Simulation Optimization using Reliable Material data and Experimental substantiation on Solidification behavior of Hadfield Steel: MAGMA Simulation of Manganese Steel Wear parts for Sandvik Rock Crushers
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE credits
Student thesisAlternative title
Simuleringsoptimering med hjälp av tillförlitliga materialdata och experimentell underbyggnad på solidifieringsbeteendet hos Hadfield Steel : MAGMA Simulering av Mangan Steel Använd delar till Sandvik Rock Crushers (Swedish)
Abstract [en]
The work presented aims to simulate the computer simulation of manganese steel wear parts of Sandvik’s Rock Crusher and match the actual foundry conditions.
Thermophysical properties like thermal conductivity, specific heat and density of different grades of Hadfield steel like M1, M2 and M7 along with Olivine sand is calculated by experimental methods such as Differential scanning calorimeter, Laser flash and Dilatometer in Jönköping University. Using the data obtained from the experiments, new datasets are created in MAGMA to run the simulation.
A real time casting experiment with thermocouples to measure the cooling curves was carried out in order to match the foundry conditions through MAGMA simulation to get a good fit and to ease the predictability of the quality of the wear parts.
Optimization tool in MAGMA is used to create the design of experiments in order to match the curves by keeping HTC in consideration. Results from the design simulation give an idea as to how much HTC varies from the lower limit to higher limit. Going forward, a new HTC dataset is created to optimize the simulation to higher accuracy
Place, publisher, year, edition, pages
2017. , p. 109
Keywords [en]
Thermophysical property, Optimization, MAGMA simulation, Hadfield steel, Olivine sand, Thermo-Calc, specific heat, density, thermal conductivity, wear parts, rock crushers, Solidification curves, HTC
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:hj:diva-37041ISRN: JU-JTH-PRU-2-20170077OAI: oai:DiVA.org:hj-37041DiVA, id: diva2:1136653
External cooperation
Sandvik Mining and Rock Technology
Subject / course
JTH, Product Development
Presentation
2017-08-17, E2423, Gjuterigatan 5, 553 18, Jonkoping, 13:40 (English)
Supervisors
Examiners
2017-08-292017-08-282017-08-29Bibliographically approved