27 August 2017 to 1 September 2017
RAI Congress Center, Amsterdam, The Netherlands
Europe/Amsterdam timezone

Optimal Design of the LTS Magnet employing Genetic Algorithm for EMPS

29 Aug 2017, 13:15
1h 45m
Posters Area

Posters Area

Poster Presentation of 1h45m G7 - Multi-Physics Design and Analysis Tue-Af-Po2.10

Speaker

Dr Jang Jae Young (Korea Basic Science Institute)

Description

A 5 T low temperature superconducting magnet is designed and will be fabricated for EMPS (Electro-Magnetic Property measurement System) whose sample space is 50 mm in diameter. Since the sample space is twice larger than that of the conventional property measurement systems, it will be possible to measure the electro-magnetic properties of several samples at a time, therefore measurement time could be reduced. With the genetic algorithm incorporated with the linear-programming, optimal design of the 5 T LTS magnet was carried out; 50 mm space field uniformity, magnetic stress, critical current under the magnetic field and cryostat dimensions are considered in the optimizing process. The linear-programming restricts the magnet space and structure to minimize total volume of the wires. Meanwhile, the genetic algorithm calculates the layers, turns and detail dimensions of the magnet in the magnet space confined by the linear-programming. In addition, quench analysis employing finite difference equations in liquid helium was carried out to verify the thermal stability of the LTS magnet. The quench simulation code calculates heat transfer among the unit cells and joule heat of the magnet in three dimension space. The temperature as well as current profiles of the magnet during a quench is investigated using the simulation result.

Submitters Country South Korea

Primary authors

Dr Jang Jae Young (Korea Basic Science Institute) Young Jin Hwang (Korea Basic Science Institute) Prof. Sangjin Lee (Uiduk University) Myung Su KIM (Korea Basic Science Institute) Yeon Suk Choi (Korea Basic Science Institute)

Presentation Materials