Optimization control method for carbon footprint of machining process

Optimization control method for carbon footprint of machining process Energy conservation has become one of the key elements of core competitiveness for manufacturing enterprise. On the basis of studying the characteristics of carbon emissions in machining process, the state space model of carbon footprint for machining process is constructed, and carbon footprint transfer matrix is derived. It reveals the mechanism of generation, transmission, and coupling for carbon footprint in machining process. Considering the machining precision constraints and time constraints, the paper researched on optimization control method for carbon footprint of machining process based on dynamic programming to minimize the carbon emissions. Finally, this method is applied in a fracture splitting workshop, and the result shows this method can reduce 10.28% of carbon emissions in machining process. This paper provides theoretical and technical support for energy saving in machining process. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Optimization control method for carbon footprint of machining process

Loading next page...
 
/lp/springer_journal/optimization-control-method-for-carbon-footprint-of-machining-process-S0VjZrkdlM
Publisher
Springer London
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-0241-1
Publisher site
See Article on Publisher Site

Abstract

Energy conservation has become one of the key elements of core competitiveness for manufacturing enterprise. On the basis of studying the characteristics of carbon emissions in machining process, the state space model of carbon footprint for machining process is constructed, and carbon footprint transfer matrix is derived. It reveals the mechanism of generation, transmission, and coupling for carbon footprint in machining process. Considering the machining precision constraints and time constraints, the paper researched on optimization control method for carbon footprint of machining process based on dynamic programming to minimize the carbon emissions. Finally, this method is applied in a fracture splitting workshop, and the result shows this method can reduce 10.28% of carbon emissions in machining process. This paper provides theoretical and technical support for energy saving in machining process.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Mar 15, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off