硅酸盐熟料可燃性的实验研究及多基因遗传规划模拟

IF 1 Q4 CHEMISTRY, MULTIDISCIPLINARY Chemistry & Chemical Technology Pub Date : 2021-11-25 DOI:10.23939/chcht15.04.559
Vahab Ghalandari, Hamidreza Bagheri, A. Mohebbi, Hadi Esmaeili
{"title":"硅酸盐熟料可燃性的实验研究及多基因遗传规划模拟","authors":"Vahab Ghalandari, Hamidreza Bagheri, A. Mohebbi, Hadi Esmaeili","doi":"10.23939/chcht15.04.559","DOIUrl":null,"url":null,"abstract":"In this study, the effect of chemical composition of the raw material on the clinker burnability was studied by determination of free CaO (wt %) content of clinker. The burnability of two types of Portland clinker was investigated for silica modules of 2.3, 2.5 and 2.7 and lime saturation factor of 0.88–0.98. In addition, using the Multi-gene genetic programming (MGGP) model, the burnability of clinker was predicted. The results of MGGP model indicated that the performance of the model for predicting the amount of free CaO (wt %) was acceptable. Moreover, using MGGP, a promising correlation was introduced for accurately calculating the amount of free CaO (wt %). The performance of this correlation was compared with FL-Smidth, and it was established that the average errors of MGGP correlation and FL-Smidth equation were 2.95 and 7.45 %, respectively.","PeriodicalId":9793,"journal":{"name":"Chemistry & Chemical Technology","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Experimental Investigation and Multi-Gene Genetic Programming Simulation of Portland Clinker Burnability\",\"authors\":\"Vahab Ghalandari, Hamidreza Bagheri, A. Mohebbi, Hadi Esmaeili\",\"doi\":\"10.23939/chcht15.04.559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, the effect of chemical composition of the raw material on the clinker burnability was studied by determination of free CaO (wt %) content of clinker. The burnability of two types of Portland clinker was investigated for silica modules of 2.3, 2.5 and 2.7 and lime saturation factor of 0.88–0.98. In addition, using the Multi-gene genetic programming (MGGP) model, the burnability of clinker was predicted. The results of MGGP model indicated that the performance of the model for predicting the amount of free CaO (wt %) was acceptable. Moreover, using MGGP, a promising correlation was introduced for accurately calculating the amount of free CaO (wt %). The performance of this correlation was compared with FL-Smidth, and it was established that the average errors of MGGP correlation and FL-Smidth equation were 2.95 and 7.45 %, respectively.\",\"PeriodicalId\":9793,\"journal\":{\"name\":\"Chemistry & Chemical Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2021-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemistry & Chemical Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23939/chcht15.04.559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry & Chemical Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23939/chcht15.04.559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

摘要

本文通过测定熟料中游离CaO (wt %)含量,研究了原料化学成分对熟料可燃性的影响。在二氧化硅模量为2.3、2.5和2.7,石灰饱和系数为0.88 ~ 0.98的条件下,考察了两种硅酸盐熟料的可燃性。此外,利用多基因遗传规划(MGGP)模型对熟料的可燃性进行了预测。MGGP模型的结果表明,该模型预测游离CaO量(wt %)的性能是可以接受的。此外,使用MGGP,引入了一个有希望的相关性,以准确计算游离CaO的量(wt %)。将该相关性与fl - smith方程的性能进行比较,得出MGGP相关性和fl - smith方程的平均误差分别为2.95%和7.45%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Experimental Investigation and Multi-Gene Genetic Programming Simulation of Portland Clinker Burnability
In this study, the effect of chemical composition of the raw material on the clinker burnability was studied by determination of free CaO (wt %) content of clinker. The burnability of two types of Portland clinker was investigated for silica modules of 2.3, 2.5 and 2.7 and lime saturation factor of 0.88–0.98. In addition, using the Multi-gene genetic programming (MGGP) model, the burnability of clinker was predicted. The results of MGGP model indicated that the performance of the model for predicting the amount of free CaO (wt %) was acceptable. Moreover, using MGGP, a promising correlation was introduced for accurately calculating the amount of free CaO (wt %). The performance of this correlation was compared with FL-Smidth, and it was established that the average errors of MGGP correlation and FL-Smidth equation were 2.95 and 7.45 %, respectively.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Chemistry & Chemical Technology
Chemistry & Chemical Technology CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
1.70
自引率
44.40%
发文量
60
期刊最新文献
Synthesis of Heterocyclic Pyridine-Based Chalcones with Dimeric Structure Optimization of Epoxidation Palm-Based Oleic Acid to Produce Polyols Studying the Effect of Butanol on the Anode Behavior of Copper in Phosphoric Acid Solutions Telechelic Oligo(N-Vinylpyrolydone)swith Cumene Based Terminal Groups for Block-Copolymer and Nanoparticle Obtaining Nanotechnologies for Preparation and Application of Metallic Nickel
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1