. Precise material properties (B-H curves, conductivity, strand geometry) have to be embedded so the resulting magnetic flux density data matches real-world behaviour. Once the field solution is stable, the next step is to extract and post-process the signals in a way that highlights defects quantitatively—essentially building the signal-processing pipeline directly inside or downstream from COMSOL.
Key focus points
• Magnetic field distribution under weak excitation
• Flux-leakage patterns and their correlation with internal/external flaws
• Comparative magnetic flux density in healthy versus damaged rope samples
• Signal conditioning and feature extraction that can feed a future hardware prototype
Deliverables I need
– The COMSOL .mph model with all study steps, materials and probes
– A concise setup guide so I can reproduce and tweak the simulation
– Exported data sets (field maps, time-series signals) in a common format
– A short technical note explaining how the post-processing identifies and quantifies defect size/location
If you have proven experience modelling magnetic NDT problems or have built similar weak-field simulations, I’d be glad to review examples of your work before we dive in.