The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021

Kügler, Patricia; Dworschak, Fabian; Schleich, Benjamin; Wartzack, Sandro

doi:10.1016/j.aei.2023.101892

Cited by 10 publications

(4 citation statements)

References 95 publications

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“…Developers act as both a consumer and a synthesizer and analyzer of knowledge. Knowledge engineering is considered as a set of synthesis of ideas, modeling, and design of technical systems together with technological processes [1][2][3]. This process is based on extensive use of information technology.…”

Section: Statement Of the Problemmentioning

confidence: 99%

Engineering Solutions Synthesis Based on Morphological Knowledge-Based Engineering

Rakov

2024

Advances in Transdisciplinary Engineering

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Engineering knowledge is an important step for creating innovative products. This paper discusses the morphological knowledge-based engineering (KBE). The development of science and technology is characterized by the increasing complexity of created technical means, a sharp increase in the cost of their development, production, operation, as well as rapid obsolescence. In this connection, the solution of the problem of creating machinery with a high technical level acquires special importance. A huge number of factors of structural, technological, operational, and economic nature, affecting the process of creating new equipment, predetermined the need to use system analysis and synthesis of knowledge in the synthesis of engineering systems. All this increases the number of possible implementations of both individual units and devices, and engineering systems. The need to improve the overall design methodology (and technological processes) is constantly increasing, which is a consequence of high rates of scientific and technological progress. Requirements for the maximum reduction of time spent on the entire cycle of creating a system or technological process have increased sharply. Morphological approaches correspond to these objective processes. They are considered in this paper and an example of the creation of an innovative aerostats system is given. The purpose of the article is to analyze the application of advanced morphological approaches. The approach is based on the application of set theory and agglomerative clustering of solutions. The paper describes the approach and results of using the proposed approach. As a result, the analysis and synthesis of innovative engineering solutions were carried out and recommendations for further development of the methodology were given. The use of the approach is considered as a continuous process of improving the technical level of engineering systems.

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Section: Statement Of the Problemmentioning

confidence: 99%

Engineering Solutions Synthesis Based on Morphological Knowledge-Based Engineering

Rakov

2024

Advances in Transdisciplinary Engineering

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“…However, as Kügler has pointed out [22], despite a decade of scattered literature in the field, the challenges identified by Verhagen [23] remain unresolved. These challenges can be summarized into three: the absence of a well-defined conceptual framework for KBE research with quantitative assessment of costs and benefits [23], insufficient connections between knowledge sources and automation, and a tendency to overlook the diversity of application areas in KBE [22].…”

Section: Design Automationmentioning

confidence: 99%

Machine Learning In Design Engineering and Manufacturing

Villena Toro

2023

Linköping Studies in Science and Technology. Licentiate Thesis

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Artificial intelligence (AI) has made significant strides in various fields, challenging conventional notions of computer capabilities. However, while data science research primarily concentrates on refining AI models, there are numerous challenges associated with integrating AI into industrial applications.Knowledge-Based Engineering, with its potential to streamline the production cycle by reusing engineering knowledge and intent, emerges as a promising avenue for AI in the industry. When engineering knowledge is effectively processed and categorized, neural networks naturally emerge as potent tools for automation. This thesis presents three case studies that demonstrate the practicality of supervised learning, particularly in the domain of neural networks, to address manufacturing automation challenges. These case studies span various stages of the manufacturing system, encompassing engineering design, production planning, and quality control phases. The first application employs supervised learning to automate the generation of engineering drawings, while the third employs optical character recognition to expedite the quality control process for complex engineering drawings. The second application centers on the estimation of fixturing clamps for welding operations in automobile parts.In summary, this thesis strives to make a meaningful contribution to the field of design engineering and manufacturing by examining the potential of AI in enhancing processes and addressing automation hurdles. By presenting case studies that showcase the utility of machine learning models in production settings, this thesis aims to stimulate further research in this evolving field.iii Realization, Linköping University. I would like to express my gratitude to everyone involved in the research projects and the rest of the division. Special thanks go to my supervisory team: Mehdi Tarkian, for believing in me and providing constant motivation; Anton Wiberg, for valuable insights and our extensive discussions about possible future projects; Peter Hallberg and Johan Ölvander, for their senior assessment and guidance. I want to thank both current and former Ph.D. students for their inspiration and for creating such a great working environment, especially my office roommates and the Spanish speakers on the other side of the corridor.I also extend my thanks to my parents, sister, and grandparents for their constant support from abroad, as well as to Irene, my life partner, for her support on a daily basis. Finally, thanks to you, for opening this thesis and reading it, at least until the end of the acknowledgments. v Appended PublicationsPapers I-IV presented below comprise the foundation of this thesis. The papers are referred to with bold capital romans.

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“…They discussed key technologies, including computer-aided modular design techniques and the construction of specific product rapid development systems based on KBE. KBE theory is capable of meeting high repeatability, restrictiveness, and rule-based requirements [38]. At present, KBE is primarily applied in the field of mechanics.…”

Section: Introductionmentioning

confidence: 99%

Research on the Modular Design and Application of Prefabricated Components Based on KBE

Li,

Feng,

Liu

et al. 2023

Buildings

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The design and production of prefabricated buildings pose challenges in achieving standardization, limiting their extensive adoption. In order to address issues of prefabricated components, such as the low reusability of design knowledge, limited standardization, and design disconnection, this paper adopted the prefabricated cantilevered structure components as the research object. It employs knowledge-based engineering (KBE) theory and secondary split modularization approach in conjunction with Revit secondary development technology to establish a modular design system. The system formalizes complex design knowledge into concise user interfaces and a logically clear programming language, ensuring the design system’s ease of use and accessibility. To validate the authenticity and applicability of the modular design system developed in this paper, a comparison is made between the traditional modeling tool and modular modeling tool. Through empirical analysis, the result indicates that the new tool proposed in this paper can enhance the efficiency of design professionals by 72.92%. Among these, the tool meets the modeling and design requirements of 96.1% of the prefabricated components in the project, making it highly suitable for the modeling and design process of the vast majority of prefabricated components. Therefore, this design approach, which integrates KBE and three-dimensional geometric technology, makes the modular design of prefabricated cantilevered structural components feasible, providing a reference for future research in the design of other prefabricated components.

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The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021

Cited by 10 publications

References 95 publications

Engineering Solutions Synthesis Based on Morphological Knowledge-Based Engineering

Engineering Solutions Synthesis Based on Morphological Knowledge-Based Engineering

Machine Learning In Design Engineering and Manufacturing

Research on the Modular Design and Application of Prefabricated Components Based on KBE

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