Interactive sculpting of product shape based on constraint manipulation in virtual environment

In product concept design, not only designers with professional CAD skills, but also final customers take part in the design and evaluation of product shape styling. Because customers usually lack surface modelling background and are not familiar with concrete operations of commercial CAD systems, it is difficult for them to express their change intentions of product shape through professional CAD tools if they are not satisfied with the current shape design. This paper puts forward a method for creating, dragging and manipulating constraint and load represented in form of icon entity in interactive sculpting of product shape in virtual environment. The method supports customers manipulation of sculpting constraints or loads on sculpting shapes in virtual reality interaction to control the deformation of product shape. Constraints management based on icon entity is similar to spline lofting operation that is familiar to engineers, so users do not need to know surface details or have any professional knowledge of surface modelling, by only using their physical and engineering experience, they can manipulate the sculpting of product shape intuitively.     

Quantitative information measurement and application for machine component classification codes

Information embodied in machine component classification codes has internal relation with the probability distribution of the code symbol. This paper presents a model considering codes as information source based on Shannon＇s information theory. Using information entropy, it preserves the mathematical form and quantitatively measures the information amount of a symbol and a bit in the machine component classification coding system. It also gets the maximum value of information amount and the corresponding coding scheme when the category of symbols is fixed. Samples are given to show how to evaluate the information amount of component codes and how to optimize a coding system.     

基于增强现实的工程图学装配引导沉浸式教学实验平台设计

传统的装配图拆画环节教学手段不够生动,学生学习起来比较困难.针对这一问题,该文将增强现实虚拟装配技术引入课堂,设计了一种沉浸式虚拟装配教学实验平台,采用了一种全新的基于虚拟几何特征的零件位姿检测技术,以实现精准装配.该实验平台可以使学生更加直观地理解装配概念、体验装拆装配体过程,使学生获得身临其境的装配感,同时可学习虚...     

不完备数据下考虑变量混合不确定性的可靠性度量方法（英文）

目的：可靠性优化需要精确度量含不确定性变量的系统可靠性。然而,工程实践中往往不能获取充足的样本数据计算可靠性指标,因此本文针对不完备数据下的系统可靠性度量开展研究。创新点：1.提出了随机变量、稀疏变量以及区间变量混合不确定性下的可靠性度量方法;2.本方法可以推广到p-box和证据理论变量等不确定性变量。方法：1.建立不完备数据下的失效概率函数;2.基于中间辅助变量实现失效概率的一致性计算;3.针对数据不完备前提下失效概率自身也是不确定性变量的问题,对失效概率指标进行敏感度分析;4.将提出的失效概率计算方法推广到p-box变量、多模态分布变量以及证据理论变量;5.采用经典函数案例验证方法的有效性,并将方法应用于锻压机的可靠性分析。结论：1.不完备数据下的系统可靠性存在较大的不确定性;2.通过中间辅助变量可以精确分析混合不确定性下系统的失效概率,确定失效概率的随机分布特性;3.提出的方法可以用较少的计算时间获得准确的可靠性结果;4.本文方法可以扩展到更多不确定性类型的可靠性分析,辅助混合不确定性优化设计。