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Industrial Experiment on Coke Spraying With ZBS Additive in Blast Furnace 被引量:4
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作者 ZHU Zi-zong ZHANG Zhu-ming +3 位作者 TANG Qi-yong YANG Xue-feng ZHANG Kun-hua ZHAO Xian-sheng 《Journal of Iron and Steel Research(International)》 SCIE EI CAS CSCD 2006年第3期14-17,共4页
In order to improve the thermal properties of coke, an industrial experiment on the coke spraying with ZBS additive solution was carried out at coking plant and No. 6 blast furnace (2 000 m^3 ) of Kunming Iron and S... In order to improve the thermal properties of coke, an industrial experiment on the coke spraying with ZBS additive solution was carried out at coking plant and No. 6 blast furnace (2 000 m^3 ) of Kunming Iron and Steel Co Ltd. The coke reaction index (CRI) of the coke spraying with ZBS additive solution decreases by 10. 56 %, and the coke strength after reaction (CSR) increases by 7.80% in comparison with those of the un-sprayed coke. During the experiment, the average iron output increases by 66. 69 t/d, and the coke rate is reduced by 5. 21 kg per ton iron, while the fluctuation of furnace temperture is small, and sulphur content in hot metal and 100% of hot metal are acceptable. 展开更多
关键词 COKE CRI CSR blast furnace industrial experiment
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Optimization of Steel Bar Manufacturing Process Using Six Sigma
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作者 NAEEM Khawar ULLAH Misbah +4 位作者 TARIQ Adnan MAQSOOD Shahid AKHTAR Rehman NAWAZ Rashid HUSSAIN Iftikhar 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2016年第2期332-341,共10页
Optimization of a manufacturing process results in higher productivity and reduced wastes. Production parameters of a local steel bar manufacturing industry of Pakistan is optimized by using six Sigma-Define, measure,... Optimization of a manufacturing process results in higher productivity and reduced wastes. Production parameters of a local steel bar manufacturing industry of Pakistan is optimized by using six Sigma-Define, measure, analyze, improve, and controlmethodology. Production data is collected and analyzed. After analysis, experimental design result is used to identify significant factors affecting process performance. The significant factors are controlled to optimized level using two-level factorial design method. A regression model is developed that helps in the estimation of response under multi variable input values. Model is tested, verified, and validated by using industrial data collected at a local steel bar manufacturing industry of Peshawar(Khyber Pakhtunkhwa, Pakistan). The sigma level of the manufacturing process is improved to 4.01 from 3.58. The novelty of the research is the identification of the significant factors along with the optimum levels that affects the process yield, and the methodology to optimize the steel bar manufacturing process. 展开更多
关键词 steel bar manufacturing industry six sigma yield sigma level design of experiments
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Industrial Experiment of Reducing Superheat of Steel by Nozzle Cooling 被引量:1
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作者 YAN Hui-cheng QIU Sheng-tao +3 位作者 TONG Tai-qin CAI Yun-teng WANG Zhong-ying ZHAO Pei 《Journal of Iron and Steel Research(International)》 SCIE EI CAS CSCD 2011年第6期22-25,共4页
Nozzle cooling equipment is developed to supervise and control the heat flux by changing water flux. An in- dustrial experiment is held in billet caster in Huaigang . The results show that cooling control system works... Nozzle cooling equipment is developed to supervise and control the heat flux by changing water flux. An in- dustrial experiment is held in billet caster in Huaigang . The results show that cooling control system works stably and effectively to control the heat fluxes by the temperature of copper tube. The superheat of steel in mould is reduced and the equiaxed crystal ratio, as well as compact degree of steel is raised. 展开更多
关键词 nozzle cooling low superheat industrial experiment
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