23,445 research outputs found
Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review
The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field
A requirements engineering framework for integrated systems development for the construction industry
Computer Integrated Construction (CIC) systems are computer environments through which
collaborative working can be undertaken. Although many CIC systems have been developed to demonstrate the
communication and collaboration within the construction projects, the uptake of CICs by the industry is still
inadequate. This is mainly due to the fact that research methodologies of the CIC development projects are
incomplete to bridge the technology transfer gap. Therefore, defining comprehensive methodologies for the
development of these systems and their effective implementation on real construction projects is vital.
Requirements Engineering (RE) can contribute to the effective uptake of these systems because it drives the
systems development for the targeted audience. This paper proposes a requirements engineering approach for
industry driven CIC systems development. While some CIC systems are investigated to build a broad and deep
contextual knowledge in the area, the EU funded research project, DIVERCITY (Distributed Virtual Workspace
for Enhancing Communication within the Construction Industry), is analysed as the main case study project
because its requirements engineering approach has the potential to determine a framework for the adaptation of
requirements engineering in order to contribute towards the uptake of CIC systems
AMP: A Science-driven Web-based Application for the TeraGrid
The Asteroseismic Modeling Portal (AMP) provides a web-based interface for
astronomers to run and view simulations that derive the properties of Sun-like
stars from observations of their pulsation frequencies. In this paper, we
describe the architecture and implementation of AMP, highlighting the
lightweight design principles and tools used to produce a functional
fully-custom web-based science application in less than a year. Targeted as a
TeraGrid science gateway, AMP's architecture and implementation are intended to
simplify its orchestration of TeraGrid computational resources. AMP's web-based
interface was developed as a traditional standalone database-backed web
application using the Python-based Django web development framework, allowing
us to leverage the Django framework's capabilities while cleanly separating the
user interface development from the grid interface development. We have found
this combination of tools flexible and effective for rapid gateway development
and deployment.Comment: 7 pages, 2 figures, in Proceedings of the 5th Grid Computing
Environments Worksho
Survey on Additive Manufacturing, Cloud 3D Printing and Services
Cloud Manufacturing (CM) is the concept of using manufacturing resources in a
service oriented way over the Internet. Recent developments in Additive
Manufacturing (AM) are making it possible to utilise resources ad-hoc as
replacement for traditional manufacturing resources in case of spontaneous
problems in the established manufacturing processes. In order to be of use in
these scenarios the AM resources must adhere to a strict principle of
transparency and service composition in adherence to the Cloud Computing (CC)
paradigm. With this review we provide an overview over CM, AM and relevant
domains as well as present the historical development of scientific research in
these fields, starting from 2002. Part of this work is also a meta-review on
the domain to further detail its development and structure
Five-Axis Machine Tool Condition Monitoring Using dSPACE Real-Time System
This paper presents the design, development and SIMULINK implementation of the lumped parameter model of C-axis drive from GEISS five-axis CNC machine tool. The simulated results compare well with the experimental data measured from the actual machine. Also the paper describes the steps for data acquisition using ControlDesk and hardware-in-the-loop implementation of the drive models in dSPACE real-time system. The main components of the HIL system are: the drive model simulation and input – output (I/O) modules for receiving the real controller outputs. The paper explains how the experimental data obtained from the data acquisition process using dSPACE real-time system can be used for the development of machine tool diagnosis and prognosis systems that facilitate the improvement of maintenance activities
Enabling Technologies for Silicon Microstrip Tracking Detectors at the HL-LHC
While the tracking detectors of the ATLAS and CMS experiments have shown
excellent performance in Run 1 of LHC data taking, and are expected to continue
to do so during LHC operation at design luminosity, both experiments will have
to exchange their tracking systems when the LHC is upgraded to the
high-luminosity LHC (HL-LHC) around the year 2024. The new tracking systems
need to operate in an environment in which both the hit densities and the
radiation damage will be about an order of magnitude higher than today. In
addition, the new trackers need to contribute to the first level trigger in
order to maintain a high data-taking efficiency for the interesting processes.
Novel detector technologies have to be developed to meet these very challenging
goals. The German groups active in the upgrades of the ATLAS and CMS tracking
systems have formed a collaborative "Project on Enabling Technologies for
Silicon Microstrip Tracking Detectors at the HL-LHC" (PETTL), which was
supported by the Helmholtz Alliance "Physics at the Terascale" during the years
2013 and 2014. The aim of the project was to share experience and to work
together on key areas of mutual interest during the R&D phase of these
upgrades. The project concentrated on five areas, namely exchange of
experience, radiation hardness of silicon sensors, low mass system design,
automated precision assembly procedures, and irradiations. This report
summarizes the main achievements
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