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| 1 | 基于模块化功能分解的大型复杂构造产品造型设计方法显示文摘目的提高大型复杂构造产品在概念设计的可控性与创意效率,探索从功能分析到创意的迭代过程。方法依据产品功能布局与各个部件的相互作用关系,分析进行功能模块化定义的条件与原理,从不同功能层进行功能分解,通过图形化的方式展开功能示意,梳理模块化概念设计的基本过程;以一款平地机产品为例,对其驾驶舱、动力舱、车身、作业模块等功能区分及布列进行规划分析,形成不同的划分组合,提供不同的造型选择,利用工业设计的创意方法,在此基础上展开外观造型创意,利用计算机辅助设计软件进行创意方案的设计表达,最后基于方案的效果进行概念化设计评价。结果完成该产品的概念设计,验证模块化功能分解的效果。结论在概念设计阶段,模块化的功能分解方法有效引导了设计团队的创意方向,为大型复杂产品提供了创意设计参考。 | 李伟湛 杨先英 | 2019 | 包装工程2019，40，16： | 14 |
| 2 | Multidisciplinary Design Optimization of Vehicle Instrument Panel Based on Multi-objective Genetic Algorithm显示文摘Typical multidisciplinary design optimization(MDO) has gradually been proposed to balance performances of lightweight, noise, vibration and harshness(NVH) and safety for instrument panel(IP) structure in the automotive development. Nevertheless, plastic constitutive relation of Polypropylene(PP) under different strain rates, has not been taken into consideration in current reliability-based and collaborative IP MDO design. In this paper, based on tensile test under different strain rates, the constitutive relation of Polypropylene material is studied. Impact simulation tests for head and knee bolster are carried out to meet the regulation of FMVSS 201 and FMVSS 208, respectively. NVH analysis is performed to obtain mainly the natural frequencies and corresponding mode shapes, while the crashworthiness analysis is employed to examine the crash behavior of IP structure. With the consideration of lightweight, NVH, head and knee bolster impact performance, design of experiment(DOE), response surface model(RSM), and collaborative optimization(CO) are applied to realize the determined and reliability-based optimizations, respectively. Furthermore, based on multi-objective genetic algorithm(MOGA), the optimal Pareto sets are completed to solve the multi-objective optimization(MOO) problem. The proposed research ensures the smoothness of Pareto set, enhances the ability of engineers to make a comprehensive decision about multi-objectives and choose the optimal design, and improves the quality and efficiency of MDO. | WANG Ping WU Guangqiang | 2013 | Chinese Journal of Mechanical Engineering2013，26，2： | 12 |
| 3 | New Knowledge-based Genetic Algorithm for Excavator Boom Structural Optimization显示文摘Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization efficiency and quality, a new knowledge-based real-coded genetic algorithm is proposed. A dual evolution mechanism combining knowledge evolution with genetic algorithm is established to extract, handle and utilize the shallow and deep implicit constraint knowledge to guide the optimal searching of genetic algorithm circularly. Based on this dual evolution mechanism, knowledge evolution and population evolution can be connected by knowledge influence operators to improve the configurability of knowledge and genetic operators. Then, the new knowledge-based selection operator, crossover operator and mutation operator are proposed to integrate the optimal process knowledge and domain culture to guide the excavator boom structural optimization. Eight kinds of testing algorithms, which include different genetic operators, are taken as examples to solve the structural optimization of a medium-sized excavator boom. By comparing the results of optimization, it is shown that the algorithm including all the new knowledge-based genetic operators can more remarkably improve the evolutionary rate and searching ability than other testing algorithms, which demonstrates the effectiveness of knowledge for guiding optimal searching. The proposed knowledge-based genetic algorithm by combining multi-level knowledge evolution with numerical optimization provides a new effective method for solving the complex engineering optimization problem. | HUA Haiyan LIN Shuwen | 2014 | Chinese Journal of Mechanical Engineering2014，27，2： | 5 |
| 4 | 基于NSGA-Ⅱ算法的多目标优化决策系统显示文摘设计一款多目标优化的决策系统,研究集中于调整PID控制器中的KP、KI控制器的增益,使得反馈控制系统满足设计的性能需求。在设计变量参数与给定系统的性能指标之间,设计一种可自动优化增益的参数的算法以满足性能标准的目标。项目设计了PID控制器的增益可以通过NSGA-Ⅱ算法进行调整,从而使得反馈系统的性能指标达到满意的标准。 | 王左恒 | 2022 | 软件2022，43，11： | 0 |
| 5 | 采用改进的遗传算法绘制分层次拼贴图形显示文摘为寻找计算机自动绘制原始图形的方法,提出了通过遗传算法进行图形自动拼贴、分层次组合绘制的方法.首先对已有的图形进行层次划分、功能分解,分解成具有最小层次和最小单元的细胞图形;根据顾客需求以及输入的需求参数,建立多目标优化数学模型;然后采用改进的遗传算法,进行分层次搜索,搜索出若干个满足需求的细胞图形,最后进行图形拼贴,形成完整的计算机自动绘制图形.研究结果表明:采用这种方法能够由计算机自动选择出满足顾客需求的优化图形,并且能够由计算机自动拼贴出令人满意的完整图形. | 霍龙 夏之秋 胡一博 邱小璐 赵翀 | 2016 | 辽宁工程技术大学学报(自然科学版)2016，35，10： | 0 |
| 6 | Graphics Innovation Design Based on Cell Intuition Simulation Method显示文摘This paper proposes a new cell intuition simulation method which is a combination of intuitive simulation calculation method and the operation of binary image,and applied it in the innovation of the graphic design process.First of all,we study how to express a variety of graphics,and establish the definition of cell intuitive model,work out the cell intuitive operation process and many new cellular operators such as a variety of matrix blocks crossover operator,a variety of matrix blocks mutation operator,matrix blocks replace operator,matrix blocks compression operator,matrix blocks extension operator.By choosing two or more cells and selecting the artificial selection or fitness selection,we can set up and visualize the design and pick the best design results.Finally,validation is made on this algorithm by an example,and a innovation graphic is also represented. | XIA Zhi-qiu REN Na ZHAO Ting-ting CUI Lunfeng | 2014 | Computer Aided Drafting,Design and Manufacturing2014，24，1： | 0 |
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