3 research outputs found
Aircraft digital assembly process design technology based on 3D Model
In order to improve the quality, efficiency and cooperativity of aircraft assembly, based on the analysis of the characteristics of aircraft assembly process, a method for assembly process design, simulation and application based on three dimensional (3D) product model was proposed. The basic working process and system structure of the method were introduced, and the 3D digital assembly process planning, design and simulation optimization application mode was explored. This method has been applied in the design of aircraft assembly process, the efficiency and synergy of process design have been greatly improved
Towards Populating Generalizable Engineering Design Knowledge
Aiming to populate generalizable engineering design knowledge, we propose a
method to extract facts of the form head entity :: relationship :: tail entity
from sentences found in patent documents. These facts could be combined within
and across patent documents to form knowledge graphs that serve as schemes for
representing as well as storing design knowledge. Existing methods in
engineering design literature often utilise a set of predefined relationships
to populate triples that are statistical approximations rather than facts. In
our method, we train a tagger to identify both entities and relationships from
a sentence. Given a pair of entities thus identified, we train another tagger
to identify the relationship tokens that specifically denote the relationship
between the pair. For training these taggers, we manually construct a dataset
of 44,227 sentences and corresponding facts. We also compare the performance of
the method against typically recommended approaches, wherein, we predict the
edges among tokens by pairing the tokens independently and as part of a graph.
We apply our method to sentences found in patents related to fan systems and
build a domain knowledge base. Upon providing an overview of the knowledge
base, we search for solutions relevant to some key issues prevailing in fan
systems. We organize the responses into knowledge graphs and hold a comparative
discussion against the opinions from ChatGPT
Natural Language Processing in-and-for Design Research
We review the scholarly contributions that utilise Natural Language
Processing (NLP) methods to support the design process. Using a heuristic
approach, we collected 223 articles published in 32 journals and within the
period 1991-present. We present state-of-the-art NLP in-and-for design research
by reviewing these articles according to the type of natural language text
sources: internal reports, design concepts, discourse transcripts, technical
publications, consumer opinions, and others. Upon summarizing and identifying
the gaps in these contributions, we utilise an existing design innovation
framework to identify the applications that are currently being supported by
NLP. We then propose a few methodological and theoretical directions for future
NLP in-and-for design research