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A Concept from Sensor to Sustainability in Machining - An Interdisciplinary Approach over a Wide TRL Range

Ståhl, Jan Eric LU ; Mikkelsen, Anders LU ; Lenrick, Filip LU orcid ; Sandsten, Maria LU ; Alm, Anna Karin LU and Windmark, Christina LU (2024) 11th Swedish Production Symposium, SPS2024 In Advances in Transdisciplinary Engineering 52. p.148-170
Abstract

This publication describes a concept that intends to enable an optimization of machining with regard to the balance between criteria related to technology, economy and sustainability. The work is of a discussion nature and intends to provide a framework for further research and development in the area. Previous research and development during the 80's and 90's is presented in general terms and in particular the reasons for its limited success in providing real-time feedback on machining operations are highlighted, despite very large financial investments even by today's standards. Ongoing research worldwide in current process optimization and its associated building blocks will be highlighted, and identified important work is... (More)

This publication describes a concept that intends to enable an optimization of machining with regard to the balance between criteria related to technology, economy and sustainability. The work is of a discussion nature and intends to provide a framework for further research and development in the area. Previous research and development during the 80's and 90's is presented in general terms and in particular the reasons for its limited success in providing real-time feedback on machining operations are highlighted, despite very large financial investments even by today's standards. Ongoing research worldwide in current process optimization and its associated building blocks will be highlighted, and identified important work is referenced. Below are new conditions that can be linked to both process knowledge and its modeling, as well as new conditions for developing integrated sensors that can handle the extreme environment in and around a processing operation. A previous limiting factor has been signal processing and signal transmission, which with new knowledge and developed technology in the last 10 years provides new conditions for process optimization in real time.The need for new and up-to-date principles for process optimization, which also integrate sustainability issues and environmental impact, has increased in importance in several respects. Important issues such as tool utilization, efficient use of materials and high time utilization have become relevant as these process results control both energy consumption and environmental impact. The geopolitical development linked to the availability of critical tool materials such as cobalt and tungsten also drives research issues that can generally optimize and streamline production processes.Finally, the publication describes the possibility of realizing a real-time feedback and optimized machining that takes into account technology, economy and sustainability, through interdisciplinary research across several levels of technology readiness (TRL). The results are expected to have positive effects on several production factors before, during and after machining. Developed technologies in machining can also make valuable contributions to the development of other products and production processes.

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Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
digital process integration, feedback, identification blocks, machining, manufacturing economics, modeling, Process optimization, production rate, real-time, signal processing, sustainability
host publication
Proceedings of the 11th Swedish Production Symposium (SPS2024) : Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning - Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning
series title
Advances in Transdisciplinary Engineering
editor
Andersson, Joel ; Joshi, Shrikant ; Malmskold, Lennart and Hanning, Fabian
volume
52
pages
23 pages
publisher
IOS Press
conference name
11th Swedish Production Symposium, SPS2024
conference location
Trollhattan, Sweden
conference dates
2024-04-23 - 2024-04-26
external identifiers
  • scopus:85191343675
ISSN
2352-7528
2352-751X
ISBN
978-1-64368-511-3
978-1-64368-510-6
DOI
10.3233/ATDE240161
language
English
LU publication?
yes
id
132bd1ca-c1f7-4541-9d4a-74839de49acb
date added to LUP
2024-05-07 11:52:22
date last changed
2024-05-07 11:53:12
@inproceedings{132bd1ca-c1f7-4541-9d4a-74839de49acb,
  abstract     = {{<p>This publication describes a concept that intends to enable an optimization of machining with regard to the balance between criteria related to technology, economy and sustainability. The work is of a discussion nature and intends to provide a framework for further research and development in the area. Previous research and development during the 80's and 90's is presented in general terms and in particular the reasons for its limited success in providing real-time feedback on machining operations are highlighted, despite very large financial investments even by today's standards. Ongoing research worldwide in current process optimization and its associated building blocks will be highlighted, and identified important work is referenced. Below are new conditions that can be linked to both process knowledge and its modeling, as well as new conditions for developing integrated sensors that can handle the extreme environment in and around a processing operation. A previous limiting factor has been signal processing and signal transmission, which with new knowledge and developed technology in the last 10 years provides new conditions for process optimization in real time.The need for new and up-to-date principles for process optimization, which also integrate sustainability issues and environmental impact, has increased in importance in several respects. Important issues such as tool utilization, efficient use of materials and high time utilization have become relevant as these process results control both energy consumption and environmental impact. The geopolitical development linked to the availability of critical tool materials such as cobalt and tungsten also drives research issues that can generally optimize and streamline production processes.Finally, the publication describes the possibility of realizing a real-time feedback and optimized machining that takes into account technology, economy and sustainability, through interdisciplinary research across several levels of technology readiness (TRL). The results are expected to have positive effects on several production factors before, during and after machining. Developed technologies in machining can also make valuable contributions to the development of other products and production processes.</p>}},
  author       = {{Ståhl, Jan Eric and Mikkelsen, Anders and Lenrick, Filip and Sandsten, Maria and Alm, Anna Karin and Windmark, Christina}},
  booktitle    = {{Proceedings of the 11th Swedish Production Symposium (SPS2024) : Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning}},
  editor       = {{Andersson, Joel and Joshi, Shrikant and Malmskold, Lennart and Hanning, Fabian}},
  isbn         = {{978-1-64368-511-3}},
  issn         = {{2352-7528}},
  keywords     = {{digital process integration; feedback; identification blocks; machining; manufacturing economics; modeling; Process optimization; production rate; real-time; signal processing; sustainability}},
  language     = {{eng}},
  pages        = {{148--170}},
  publisher    = {{IOS Press}},
  series       = {{Advances in Transdisciplinary Engineering}},
  title        = {{A Concept from Sensor to Sustainability in Machining - An Interdisciplinary Approach over a Wide TRL Range}},
  url          = {{http://dx.doi.org/10.3233/ATDE240161}},
  doi          = {{10.3233/ATDE240161}},
  volume       = {{52}},
  year         = {{2024}},
}