砂和粘结剂组成对醇酸型无焙化学粘结砂型铸造系统结晶器性能影响的实验研究

J. Keerthana
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引用次数: 0

摘要

与绿砂模相比,化学键合树脂砂模具有更好的尺寸精度、表面质量和砂模质量。为了在浇注熔融金属时经受住砂粒的冲击,使用化学键合砂型技术形成的型腔必须具有适当的渗透性、强度和硬度。对更好的渗透性、强度和模具硬度的期望是基于对影响参数(如树脂百分比、硬化剂和催化剂)的彻底调查和分析。研究了粘结剂含量对醇酸油聚氨酯粘结剂粘结硅砂成型质量的影响。实验物料采用振动筛进行筛分,并与粘结剂人工混合。采用冲砂机制备AFS标准试件(直径50 mm ×高50 mm),采用通用砂强机、渗透仪和模具硬度计确定4个关键成型参数:绿色抗压强度(GCS)、绿色抗剪强度(GSS)、渗透性和模具硬度。对于最小实验,使用Box-Behnken实验矩阵,并确定影响因素及其相互作用的统计显著性,以管理过程。为了统计验证模型,使用Minitab进行方差分析(ANOVA)检验。模具硬度、强度和渗透率都有自己的数学方程,根据实验的投入产出数据,将其表述为输入因素的非线性函数。为了优化工艺参数,使用了响应优化器(使用Minitab)。结果表明,树脂浓度从1%增加到2%,提高了透气性和GSS,降低了GCS和模具硬度。硬化剂从18%增加到20%,导致透气性和GSS下降,但GCS和结晶器硬度增加。同样,将催化剂浓度从2%增加到10%,可以降低渗透性和模具硬度,同时提高GCS和GSS。
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Experimental Investigation of the Influence of Sand and Binder Composition on the Mold Properties of Alkyd Type No-Bake Chemically Bonded Sand-Casting System
In comparison to green sand moulds, chemically bonded resin sand moulds have better dimensional accuracy, surface quality, and sand mould qualities. To survive sand drops when pouring molten metal, the mould cavity formed using a chemically bonded sand mould technique must have appropriate permeability, strength, and hardness. The desire for better permeability, strength, and mould hardness is based on a thorough investigation and analysis of the affecting parameters, such as resin percentage, hardener, and catalyst. The influence of binder content on the moulding qualities of silica sand bound with Alkyd oil urethane binder was investigated. Using a sieve shaker, the experimental materials were sieved and manually blended with the binders. AFS standard test specimens (50 mm diameter by 50 mm height) were prepared using a sand rammer, and four key moulding parameters were determined using a universal sand strength machine, permeability meter, and mould hardness tester: green compression strength (GCS), green shear strength (GSS), permeability, and mould hardness. For the minimal experiments, Box-Behnken experimental matrices were used, and the statistical significance of influencing factors and their interactions will be identified to manage the process. To statistically validate the model, an analysis of variance (ANOVA) test was performed using Minitab. Mold hardness, strength, and permeability will each have their own mathematical equation, which was stated as a nonlinear function of input factors based on experimental input-output data. To optimize the process parameters, a response optimizer (using Minitab) has been used. The results revealed that increasing the resin concentration from 1% to 2% enhances permeability and GSS while decreasing GCS and mould hardness. Hardener was increased from 18 to 20%, which resulted in a drop in permeability and GSS but an increase in GCS and mould hardness. Similarly, increasing the catalyst concentration from 2% to 10% reduces permeability and mould hardness while increasing GCS and GSS.
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