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申请号:201911392086.6 公开号:CN111054881A 主分类号:B21K1/20
摘要:【中文】本发明涉及一种深海采油设备用采油树本体锻件制造工艺,包括选取坯料,进炉加热到1250℃后,沿钢锭长度方向镦粗;坯料进炉加热,坯料出炉,始锻温度1250℃~1200℃,且停锻温度为850℃~800℃,对坯料轴向进行拔长,再对镦粗后的坯料进行扁方截面拔长;重复上述镦粗和拔长、扁方截面拔长一次,对压实锻透的坯料沿轴向锻打成八方棱轴,再经过压印切肩、锻出台阶、滚圆整形,使总锻造比为4.5,得到台阶轴锻坯;加热至930℃并保温13小时后,出炉后空冷至室温;沿轴向车出中心通孔及车去锻坯黑皮,得到空心台阶工件;加热至920℃并保温13小时后,水淬;加热至650℃并保温25小时后,空冷至室温。本发明得到锻件密实度更高,性能更稳定。 【EN】The invention relates to a manufacturing process of a Christmas tree body forge piece for deep sea oil extraction equipment, which comprises the steps of selecting a blank, heating the blank in a furnace to 1250 ℃, and upsetting the blank along the length direction of a steel ingot; heating the blank in a furnace, discharging the blank out of the furnace, drawing the blank in the axial direction at the initial forging temperature of 1250-1200 ℃ and the stop forging temperature of 850-800 ℃, and drawing the flat square section of the blank after upsetting; repeating the upsetting and the drawing, and drawing the flat square section once, forging the compacted and forged blank into an octagonal shaft along the axial direction, and then carrying out stamping, shoulder cutting, step forging and rounding shaping to obtain a step shaft forging blank with a total forging ratio of 4.5; heating to 930 ℃ and preserving heat for 13 hours, discharging and then cooling to room temperature in air; turning a central through hole along the axial direction and turning to remove the black skin of the forging stock to obtain a hollow step workpiece; heating to 920 ℃ and preserving the temperature for 13 hours, and then water quenching; heating to 650 ℃ and keeping the temperature for 25 hours, and then cooling to room temperature in air. The forging obtained by the method has higher compactness and more stable performance.
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申请号:201911406417.7 公开号:CN111054865A 主分类号:B21J1/00
摘要:【中文】本发明涉及一种基于钢锭内部缺陷分级指导深海采油设备弯头锻件的锻造工艺选择方法,包括以下步骤:钢锭内部缺陷检测,检测结果分级:根据探伤的波形将探伤分为5个级别;根据探伤分级选定锻造工艺:随着探伤等级的增大,锻造的温度升高,锻造比增大,锻造速度增大,锻造次数增多。通过本发明方法可以得到准确的钢锭坯料的制作工艺,正确指导生产,避免出现因原材料(钢锭坯料)的缺陷或者锻造工艺的问题带来锻件的报废,造成材料浪费和财产损失。 【EN】The invention relates to a forging process selection method for guiding a deep-sea oil extraction equipment elbow forge piece based on steel ingot internal defect classification, which comprises the following steps of: detecting internal defects of the steel ingot, and grading detection results: dividing flaw detection into 5 grades according to flaw detection waveforms; selecting a forging process according to flaw detection classification: with the increase of the flaw detection grade, the forging temperature is increased, the forging ratio is increased, the forging speed is increased, and the forging times are increased. The method can obtain an accurate steel ingot blank manufacturing process, correctly guide production, and avoid material waste and property loss caused by the scrapping of forgings due to the defects of raw materials (steel ingot blanks) or the problems of a forging process.
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申请号:201911412621.X 公开号:CN111060595A 主分类号:G01N29/04
摘要:【中文】本发明涉及一种基于钢锭内部缺陷分级质量反馈炼钢工艺的方法,包括钢锭内部缺陷检测:从钢锭长度方向的一端检测另一端,得到超声波探伤的波形;根据探伤的波形将探伤分为5个级别,根据探伤等级确定炼钢工艺存在问题:当探伤等级为2级时,判定炼钢工艺浇筑温度偏高,当探伤等级为3级时,判定炼钢工艺的浇筑温度偏高,以及碳当量偏高,当探伤等级为4级时,判定浇筑钢水中的析出气体偏多,钢水中含锰和硅的含量偏多。本发明通过检测钢锭的缺陷,根据缺陷大小分级,针对性地查找导致该缺陷对应的炼钢工艺上的问题,可定向查找导致钢锭缺陷的原因,并针对性地做工艺改动,具有非常大生产指导意义。 【EN】The invention relates to a steel-making process method based on steel ingot internal defect grading quality feedback, which comprises the following steps of steel ingot internal defect detection: detecting the other end of the steel ingot in the length direction to obtain a waveform of ultrasonic flaw detection; dividing flaw detection into 5 grades according to the flaw detection waveform, and determining the problem of the steel-making process according to the flaw detection grade: when the flaw detection grade is grade 2, the pouring temperature of the steelmaking process is judged to be high, when the flaw detection grade is grade 3, the pouring temperature of the steelmaking process is judged to be high, the carbon equivalent is judged to be high, when the flaw detection grade is grade 4, the precipitated gas in the poured molten steel is judged to be excessive, and the content of manganese and silicon in the molten steel is judged to be excessive. The method has the advantages that the defects of the steel ingots are detected, the problems in the steel-making process corresponding to the defects are searched for in a targeted manner according to the size of the defects, the reasons for the defects of the steel ingots can be searched for in a targeted manner, process modification is performed in a targeted manner, and the method has great production guiding significance.
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