2017
DOI: 10.1016/j.compositesb.2016.12.050
|View full text |Cite
|
Sign up to set email alerts
|

Digitisation of manual composite layup task knowledge using gaming technology

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(3 citation statements)
references
References 21 publications
0
3
0
Order By: Relevance
“…A similar technology called Kinect has been used by Prabhu et al [11] to capture human motion information in conjunction with machine learning algorithms. This was used to analyse the digitisation of skilled workers in composite laying operations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A similar technology called Kinect has been used by Prabhu et al [11] to capture human motion information in conjunction with machine learning algorithms. This was used to analyse the digitisation of skilled workers in composite laying operations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Many approaches have been proposed: casebased reasoning [184], graph-based-reasoning [185], enterprise modelling [186], design project memory [187], etc. Digitalisation has been a great mean capturing high skilled tasks in industry [188].…”
Section: Complexity Within the Product Development Processmentioning
confidence: 99%
“…Thus, there are substantial technical and economic incentives for replacing hand layup with an automated process that can (1) improve productivity and reduce the risk of operator injury due to repetitive motion injuries, and other ergonomically challenging tasks, (2) provide consistent layup quality through a formalized and optimized process, reducing the risk of human-induced defects, and (3) increase throughput and reduce overall costs. The hand layup process was studied by Elkington et al [6,7] and Prabhu et al [8] to identify methods used for deforming and draping prepreg to a complex-shaped tool surface. Such et al [9] investigated the use of tracking and projection technologies to assist human operators during layup.…”
Section: Introductionmentioning
confidence: 99%