Energy efficient process chains for the production of powertrains

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • Berend Denkena
  • Marc André Dittrich
  • Maik Bergmeier
  • Miriam Handrup
  • Kolja Meyer
  • Laura Onken
  • Christopher Schmidt
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Details

Original languageEnglish
Pages (from-to)48-55
Number of pages8
JournalProcedia Manufacturing
Volume43
Publication statusPublished - 30 Apr 2020
Event17th Global Conference on Sustainable Manufacturing 2019 - Shanghai, China
Duration: 9 Oct 201911 Oct 2019

Abstract

Mobility is one of the major drivers of greenhouse gas emissions (GHG). The project Powertrain 2025 addresses this issue through the optimization of selected powertrain components in terms of friction, weight and service life to achieve savings in GHG during use. Energy efficient process chains and improved tool concepts enable this optimization. As a result, significant increases in energy efficiency can be achieved both in production and in usage of the powertrain components. A holistic, environmental evaluation, which visualizes optimization potentials and enables energy and resource efficient production control, completes this work.

Keywords

    deep rolling, environmental evaluation, microstructuring, process chain control, tool concept

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Energy efficient process chains for the production of powertrains. / Denkena, Berend; Dittrich, Marc André; Bergmeier, Maik et al.
In: Procedia Manufacturing, Vol. 43, 30.04.2020, p. 48-55.

Research output: Contribution to journalConference articleResearchpeer review

Denkena, B, Dittrich, MA, Bergmeier, M, Handrup, M, Meyer, K, Onken, L & Schmidt, C 2020, 'Energy efficient process chains for the production of powertrains', Procedia Manufacturing, vol. 43, pp. 48-55. https://doi.org/10.1016/j.promfg.2020.02.106
Denkena, B., Dittrich, M. A., Bergmeier, M., Handrup, M., Meyer, K., Onken, L., & Schmidt, C. (2020). Energy efficient process chains for the production of powertrains. Procedia Manufacturing, 43, 48-55. https://doi.org/10.1016/j.promfg.2020.02.106
Denkena B, Dittrich MA, Bergmeier M, Handrup M, Meyer K, Onken L et al. Energy efficient process chains for the production of powertrains. Procedia Manufacturing. 2020 Apr 30;43:48-55. doi: 10.1016/j.promfg.2020.02.106
Denkena, Berend ; Dittrich, Marc André ; Bergmeier, Maik et al. / Energy efficient process chains for the production of powertrains. In: Procedia Manufacturing. 2020 ; Vol. 43. pp. 48-55.
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abstract = "Mobility is one of the major drivers of greenhouse gas emissions (GHG). The project Powertrain 2025 addresses this issue through the optimization of selected powertrain components in terms of friction, weight and service life to achieve savings in GHG during use. Energy efficient process chains and improved tool concepts enable this optimization. As a result, significant increases in energy efficiency can be achieved both in production and in usage of the powertrain components. A holistic, environmental evaluation, which visualizes optimization potentials and enables energy and resource efficient production control, completes this work.",
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Download

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T1 - Energy efficient process chains for the production of powertrains

AU - Denkena, Berend

AU - Dittrich, Marc André

AU - Bergmeier, Maik

AU - Handrup, Miriam

AU - Meyer, Kolja

AU - Onken, Laura

AU - Schmidt, Christopher

N1 - Funding information: Federal Ministry of Economic Affairs and Energy (BMWi) for funding this project.

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AB - Mobility is one of the major drivers of greenhouse gas emissions (GHG). The project Powertrain 2025 addresses this issue through the optimization of selected powertrain components in terms of friction, weight and service life to achieve savings in GHG during use. Energy efficient process chains and improved tool concepts enable this optimization. As a result, significant increases in energy efficiency can be achieved both in production and in usage of the powertrain components. A holistic, environmental evaluation, which visualizes optimization potentials and enables energy and resource efficient production control, completes this work.

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KW - environmental evaluation

KW - microstructuring

KW - process chain control

KW - tool concept

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