Article(id=1202256143079924102, tenantId=1146029695717560320, journalId=1185652524569653253, issueId=1202256135920246978, articleNumber=1009-5438(2025)05-0014-04, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1751904000000, receivedDateStr=2025-07-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1764569801349, onlineDateStr=2025-12-01, pubDate=1761321600000, pubDateStr=2025-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1764569801349, onlineIssueDateStr=2025-12-01, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1764569801349, creator=13701087609, updateTime=1764569801349, updator=13701087609, issue=Issue{id=1202256135920246978, tenantId=1146029695717560320, journalId=1185652524569653253, year='2025', volume='51', issue='5', pageStart='1', pageEnd='98', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1764569799642, creator=13701087609, updateTime=1764570051432, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1202257192083747509, tenantId=1146029695717560320, journalId=1185652524569653253, issueId=1202256135920246978, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1202257192083747510, tenantId=1146029695717560320, journalId=1185652524569653253, issueId=1202256135920246978, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=14, endPage=17, ext={EN=ArticleExt(id=1202256143423857042, articleId=1202256143079924102, tenantId=1146029695717560320, journalId=1185652524569653253, language=EN, title=Experimental Research on Multi-variety Ore Blending in Sintering of Baotou Steel, columnId=1187100781414069182, journalTitle=Science & Technology of Baotou Steel, columnName=Production Practices and Management, runingTitle=null, highlight=null, articleAbstract=

In this article, the increase of ore types blended under the current condition of proportion of iron concentrate in sintering of Baotou Steel is researched as well as optimal ore blending scheme is proposed through comprehensive evaluation of sinter from such aspects as the chemical composition, size composition and metallurgical performances. The research results showed that the quality indexes of sinter in scheme 4 (45% self-produce iron concentrate+31% Mac fines+11%FMG mixed ore fines+5% high-silicon Brazilian rough ore fines+4% Indian ore fines+3% limonite) reached optimal values, solid fuel consumption was decreased by 3.46 kg/t compared with that of benchmark scheme, finished product rate was increased by 3.09 percentage point, drum strength was increased by 2.54 percentage point and average particle size was increased by 0.37 mm so that this scheme was preferred.

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文章研究了包钢烧结在目前铁料配比条件下,增加配矿种类,从化学成分、粒度组成及冶金性能等方面对烧结矿进行综合评价,提出最优的配矿方案。研究结果表明,方案4(45%自产铁精矿+31%麦克粉矿+11%FMG混合粉矿+5%高硅巴西粗粉矿+4%印度粉矿+3%褐铁矿)烧结矿质量指标达到最优值,固体燃耗较基准方案降低了3.46 kg/t,成品率提高了3.09个百分点,转鼓强度提高了2.54个百分点,平均粒度增加了0.37 mm,该方案为首选方案。

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李玉柱(1984-),男,内蒙古呼和浩特市人,高级工程师,现从事炼铁生产工艺研究工作。

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李玉柱(1984-),男,内蒙古呼和浩特市人,高级工程师,现从事炼铁生产工艺研究工作。

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李玉柱(1984-),男,内蒙古呼和浩特市人,高级工程师,现从事炼铁生产工艺研究工作。

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原料名称 TFe FeO CaO SiO2 MgO F P S K2O Na2O Al2O3 Ig
混合铁精矿 65.90 27.7 0.98 2.70 0.58 0.31 0.064 0.69 0.11 0.15 0.118 1.46
麦克粉矿 59.77 <0.5 <0.1 4.40 0.16 0.088 2.51 5.99
FMG混合粉矿 58.28 <0.5 0.05 5.30 0.12 0.079 2.72 7.44
高硅巴西粗粉矿 55.01 1.75 1.17 13.4 0.58 0.064 0.036 0.043 0.02 3.18 3.49
蒙古中硫粉矿 55.78 18.86 1.65 6.06 4.30 0.125 0.059 0.968
蒙古高硫铁精矿 60.57 24.05 1.68 4.45 3.08 0.06 0.04 2.58 0.192 0.11 1.71 2.61
印度粉矿 52.88 0.5 0.19 14.6 0.08 0.05 0.04 0.01 4.84 3.50
褐铁矿 40.91 0.5 2.64 30.5 1.29 0.05 0.05 0.04 0.042 0.051 0.406 7.54
石灰石 51.30 2.58 2.30 42.6
生石灰 84.00 3.65 3.30 7.8
白云石 31.09 2.36 19.86 45.9
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试验含铁原料、熔剂的化学成分及烧损(质量分数) %

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原料名称 TFe FeO CaO SiO2 MgO F P S K2O Na2O Al2O3 Ig
混合铁精矿 65.90 27.7 0.98 2.70 0.58 0.31 0.064 0.69 0.11 0.15 0.118 1.46
麦克粉矿 59.77 <0.5 <0.1 4.40 0.16 0.088 2.51 5.99
FMG混合粉矿 58.28 <0.5 0.05 5.30 0.12 0.079 2.72 7.44
高硅巴西粗粉矿 55.01 1.75 1.17 13.4 0.58 0.064 0.036 0.043 0.02 3.18 3.49
蒙古中硫粉矿 55.78 18.86 1.65 6.06 4.30 0.125 0.059 0.968
蒙古高硫铁精矿 60.57 24.05 1.68 4.45 3.08 0.06 0.04 2.58 0.192 0.11 1.71 2.61
印度粉矿 52.88 0.5 0.19 14.6 0.08 0.05 0.04 0.01 4.84 3.50
褐铁矿 40.91 0.5 2.64 30.5 1.29 0.05 0.05 0.04 0.042 0.051 0.406 7.54
石灰石 51.30 2.58 2.30 42.6
生石灰 84.00 3.65 3.30 7.8
白云石 31.09 2.36 19.86 45.9
), ArticleFig(id=1202266696296915942, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
名称 Fcd Ad Vdaf St,d Mt
焦粉 82.00 16.18 2.17 0.90 2.4
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燃料工业分析(质量分数) %

, figureFileSmall=null, figureFileBig=null, tableContent=
名称 Fcd Ad Vdaf St,d Mt
焦粉 82.00 16.18 2.17 0.90 2.4
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试验方案 自产矿 麦克粉矿 FMG混合粉矿 蒙古高硫铁精矿 高硅巴西粗粉矿 蒙古粉矿 印度粉矿 褐铁矿
1 41 33 15 11
2 45 30 9 11 5
3 45 29 8 10 4 4
4 45 31 9 4 4 4 3
5 45 32 11 5 4 3
6 45 29 8 3 9 6
), ArticleFig(id=1202266697651676149, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=CN, label=表3, caption=

铁料配置方案(质量分数) %

, figureFileSmall=null, figureFileBig=null, tableContent=
试验方案 自产矿 麦克粉矿 FMG混合粉矿 蒙古高硫铁精矿 高硅巴西粗粉矿 蒙古粉矿 印度粉矿 褐铁矿
1 41 33 15 11
2 45 30 9 11 5
3 45 29 8 10 4 4
4 45 31 9 4 4 4 3
5 45 32 11 5 4 3
6 45 29 8 3 9 6
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试验方案 化学成分(质量分数)/% 二元碱度
TFe SiO2 CaO MgO F P Al2O3
1 56.95 4.92 10.08 2.01 0.112 0.071 1.737 2.05
2 56.72 5.07 10.39 2.0 0.120 0.069 1.734 2.05
3 56.95 4.96 10.16 1.98 0.122 0.069 1.681 2.05
4 56.52 5.10 10.45 1.96 0.121 0.069 1.623 2.05
5 56.39 5.15 10.55 2.02 0.119 0.069 1.668 2.05
6 56.97 5.02 10.29 1.97 0.122 0.068 1.732 2.05
), ArticleFig(id=1202266697806865404, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=CN, label=表4, caption=

不同铁料配比条件下烧结矿化学成分及碱度

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试验方案 化学成分(质量分数)/% 二元碱度
TFe SiO2 CaO MgO F P Al2O3
1 56.95 4.92 10.08 2.01 0.112 0.071 1.737 2.05
2 56.72 5.07 10.39 2.0 0.120 0.069 1.734 2.05
3 56.95 4.96 10.16 1.98 0.122 0.069 1.681 2.05
4 56.52 5.10 10.45 1.96 0.121 0.069 1.623 2.05
5 56.39 5.15 10.55 2.02 0.119 0.069 1.668 2.05
6 56.97 5.02 10.29 1.97 0.122 0.068 1.732 2.05
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试验方案 混合料水分
/%
干烧成率
/%
成品率
/%
利用系数
/(t·m-2·h-1)
固体燃耗
/(kg·t-1)
垂速
/(mm·min-1)
转鼓强度
/%
1 6.80 89.63 71.67 1.15 64.60 15.56 70.13
2 7.10 92.74 71.21 1.08 62.84 14.64 70.93
3 7.10 90.44 73.35 1.14 62.56 14.95 70.93
4 7.10 90.79 74.76 1.19 61.14 15.41 72.67
5 7.08 90.07 73.40 1.11 62.77 14.68 70.53
6 7.10 90.23 73.79 1.14 62.33 15.05 71.87
), ArticleFig(id=1202266698003996677, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=CN, label=表5, caption=

烧结经济技术指标的变化

, figureFileSmall=null, figureFileBig=null, tableContent=
试验方案 混合料水分
/%
干烧成率
/%
成品率
/%
利用系数
/(t·m-2·h-1)
固体燃耗
/(kg·t-1)
垂速
/(mm·min-1)
转鼓强度
/%
1 6.80 89.63 71.67 1.15 64.60 15.56 70.13
2 7.10 92.74 71.21 1.08 62.84 14.64 70.93
3 7.10 90.44 73.35 1.14 62.56 14.95 70.93
4 7.10 90.79 74.76 1.19 61.14 15.41 72.67
5 7.08 90.07 73.40 1.11 62.77 14.68 70.53
6 7.10 90.23 73.79 1.14 62.33 15.05 71.87
), ArticleFig(id=1202266698108854280, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
试验方案 粒度组成(质量分数)/% 平均粒度
/mm
>40 mm 40~25 mm 25~16 mm 16~10 mm 10~5 mm
1 9.56 37.94 25.81 20.70 5.99 25.54
2 14.30 39.64 21.04 19.19 5.82 27.28
3 11.61 41.42 20.64 20.17 6.16 26.58
4 7.90 43.78 23.24 19.70 5.38 25.91
5 12.10 42.00 21.11 18.73 6.05 26.92
6 14.48 37.97 21.18 20.93 5.44 27.05
), ArticleFig(id=1202266698205323275, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=CN, label=表6, caption=

烧结矿粒度组成的变化

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试验方案 粒度组成(质量分数)/% 平均粒度
/mm
>40 mm 40~25 mm 25~16 mm 16~10 mm 10~5 mm
1 9.56 37.94 25.81 20.70 5.99 25.54
2 14.30 39.64 21.04 19.19 5.82 27.28
3 11.61 41.42 20.64 20.17 6.16 26.58
4 7.90 43.78 23.24 19.70 5.38 25.91
5 12.10 42.00 21.11 18.73 6.05 26.92
6 14.48 37.97 21.18 20.93 5.44 27.05
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试验
方案
RDI+3.15 mm
/%
软融性能
T4
/
T10
/
T40
/
T40-T10
/
TS
/℃
Td
/℃
Td-TS
/℃
Td-T10
/
最大压差
/Pa
1 80.0 1 170 1 203 1 302 99 1 323 1 541 218 338 8 282
2 79.3 1 156 1 189 1 293 104 1 325 1 565 240 376 22 742
3 89.5 1 196 1 224 1 313 89 1 335 1 557 222 333 21 050
4 75.8 1 176 1 207 1 308 101 1 332 1 569 237 362 26 504
5 83.4 1 180 1 211 1 308 97 1 333 1 574 241 363 12 897
6 88.4 1 177 1 208 1 308 100 1 338 1 569 231 361 7 887
), ArticleFig(id=1202266698448592916, tenantId=1146029695717560320, journalId=1185652524569653253, articleId=1202256143079924102, language=CN, label=表7, caption=

烧结矿的冶金性能

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试验
方案
RDI+3.15 mm
/%
软融性能
T4
/
T10
/
T40
/
T40-T10
/
TS
/℃
Td
/℃
Td-TS
/℃
Td-T10
/
最大压差
/Pa
1 80.0 1 170 1 203 1 302 99 1 323 1 541 218 338 8 282
2 79.3 1 156 1 189 1 293 104 1 325 1 565 240 376 22 742
3 89.5 1 196 1 224 1 313 89 1 335 1 557 222 333 21 050
4 75.8 1 176 1 207 1 308 101 1 332 1 569 237 362 26 504
5 83.4 1 180 1 211 1 308 97 1 333 1 574 241 363 12 897
6 88.4 1 177 1 208 1 308 100 1 338 1 569 231 361 7 887
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包钢烧结多品种配矿试验研究
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李玉柱 1 , 梁海全 2 , 张绅 1 , 张永 1
包钢科技 | 生产实践与管理 2025,51(5): 14-17
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包钢科技 | 生产实践与管理 2025, 51(5): 14-17
包钢烧结多品种配矿试验研究
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李玉柱1, 梁海全2, 张绅1, 张永1
作者信息
  • 1 内蒙古包钢钢联股份有限公司技术中心,内蒙古 包头 014010
  • 2 内蒙古包钢钢联股份有限公司稀土钢炼铁厂,内蒙古 包头 014010
  • 李玉柱(1984-),男,内蒙古呼和浩特市人,高级工程师,现从事炼铁生产工艺研究工作。

Experimental Research on Multi-variety Ore Blending in Sintering of Baotou Steel
Yuzhu Li1, Haiquan Liang2, Shen Zhang1, Yong Zhang1
Affiliations
  • 1 Technical Center of Inner Mongolia Baotou Steel Union Co., Ltd., Baotou 014010, Inner Mongolia Autonomous Region, China
  • 2 Rare Earth Steel Iron-making Plant of Inner Mongolia Baotou Steel Union Co., Ltd., Baotou 014010, Inner Mongolia Autonomous Region, China
出版时间: 2025-10-25
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文章研究了包钢烧结在目前铁料配比条件下,增加配矿种类,从化学成分、粒度组成及冶金性能等方面对烧结矿进行综合评价,提出最优的配矿方案。研究结果表明,方案4(45%自产铁精矿+31%麦克粉矿+11%FMG混合粉矿+5%高硅巴西粗粉矿+4%印度粉矿+3%褐铁矿)烧结矿质量指标达到最优值,固体燃耗较基准方案降低了3.46 kg/t,成品率提高了3.09个百分点,转鼓强度提高了2.54个百分点,平均粒度增加了0.37 mm,该方案为首选方案。

配矿  /  评价  /  烧结矿

In this article, the increase of ore types blended under the current condition of proportion of iron concentrate in sintering of Baotou Steel is researched as well as optimal ore blending scheme is proposed through comprehensive evaluation of sinter from such aspects as the chemical composition, size composition and metallurgical performances. The research results showed that the quality indexes of sinter in scheme 4 (45% self-produce iron concentrate+31% Mac fines+11%FMG mixed ore fines+5% high-silicon Brazilian rough ore fines+4% Indian ore fines+3% limonite) reached optimal values, solid fuel consumption was decreased by 3.46 kg/t compared with that of benchmark scheme, finished product rate was increased by 3.09 percentage point, drum strength was increased by 2.54 percentage point and average particle size was increased by 0.37 mm so that this scheme was preferred.

ore blending  /  evaluation  /  sinter
李玉柱, 梁海全, 张绅, 张永. 包钢烧结多品种配矿试验研究. 包钢科技, 2025 , 51 (5) : 14 -17 .
Yuzhu Li, Haiquan Liang, Shen Zhang, Yong Zhang. Experimental Research on Multi-variety Ore Blending in Sintering of Baotou Steel[J]. Science & Technology of Baotou Steel, 2025 , 51 (5) : 14 -17 .
在整个炼铁生产过程中,烧结矿占到了入炉原料的70%以上[1],而在烧结生产过程中,原料成本占烧结矿成本的80%左右[2]。为进一步降低铁前原料成本,目前包钢烧结工艺自产铁精矿配比已经达到了40%~50%,受资源储量、供应能力及白云鄂博矿特殊性的限制,烧结工艺很难进一步提高自产铁精矿的配比。因此提高经济料种在烧结原料中的使用比例,是降低烧结矿成本,进一步降低铁水成本的有效途径。在烧结工艺中如何合理配加部分性价比良好的经济料种对于降低铁前成本,进一步提质增效具有重要的意义[3]。本文通过开展不同种类的经济料种在烧结工序的试验研究,开发出适合包钢烧结工艺的经济料种,并制定其在烧结工艺中合理应用的方案,从而进一步降低烧结矿成本。
试验原料均取自炼铁厂,含铁原料有混合铁精矿、麦克粉矿、FMG混合粉矿、高硅巴西粗粉矿、印度粉矿、蒙古中硫粉矿、蒙古高硫铁精矿;熔剂有石灰石、生石灰、白云石,其中石灰石和生石灰用于调节烧结矿碱度,白云石主要用于调节烧结矿MgO含量,采用焦粉作为燃料。蒙古粉矿具有高SiO2含量和较高K、Na含量的特点,这决定了其具有较好的同化性,蒙古粉矿的另一个特点就是价格相对便宜,烧结工序适当配加可以改善烧结矿的强度,降低烧结矿成本,提高经济效益。印度粉矿粒度组成理想,冶金性能较好,适当配加可以提高烧结透气性。试验原料化学成分见表1表2
试验采用包钢技术中心炼铁研究所直径200 mm烧结杯,料层厚度700 mm,点火负压为6 kPa,烧结负压10 kPa。烧结矿碱度按2.05±0.01控制,烧结矿MgO含量为2.0%±0.1%。试验以包钢炼铁厂三烧车间当前的铁料配置为基准,通过增加铁料配加种类进行烧结杯试验,具体试验方案见表3
共设计了6个烧结杯试验方案,其中方案1(基准点)为当前三烧车间铁料配置,方案2—方案6以目前烧结工序的铁料种类为基础,通过增加蒙古粉矿、印度粉矿及褐铁矿等经济料种的配比,将三烧车间铁料的种类增加到6~7种,考察烧结料种增加后,烧结矿的质量指标的变化。其中方案4和方案5中配加褐铁矿是为了保证烧结矿SiO2含量稳定在原有水平。
化学成分是影响烧结矿质量的因素之一,在烧结工艺参数不变的情况下,适宜的化学成分对改善烧结矿矿相组成以及提高强度尤其重要。对各种配矿方案成品烧结矿取样并检测其化学成分,检测结果如表4所示。由表4可知,不同铁料配比条件下,烧结矿的化学成分及碱度无明显变化,所以烧结矿指标的变化主要考虑铁料种类的变化。
增加铁料种类后烧结经济技术指标的变化见表5
表5可以看出,随着烧结铁料种类的增加,烧结矿成品率整体上较基准点有增加的趋势,其中方案4烧结铁料种类达到7种,烧结矿成品率达到74.76%,较基准点提高了3.09个百分点。
增加蒙古粉矿、印度粉矿等经济料种配比,混合料水分明显增加,烧结垂速整体较基准点小幅下降,因此烧结利用系数较基准点有不同程度的降低,只有方案4利用系数较基准点增加了0.04 t/(m2·h)。
增加烧结铁料种类后,烧结固体燃耗整体较基准点有降低的趋势,方案4降低幅度最高,方案2降低幅度最低,整体降低的幅度为1.76~3.46 kg/t。
增加烧结铁料种类后,烧结矿转鼓强度有增加的趋势,其中方案4中烧结矿的转鼓强度最高,达到72.67%,较基准点提高了2.54个百分点。
综合分析,增加烧结铁料种类后,烧结矿成品率、固体燃耗及转鼓强度等质量指标有改善的趋势。分析认为,不同的铁矿粉之间存在着烧结行为和作用的互补关系,存在互补关系的铁矿粉配加越多,烧结经济技术指标相对越好[4]。在方案4的铁料配比条件下,烧结矿各项质量指标最好。从方案3和方案4的试验结果来看,降低高硅巴西粗粉矿配比,采用褐铁矿调节烧结矿中SiO2含量,有利于提高烧结矿的成品率、转鼓强度等质量指标,因此仅从烧结矿成品率、转鼓强度等质量指标分析,推荐最优的铁料配置方案为“45%自产铁精矿+31%麦克粉矿+9%FMG混合粉矿+4%高硅巴粗+4%蒙古粉矿+4%印度粉矿+3%褐铁矿”。
增加铁料种类后烧结矿粒度组成的变化见表6
表6可知,增加铁料种类后,烧结矿平均粒度较基准点有增加的趋势,提高的幅度为0.37~1.74 mm,主要表现为大于25 mm粒级增加。方案4较方案3增加了褐铁矿的配比,由于褐铁矿在烧结过程中结晶水分解,发生爆裂,易形成大孔薄壁结构,所以40~25 mm粒级较基准点增加了5.84个百分点,平均粒度较基准点增加0.37 mm。不同粒级的烧结矿理想占比为:小粒级(<10 mm)应控制在30%以下,以确保高炉的稳定顺行和良好的冶金性能;中间粒级(40~10 mm)应占较大比例,以保持良好的透气性;大粒级(>40 mm)适量即可,过多会影响高炉炉料的均匀性。对表6中各方案中烧结矿粒度进行分析,方案4烧结矿粒度组成最为合理。
不同配比条件下烧结矿冶金性能检测数据见表7
表7可知,从烧结矿的软熔、滴落性能数据上整体分析,烧结自产矿比例提高后,烧结矿的滴落温度(Td)提高,较基准点提高了24~33 ℃,滴落区间(Td-TS)较基准点提高了4~23 ℃,软融区间较基准点提高了5~38 ℃。从方案2、方案6的软融性能综合分析,方案2的软化温度最低,软融区间最宽,因此不推荐,方案3的软融、滴落性能整体上最优,但烧结矿转鼓强度较方案4差,方案4、5、6的冶金性能整体变化不大,综合烧结矿的质量指标,推荐方案4为三烧的铁料配比。
(1)烧结杯试验研究结果表明,降低烧结中高硅巴西粗粉矿和FMG混合粉矿配比的同时增加蒙古粉矿和印度粉的配比,并采用褐铁矿调节烧结中SiO2含量有利于提高烧结矿的成品率、转鼓强度等质量指标。
(2)方案4烧结矿质量指标达到最优值,固体燃耗较基准降低了3.46 kg/t,成品率和转鼓强度分别提高了3.09和2.54个百分点,平均粒度增加了0.37 mm。因此铁料配比为“45%自产铁精矿+31%麦克粉矿+11%FMG混合粉矿+5%高硅巴西粗粉矿+4%印度粉矿+3%褐铁矿”的配矿方案为首选方案。
参考文献 引证文献
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杨东进, 陈继国, 于忠念, 等. 烧结配料优化分析[J]. 烧结球团, 2000, 25(1):14-71.
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2025年第51卷第5期
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  • 接收时间:2025-07-08
  • 首发时间:2025-12-01
  • 出版时间:2025-10-25
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  • 收稿日期:2025-07-08
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    1 内蒙古包钢钢联股份有限公司技术中心,内蒙古 包头 014010
    2 内蒙古包钢钢联股份有限公司稀土钢炼铁厂,内蒙古 包头 014010
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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