1 / 6

Optimizing Nb3Sn Magnet Design: Interpolation of Energy Deposits for Reduced Quenching Risk

Nb3Sn magnets are critical in superconductivity applications, but quenching above the critical temperature can hinder their performance, particularly in accelerator operations. Particle debris at interaction points contributes significantly to heat load in these magnets. This work utilizes FLUKA and MARS simulations to assess energy deposits and develop interpolation methods for enhancing magnet design. Two interpolation techniques are implemented—bilinear and bicubic—in 2D, comparing results for efficiency. Future work aims to extend these methods to 3D data analysis and evaluate coil geometries to minimize quenching risks.

miles
Download Presentation

Optimizing Nb3Sn Magnet Design: Interpolation of Energy Deposits for Reduced Quenching Risk

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Nb3Sn Magnet Simulations • Superconductivity breaks down above the conductor critical temperature, causing magnet ‘quenching’, which is undesirable for accelerator operation. • The main contribution to heat load in magnets is particle debris at the interaction point. Simulations of energy deposits in magnets help determine the optimal design in this respect.

  2. FLUKA/MARS Interpolation • FLUKA & MARS used to simulate energy deposits in magnets • Results are not in useful coordinate system for magnets; need to interpolate

  3. Current Work • 2 Interpolation methods designed for both FLUKA and MARS data • bilinear method & bicubic method • Interpolation carried out in 2D on one cross section of magnets • Comparison of methods suggests maximum difference of ~10%, which is far less than the intrinsic error in either of the codes

  4. FLUKA linear interpolation FLUKA cubic interpolation Elinear-Ecubic

  5. MARS linear interpolation MARS cubic interpolation Elinear-Ecubic

  6. Future Work • Modify routine to work with 3D FLUKA output data and identify the longitudinal bin with maximal heat deposits. • Run for several coil geometries to identify those with least risk of quenching. • Find mathematical model for heat deposits based on statistical analysis of results.

More Related