“有情输入法”之信息交互原型设计与评价研究

目的从移动互联网背景下的用户社交场景出发,将人机交互技术的发展与用户的情感化需求联系起来,探索一种新型的信息输入与输出的交互原型方案。方法首先通过用户访谈、问卷调查对用户在使用现有的聊天工具时所遇到的问题进行了定性分析与定量验证;其次基于ViP产品设计法则进行了界面设计和交互设计;最后采用访谈、问卷、眼动测试3种方式进行测试,进一步完善了设计方案,并利用信息交互设计的四维评价体系对设计方案进行了设计评价。结论随着科技的进一步发展和完善,更加多元、高效、有趣的信息交互方式将成为可能。     

水电站主坝工作桥拆除爆破技术及安全分析

水丰水电站位于中朝界河鸭绿江上,其主坝工作桥拆除工程量大、实施难度高。通过周密的控制爆破方案设计和计算分析,将其成功拆除;且爆破振动速度、动水压力和涌浪等监测指标以及大坝裂缝、渗漏量等宏观现象调查均处于安全范围以内。     

Development of a new model for representing elastoplastic deformation and fracture behaviors of solid fats

A new simulation model, namely, ADEM Ductile Fracture model (ADF model) is developed to represent elastoplastic deformation and fracture behaviors of solid fats. Experimental measurement of the coefficient of plastic starting distance and the yield point affecting the deformation behavior has been obtained by compression test. The fracture distance affecting the fracture behavior has been measured by cutting test. The ADF model shows a good match with the experimentally determined compression and cutting behaviors of the solid fats, and load–strain curves as a function of plate thickness. This confirms that the ADF model could represent the elastoplastic deformation and fracture behaviors of the solid fats.     

基于大数据图像处理的产品造型智能设计探索

目的 针对当前设计师囿于已有经验和当前的产品创新设计方法,导致设计师不能完全把握产品设计的流行趋势,易出现设计雷同和侵权等问题,提出了一种利用基于深度学习的图像处理等技术,研究基于产品图像数据库的智能造型设计方法,为设计师开发新产品提供灵感,优化产品设计流程.方法 首先利用爬虫技术从购物网站上抓取产品图像,利用图像处理算法去除重复、背景杂乱的图像.然后分析图像包含的客观特征,利用多标签学习技术对图像进行分类标注,形成一个可以实时更新、带有标签的多层次灵活分类的产品图像数据库,该数据库可以方便设计师利用标签检索.利用生成对抗网络技术进行风格迁移学习,生成与原图像类似但是有不同的新图像.最后经过有经验的设计师参与设计,得到新的方案草图.结论 基于数据驱动的造型智能设计方法,可以在一定程度上提高设计效率,缩短设计周期,为造型设计提供一种新的思维方式.     

Comprehensive numerical modelling of the hot isostatic pressing of Ti-6Al-4V powder: From filling to consolidation

Hot Isostatic Pressing (HIP) is a manufacturing process for production of near-net-shape components, where models based on Finite Element Method (FEM) are generally used for reducing the expensive experimental trials for canister design. Researches up to date implement in the simulation a uniform powder relative density distribution prior HIPping. However, it has been experimentally observed that the powder distribution is inhomogeneous after filling, leading to a non-uniform tool shrinkage. In this study a comprehensive numerical model for HIPping of Ti-6Al-4V powder is developed to improve model prediction by simulating powder filling and pre-consolidation by means of a two-dimensional Discrete Element Method (DEM). Particles’ dimension has been scaled up in order to reduce the computational cost of the analysis. An analytical model has been developed to calculate the relative density distribution from powder particle distribution provided by DEM, which is then passed in information to a three-dimensional FEM implementing the Abouaf and co-workers model for simulating powder densification during HIPping. Results obtained implementing the initial relative density distribution calculated from DEM are compared with those obtained considering a uniform relative density distribution over the powder domain (classic approach) at the beginning of the analysis. Experimental work has been carried out for validating the DEM (filling) and FEM (HIP) model. Comparison between experimental and numerical results shows the ability of the DEM model to represent the powder flow during filling and pre-consolidation, providing also a reliable values of the relative density distribution. It also highlights that taking into account the non-uniform powder distribution inside the canister prior HIP is vital to improve numerical results and produce near-net-shape components.     

改进铁道10kV配电所自投装置的几种方法

结合铁道１０ｋＶ配电所运行的具体情况,分析了其存在的自投成功率不同的问题,并根据实践运行和检修经验总结了几种改进１０ｋＶ配电所自投装置,提高其投成功率的办法。     

“有限元法”及“结构矩阵分析”课程的改革

本文就“弹性力学及有限元法”及“结构矩阵分析与程序设计”两门课程的内容体系改革问题,提出了一些观点,介绍了教学实践中的体会。     

创建CBE模式 办出高工专教育特色

如何办出高等工程专科教育的特色是当前教育界普遍关心的问题。作者根据一切从实际出发的原则,选择机械加工工艺专业为教改试点专业。提出以下的基本思路:走高等职业教育的路子,创CBE(符合国情的能力本位教育)模式,集国内外先进有用的教育经验,达适合生产第一线技术工作要求的效果。在此基础上、作者探讨了教改的方法和步骤。     

基于深度学习的四旋翼无人机控制系统设计

针对传统四旋翼无人机控制系统受到外界干扰,无法及时躲避障碍物而导致控制精准度低的问题,提出了基于深度学习的四旋翼无人机控制系统设计。根据四旋翼无人机控制系统总体结构,加入超声波测距模块。依据系统硬件框图,采用TMS320F28335型号主控芯片,实现关键态势智能分析。以串级 PID 控制器的控制对象为无人机姿态角度,控制电机转速。根据DSP发出不同占空比的PWM信号,改变无人机飞行姿态,依据执行机构驱动原理,保证无人机飞行时的平衡状态。使用红外遥控系统,应用编/解码操控集成电路芯片,采用TS0P1738型号红外线接收器,适合于红外线遥控数据传输。构建深度学习目标控制模型,利用处突阵法与三角形相似原理,计算像素尺寸,获取障碍物距无人机当前位置距离,避免受到外界障碍物干扰。自适应扩展Kalman滤波器技术对无人机自动控制系统有效减小测量误差,准确地对机动目标进行追踪。由系统调试结果可知,该系统控制的俯仰角、航向角、横滚角与实际值一致,对处理突发性群体事件具有重要意义。     

Modelling the Soft Robot Kyma Based on Real-Time Finite Element Method

Modelling soft robots is a non-trivial task since their behaviours rely on their morphology, materials and surrounding elements. These robots are very useful to safely interact with their environment and because of their inherent flexibility and adaptability skills. However, they are usually very hard to model because of their intrinsic non-linearities. This fact presents a unique challenge in the computer graphics and simulation scopes. Current trends in these fields tend to narrow the gap between virtual and real environments. This work will explain a challenging modelling process for a cable-driven soft robot called Kyma. For this purpose, the real-time Finite Element Method (FEM) is applied using the Simulation Open Framework Architecture. And two methods are implemented and compared to optimize the model efficiency: a heuristic one and the Model Order Reduction. Both models are also validated with the real robot using a precise motion tracking system. Moreover, an analysis of robot–object interactions is proposed to test the compliance of the presented soft manipulator. As a result, the real-time FEM emerges as a good solution to accurately and efficiently model the presented robot while also allowing to study the interactions with its environment.