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Application of knowledge-based engineering for automated slide design

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2014年第5-8期74卷 637-651页

作者： Jong, Wen-Ren Ting, Yu-Hung Li, Tai-Chih Chung Yuan Christian Univ Dept Mech Engn Chungli 32023 Taiwan Chung Yuan Christian Univ R&D Ctr Mold & Molding Technol Chungli 32023 Taiwan

When plastic products have protrusions or depression features in directions that are different from the parting direction, such as holes, text, grooves, or flanges, these features will result in interference in the ejection of the molded products. The interference of opening the mold can only be solved through the design of the slide or lifter through mechanical or electrical control that enables the slide or lifter to coordinate with the movement of the mold. Under the framework of CAD software, this study combined knowledge-based engineering (KBE) technology to integrate knowledge and CAD software, in order to plan and develop a method for identifying the undercut feature. For the relationships of the surfaces, edges, and points of the product's side protrusion or depression, this study summarized an algorithm to automatically recognize the undercut feature by programming an algorithm. The algorithm is structured in the web-based mold design navigation process for the systematic and knowledgeable integration for the automatic design of slide core parting surface. based on the integration of theory and knowledge, this study reduced the number of mouse clicks by 85 % than that of the traditional manual method;thus, users can finish the design quickly and reduce the number of operational errors.

关键词： Feature recognition knowledge-based engineering Navigating process Computer-aided design Injection mold design

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An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2014年第20期52卷 6192-6215页

作者： Sanya, I. O. Shehab, E. M. Cranfield Univ Mfg & Mat Dept Prod & Serv Innovat Ctr Cranfield MK43 0AL Beds England

This paper presents the development of a novel knowledge-based engineering (KBE) framework for implementing platform-independent knowledge-enabled product design systems within the aerospace industry. The aim of the KBE framework is to strengthen the structure, reuse and portability of knowledge consumed within KBE systems in view of supporting the cost-effective and long-term preservation of knowledge within such systems. The proposed KBE framework uses an ontology-based approach for semantic knowledge management and adopts a model-driven architecture style from the software engineering discipline. Its phases are mainly (1) Capture knowledge required for KBE system;(2) Ontology model construct of KBE system;(3) Platform-independent model (PIM) technology selection and implementation and (4) Integration of PIM KBE knowledge with computer-aided design system. A rigorous methodology is employed which is comprised of five qualitative phases namely, requirement analysis for the KBE framework, identifying software and ontological engineering elements, integration of both elements, proof of concept prototype demonstrator and finally experts validation. A case study investigating four primitive three-dimensional geometry shapes is used to quantify the applicability of the KBE framework in the aerospace industry. Additionally, experts within the aerospace and software engineering sector validated the strengths/benefits and limitations of the KBE framework. The major benefits of the developed approach are in the reduction of man-hours required for developing KBE systems within the aerospace industry and the maintainability and abstraction of the knowledge required for developing KBE systems. This approach strengthens knowledge reuse and eliminates platform-specific approaches to developing KBE systems ensuring the preservation of KBE knowledge for the long term.

关键词： knowledge-based engineering ontology platform independent model driven

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Application of knowledge-based engineering for ship optimisation design

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SHIPS AND OFFSHORE STRUCTURES 2014年第1期9卷 64-73页

作者： Yang, Hezhen Chen, Jinfeng Lu, Qijin Ma, Ning Shanghai Jiao Tong Univ Sch Naval Architecture Ocean & Civil Engn State Key Lab Ocean Engn Shanghai 200030 Peoples R China China Classificat Soc Qingdao Branch Qingdao Peoples R China

This paper presents a knowledge-based engineering (KBE) application for ship structural optimisation design. Ship structural design variables are discrete, involving a variety of design requirements and constraints;this leads to highly non-linear, multi-modal, and convergence problems in structural optimisation. Ship optimisation development has ignored the application of design specifications, expert experience and other knowledge accumulated in the design process. The best solution is to combine an advanced optimisation technique with KBE, which can capture rich information to apply in optimisation loops. During the optimisation process, there are three steps for applying the KBE technique. The first step is to select the design variable values and set the design optimisation according to the knowledge base. The second step is to select the proper design process to support the optimisation design. The final step is to check the best optimisation solutions according to the KBE techniques. This approach was applied to the example of a watertight transverse bulkhead. The optimisation design of the bulkhead shows that the optimised weight of the structure is lower than that for the design without KBE, while meeting the required constraints. The design process with KBE therefore ensures reasonable performance of this structure while achieving the minimum weight objective. In addition, it combines a structural parameterised model with mathematical optimisation, which provides a shortcut for designers with less experience in structural design. In conclusion, this proposed methodology combines knowledge from different sources and applies it to the structural optimisation design of ships, which can improve the design level and reduce designer dependence on experience.

关键词： optimisation knowledge-based engineering ship design knowledge base

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Decision-making technology based on knowledge engineering and experiment on the intelligent water-fertilizer irrigation system

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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND engineering 2021年第3期21卷 665-684页

作者： Zhai, Zhiyong Chen, Xing Zhang, Yubin Zhou, Rui Ningbo Polytech Ningbo Zhejiang Peoples R China Haitian Int Holdings Ltd Ningbo Zhejiang Peoples R China Ningbo Univ Finance & Econ Coll Digital Technol & Engn Ningbo 315175 Zhejiang Peoples R China

Although the irrigation technologies based on the Decision-making System (DMS) began in the late 1990s, while being merely embryonic from laboratory research into application in the agricultural irrigation areas, DMS based on intelligent algorithms have drawn much attention from the academia over the recent years. In this study, we have provided an overview of the decision-making technology based on knowledge engineering for intelligent irrigation system referred to as knowledge-based engineering (KBE). As the modern technical research and scientific theory on agricultural water saving is further developed, the water-fertilizer irrigation is becoming increasingly intelligent. We have put forward the concept of KBE intelligent irrigation system and its support to decision-making in the study, while adopting the techniques and methods of knowledge engineering. In addition, we have combined our research findings with the expert knowledge on the water-fertilizer irrigation in a system integrated with computer network, intelligent reasoning and artificial intelligence (AI), among other modern high-techs. We have set up the decision-making models and analytical methods of irrigation and fertilization for KBE by referring to the expert experience and data of fertilization. Moreover, we have taken into account the web crawler technology in irrigation and fertilization, and we have put forward novel methods of knowledge acquisition based on the web crawler. Correspondingly, we have established the knowledge base for the decision-making support system tailored to irrigation and fertilization. The experiment result shows that the recommended irrigation quota is compared with local cultivation technology experience to obtain a decision accuracy of 81.7%. And the water and fertilizer management plan obtained by the intelligent decision-making system has a thicker stem and higher plant height during the growth period than the crops obtained by local cultivation experience. The ou

关键词： knowledge-based engineering decision-making support intelligent irrigation artificial intelligence

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A Mesh Generation Method for Geometric Features based on knowledge-based engineering 2

A Mesh Generation Method for Geometric Features Based on Kno...

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2nd International Conference on Systems and Informatics (ICSAI)

作者： Liu, Heng Xi, Ping BeiHang Univ Sch Mech Engn & Automat Beijing Peoples R China

ISBN: (纸本)9781479954582

Although many mesh generation methods have been developed, difficulties still exist in generating high-quality structured hex-meshes for specific local geometric features such as holes and columns in three-dimensional models. In this paper, a mesh generation approach is proposed to overcome the problem of meshing local features having regular structure with high quality. Firstly, analyze the feature's geometry information and customize its mesh process. Secondly, introduce parametric design into the optimization of mesh customization. Scaled Jacobian and aspect ratio are taken as indexes of the objective functions. Thirdly, an optimized module of the feature is set up by integrating the meshing scheme into program. By establishing a knowledge base of optimized modules corresponding to geometric features, a local feature can be automatically meshed according to its geometry information. Experiments in this paper reveal that the method is applicable and stable for generating high-quality meshes for local geometric features with regular structure.

关键词： hexahedral mesh local feature optimized module knowledge-based engineering

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Application of knowledge-based engineering in the Automobile Panel Die Design 21

Application of Knowledge-based Engineering in the Automobile...

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21st ISPE Inc International Conference on Concurrent engineering

作者： Wen, Jiafu Guo, Wei Wang, Zhenhai Tianjin Univ Sch Mech Engn Key Lab Adv Mfg Technol & Equipment Tianjin 300072 Peoples R China Tianjin Univ Coll Management & Econ Tianjin 300072 Peoples R China

ISBN: (纸本)9781614994404;9781614994398

Automobile panel die is the typically customized parts in the car industries requiring many designers and engineering knowledge to meet the changing requirements. Meanwhile, industrial companies are always being exhorted to become more competitive by reducing the lead time and costs for their products to survival. KBE technology is a relatively young technology with competitive advantage for design application to reduce the lead-time drastically. This paper addressed the structure of the automobile panel die design system based on the KBE technology in details. The system operates by creating a unified knowledge base to store the scattered knowledge among the design process from the experts and engineering knowledge resources through coding, which contained in the expert's brain and technical literature. It helps designers to make appropriate decisions by supplying necessary information at the right time through query and inference engine to represent the knowledge within the KBE application framework. We mainly use the RBR and CBR retrieving mechanism to reach the best solutions. In the paper, an example was given to illustrate the operation process and prove its validity.

关键词： Artificial intelligence knowledge-based engineering knowledge acquisition Reasoning mechanism

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knowledge-based product and process design synthesis of additively manufactured non-assembly mechanisms

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JOURNAL OF engineering DESIGN 2024年第7期35卷 818-848页

作者： Schaechtl, Paul Goetz, Stefan Schleich, Benjamin Wartzack, Sandro Friedrich Alexander Univ Erlangen Nurnberg Engn Design Erlangen Germany Tech Univ Darmstadt Prod Life Cycle Management PLCM Darmstadt Germany

Additive Manufacturing increasingly becomes a viable alternative to conventional manufacturing technologies. However, the knowledge and awareness to achieve a ready-for-manufacturing and quality-ensured design of additively manufactured products are mostly lacking. knowledge from the manufacturing process on how certain process variables affect the product requirements must already be considered in product design to assure and potentially enhance the quality a priori, thus saving time and cost-intensive iterations. Therefore, this knowledge must be front-loaded as a basis to suitably adapt product and process design simultaneously. This contribution therefore proposes a framework for the simultaneous product and process design synthesis of existing designs by providing insight knowledge about product and process design specific to Fused Layer Modeling. This is achieved via a consolidated ontology-based knowledge representation and its integration in a design environment. Thus, the aim, in contrast to most existing approaches, is to provide this knowledge on a product- and application-specific basis to parallelise product and process design for non-assembly mechanisms and exploit currently unused potential concerning the interaction between the different domains. This can shorten development times and also compensate for a lack of background knowledge in certain areas. A practical use case highlights the general procedure, benefits, and applicability.

关键词： Additive manufacturing fused layer modeling knowledge-based engineering product design process design ontology

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Developing an integrated design framework using python scripting for parametric CAD modelling of flange coupling

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INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM 2024年第7期18卷 4451-4462页

作者： Patil, K. R. Deshpande, Shaunak Joshi, Sumedh Raul, A. K. Marathwada Mitra Mandal Coll Engn Pune Maharashtra 411052 India My Res Room Pvt Ltd Pune 411052 Maharashtra India

A novel integration of Autodesk AutoCAD with the Python programming language to enable efficient CAD modeling of a flange coupling was presented in this research article. Our primary contributions include the introduction of a knowledge-based system approach for design and the developing of a dedicated GUI that facilitates parametric design. This approach not only streamlines customization and reduces redundancies but also caters to the specific needs of different machines with varied flange coupling parameters. Despite the importance of digital design in the competitive landscape, many applications fall short of fully embracing digitalization across the product lifecycle. As a result, to create such components, it is critical to develop rapid modification frameworks. The KBE approach is used for coupling design when developing an integrated system. The process sequence is decided based on the application of the coupling. The design framework has been developed using the Python Programming Language for generating two-dimensional drawings using the AutoCAD API. An expert system was developed using the KBS approach to develop an integrated design framework. A dedicated Graphic User Interface (GUI) has also been developed for the parametric design of flange couplings, which may increase user productivity. The study outcomes provide a customized design of the flange coupling and create 2D manufacturing drawings of the Flange Coupling. This paper also demonstrates how knowledge-based learning can be used to develop cost-effective, time-efficient, and robust designs.

关键词： Computer-aided design Flange coupling knowledge-based engineering Parametric design Parametric modelling

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An unified CAD/CAE/VR tool for ship structure design and evaluation based on multi-domain feature mapping

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OCEAN engineering 2023年第1期280卷

作者： Li, Chuntong Wei, Pengyu Luo, Xiaomeng Jiang, Ze Wang, Deyu Shanghai Jiao Tong Univ State Key Lab Ocean Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Inst Marine Equipment Shanghai Peoples R China Shipbuilding Technol Res Inst Shanghai Peoples R China Natl Engn Res Ctr Ship Intelligent Mfg Shanghai Peoples R China China Ship Sci Res Ctr Wuxi Peoples R China

Computer-aided design (CAD), computer-aided engineering (CAE), and virtual reality (VR) are three distinct disciplines. For the collaborative design and interactive evaluation of ship structures, the main obstacle lies in the large differences in model data structures. In this regard, a unified tool for ship structure design/analysis/virtual evaluation based on Multi-Domain Feature Mapping (MDFM) is proposed. The multi-layer transmission and matching mechanism between data, information and knowledge established by Extensible Markup Language (XML) can realize the feature association among design, analysis and evaluation domain, so that CAD, CAE and VR become an organic entity. In the virtual scene, a visual expression strategy of CAD model and FEA data based on Unified Mesh Model (UMM) is proposed. The advantage of this unified tool lies in the intelligent generation of finite element models, as well as the virtual visualization and model reconstruction and evaluation of models with different topologies. Intelligent finite element (FE) meshing and analysis applications integrating knowledge templates represent a major subset of unified CAD/CAE/VR tools for structural models from CAD systems. The structure and data flow management of this unified tool is based on a common design process, which allows designers to link anticipated scenarios with proposed engineering changes. Finally, the effectiveness of the proposed tool is demonstrated by engineering examples.

关键词： CAD CAE VR integration Ship structure knowledge-based engineering Multi-domain feature mapping

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Industrialization of Site Operations Planning and Management: A BIM-based Decision Support System 20th

Industrialization of Site Operations Planning and Management...

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20th International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and knowledge Management for Sustainable Innovation (PLM)

作者： Blampain, Felix Bricogne, Matthieu Eynard, Benoit Bricogne, Celine Pinon, Sebastien Univ Technol Compiegne F-60203 Compiegne France Spie Batignolles F-92000 Nanterre France

ISBN: (纸本)9783031625800;9783031625787;9783031625770

Construction industry faces many challenges as socio-economical needs evolve and Building Information Modeling (BIM) disrupts practices. BIM processes and solutions are mainly suited for the design stage of a project and experts are currentlyworking to bridge the gap with the construction stage. Improving on BIM practices could be done by creating a more industrialized way of handling construction operations by learning from other industrial fields. This could help to manage quality, delay, and cost more precisely, while considering new indicators (e.g.: GHG emissions). BIM could be improved by developing a construction stage specific data structure inspired by Product Lifecycle Management (PLM) systems. This requires to dynamically manage data for different stakeholders before and during the operations. This paper presents a conceptual data framework to develop a BIM-based decision support system to plan and manage construction operations. A 4D digital mock-up is gradually enriched to support construction processes studies resulting in a As Planned view of the building. Process engineering work is carried through iterative loops and supported by knowledge-based indicators. A cross-disciplinary workflow allows the use of new production methods (e.g.: off-site modular construction). An As Built view of the mock-up is concurrently created as operations advance and changes occur, feeding back the knowledge-based indicators.

关键词： Building Information Modelling Product Lifecycle Management knowledge-based engineering Enterprise Information System

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