Svenja Ehmsen

About Svenja Ehmsen

Svenja Ehmsen, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Technische Universität Kaiserslautern, specializes in the field of Additive Manufacturing, Energy Efficiency, Sustainable Manufacturing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Energy supply scheduling in manufacturing systems using Quantum Annealing

Bewertung und Verbesserung des CO2-Fußabdrucks für PKW-Ladeeinrichtungen: Untersuchung von Nachhaltigkeitspotenzialen für die Ladeinfrastruktur der Elektromobilität

A Methodology for Developing a Model for Energy Prediction in Additive Manufacturing Exemplified by High-Speed Laser Directed Energy Deposition

Reusable unit process life cycle inventory for manufacturing: high speed laser directed energy deposition

A specific manufacturing cost model for fast cost estimation in additive manufacturing

Evaluating the environmental impact of high-speed laser directed energy deposition: A life cycle assessment

Influence of process parameters on the power consumption of high-speed laser directed energy deposition

Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin

Svenja Ehmsen Information

University

Position

Lehrstuhl für Fertigungstechnik und Betriebsorganisation

Citations(all)

81

Citations(since 2020)

81

Cited By

0

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Svenja Ehmsen Skills & Research Interests

Additive Manufacturing

Energy Efficiency

Sustainable Manufacturing

Top articles of Svenja Ehmsen

Energy supply scheduling in manufacturing systems using Quantum Annealing

Manufacturing Letters

2023/11/1

Svenja Ehmsen
Svenja Ehmsen

H-Index: 0

Moritz Glatt
Moritz Glatt

H-Index: 5

Bewertung und Verbesserung des CO2-Fußabdrucks für PKW-Ladeeinrichtungen: Untersuchung von Nachhaltigkeitspotenzialen für die Ladeinfrastruktur der Elektromobilität

Zeitschrift für wirtschaftlichen Fabrikbetrieb

2023/9/30

Svenja Ehmsen
Svenja Ehmsen

H-Index: 0

Moritz Glatt
Moritz Glatt

H-Index: 5

A Methodology for Developing a Model for Energy Prediction in Additive Manufacturing Exemplified by High-Speed Laser Directed Energy Deposition

2023/6/19

Reusable unit process life cycle inventory for manufacturing: high speed laser directed energy deposition

Production Engineering

2019/12

A specific manufacturing cost model for fast cost estimation in additive manufacturing

Procedia CIRP

2023/1/1

Evaluating the environmental impact of high-speed laser directed energy deposition: A life cycle assessment

Procedia CIRP

2023/1/1

Influence of process parameters on the power consumption of high-speed laser directed energy deposition

Procedia CIRP

2023/1/1

Svenja Ehmsen
Svenja Ehmsen

H-Index: 0

Moritz Glatt
Moritz Glatt

H-Index: 5

Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin

Additive Manufacturing

2021/12/1

Anpassung von Produktionssystemen an die Auswirkungen des Klimawandels: Ein Konzept zur Bestimmung und Bewertung von Klimawandelfolgen und entsprechenden Anpassungsmaßnahmen

Zeitschrift für wirtschaftlichen Fabrikbetrieb

2021/5/31

Svenja Ehmsen
Svenja Ehmsen

H-Index: 0

Modeling and software implementation of manufacturing costs in additive manufacturing

CIRP Journal of Manufacturing Science and Technology

2021/5/1

Exploration of the potential of polymer 4D printing: Experiments on the printing quality and the impact of temperature and geometry on the shape-changing effect

Procedia CIRP

2021/1/1

Edge-based Digital Twin to trace and ensure sustainability in cross-company production networks

Procedia CIRP

2021/1/1

Process Chain Analysis of Directed Energy Deposition: Energy flows and their influencing factors

Procedia CIRP

2021/1/1

Svenja Ehmsen
Svenja Ehmsen

H-Index: 0

Li Yi
Li Yi

H-Index: 1

A case study on the part optimization using eco-design for additive manufacturing based on energy performance assessment

Procedia CIRP

2021/1/1

Evaluating the Cumulative Energy Demand of Additive Manufacturing Using Direct Energy Deposition

2021

Deep Learning zur Prozessüberwachung in der additiven Fertigung: Ein Konzept zur Vorhersage der Materialporosität von additiv gefertigten Bauteilen durch Deep Learning

Zeitschrift für wirtschaftlichen Fabrikbetrieb

2020/11/1

A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments

Procedia CIRP

2020/1/1

Li Yi
Li Yi

H-Index: 1

Svenja Ehmsen
Svenja Ehmsen

H-Index: 0

See List of Professors in Svenja Ehmsen University(Technische Universität Kaiserslautern)