瓦楞纸箱结构设计CAD开发研究

瓦楞纸箱是最重要的运输包装之一.本文主要研究利用Visual Lisp语言完成对瓦楞纸箱自动设计系统的开发过程,讨论了尺寸计算、强度计算和校核以及平面图、立体图和DCL对话框具体开发.通过这套瓦楞纸箱结构设计系统可以自动进行尺寸计算、强度计算与校核并完成平面图和立体效果图绘制.应用于生产实际可极大提高设计效率和准确性.     

在AutoCAD中用程序计算任意不共线三点的圆心坐标

介绍了基于AutoCAD绘图平台用Visual LISP语言编程计算任意不共线三点的圆心坐标;并介绍同时绘制图形以及生成部分加工程序的方法。     

基于Visual Lisp语言参数化绘图的实现

介绍VisualLisp的特点,并通过一个典型实例,阐述基于VisualLisp语言参数化绘图的实现方法。     

分布式无线ATM LAN方案研究

为了使无线个人通信具有较大的系统容量并能灵活处理多种宽带业务,在未来的个人通信中采用ATM传输与交换是一种必然趋势。本文针对无线ATM在小型局域网中的应用,提出了一种分布式ATM交换网络结构。在每个无线接入点或固定接入点嵌入一种灵巧的ATM交换单元,简化了分布式端对端系统中固定网络部分的结构,同时又保持了标准的用户网络接口和专用网络结点接口。     

注射胶塞模具CAD

以AutoCAD2000为功能平台,用VisualLISP进行二次开发,编制了注射胶塞的注射模具设计系统。该系统能够根据用户提供的产品尺寸,自动绘制制品的产品图和模具图。编制过程中运用大量对话框,利用其友好图形界面辅助数据输入和图形绘制,实现非规则断面的模具计算机自动设计。     

多种对话框的设计及应用

结合ＡＵＴＯＣＡＤ的应用,介绍了多种对话框的结构特点,动作构件的有机组合及实用性能。     

换热器管板的参数化设计

应用对话框技术进行了参数输入的程序设计 ,并用 Autolisp语言实现了各类换热器管板的参数化设计。程序的使用有效地提高了管板的设计效率和设计质量     

DCL对话框设计与应用的研究

在机械设计领域,大部分的人机交互是通过对话框实现的;在CAD的实践中也碰到了大量对话框的使用,现就DCL对话框的设计方法、调用顺序、控件处理等进行了探讨性研究,以便能在设计领域中更好地使用它。     

基于改进DCL算法的模糊控制规则提取

文章以机器人的模糊控制为背景,基于Kohonen自组织竞争网络和改进的DCL算法,从输入输出数据中提取模糊控制规则,所得结果明显优于Kong和Kosko[1]的结果。     

Seasonality and physical drivers of deep chlorophyll layers in Lake Superior,with implications for a rapidly warming lake

A deep chlorophyll layer (DCL) is a common feature of many deep, oligotrophic lakes including Lake Superior. Mechanisms generating and maintaining DCLs are variable across lakes, and seasonal patterns and relationships of DCL structure to physical variables are not well described. Using vertical profile data for physical and biological variables from western and central Lake Superior, we described seasonal patterns in DCL structure and other physical and biological parameters and applied linear mixed-effects models to determine how different physical factors (surface temperature, thermocline depth, and 1% photosynthetically active radiation (PAR) depth) affect the depth, thickness, maximum concentration, and integrated chlorophyll of the DCL. We observed clear seasonal patterns in the development and degradation of the DCL that coincide with seasonal changes in light and temperature. Modeling analysis using linear mixed-effects models showed that the DCL thickness was best predicted by surface temperature (R² = 0.51) followed by thermocline depth (R² = 0.36), and the deep chlorophyll maximum (DCM) concentration was best predicted by surface temperature (R² = 0.26). The 1% PAR depth was not implicated as an important predictor, but observations from seasonal data suggest that it plays a role in the depth of the DCM. While no relationship was found between surface temperature and DCL-integrated chlorophyll, DCL thickness decreased and DCM concentration increased with increasing surface temperature, which could have implications for productivity in the DCL as the lake continues to warm.