Manyezit cevher yüzeyindeki dağılım türlerinin belirlenmesi

Year 2017, Volume: 19 Issue: 3, 105 - 110, 07.12.2017

Tuğba Özbey Mehmet Bayırlı

https://doi.org/10.25092/baunfbed.363773

Abstract

Doğada ve deneysel ortamda morfolojik
özelliklere sahip ve istatistiksel olarak bilimsel araştırmaların konusu olan
birçok yapı bulunmaktadır. Bu yapılardan biri manyezit cevher yüzeyindeki
mangan dağılımlarıdır. Bu dağılımları araştırmak amacıyla manyezit cevher
yüzeylerindeki makroskobik açıdan farklı özellik gösteren bölgeler ayrı ayrı
incelenmiştir. Bu amaçla işgal edilme kesri f değeri, 0.159 ve 0.133 olan bölgelere ait parçacık
dağılım grafikleri elde edilmiş ve yeni bir dağılım fonksiyonu olan



















 tanımlanmıştır. ρ, d ve q cevher yüzeyindeki dağılımları tanımlayan model
parametreleridir. Buna göre, dendritik özellikteki mangan yapıları hiperbolik
dağılım gösterirken, noktasal ya da bütün bir yapıdakiler gaussian dağılım
göstermektedir. 

Keywords

Mangan dağılımları, hiperbolik ve gaussian dağılımlar

The determination of the types of the distribution on the magnesite ore

Abstract

There are many structures in nature and in the experimental environment
that have morphological characteristics and are statistically subject to
scientific research. The one of these structures is manganese distributions on
the magnesite ore surface. In order to investigate these distributions, the
regions showing different properties macroscopically on magnesite ore surface
have been investigated separately. For this purpose, the particle distribution
graphs for the zones with the occupation fraction value f, 0.159
and 0.133 are obtained and a new distribution distribution function



















 is defined. ρ, d and q 
are the model parameters that define the distributions in the ore
surface. According to this, while the manganese structures having dendritic
properties show hyperbolic distribution, having point or whole structure show
gaussian distribution.

Keywords

Manganese distributions, hyperbolic and gaussian distributions

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