基于智能制造的声音建模交互设计

目的为智能制造领域的设计创新提供一种尝试性的研究角度与辅助设计方法。方法基于智能制造技术,本文以《记忆留声》为设计实践案例,运用随机抽样法和用户参与式设计研究方法,分析声音建模的交互设计方法与输出形式。结果借助3D打印技术与图形图像生成算法,将声音转化为一种三维实体化的实用环保艺术产品,并提出基于语音输入的多维交互体验模式。结论以智能制造技术为支撑的多维度交互体验设计,可以为用户的个性化需求提供切实可行的解决方案与多维度的交互体验。     

飞机地板特性与面向制造设计

飞机地板是飞机结构的重要组成部分,本文介绍了飞机地板设计要求,分析常用地板结构形式及存在的不足,提出面向制造的飞机地板设计思路和设计方法。     

面向制造的设计系统中的可制造性评价方法与应用

对面向制造的设计系统中的可制造评价进行了深入地探讨，     

为面向制造的设计提供工艺评价的方法

本文讨论了面向制造的设计中，如何进行设计工艺性分析和评价的问题，提出了一种提供制造工艺方面的支持对所设计零件的制造工艺特性进行评价的系统化方法，所提出的分析评价系统包括的主要分析评价部分有：毛坯制造方法选择和评价；结构形状工艺性分析；通过工艺过程设计分析和加工质量等。文中对其中的一些关键技术问题进行了探讨。     

人工智能在智能制造设计中的应用

随着科技的不断发展,人工智能技术逐渐渗透到各行各业,其中包括智能制造设计领域。介绍了人工智能和智能制造的基本概念,分析了人工智能在智能制造设计中的应用现状及优势,指出了人工智能在智能制造设计中面临的挑战和问题,提出了解决这些问题的策略和建议。研究发现,人工智能在智能制造设计中具有广泛的应用前景,但也需要解决相关技术和社会问题,这样才能推动智能制造的进一步发展,提高企业的生产效率和竞争力。     

智能交互时代设计赋能智能制造创新发展路径研究

目的 总结智能交互时代设计赋能智能制造创新发展的策略和路径。方法 基于智能交互时代背景,以创新设计思维为指导,从智能制造的发展现状、动态趋势以及与创新设计的关联性等方面对智能制造的创新设计发展策略及路径进行探讨。结果 在创新设计思维的指导下,总结智能制造的创新设计模型与发展策略,以及设计赋能智能制造创新发展的可行性路径。结论 以智能制造创新设计思维为指导,总结了创新设计流程、数字化转型、柔性设计制造、协同集成平台、创新服务系统以及设计教育新范式等六大设计赋能智能制造创新发展的可行性路径。     

面向空气动力学优化的电动汽车造型设计研究

从汽车造型设计的比例、容积、曲面、细节4个层级出发,逐层分析了未来具有优秀空气动力学性能的电动汽车在比例、容积、曲面、细节中应该具有的特点。提出了要设计未来具有优秀空气动力学性能的电动汽车应该打破过去的\"汽车式\"的比例容积安排,改变过去\"大功率高能耗\"的曲面语言,转而探索符合电动汽车设计理念的环保、高效、自然的曲面语言,并且在细节上辅以与电动汽车比例、容积和曲面统一的、合理体现电动汽车技术特点的细节。     

面向智能制造的数字仓储系统设计

目的 从设计的角度探究如何运用数字仓储系统满足智能制造发展需求的相关理论,以期为制造企业提供智能化生产服务.方法 运用文献研究和典型案例分析法,通过系统架构、管理模块、数据流等方面对数字仓储系统进行全面设计,揭示出数字化仓储技术与装备的功能特点,进而提出数字仓储系统实现路径.结果 数字仓储系统实现了对物料、成品从订单发出到在途、上架、入库、出库全流程的追踪监控,对仓储、物流资源进行了一体化管理,实现了智能制造信息深度自感知、智慧优化自决策、精准控制自执行.结论 在智能制造的大环境下,数字仓储系统能够满足制造企业大规模定制生产要求,具备高柔性的全流程数字化管理模式,助推智能制造进一步发展.     

面向成本的设计方法与技术研究

在分析产品成本相关领域研究的基础上,提出了面向成本的设计方法。根据面向成本的设计方法,在产品概念设计阶段,应用价值工程及ＤＦＡＭ的分析方法,实现产品结构优化。在产品详细设计阶段,通过建立包含制造加工,装配,检测等成本信息的产品模型,实现 技术经济性评价,根据评价结果,及时进行产品再设计,降低产品成本。     

面向感性消费的产品造型设计模型拓展的研究

主要论述感性消费作为影响产品造型设计的一个重要元素,正以其独有的魅力改变着消费者的消费行为,倡导设计师在客观洞察消费者心理的前提下进行设计,从而使设计更加具有亲和性,更进一步满足消费的高层次精神需求.     

Design for manufacturing and assembly/disassembly: joint design of products and production systems

Design for Manufacturing, Assembly, and Disassembly is important in today’s production systems because if this aspect is not considered, it could lead to inefficient operations and excessive material usage, both of which have a significant impact on manufacturing cost and time. Attention to this topic is important in achieving the target standards of Industry 4.0 which is inclusive of material utilisation, manufacturing operations, machine utilisation, features selection of the products, and development of suitable interfaces with information communication technologies (ICT) and other evolving technologies. Design for manufacturing (DFM) and Design for Assembly (DFA) have been around since the 1980’s for rectifying and overcoming the difficulties and waste related to the manufacturing as well as assembly at the design stage. Furthermore, this domain includes a decision support system and knowledge base with manufacturing and design guidelines following the adoption of ICT. With this in mind, ‘Design for manufacturing and assembly/disassembly: Joint design of products and production systems’, a special issue has been conceived and its contents are elaborated in detail. In this paper, a background of the topics pertaining to DFM, DFA and related topics seen in today’s manufacturing systems are discussed. The accepted papers of this issue are categorised in multiple sections and their significant features are outlined.     

A topological model of limitations in design for manufacturing

Design for manufacturing (DFM) is a methodology that requires the use of specific manufacturing information at all stages of design. The method relies on a collection of informal and often controversial principles that seem to have eluded the benefits of formal analysis. The transition from design to manufacturing can be modeled as a mathematical mapping, and it has been previously shown how the discontinuity of this mapping formally captures the folklore that small design changes can lead to significantly increased manufacturing cost. We study the properties of the transition map in the presence of design and manufacturing variations, and show that its continuity is closely related to the structure of design and manufacturing topological spaces. The main result of this paper establishes conditions on these spaces under which design for manufacturing cannot be described by any continuous transition map. In practical terms, our study reveals the limitations of many DFM systems and approaches in their ability to relate design and manufacturing knowledge, and explains these limitations in terms of a basic incompatibility between the underlying design and manufacturing representations. We discuss how our model applies to DFM relative to traditional manufacturing methods (such as casting and stamping) and we speculate what changes might occur for alternative manufacturing technologies (such as electrical discharge machining (EDM), stereolithography, laser machining, and particle deposition).     

Fixture design information support for integrated design and manufacturing

Although a vast amount of research has been conducted on developing computer-aided fixture design systems, the need for information exchange between the fixture design domain and other manufacturing domains has not been thoroughly dealt with. This paper addresses this gap in fixture design research through the development of appropriate information models for computer-aided fixture design systems to support integrated design and manufacturing. A fixture design activity model is presented that relates fixture design to other design and manufacturing activities. The implementation of the information models in XML and the exchange of the information models based on an XML messaging approach are also discussed.     

A model for co-evolution in manufacturing based on biological analogy

Manufacturing systems continue to adapt in order to survive the changing and challenging markets and global competition. Product and manufacturing design and capabilities are configured to allow the needed adaptation through innovative design, improved system paradigms, intelligent design and optimisation models, and product grouping to increase efficiency. In this research, it is hypothesised that the evolution and co-evolution of products and the machines used to manufacture them is akin to that observed in the adaptation of biological species. The symbiosis between products and manufacturing capabilities is studied using real examples, and a new model that establishes the symbiotic relationship between their evolution paths and observed co-evolution trends based on available historical information is proposed. Dual cladograms are used to track their evolution and detect useful potential development and plausible future evolution trends. When a state of co-evolution equilibrium is reached, a stimulus for more abrupt changes would be needed to cause further evolution on both sides. The co-evolution model has been applied to an example based on analysing the history of machine tools development and data from a major machine tools manufacturer. The evolution and co-evolution hypotheses of machined parts and machine tools were charted up to the currently observed state of equilibrium in this application field. This innovative model of co-evolution in manufacturing can help improve the utility of manufacturing resources and prolong the life of manufacturing systems beyond a single product generation and its variants.     

Fuzzy computer-aided design of process manufacturing facilities

Preliminary design of process manufacturing facilities involves, among other things, the synthesis of detailed layout designs. In current practice, this spatial design process is very labor-intensive and expensive. This paper describes a prototype CAD system which models design decision-making, providing a computable framework for automation. The CAD system performs auto-elicitation of an expert's judgment in the form of fuzzy sets using interactive computer graphics. These fuzzy sets are then used in a heuristic search process employing multi-objective, non-linear optimization. Designs synthesized by this fuzzy CAD system are comparable to those generated by hand, and in some cases exceed a practitioner's design in quality. The CAD system, as presently constructed, provides multiple solutions. Conclusions and recommendations regarding processing speed and unrepresented heuristic content are made.     

Thermomechanical modeling of molten metal droplet solidification applied to layered manufacturing

Transient and steady-state distributions of temperature and stress along the centerline of a single, initially molten metal droplet deposited onto a comparatively large substrate are examined. After investigating droplet deposition onto a room temperature substrate, the effect of substrate preheating on residual thermal stresses is quantified. Also, deposition of a second droplet is modeled and the effect on residual stresses of localized preheating by the first deposited droplet is assessed. Temperature-dependent conductivity, specific heat and density are used in coupled thermal models of droplet and substrate domains. Mechanical models include temperature-dependent Young's modulus, linear expansion coefficient and creep. Two-dimensional (2D) axisymmetric thermal and mechanical results are compared to one-dimensional (1D) results which approximate conditions along the droplet/substrate centerline. It is found that the more computationally efficient 1D models aid in interpreting the 2D results and provide reliable estimates of maximum stress magnitudes. Methods and results from this investigation are relevant to processes in which molten superheated metal contacts solid metal, such as welding processes. The specific application of interest in this work is droplet-level thermal and mechanical modeling of the microcasting stage of shape deposition manufacturing, which is a layered manufacturing process for the automated manufacture of complex three-dimensional metal parts.     

Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0

Additive Manufacturing (AM) requires integrated networking, embedded controls and cloud computing technologies to increase their efficiency and resource utilisation. However, currently there is no readily applicable system that can be used for cloud-based AM. The objective of this research is to develop a framework for designing a cyber additive manufacturing system that integrates an expert system with Internet of Things (IoT). An Artificial Neural Network (ANN) based expert system was implemented to classify input part designs based on CAD data and user inputs. Three ANN algorithms were trained on a knowledge base to identify optimal AM processes for different part designs. A two-stage model was used to enhance the prediction accuracy above 90% by increasing the number of input factors and datasets. A cyber interface was developed to query AM machine availability and resource capability using a Node-RED IoT device simulator. The dynamic AM machine identification system developed using an application programme interface (API) that integrates inputs from the smart algorithm and IoT interface for real-time predictions. This research establishes a foundation for the development of a cyber additive design for manufacturing system which can dynamically allocate digital designs to different AM techniques over the cyber network.     

Design for additive manufacturing (DfAM) methodologies: a proposal to foster the design of microwave waveguide components

ABSTRACT

Additive manufacturing offers many advantages, especially in terms of creativity and design freedom. However, this emerging technology is disrupting the way design is carried out and creativity is often limited by the cognitive barriers installed through years of traditional manufacturing processes. Likewise, as this manufacturing process is relatively recent and quite unknown to designers, its specificities are not always considered during the design phase, which leads to manufactured parts happening to differ from CAD models in terms of sizing or surface quality. Consequently, microwave components nowadays manufactured layer-by-layer do not exhibit operational electromagnetic performances. In this way, it is necessary to guide designers throughout the development of a product by drawing their attention to the different steps they must consider in order to design an additive manufactured optimised part.     

Object-oriented modelling of manufacturing information system for collaborative design

Object-oriented technology has been widely acclaimed as offering a revolution in computing that is resolving a myriad of problems inherent in developing and managing organisational information processing capabilities. Although its foundations arose in computer programming languages, object-oriented technology has implications for a wide range of business computing activities including: programming, analysis and design, information management, and information sharing. The problematic issues in the development of manufacturing software systems are related to the various characteristics of manufacturing systems, which are wide, dynamic and complex. Design for manufacturing (DFM) is the integrated practice of designing components while considering their manufacturability, and its benefits are widely acknowledged in the industry. A model has been developed using object oriented technology, after analysing the fundamental elements necessary for modelling manufacturing and process planning framework used in collaborative design and manufacturing in machine tool manufacturing. The main components of this model are: process planning model (PPM), manufacturing activity model (MAM), manufacturing resource model (MRM) and manufacturing cost and time model. We are using ontologies in conjunction with specific conceptual models, which can contribute to improve the interoperability between these models. The performance of this model is shown by means of one real world case. The developed manufacturing information based design tool integrated with an intelligence design system can be used for collaborative design and manufacturing, which will support machine tool designers’ to achieve cost effective and timely design.     

Design for manufacturing: application of collaborative multidisciplinary decision-making methodology

Design for manufacturing is often difficult for mechanical parts, since significant manufacturing knowledge is required to adjust part designs for manufacturability. The traditional trial-and-error approach usually leads to expensive iterations and compromises the quality of the final design. The authors believe the appropriate way to handle product design for manufacturing problems is not to formulate a large design problem that exhaustively incorporates design and manufacturing issues, but to separate the design and manufacturing activities and provide support for collaboration between engineering teams. In this article, the Collaborative Multidisciplinary Decision-making Methodology is used to solve a product design and manufacturing problem. First, the compromise Decision Support Problem is used as a mathematical model of each engineering teams’ design decisions and as a medium for information exchange. Second, game-theoretic principles are employed to resolve couplings or interactions between the teams’ decisions. Third, design-capability indices are used to maintain design freedom at the early stages of product realization in order to accommodate unexpected downstream design changes. A plastic robot-arm design and manufacturing scenario is presented to demonstrate the application of this methodology and its effectiveness for solving a complex design for manufacturing problem in a streamlined manner, with minimal expensive iterations.