Data-driven design-by-analogy: state-of-the-art and future directions
Abstract Design-by-analogy (DbA) is a design methodology wherein new solutions,
opportunities, or designs are generated in a target domain based on inspiration drawn from …
opportunities, or designs are generated in a target domain based on inspiration drawn from …
[HTML][HTML] Data-driven engineering design: A systematic review using scientometric approach
In the last two decades, data regarding engineering design and product development has
increased rapidly. Big data exploration and mining offer numerous opportunities for …
increased rapidly. Big data exploration and mining offer numerous opportunities for …
Implications of data-driven product design: From information age towards intelligence age
Abstract Data-driven design (D 3), a new design paradigm benefited from advanced data
analytics and computational intelligence, has gradually promoted the research of data …
analytics and computational intelligence, has gradually promoted the research of data …
Optimizing fused deposition modelling parameters based on the design for additive manufacturing to enhance product sustainability
Nowadays, designers and engineers rely on specific manufacturing guidelines to bring
quality products to market with minimum time and error. Design for Additive Manufacturing …
quality products to market with minimum time and error. Design for Additive Manufacturing …
Design representation as semantic networks
Abstract Design representation is a common task in the design process to facilitate learning,
analysis, redesign, communication, and other design activities. Traditional representation …
analysis, redesign, communication, and other design activities. Traditional representation …
Natural language processing in-and-for design research
L Siddharth, L Blessing, J Luo - Design Science, 2022 - cambridge.org
We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …
techniques to support the design process. Using a heuristic approach, we gathered 223 …
Enhancing industry 4.0 standards interoperability via knowledge graphs with natural language processing
Abstract Industry 4.0 (I4. 0) has brought several challenges related to the need to acquire
and integrate large amounts of data from multiple sources in order to integrate these …
and integrate large amounts of data from multiple sources in order to integrate these …
A novel knowledge graph development for industry design: a case study on indirect coal liquefaction process
Z Wang, B Zhang, D Gao - Computers in Industry, 2022 - Elsevier
Hazard and operability analysis (HAZOP) is a remarkable representative in industrial safety
engineering. However, a great storehouse of industrial safety knowledge (ISK) in HAZOP …
engineering. However, a great storehouse of industrial safety knowledge (ISK) in HAZOP …
[HTML][HTML] Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment
In the last years, multiple quality control tasks consist in classifying some items based on
their aesthetic characteristics (aesthetic quality control, AQC), where usually the aspect of …
their aesthetic characteristics (aesthetic quality control, AQC), where usually the aspect of …
Toward a sustainable educational engineer archetype through Industry 4.0
In the last decade, a shift toward Sustainable Development (SD) in engineering has started
in the educational and occupational framework. Therefore, the need to rethink the …
in the educational and occupational framework. Therefore, the need to rethink the …