A quantitative texture analysis has been done on silicon steel specimens having different precipitate distribution in order to understand the texture development and the role of precipitates during secondary recrystallization. / To improve the size and distribution of precipitates, several annealing treatments were done on specimens obtained at different stages in the production of silicon steel. Tests for magnetic properties such as core loss and permeability, were done on final product specimens which had different precipitate distribution before secondary recrystallization. It is proposed that good precipitate distribution in the sheet before secondary recrystallization leads to a higher quality final product. / Grain size distribution and orientation distribution function (ODF) were obtained for the primary recrystallized specimens and for the annealed specimens, just before and just after, secondary recrystallization. From the ODF data, the probability of coincidence site lattice (CSL) boundaries were calculated up to $ Sigma$27b. The probability of CSL boundaries in specimens having good precipitate distribution was different from the probability observed in specimens having poor precipitate distribution. / An etch-pit method was used to give a more detailed, quantitative analysis of the texture development. An image analyzer was used to digitize the etch pit shapes, as well as the shape of grains. A computer program was developed to calculate the grain size of different texture components, the frequency of CSL boundaries between all grains, and the frequency of CSL boundaries between Goss grains and neighbouring grains. (Abstract shortened by UMI.)
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.69744 |
| Date | January 1993 |
| Creators | Lee, Kitae, 1966- |
| Contributors | Szpunar, J. A. (advisor) |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Engineering (Department of Mining and Metallurgical Engineering.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 001392658, proquestno: AAIMM91861, Theses scanned by UMI/ProQuest. |
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