Manufacturing efficient electrical motors with a predictive maintenance approach

Hannes Alois Weiss; Nora Leuning; Kay Hameyer; Hartmut Hoffmann; Wolfram Volk

doi:10.1016/j.cirp.2019.04.044

Manufacturing efficient electrical motors with a predictive maintenance approach

Hannes Alois Weiss, Nora Leuning, Kay Hameyer, Hartmut Hoffmann, Wolfram Volk

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

To convert electric into kinetic energy within an electrical motor emerging magnetic fields have to be amplified by using electrical steels. The efficiency of this energy conversion is determined by the electrical steel's magnetic properties. Due to residual stress having a negative effect on an electrical steel's magnetic behavior, manufacturing processes like stamping that deform the material thereby decrease the electrical motor's efficiency. This paper presents a novel approach to predict stamping-related increased magnetic property deteriorations from in situ measured values. Using the approach can prevent an excessive efficiency decrease from increasing tool wear by just in time maintenance.

Original language	English
Pages (from-to)	253-256
Number of pages	4
Journal	CIRP Annals - Manufacturing Technology
Volume	68
Issue number	1
DOIs	https://doi.org/10.1016/j.cirp.2019.04.044
State	Published - 2019

Keywords

Energy efficiency
Quality control
Stamping

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cirp.2019.04.044

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title = "Manufacturing efficient electrical motors with a predictive maintenance approach",

abstract = "To convert electric into kinetic energy within an electrical motor emerging magnetic fields have to be amplified by using electrical steels. The efficiency of this energy conversion is determined by the electrical steel's magnetic properties. Due to residual stress having a negative effect on an electrical steel's magnetic behavior, manufacturing processes like stamping that deform the material thereby decrease the electrical motor's efficiency. This paper presents a novel approach to predict stamping-related increased magnetic property deteriorations from in situ measured values. Using the approach can prevent an excessive efficiency decrease from increasing tool wear by just in time maintenance.",

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AU - Weiss, Hannes Alois

AU - Leuning, Nora

AU - Hameyer, Kay

AU - Hoffmann, Hartmut

AU - Volk, Wolfram

PY - 2019

Y1 - 2019

N2 - To convert electric into kinetic energy within an electrical motor emerging magnetic fields have to be amplified by using electrical steels. The efficiency of this energy conversion is determined by the electrical steel's magnetic properties. Due to residual stress having a negative effect on an electrical steel's magnetic behavior, manufacturing processes like stamping that deform the material thereby decrease the electrical motor's efficiency. This paper presents a novel approach to predict stamping-related increased magnetic property deteriorations from in situ measured values. Using the approach can prevent an excessive efficiency decrease from increasing tool wear by just in time maintenance.

AB - To convert electric into kinetic energy within an electrical motor emerging magnetic fields have to be amplified by using electrical steels. The efficiency of this energy conversion is determined by the electrical steel's magnetic properties. Due to residual stress having a negative effect on an electrical steel's magnetic behavior, manufacturing processes like stamping that deform the material thereby decrease the electrical motor's efficiency. This paper presents a novel approach to predict stamping-related increased magnetic property deteriorations from in situ measured values. Using the approach can prevent an excessive efficiency decrease from increasing tool wear by just in time maintenance.

KW - Energy efficiency

KW - Quality control

KW - Stamping

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JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

IS - 1

ER -

Manufacturing efficient electrical motors with a predictive maintenance approach

Abstract

Keywords

UN SDGs

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