Design, modelling, simulation and integration of cyber physical systems: Methods and applications

P Hehenberger, B Vogel-Heuser, D Bradley… - Computers in …, 2016 - Elsevier
The main drivers for the development and evolution of Cyber Physical Systems (CPS) are
the reduction of development costs and time along with the enhancement of the designed …

A review of function modeling: Approaches and applications

MS Erden, H Komoto, TJ Van Beek, V D'Amelio… - Ai Edam, 2008 - cambridge.org
This work is aimed at establishing a common frame and understanding of function modeling
(FM) for our ongoing research activities. A comparative review of the literature is performed …

Digital twin-driven product design framework

F Tao, F Sui, A Liu, Q Qi, M Zhang, B Song… - … Journal of Production …, 2019 - Taylor & Francis
With the advent of new generation information technologies in industry and product design,
the big data-driven product design era has arrived. However, the big data-driven product …

Big data in product lifecycle management

J Li, F Tao, Y Cheng, L Zhao - The International Journal of Advanced …, 2015 - Springer
Abstract Recently,“Big Data” has attracted not only researchers' but also manufacturers'
attention along with the development of information technology. In this paper, the concept …

Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation

D Wu, DW Rosen, L Wang, D Schaefer - Computer-aided design, 2015 - Elsevier
Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product
development model in which service consumers are enabled to configure, select, and utilize …

ChatGPT for design, manufacturing, and education

X Wang, N Anwer, Y Dai, A Liu - Procedia CIRP, 2023 - Elsevier
The manufacturing industry involves innumerable complex tasks that require significant
knowledge and experience to execute. With the rapid development of artificial intelligence …

Generative transformers for design concept generation

Q Zhu, J Luo - Journal of Computing and Information …, 2023 - asmedigitalcollection.asme.org
Generating novel and useful concepts is essential during the early design stage to explore a
large variety of design opportunities, which usually requires advanced design thinking ability …

The evolution, challenges, and future of knowledge representation in product design systems

SK Chandrasegaran, K Ramani, RD Sriram… - Computer-aided …, 2013 - Elsevier
Product design is a highly involved, often ill-defined, complex and iterative process, and the
needs and specifications of the required artifact get more refined only as the design process …

Knowledge-enhanced generative adversarial networks for schematic design of framed tube structures

Y Fei, W Liao, Y Huang, X Lu - Automation in Construction, 2022 - Elsevier
In the schematic design phase of framed tube structures, component sizing is a vital task that
requires expert experience and domain knowledge. Deep learning-based structural design …

Assembly based methods to support product innovation in design for additive manufacturing: an exploratory case study

F Laverne, F Segonds, N Anwer… - Journal of …, 2015 - asmedigitalcollection.asme.org
Additive manufacturing (AM) is emerging as an important manufacturing process and a key
technology for enabling innovative product development. Design for additive manufacturing …