A novel iso-scallop tool-path generation for efficient five-axis machining of free-form surfaces

Weld cladding is a process of depositing a thick layer of a corrosion resistance material over carbon steel plate to improve the corrosion resistance properties. The main problem faced in stainless steel cladding is the selection of process parameters for achieving the required clad bead geometry and its shape relationships. This paper highlights an experimental study carried out to develop mathematical models to predict clad bead geometry and its shape relationships of austenitic stainless steel claddings deposited by gas metal arc welding process. The experiments were conducted based on four-factor, five-level central composite rotatable design with full replication technique. The mathematical models were developed using multiple regression method. The developed models have been checked for their adequacy and significance. The direct and interaction effects of process parameters on clad bead geometry and its shape relationships are presented in graphical form.     

Design and fabrication of a six-dimensional wrist force/torque sensor based on E-type membranes compared to cross beams

This paper presents a novel device for measuring components of forces and moments along and about three orthogonal axes based on E-type membranes compared to conventional sensor based on cross beams. After design and analysis of both types of sensors, we chose to fabricate a six-dimensional wrist force/torque sensor based on E-type membranes. Furthermore, the calibration and decoupling based on Neural Network method were performed, and the sensor possesses excellent characteristics such as high measurement sensitivity, overload protection, good linearity, and weak couplings between components. Finally, its maximum interference error and nonlinearity error are 1.6% F.S. and 0.17% F.S., respectively.     

Multifunctional materials: engineering applications and processing challenges

Multifunctional materials are designed so as to meet specific requirements through tailored properties. Smart materials can be considered as multifunctional ones that have the ability to react upon an external stimulus, simulating, in this way, the behavior of nature’s materials. Furthermore, the introduction of biomemetics in the material science, allows the designing of materials with similar processes as nature does: building from molecules to complete structures. This paper focuses on the presentation of the various multifunctional materials reported in the literature and the processing means developed.     

An Investigation on Reasons Causing Inferiority in Unlubricated Sliding Wear Performance of 60NiTi as Compared to 440C Steel

60NiTi is gaining recognition as an alternative to 440C steel in ball bearing components due to its intrinsic corrosion resistance and unusually high static load capacity. 440C steel and 60NiTi exhibit comparable Rockwell hardness and would be expected to exhibit similar sliding wear behavior using hardness based models. However, results show that under unlubricated sliding conditions, 60NiTi shows inferior wear properties than 440C steel. In this study, a series of indentation and single pass scratching experiments are conducted to elucidate the reasons behind this unexpected observation. Moreover, sliding wear tests carried out under moderate and extreme tensile stress conditions were used to identify sliding conditions under which these materials exhibit similar and dissimilar behavior. The results show that 440C steel exhibits more microscopic plasticity than 60NiTi, halting the propagation of generated tensile microcracks. In contrast, the intrinsic brittleness of 60NiTi leads to the formation and growth of microcracks between the shear bands causing subsequent wear particle generation. These lead to the occurrence of wear through more aggressive abrasion processes in 60NiTi than 440C steel. These findings help explain why 60NiTi performs well when lubricated. 60NiTi is expected to tolerate ～912?MPa tensile stress before yielding. Under good lubricated conditions where a perfect lubricating film is formed, friction induced tensile stresses fall below the tensile strength of 60NiTi and wear is prevented. However, inadequate lubrication combined with high contact stress leads to damage and wear.     

基于改进平方检测和新型K-N互卷积窗的闪变参数检测

传统的数字式闪变仪研制主要根据IEC闪变测量原理将各环节的模拟滤波器转换为数字滤波器来实现,但数字滤波器的效果受限于采样频率和变换方法的选取。提出利用解析模式分解改进传统平方检测法的滤波环节,准确提取电压闪变包络信号,构建新型K-N互卷积窗函数,推导基于新型K-N互卷积窗三谱线插值修正算法,据此提出基于改进平方检测法和新型KN互卷积窗的闪变参数检测方法,开发基于虚拟仪器的闪变参数检测平台。仿真实验结果表明,所提算法在单一频率调制、多频率调制、电网频率波动、含有叠加谐波及噪声干扰的情况下,均能有效实现闪变参数的准确检测,相较于传统检测方法,实现简单且具有更高的准确度。     

钢管连轧机辊缝液压AGC控制系统的建模与仿真

根据钢管连轧机辊缝液压AGC系统的构成,建立了基于SIMULINK的钢管连轧机液压AGC系统的动态模型.仿真分析结果表明,所建立的动态模型利于分析轧制咬入过程对轧制精度的影响,为系统的开发和优化设计提供了基础。     

高速切削刀具磨损的有限元分析

采用DEFORM-3D软件,通过在不同速度下切削45钢的有限元模拟,得到了切削速度对刀具磨损的影响规律以及与切削温度之间的关系,为研究刀具磨损机理、合理选用切削加工速度提供了参考依据。     

注塑工艺参数快速确定方法研究

工程上采用不断试验来调整并确定注塑工艺参数的方法不仅费时费料,效率低下,而且由于参数间的相互影响,难以得到最合适的参数值。对人工神经网络技术在注塑工艺参数快速确定方面的应用进行了研究。在CAE模拟的基础上,利用Matlab下的神经网络工具箱建立了BP网络模型,编制了应用程序,对参数非线性映射过程进行求解。结果表明人工神经网络技术应用于注塑参数的快速确定方面是可行的。     

齿轮传动噪声的研究与控制

针对机械噪声的危害问题,分析了形成齿轮传动噪声的各种原因和机理,提出了齿轮传动噪声的预防及对策,以达到降低齿轮传动噪声目的。     

行星椭圆齿轮-连杆组合机构运动特性分析

提出了一种行星椭圆齿轮-连杆组合机构,建立了该机构的运动学模型,用VB编写了辅助分析程序,分析了椭圆齿轮偏心率(短长轴比率)和主动椭圆齿轮长轴初始偏角等重要参数对该机构运动特性的影响。通过实例计算,发现该机构具有较好的急回特性,并在工作段速度接近匀速,同时容易实现行程的缩放。