Çimento endüstrisinde hammadde harmanlama prosesinin optimal kontrolü
Optimal control of raw material blending process in cement industry
- Tez No: 68255
- Danışmanlar: YRD. DOÇ. DR. RECEP KAZAN
- Tez Türü: Yüksek Lisans
- Konular: Makine Mühendisliği, Mechanical Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 1997
- Dil: Türkçe
- Üniversite: Sakarya Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Makine Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Makine Tasarım ve İmalat Bilim Dalı
- Sayfa Sayısı: 74
Özet
SM = SiO 2 Al203+Fe203 Alumina Modulus (AM): ALO, AM = - 2tt Fe203 A high LSF requires high heat consumption for clinker burning İnside the kiln, and thus gives more strength to the cement. A higher SM decreases the liquid phase content, which impairs the burnability of the clinker andreduces the cement setting time. The value of AM determines the composition of liquid phase in the clinker. The goal is to achieve a desired level of LSF, SM and AM of the raw mix, to produce a particular quality of the cement by controlling the mix proportions of the raw materilas. To achieve an appropriate raw mix proportion is very difficult, due to the inconsistencies in the chemical composition of the raw material. The cement production plant of Nuh Çimento A.Ş. in Hereke is taken as an application process. The process is explained with details and the data of input and output are used. In cement industry they used four main raw materials. These are the clay, chalkstone, iron and kaolin. The four raw materials are mixed in apredetermined proportion and so it is obtained a clinker of a known quality. These raw materials are taken as the system inputs. For a good quality the proportionality of theseraw materials should be in a standard interval. To make an analysis for quality one take samples of the blended material in some points of the process. The samples are analyzer in tow ways. One is to make a chemical analysis. Another approach is the GAMMA- MATRİCS analysis. The raw materials are brought into a crusher to crush in small pieces. After then they are conveyed to a stockhall where a reclaimer make a prehhomogenization. In the stockhall the samples of the raw material is taken and analyzed. There is also an analsis in the silo after the mill. There are looked for four main ozides. These oxides are calciumoxide (CaO), xivsilicumoxide (SİO2), aluminiumoxide (AI2O3) and ironoxide (Fe203). The sizes of their percentile proportion are criteria for the quality. The chemical analysis is made and GAMMA- MATRİCS analysis is made one per five minutes. The four main oxides are thought as the system outputs. The result at the main process in cement industry is the raw meal blending process. The task of the raw meal blending process in a cement factory is to mix the raw materials in order to produce cement raw meal for the kiln. For this purpose, a discrete time state estimator model in which the inputs are the feed rates and the outputs are the modulus is developed. The variation of chemical composition of raw meal and the measurement noise of oxides were eliminated by the time - varying kalman filter design. xv
Özet (Çeviri)
SM = SiO 2 Al203+Fe203 Alumina Modulus (AM): ALO, AM = - 2tt Fe203 A high LSF requires high heat consumption for clinker burning İnside the kiln, and thus gives more strength to the cement. A higher SM decreases the liquid phase content, which impairs the burnability of the clinker andreduces the cement setting time. The value of AM determines the composition of liquid phase in the clinker. The goal is to achieve a desired level of LSF, SM and AM of the raw mix, to produce a particular quality of the cement by controlling the mix proportions of the raw materilas. To achieve an appropriate raw mix proportion is very difficult, due to the inconsistencies in the chemical composition of the raw material. The cement production plant of Nuh Çimento A.Ş. in Hereke is taken as an application process. The process is explained with details and the data of input and output are used. In cement industry they used four main raw materials. These are the clay, chalkstone, iron and kaolin. The four raw materials are mixed in apredetermined proportion and so it is obtained a clinker of a known quality. These raw materials are taken as the system inputs. For a good quality the proportionality of theseraw materials should be in a standard interval. To make an analysis for quality one take samples of the blended material in some points of the process. The samples are analyzer in tow ways. One is to make a chemical analysis. Another approach is the GAMMA- MATRİCS analysis. The raw materials are brought into a crusher to crush in small pieces. After then they are conveyed to a stockhall where a reclaimer make a prehhomogenization. In the stockhall the samples of the raw material is taken and analyzed. There is also an analsis in the silo after the mill. There are looked for four main ozides. These oxides are calciumoxide (CaO), xivsilicumoxide (SİO2), aluminiumoxide (AI2O3) and ironoxide (Fe203). The sizes of their percentile proportion are criteria for the quality. The chemical analysis is made and GAMMA- MATRİCS analysis is made one per five minutes. The four main oxides are thought as the system outputs. The result at the main process in cement industry is the raw meal blending process. The task of the raw meal blending process in a cement factory is to mix the raw materials in order to produce cement raw meal for the kiln. For this purpose, a discrete time state estimator model in which the inputs are the feed rates and the outputs are the modulus is developed. The variation of chemical composition of raw meal and the measurement noise of oxides were eliminated by the time - varying kalman filter design. xvSM = SiO 2 Al203+Fe203 Alumina Modulus (AM): ALO, AM = - 2tt Fe203 A high LSF requires high heat consumption for clinker burning İnside the kiln, and thus gives more strength to the cement. A higher SM decreases the liquid phase content, which impairs the burnability of the clinker andreduces the cement setting time. The value of AM determines the composition of liquid phase in the clinker. The goal is to achieve a desired level of LSF, SM and AM of the raw mix, to produce a particular quality of the cement by controlling the mix proportions of the raw materilas. To achieve an appropriate raw mix proportion is very difficult, due to the inconsistencies in the chemical composition of the raw material. The cement production plant of Nuh Çimento A.Ş. in Hereke is taken as an application process. The process is explained with details and the data of input and output are used. In cement industry they used four main raw materials. These are the clay, chalkstone, iron and kaolin. The four raw materials are mixed in apredetermined proportion and so it is obtained a clinker of a known quality. These raw materials are taken as the system inputs. For a good quality the proportionality of theseraw materials should be in a standard interval. To make an analysis for quality one take samples of the blended material in some points of the process. The samples are analyzer in tow ways. One is to make a chemical analysis. Another approach is the GAMMA- MATRİCS analysis. The raw materials are brought into a crusher to crush in small pieces. After then they are conveyed to a stockhall where a reclaimer make a prehhomogenization. In the stockhall the samples of the raw material is taken and analyzed. There is also an analsis in the silo after the mill. There are looked for four main ozides. These oxides are calciumoxide (CaO), xivsilicumoxide (SİO2), aluminiumoxide (AI2O3) and ironoxide (Fe203). The sizes of their percentile proportion are criteria for the quality. The chemical analysis is made and GAMMA- MATRİCS analysis is made one per five minutes. The four main oxides are thought as the system outputs. The result at the main process in cement industry is the raw meal blending process. The task of the raw meal blending process in a cement factory is to mix the raw materials in order to produce cement raw meal for the kiln. For this purpose, a discrete time state estimator model in which the inputs are the feed rates and the outputs are the modulus is developed. The variation of chemical composition of raw meal and the measurement noise of oxides were eliminated by the time - varying kalman filter design. xv
Benzer Tezler
- Indentification and model predictive control of the raw material blending process in cement industry
Çimento endüstrisinde hammadde harmanlama prosesinin tanılanması ve model öngörülü kontrolü
AYHAN KURAL
- Çimento endüstrisinde hammadde harmanlama prosesinin klasik ve akıllı yöntemler ile modellenmesi
Modling of raw material blending process in cement industry using conventional and intelligent techniques
KEMAL KIZILASLAN
Yüksek Lisans
Türkçe
2004
Makine Mühendisliğiİstanbul Teknik ÜniversitesiMakine Mühendisliği Ana Bilim Dalı
Y.DOÇ.DR. ŞENİZ ERTUĞRUL
- Çimento endüstrisinde harmanlama prosesinin öz uyarlamalı kontrolü
Başlık çevirisi yok
ŞERMİN KARAHASANOĞLU
- Bağcılar Burhan (Tarsus-Mersin) kireçtaşlarının hammadde özelliklerinin araştırılması
Investigation of the limestone usage as the raw materials in Bağcılar - Burhan ( Tarsus- Mersin ) area
İLHAN BULDU
Yüksek Lisans
Türkçe
2006
Jeoloji MühendisliğiÇukurova ÜniversitesiJeoloji Mühendisliği Ana Bilim Dalı
PROF.DR. FİKRET İŞLER
