基于RBF神经网络的磨削表面粗糙度预测模型

工件表面粗糙度是反映表面完整性指标中极为重要的一个参数,也是衡量磨削加工质量的重要因素之一,准确地预测磨削表面粗糙度对于快速合理地选择磨削加工工艺参数具有重要意义。通过开展实际磨削实验获得磨削加工数据,对获取的样本数据进行归一化处理以适应RBF神经网络的学习。同时采用循环算法比较得出隐层的最优神经元个数,最终建立了基于径向基函数神经网络的磨削表面粗糙度预测模型,并利用MATLAB进行仿真预测。仿真结果表明:该预测模型准确率很高,能为表面粗糙度预测研究提供可靠数据。     

基于动态惯性权重粒子群算法的磨削低能耗加工方法

利用三层误差反向传播(back propagation, BP)神经网络建立磨削能耗预测模型,以砂轮线速度、进给速度和磨削深度为影响因素设计125组全因子试验,并取其中的75组试验数据作为该预测模型的训练样本与测试样本。采用动态惯性权重改进粒子群算法(adaption particle swarm optimization, APSO),以BP神经网络的预测作为适应度函数,以最小能耗为目标进行迭代寻优获取最优工艺参数。结果表明:模型预测结果较为准确,采用优化后的工艺参数能够有效降低磨削能耗。      

基于改进神经网络算法的螺杆砂带磨削表面粗糙度预测研究

目的 探究工艺参数对螺杆转子砂带磨削表面质量的影响规律。方法 采用工件轴向进给速度为100～300 mm/min、砂带线速度为4.4～13.1 m/s、砂带张紧压力为0.2～0.3 MPa、磨削压力为0.4～0.5 MPa、砂带粒度为120～800目的工艺参数进行螺杆转子砂带磨削正交实验,基于改进的神经网络算法,建立螺杆转子砂带磨削后的表面粗糙度值预测模型,对磨削后的工件表面质量进行预测及分析。在此基础上采用预测模型针对各工艺参数对磨削质量的影响规律进行预测分析。结果 利用多因素磨削实验获得预测样本及对比样本,对比结果表明,预测模型的平均训练精度约为93.38%,预测精度为92.46%。螺杆转子砂带磨削表面粗糙度值的单因素预测结果表明,工件表面粗糙度值随着接触轮正压力及磨削装置轴向进给速度的增加而升高,随着砂带线速度及砂带粒度的增加而降低。结论 提出的算法可为选择螺杆转子砂带磨削的工艺参数提供理论依据。适当提高砂带线速度及砂带粒度、降低接触轮气缸压力及磨削装置轴向进给速度可获得较高的表面质量。     

基于深度神经网络的斜轧穿孔机调整参数预测

针对无缝钢管二辊斜轧穿孔生产工艺中轧机调整参数对钢管质量影响较大，且传统机理公式计算的设定值精度不高的问题，提出了基于深度神经网络的斜轧穿孔机调整参数预测模型。首先，综合分析了传统的调整参数的数学模型，并在此基础上确定了调整参数的主要影响因素。依据现场收集的数据集，训练了二辊斜轧穿孔时轧机参数的深度神经网络预测模型。在训练深度神经网络时，运用小批量梯度下降法和Adam算法相结合的方法进行了梯度估计修正，优化了训练速度。仿真结果表明：经深度神经网络模型预测的轧机调整参数与实测数据比较，预测模型的R-squared值控制在0.98左右，调整参数的相对误差均可控制在5%以内。相比于传统数学模型，该预测模型具有更高的预测精度，能够实现轧机调整参数高精度预测并用于指导生产。     

基于正交实验和数据驱动的喷丸表面完整性参数预测

目的 探究喷丸工艺参数对18CrNiMo7-6滚子表面完整性的影响规律,得到喷丸工艺参数与表面完整性的映射关系,提高喷丸工艺的质量与效率.方法 运用Python语言对Abaqus进行二次开发,建立喷丸仿真的随机多弹丸模型并进行了试验验证.设计正交实验研究喷射角度、喷射速度、弹丸直径、覆盖率及弹丸类型对残余应力与表面粗糙度的影响规律,并用随机森林算法得到各个工艺参数对喷丸综合效果的重要度值.以喷射角度、喷射速度、弹丸直径、覆盖率、弹丸类型、距表面深度为输入,残余应力和表面粗糙度为输出,建立基于神经网络的喷丸表面完整性参数预测模型.结果 通过正交实验分析得到弹丸直径和喷射速度对表面粗糙度有显著影响.各个喷丸工艺参数对18CrNiMo7-6滚子的喷丸综合效果的重要度依次为:喷射角度0.249,喷射速度0.224,弹丸类型0.193,覆盖率0.173,弹丸直径0.161.在各个工艺参数范围内,较优的工艺参数组合为:喷射角度90°,喷射速度80 m/s,弹丸直径0.7 mm,覆盖率300％,弹丸材料为铸钢丸.基于神经网络的喷丸表面完整性参数预测模型的平均相对误差低于7％.结论 基于神经网络的喷丸表面完整性参数预测模型可以较准确地表示喷丸工艺参数与表面完整性参数之间的映射关系,能够为喷丸工艺提供相关参考.     

基于GRA的PSO-BP神经网络斜轧穿孔管形预测北大核心CSCD

针对斜轧穿孔中无缝钢管管形计算复杂且精度不高的缺陷,提出了基于灰色关联度分析(GRA)的PSO-BP神经网络管形预测模型。由于轧制过程中影响管形的因素较多,通过灰色关联度分析对工艺参数进行了相关性分析,选择相关度较高的影响因素作为输入;并使用粒子群优化算法对BP神经网络进行优化,确定了最佳的神经网络结构,构建了无缝钢管的斜轧穿孔管形预测模型。最后,应用现场数据对该模型进行了训练和测试,并将其与BP神经网络和传统数学模型进行了对比分析。研究结果表明:该预测模型的精度较高、可靠性较好,为提高无缝钢管的生产质量奠定了基础。     

基于BP神经网络的表面偏斜度和峰度预测建模

目的当前实际生产中对表面形貌的表征主要利用表面算术平均偏差Sa,而通过不同加工方式获得的表面有时尽管具有相同的Sa值,而其表面纹理结构、表面轮廓幅度值的对称程度及凸峰尖锐程度往往存在较大的差异,所以此时引入表面偏斜度Ssk和表面峰度Sku来共同表征表面形貌更为精确可信。方法利用正交试验和极差分析的方法研究各磨削参数如何影响表面偏斜度和表面峰度的变化。将BP神经网络引入到对表面偏斜度和表面峰度的预测建模中,利用其自学习的特性,有效克服了表面粗糙度建模的多输入、非线性复杂问题。结果获得了磨削参数对表面偏斜度和表面峰度的影响规律,当v_s=20 m/s,v_f=27 m/min,f=5mm/min,ap=0.005 mm时Ssk最小,当v_s=29 m/s,v_f=23 m/min,f=25 mm/min,ap=0.002 mm时S_(ku)最小;分别建立了磨削参数对S_(sk)和S_(ku)的精确神经网络预测模型。结论 v_f和f对S_(sk)影响较大,而f和vs对Sku的影响最大。为获得凹谷较多、尖锐凸峰较少的表面,必须选择合适的磨削工艺参数。建立的预测模型可以对磨削工艺优化起到有效的指导作用。     

Si3N4陶瓷轴承套圈端面磨削实验及表面质量分析

目的 确定加工氮化硅陶瓷轴承套圈端面的最优磨削加工参数,并构建表面粗糙度的预测模型.方法 首先,使用双端面磨床对氮化硅陶瓷轴承套圈进行多组单因素实验,实验设置的2个变量分别为砂轮转速和砂轮进给速度,并对两变量分别设置4个加工参数水平,以分析砂轮进给速度和砂轮转速对加工后表面质量的影响;再利用MATLAB中的工具箱,构建表面粗糙度预测模型.结果 通过实验得到最优的加工参数(砂轮转速为1400 r/min,砂轮进给速度为200μm/min),最优的表面粗糙度达到0.0827μm,符合工程中对高精度全陶瓷轴承端面的质量要求.建立了预测模型,并对该预测模型进行了优化,优化后的预测模型较实际测量的表面粗糙度Ra绝对值最小的相对误差为–0.56％,预测值与实际测量的表面粗糙度值的最大误差为0.0113μm.结论 表面粗糙度与砂轮转速和砂轮进给速度呈负相关,从实验结果与预测模型中可以看出,随着砂轮转速和砂轮进给速度的提高,表面粗糙度呈下降趋势.磨削氮化硅陶瓷轴承套圈的端面时,适当提高砂轮转速和砂轮进给速度有助于降低表面粗糙度,提高表面质量.     

帽型件弯曲智能化控制过程的影响因素分析

在板材弯曲成形智能化控制系统中,准确确定实时识别和预测模型的输入、输出参数,是弯曲智能化控制成功与否以及回弹控制精度高低的关键。文章采用LS-DYNA软件,对影响帽型件弯曲智能化回弹控制过程的因素进行了数值分析,并对模拟结果进行了实验验证,得出了影响回弹规律的主要因素,为帽型件弯曲智能化控制神经网络参数识别,及预测模型输入、输出参数的选择提供依据。     

宽板V型自由弯曲智能化控制过程的影响因素分析

在板材成形智能化控制过程中，参数的实时识别及预测是两个最关键的部分。神经网络识别及预测模型输入输出参数的选择，对智能化控制的成功与否以及控制精度高低起着至关重要的作用。本文利用ANSYS软件，通过对宽板V型自由弯曲及卸载过程的有限元数值模拟，研究了影响成形及卸载过程的因素，为宽板V型自由弯曲智能化控制神经网络参数识别及预测模型输入、输出参数的选择提供了依据。     

新型的治疗阿尔茨海默氏症药物(1-二甲基磷酰基-2,2,2-三氯)-乙基-1-醇烟酸醋对体外神经细胞的作用

目的: 观察本实验室合成的一种治疗阿尔茨海默氏症(AD)的药物(1-二甲基磷酰基-2, 2, 2 -三氯)-乙基^-1-醇烟酸醋(NMF),对体外培养的皮层神经细胞活性的影响以及对海人藻酸(KA)所致的神经损伤的保护作用。方法: 采用体外培养皮层神经元的方法,解剖分离 15 d胚胎小鼠皮层神经细胞, 接种于 96孔板,48 h 后加药并培养 72 h,以 MIT 法 观察 NMF 对小鼠皮层神经细胞活性的影响;同时将接种于 24 孔板的细胞预先给予 NMF,d 3 时加或不加KA处理后,以台盼蓝染色鉴别并计数死、活细胞,可得出细胞的存活率。结果: NMF 明显促进胎鼠皮层神经元活性,其中 NMF1、0. 1、10nmol·L^-1促进神经元活性增殖率分别高达 34.7%、37.4%、36. 7%, NMF 明显促进正常胎鼠皮层神经元存活卒,与对照组比较,10nmol·L^-1 NMF 对皮层神经元的存活率分别提高 39.3%、73.5%。 NMF能显著 对抗 KA 所致的神经元损伤,与 KA 损伤组相比, NMF0.1、10、10nmol·L^-1对损伤皮层神经元的保护率分别为 77.30%、80.10%、84.15%。结论: NMF 明 显促进胎鼠皮层神经元的洁性、提高正常皮层神经元,的存活卒,并能有效地保护KA所致的神经元损伤,提示 NMF 是一种很有潜力的治疗 AD 的药物。     

Three-Dimensional Growth of Coherent Ferrite in Austenite: A Molecular Dynamics Study

Coherent second phase often exhibits anisotropic morphology with specifi c orientations with respect to both the second and the matrix phases. As a key feature of microstructure, the morphology of the coherent particles is essential for understanding the second-phase strengthening eff ect in various industrial alloys. This letter reports anisotropic growth of coherent ferrite from austenite matrix in pure iron based on molecular dynamics simulation. We found that the ferrite grain tends to grow into an elongated plate-like shape, independent of its initial confi guration. The fi nal shape of the ferrite is closely related to the misfi t between the two phases, with the longest direction and the broad facet of the plate being, respectively, consistent with the best matching direction and the best matching plane calculated via the Burgers vector content(BVC) method. The strain energy calculation in the framework of Eshelby's inclusion theory verifi es that the simulated orientation of the coherent ferrite is energetically favorable. It is anticipated that the BVC method will be applicable in analysis of anisotropic growth and morphology of coherent second phase in other phase transformation systems.     

Effect of Short-Time Aging on the Pitting Corrosion Behavior of a Novel Lean Duplex Stainless Steel 2002

The effect of short-time aging in the temperature range between 400 and 1000 °C on the pitting corrosion behavior and mechanical property of a novel lean duplex stainless steel(LDSS) 2002 was investigated through the potentiostatic critical pitting temperature(CPT) tests and the Charpy impact tests. Both the pitting corrosion resistance and the toughness of aged specimens degraded due to the precipitation of detrimental secondary phases and the most significant reduction of CPT and impact energy emerged at 650 °C concurrently. The CPT of LDSS 2002 specimen aged at 650 °C decreased by 28 °C, and the impact energy dropped from 69 to 29 J/cm~2 compared with the solution-annealed sample. Transmission electron microscopy characterization showed that the main precipitates in LDSS 2002 were Cr_2N and M_(23)C_6 along the ferrite–austenite grain boundaries.     

INTRODUCTION TO PATENTS

The invention provides a method of making a mold which can reduce SOx generation rate while preventing decrease in hardening rate in the case of using sulfuric acid for a hardener composition. The method has a mixture step in which fire-resistant particles, a hardener composition and a binder composition are mixed to obtain a composition for a mold. The hardener composition contains sulfuric acid. In the mixture step, sodium carbonate is added. A molar ratio of the sulfuric acid to the sodium carbonate is 0.5 or more and 4.0 or less.     

China Foundry Week 2014

China Foundry Week, hosted by the Foundry Institution of Chinese Mechanical Engineering Society （FICMES） each year, is a large academic event in China. It is one of the ten high-impact activities sponsored by the Chinese Mechanical Engineering Society.     

17th Conference of Hydrodynamic and Electromechanical Control Engineering Call for papers

正1.Contents In order to promote the academic exchanges and technical communication of the research in the field of fluid power transmission and control,fluid control engineering specialized committee of the Chinese Society of Theoretical and Applied Mechanics will hold the 17th Conference of Hydrodynamic and Electromechanical Control Engineering on July 27-29,2014 in Tibet,Lhasa city.     

Information for Contributors

正The Transactions of Nonferrous Metals Society of China,founded in 1991 and sponsored by The Nonferrous Metals Society of China,is published monthly now and mainly contains reports of original research which reflect the new progresses in the field of nonferrous metals science and technology,including mineral processing,extraction metallurgy,metallic materials and heat treatments,metal working,physical metallurgy,powder metallurgy,with the emphasis     

Preface

<正>We are pleased to present this Special Issue of Transactions of Nonferrous Metals Society of China containing selected papers from the First Asian Conference on Aluminum Alloys(ACAA-2013),held in Beijing,China,13–17 October 2013.This conference has been initiated,with approval of     

Information for Contributors

The Transactions of Nonferrous Metals Society of China, founded in 1991 and sponsored by The Nonferrous Metals Society of China, is published monthly now and mainly contains reports of original research which reflect the new progresses in the field of nonferrous metals science and technology, including mineral processing, extraction metallurgy, metallic materials and heat treatments, metal working, physical metallurgy, powder metallurgy, with the emphasis on fundamental science. It is the unique preeminent publication in English for scientists, engineers, under/post-graduates on the field of nonferrous metals industry. This journal is covered by many famous abstract/index systems and databases such as SCI Expanded, Ei Compendex Plus, 1NSPEC, CA, METADEX, AJ and JICST.     

Formulas of Tension of Continuous Rolling Process

The development of computer controlled continuous rolling process calls for a mathematical expression that can express the inequality condition of "constant flow". Tension is the link of the continuous rolling process. From the condition of dynamic equilibrium, a differential equation of tension is given out. On the basis of the physical rules established from the industrial practice and experimental studies, the law of volume constancy, the linear relation of forward slip and tension, the state equation of continuous rolling, the formula of dynamic tension, and the formula of static tension have been obtained. These formulae reflect the functional relations between tensions, thickness, roll velocity, and time in the continuous rolling process. It is implied that the continuous rolling process is a gradually steady, controllable, and measurable dynamic system. An assumption of predicting the thickness of a steel plate using these tension formulae is also put forward.