Evaluating the conceptual design schemes of complex products based on FAHP using fuzzy number

In the conceptual design stage of complex products, CBR（Case-Based Reasoning） tool is useful to offer a feasible set of schemes. Then the most adaptive scheme can be generated through a procedure of comparison and evaluation. The procedure is essentially a multiple criteria decision-making problem. The traditional multiple criteria programming is not flexible enough in executing the system evaluation algorithm due to both the limited experimental data and the lack of human experiences. To make the CBR tool to be more efficient, a new method for the best choice among the feasible schemes based on the Fuzzy AHP using Fuzzy numbers （FFAHP） is proposed. Since the final results become a problem of ranking the mean of fuzzy numbers by the optimism of decision-maker using the FFAHP, its execution is much more intuitive and effective than with the traditional method.

Object registration using an RGB-D camera for complex product augmented assembly guidance

Background Augmented assembly guidance aims to help users complete assembly operations more efficiently and quickly through augmented reality technology,breaking the limitations of traditional assembly guidance technology which is single in content and boring in way.Object registration is one of the key technologies in augmented assembly guidance process,which can affect the location and direction of virtual assembly guidance information in real assembly environment.Methods This paper presents an object registration method based on RGB-D camera,which combines Lucas-Kanade(LK)optical flow algorithm and Iterative Closet Point(ICP)algorithm.An augmented assembly guidance system for complex products through this method is built.Meanwhile,in order to compare the effectiveness of the proposed method,we also implemented object registration based on an open source augmented reality SDK Vuforia.Results An engine model and a complex weapon cabin equipment are taken as an case to verify this work.The result shows that the registration method proposed in this paper is more accurate and stable compared with that based on Vuforia and the augmented assembly guidance system through this method greatly improves the user's time compared with the traditional assembly.Conclusions Therefore,we can conclude that the object registration method mentioned in this paper can be well applied in the augmented assembly guidance system,which can do enhance the efficiency of assembly considerably.

Special Issue on Innovative Design of Complex Products

With the development of science and technology as well as the diversification and individualization of market demand,modern products update more and more rapidly.e rapid development of new products to satisfy the increasingly improved and personalized customer demands greatly depends on the progress in the innovative design theory and performance optimization

Response surface methodology-based hybrid robust design optimization for complex product under mixed uncertainties

Minimizing the impact of the mixed uncertainties(i.e.,the aleatory uncertainty and the epistemic uncertainty) for a complex product of compliant mechanism(CPCM) quality improvement signifies a fascinating research topic to enhance the robustness.However, most of the existing works in the CPCM robust design optimization neglect the mixed uncertainties, which might result in an unstable design or even an infeasible design. To solve this issue, a response surface methodology-based hybrid robust design optimization(RSM-based HRDO) approach is proposed to improve the robustness of the quality characteristic for the CPCM via considering the mixed uncertainties in the robust design optimization. A bridge-type amplification mechanism is used to manifest the effectiveness of the proposed approach. The comparison results prove that the proposed approach can not only keep its superiority in the robustness, but also provide a robust scheme for optimizing the design parameters.

Predicting Model for Complex Production Process Based on Dynamic Neural Network

Based on the comparison of several methods of time series predicting, this paper points out that it is necessary to use dynamic neural network in modeling of complex production process. Because self feedback and mutual feedback are adopted among nodes at the same layer in Elman network, it has stronger ability of dynamic approximation, and can describe any non linear dynamic system. After the structure and mathematical description being given, dynamic back propagation (BP) algorithm of training weights of Elman neural network is deduced. At last, the network is used to predict ash content of black amber in jigging production process. The results show that this neural network is powerful in predicting and suitable for modeling, predicting, and controling of complex production process.

A Design Method with Knowledge Modeling for Complex Product Based on Ontology

Innovation design for complex products is a difficult issue in the military manufacturing industry. Ontology may provide a feasible way to rebuild the design process for complex products via sharing and reusing of design knowledge. In this paper, a design method used in the innovation design process of the complex products with knowledge modeling is proposed. Knowledge modeling is realized through ontology construction by combining the cycling evolutional theory of constructing ontology and OWL (Ontology Web Language)-based knowledge representation. As a case study, the satellite is selected as one of the complex products. The application domain of the satellite ontology is analyzed. According to the analysis result, the knowledge structure of satellite ontology is put forward based on OWL. The application of satellite product design shows that the method can effectively organize and reuse the knowledge resources in the innovation design of complex product and help companies to create more competitive products based on the existing knowledge and experience.

A method of manufacturing process modeling based on activity network for large-sized and complex products

Simulation technique is an efficient approach to realize the planning and scheduling of manufacturing process of products. An appropriate and efficient manufacturing process model is the basis and key of manufacturing process simulation. By analyzing the features of large-sized and complex products, a method of manufacturing process modeling based on activity network is presented and a mapping algorithm of translating BOM/BOP into the manufacturing process model is designed in detail.

A Collaborative Platform for Complex Product Development Based on Multi-Domain Unified Modeling and Simulation

In order to intensify market competition, manufacturing enterprises must improve their product innovation capability. It is difficult to integrate the system modeling, simulation and collaborative process management in complex product development. A collaborative platform for complex product development based on multi-domain unified modeling and simulation is proposed in this paper. The architecture of the platform is firstly stated. The idea and realization of three key technologies, i.e. multi-domain modeling and simulation for complex product, knowledge management for product design and simulation, multi-domain collaborative mechanism, are emphasized. Finally, an industry case is given. The demonstration of the system shows that integration architecture is the effective infrastructure for multi-domain collaborative product development.

Modeling Analysis of Complex Products Resource Integration Behavior Under Distributed Collaborative Technology Innovation Mode

According to new features of distributed technology innovation collaboration of complex products of China’s aviation,in the multi-agent collaborative R&D process,between main manufacturer and suppliers,this paper summarizes the organizational structure and characteristics of collaborative mode of distributed technology innovation of complex products,basing on the technological innovation and resource integration of complex products,and treating resource contribution rate as a key parameter. It establishes multi-agent resource integration collaborative symbiosis model under distributed collaborative technology innovation mode based on symbiosis theory. And finds that some factors such as the basic attributes of the enterprise,the mutual influence of resources among enterprises and the behavior decision of the main manufacturer have some effects on the resource integration using stability analysis and simulation analysis,which provides a theoretical basis for the main manufacturer to optimize the behavior of suppliers’ resource integration.

SOME RESULTS ON PRODUCT COMPLEX FINSLER MANIFOLDS

Let （M, F ） be the product complex Finsler manifold of two strongly pseudoconvex complex Finsler manifolds （M 1 , F 1 ） and （M 2 , F 2 ）. In this paper, we obtain the relationship between the Chern Finsler connection coefficients Γ i ; k associated to F and the Chern Finsler connection coefficients Γ a ; c , Γα ; γ associated to F 1 , F 2 , respectively. As applications we prove that, if both （M 1 , F 1 ） and （M 2 , F 2 ） are strongly Ka¨hler Finsler （complex Berwald, or locally complex Minkowski, respectively） manifolds, so does （M, F ）. Furthermore, we prove that the holomorphic curvature K F = 0 if and only if K F1 = 0 and K F2 = 0.

ON DOUBLY WARPED PRODUCT OF COMPLEX FINSLER MANIFOLDS

Let （M1, F1） and （M2, F2） be two strongly pseudoconvex complex Finsler man- ifolds. The doubly wraped product complex Finsler manifold （f2 M1 x h M2, F） of （M1, F1） and （M2, F2） is the product manifold M1 x M2 endowed with the warped product complex 2 2 Finsler metric F2 = f2F1 ＋ fl F2, where fl and f2 are positive smooth functions on M1 and M2, respectively. In this paper, the most often used complex Finsler connections, holomorphic curvature, Ricci scalar curvature, and real geodesics of the DWP-complex Finsler manifold are derived in terms of the corresponding objects of its components. Necessary and sufficient conditions for the DWP-complex Finsler manifold to be K/ihler Finsler （resp., weakly K/ihler Finsler, complex Berwald, weakly complex Berwald, complex Landsberg） manifold are ob- tained, respectively. It is proved that if （M1, F1） and （M2,F2） are projectively flat, then the DWP-complex Finsler manifold is projectively flat if and only if fl and f2 are positive constants.

COMPLEX INNER PRODUCT AVERAGING METHOD FOR CALCULATING NORMAL FORM OF ODE

This paper puts forward a complex inner product averaging method for calculating normal form of ODE. Compared with conventional averaging method, the theoretic analytical process has such simple forms as to realize computer program easily. Results can be applied in both autonomous and non-autonomous systems. At last, an example is resolved to verify the method.

基于网络演算的复杂产品系统供应商风险度量

复杂产品系统研制过程中供应商之间协同设计制造复杂性高,风险通过供应商间的协作关系相互作用和传导。面向复杂产品系统,构建供应商层次网络,考虑供应商风险累积与风险应对及时性的交互影响,通过引入通信领域网络演算理论,基于积压和时延性能指标刻画风险的特征,将不确定的供应商风险量化问题转化为最坏边界求值问题,实现风险的确界度量。以航空复杂产品系统为例对模型进行验证,可以辨识供应商在协同研制过程中面临的重要风险,为复杂产品系统供应商风险管理提供参考依据。

浅议土的复杂性

土的复杂性使人很难对其严密地定名与分类,几乎不可能精准地预测其行为。土的复杂性来源于其是天然的产物和碎散的颗粒集合体。土的天然属性使其具有三相组成,土中水成为土力学中理论上的难点,也常常是一切地质灾害与工程事故的根源。土力学教学中所谓的土是被简单化了的,与大自然中的原状土有着很大的差别。土的碎散性使其受力变形性状与物理性质相耦合,在受力变形的过程中其组成、状态、结构都处于不断地变化中,这就是其力学性质非常复杂的主要原因。通过DDA(Discontinuous deformation analysis)分析揭示了土颗粒运动与土的各种变形特性间的联系;土的湿化试验表明了塑性应变是度量土的应力-应变特性的主要因素。人类与土之间有着长期的密切的关系,土作为人类的载体、材料、工具与武器,是人类须臾不可离开的东西。在长期的生活与生产过程中,人们积累了关于土的丰富的经验,也吸取了很多教训。至今经验性的方法仍然是在岩土工程的综合判断与工程决策中的基本方法。

基于系统仿真的复杂产品创新绩效评价与优化研究

复杂产品的创新绩效评价与优化一直是企业产品设计、研发、制造、生产过程中面临的重要问题,本文从系统工程角度对复杂产品的创新绩效进行重新评价,并进一步进行优化,从根本上改善复杂产品的创新状况,提升复杂产品的创新效能。本文提出基于系统工具的复杂产品创新绩效仿真,主要包括复杂产品创新技术集成过程仿真、复杂产品创新绩效评价过程仿真和最终形成基于生产过程的复杂产品创新绩效系统仿真。系统仿真的目标是针对复杂产品生产流程的各阶段,利用系统仿真形成的创新方案进行复杂产品生产创新流程优化,从而提升复杂产品创新绩效。

基于光学定位的三维超声引导肌肉注射仪设计研究

目的解决光学定位技术在引入肌肉痉挛治疗的注射手术应用中,光学定位设备与现有医用超声仪器之间的不适配问题,旨在进一步提升理论定位精度稳定性,简化必需操作并降低实际应用难度。方法在现有超声仪及相关设备功能基础上,结合光学定位设备工作条件需求进行需求分析,重新构建产品元件功能流模型并映射为网络节点,并基于复杂网络节点重要度评价方法,确定目标产品设计重心点并分层设计,最后采用仿真验证测试设计合理性。结果实验结果符合预期假设,目标节点所对应功能元件与其它节点的相关性程度与目标元件所需兼容连接的复杂度呈正相关。基于实验得出能够适配光学定位仪与超声设备的设计方案,有效解决二维超声导航引导肌肉注射所面临的不直观、不可视等问题。结论基于复杂网络节点的重要度评价方法更适用于复杂功能产品的设计研究,评价结果重要度差异更为显著。

汉语二语学习者笔语多维动态发展研究

我们通过对两名不同母语背景汉语二语者进行一年的追踪,对其笔语动态发展的多维考察发现:(1)二语水平大致相同的不同个体,在相同时间段内笔语发展呈现出不同轨迹;CAF各维度之间的竞争和协同关系在不同个体的笔语发展过程中呈现差异,交互关系随时间发展而变化;(2)练习频次、话题熟悉度、学习者关注焦点是影响笔语各维度发展的主要因素;(3)多维多项的测量体系有助于揭示二语者语言系统动态发展的客观全貌。这些发现可为二语者笔语发展模型的构建和国际中文教学提供参考。

基于复杂网络的产品族造型意象耦合网络模型构建方法

目的拓展产品族多意象设计相关知识的获取途径,提升产品族造型创新设计的能效。方法基于产品族造型意象耦合特性,引入复杂网络中的多层网络概念,利用造型特征间的多意象表达关系,构建了产品族造型意象耦合网络模型。利用节点敏感性与中心性分析产品族造型意象耦合网络,识别各造型特征节点属性类型以作为模型析出知识。结合产品族设计的特点,总结归纳适用于产品族设计的各造型特征节点类型并制定其类型运用规则,以辅助设计师进行产品族造型创新设计。结果以马自达汽车前脸造型设计为例,构建了马自达汽车前脸造型意象耦合网络模型,析出了产品族相关设计知识并运用于汽车前脸设计。结论产品族造型意象耦合网络模型丰富了产品族多意象设计相关知识的获取途径,可用于辅助产品族设计,提升设计能效。

高端装备制造业贸易强度如何影响出口技术复杂度?——基于中国-东盟样本数据的分析

文章基于2010-2020年中国与东盟国家高端装备制造业贸易网络,运用高维固定效应模型考察高端装备制造行业贸易强度对出口技术复杂度的影响。研究结果显示:中国与东盟国家间的贸易强度对一国高端装备制造业出口技术复杂度的提升具有显著的正向影响,且贸易开放、技术创新是重要的作用机制。相较于轨道交通装备行业,贸易强度对航空装备、卫星及应用等其他领域的高端装备出口技术复杂度的提升效果更为显著。由此提出合理布局区域贸易网络、深化贸易开放和重视技术创新等对策建议,为推动我国高端装备制造业技术升级提供思路借鉴。