湿型砂力学本质特征曲线的研究

用自制的型砂多项性能测试仪,获得了型砂抗压、松弛、抗剪和抗拉测试过程中的应力--应变本质特征曲线,并对它们进行了研究,在特征曲线上确定了反映型砂本质性能的8项性能参数,考察了膨润土含量和紧实率对型砂本质特征曲线和型砂性能参数的影响.型砂力学本质特征曲线决定于型砂的内部微观组织结构,反映出型砂的粘弹性和粘塑性等本质性能,体现出型砂在受力变形过程中的微变形本质特征.     

湿型砂力学本质特征曲线的研究

用自制的型砂多项性能测试仪，一应变本质特征曲线，并对它们进行了深入参数，考察了膨润土含量和紧实率对型砂本线决定于型砂的内部微观组织结构，反映出形过程中的微变形本质特征。获得了型砂抗压、松弛、抗剪和抗拉测试过程中的应力一研究，在特征曲线上确定了反映型砂本质性能的八项性能质特征曲线和型砂性能参数的影响。型砂力学本质特征曲型砂的粘弹性和粘塑性等本质性能，体现出型砂在受力变形过程中的微变形本质特征。     

智能化铸造型砂多性能测试仪的开发研究

在型砂微变形理论研究的基础上，基于8098单片机和高精度传感器技术，开发研制出智能化铸造型砂多项性能测试仪，并对其组成结构和测试方法进行了介绍。测试结果表明，该测试仪能够检测出反映型砂本质特性的多个型砂性能参数，提出用其检测三个新的性能参数来评定型砂的粘弹性性能和粘塑性性能。     

型砂性能检测的新探索

本文介绍研制的一种型砂性能检测系统。在该系统中，通过对标准砂样的测试，能迅速、准确地测得砂样受载过程中的应力──应变的动态关系曲线及反映型砂本质特征的几项性能参数，这是型砂性能检测领域中的新探索，其中型砂粘弹性指标及塑性变形临界值乃是型砂性能方面的新概念。     

荣获2004年度辽宁省技术发明二等奖项目智能化铸造型砂多项力学性能测试仪成果简介

该智能化铸造型砂多项力学性能测试仪根据型砂微变形新理论、新概念和流变学、铸造工艺学等相关理论，运用当代先进的测试技术和计算机技术，采用动态测试方法，通过对四个标准砂样抗压、松弛、抗剪、抗拉过程的动态测试，可迅速、准确的测得被测砂样的应力——应变动态特征曲线及反映型砂本质的八项力学性能参数：型砂的抗压强度、弹性模量、塑性变形临界值、回弹势能、抗剪强度、剪切变形极限、韧性指数及抗拉强度，从而可以全面、综合的评定型砂性能的优劣；它克服了以往国内外型砂性能测试仪测值的单一性、片面性和精度低等弊病。该测试仪测试方法科学、合理，所测八项型砂力学性能参数均是被测标准砂样受载变形特征曲线上的特征点或其特征函数所对应的特征值，具有准确、具体的物理意义；其中的型砂塑性变形临界值、回弹势能均系反映型砂本质特征性能的新概念。     

智能化铸造型砂多项性能测试仪的开发研究

在型砂微变形理论研究的基础上,基于8098单片机和高精度传感器技术,开发研制出新型智能化铸造型砂多项性能测试仪,介绍了测试仪的组成结构和测试方法。实测结果表明:智能化测试仪能够检测出反映型砂本质特性的多个型砂性能参数,所测数据误差小,测试精度高。提出用智能化测试仪检测3个新的性能参数来评定型砂的粘弹性性能和粘塑性性能。     

铸造湿型砂粘塑性性能的研究

本文基于流变学和型砂微变形理论，对湿型砂粘塑性性能进行了研究，对湿型砂的粘塑性本质进行了深入分析，并对反映型砂粘塑性的性能指标—塑变临界值—进行了检测和实验研究，考察了膨润土含量和紧实率对塑变临界值的影响。本文还对标准砂样抗压测试过程的本质特征曲线进行了详细分析，将砂样抗压变形过程分为粘弹性变形、粘塑性变形和砂样破裂三个阶段。     

荣获2004年度辽宁省技术发明二等奖项目 智能化铸造型砂多项力学性能测试仪成果简介

该智能化铸造型砂多项力学性能测试仪根据型砂微变形新理论、新概念和流变学、铸造工艺学等相关理论，运用当代先进的测试技术和计算机技术，采用动态测试方法，通过对四个标准砂样抗压、松弛、抗剪、抗拉过程的动态测试，可迅速、准确的测得被测砂样的应力-应变动态特征曲线及反映型砂本质的八项力学性能参数：型砂的抗压强度、弹性模量、塑性变形临界值、回弹势能、抗剪强度、剪切变形极限、韧性指数及抗拉强度，从而可以全面、综合的评定型砂性能的优劣；它克服了以往国内外型砂性能测试仪测值的单一性、片面性和精度低等弊病。     

荣获2004年度辽宁省技术发明二等奖项目——智能化铸造型砂多项力学性能测试仪成果简介

该智能化铸造型砂多项力学性能测试仪根据型砂做变形新理论、新概念和流变学、铸造工艺学等相关理论，运用当代先进的测试技术和计算机技术．采用功态测试方法．通过对四个标准砂佯抗压、松弛、抗剪、抗拉过程的动态测试，可迅速、准确的测得被测砂样的应力--应变动态特征曲线及反映型砂本质的八项力学性能参数：型砂的抗压强度、弹性模量、塑性变形临界值、回弹势能、抗剪强度、剪切变形极限、韧性指数及抗拉强度，从而可以全面、综合的评定型砂性能的优劣；     

荣获2004年度辽宁省技术发明二等奖项目智能化铸造型砂多项力学性能测试仪成果简介

中国发明专利(ZL93 1 15765．X，ZL94 1 12642．0)该智能化铸造型砂多项力学性能测试仪根据型砂微变形新理论、新概念和流变学、铸造工艺学等相关理论，运用当代先进的测试技术和计算机技术，采用动态测试方法，通过对四个标准砂样抗压、松弛、抗剪、抗拉过程的动态测试，可迅速、准确的测得被测砂样的应力——应变动态特征曲线及反映型砂本质的八项力学性能参数：型砂的抗压强度、弹性模量、塑性变形临界值、同弹势能、抗剪强度、剪切变形极限、韧性指数及抗拉强度，从而可以全面、综合的评定型砂性能的优劣；它克服了以往国内外型砂性能…     

An innovative tester system for measuring mechanical property of foundry molding sand

1 .Introduction Molding sand ProPerties are elosely relevant to castingquality.During molding Proeess,molding sand ProPertiesean direetly affeet the quality of molds ineluding strength,dimension aeeuracy of mold     

铸造湿型砂弹性模量测量及粘弹性的研究

弹性模量是一个与型砂性能密切相关的重要物理参数。基于流变学和型砂微变形理论,用所研制的智能化型砂多项性能测试仪对型砂的弹性模量进行了测量研究。评述了型砂弹性模量的测试方法。试验研究了膨润土含量和紧实率对型砂弹性模量值的影响。并对湿型砂的粘弹性本质进行了分析,认为型砂的粘弹性变形主要是粘土膜开尔文体的弹性变形,型砂弹性模量取决于砂粒间粘土膜开尔文体弹性元件的弹性模量,可以将弹性模量作为型砂性能检测参数之一,用于评定型砂的粘弹性性能。     

Measurement of elastic modulus and evaluation of viscoelasticity of foundry green sand

Elastic modulus is an important physical parameter of molding sand; it is closely connected with molding sand's properties. Based on theories of rheology and molding sand microdeformation, elastic modulus of molding sand was measured and investigated using the intelligent molding sand multi-property tester developed by ourselves. The measuring principle was introduced. Effects of bentonite percentage and compactibility of the molding sand were experimentally studied. Furthermore, the essential viscoelastic nature of green sand was analyzed. It is considered that viscoelastic deformation of molding sand consists mainly of that of Kelvin Body of clay membrane, and elastic modulus of molding sand depends mainly on that of Kelvin Body which is the elastic component of clay membrane between sands. Elastic modulus can be adopted as one of the property parameters, and can be employed to evaluate the viscoelastic properties of molding sand.     

铸造湿型砂粘塑性的研究

基于流变不和型砂微变形理论,研究了湿型砂的粘塑性,对湿砂的粘塑性本质进行了分析,并对反映砂粘塑性的性能指标－塑变临界值进行了检测和试验研究。考察了膨润土含曦和紧实率对塑变临界的影响。还对标准砂样抗压测试过程的本质特征曲线进行了分析,认为,可将砂样抗压变形过程分为粘弹性变形、粘塑性变形手砂样破裂三个阶段。     

Optimization of green sand mould system using Taguchi based grey relational analysis

The strength of the mould cavity in sand casting is very much significant to attain high-quality castings. Optimization of green sand process parameters plays a vital role in minimizing casting defects. In the present research work, the effect of process parameters such as AFS grain fineness number, water, molasses, bentonite, fly ash, and ramming, and their levels on the resultant mould properties were investigated and optimized using Taguchi based grey relational analysis. The Taguchi L18 orthogonal array and analysis of variance(ANOVA) were used. The quality characteristics viz., green compression strength, permeability, bulk density, mould hardness and shatter index of green sand mould were optimized using grey relational grade, based on the experiments designed using Taguchi's Design of Experiments. ANOVA analysis indicated that water content is the most influential parameter followed by bentonite, and degree of ramming that contributes to the quality characteristics. The results are confirmed by calculating confidence intervals, which lies within the interval limits. Finally, microstructure observations and X-ray diffraction analysis have been performed for the optimal sand parametric combination. Results show that presence of maximum amount of SiO_2, which might be the reason for enhancement of the physical properties of the sand.     

镁合金应用石墨砂湿型铸造的实践

总结了采用石墨砂湿型铸造镁合金的经验，分析了镁合金铸造的特点。介绍了湿型砂各组分的性能及配比。实践证明，由石墨砂和阻燃剂R-SO4N3，H3BO3等配制成的粘土湿型砂能生产内外质量都良好的镁合金铸件。     

气冲造型线回用旧覆膜砂的生产实践

对采用覆膜砂回用砂混制湿型粘土砂的生产实践进行了介绍,包括砂处理流程、原材料的选用、砂温控制、混制工艺及在线检测等方面的控制要点;指出:采用恰当的加料顺序和混碾时间,并进行在线检测是保证湿型粘土砂质量稳定,进而使与型砂相关的铸件表面缺陷率降低的重要措施。     

Evaluation of green compressive strength of clay bonded moulding sand mix: neural network and neuro-fuzzy based approaches

Abstract

An attempt has been made to develop neural network and neuro-fuzzy based models to predict the green compressive strength of clay bonded moulding sand mixtures and to analyse the properties of the mixed sand. Data for the models were generated following standard experimental procedure in the sand laboratory. Process parameters such as clay content, moisture, coal dust and mulling time were varied. The collected data were used in developing these models. The predicted green compressive strengths by neural network and neuro-fuzzy based models have been found to be in good agreement with the experimental values. Furthermore, it has been observed from the results that the predicted values from the neuro-fuzzy model are more accurate than those predicted from the neural network model.