Numerical and experimental evaluation of chip evacuation and lubricant flow using optimized drill heads for ejector deep hole drilling

Abstract Ejector deep hole drilling offers great potential to utilize the typical advantages of deep hole drilling processes on conventional machining centers in a cost-effective and resource-efficient manner. However, maintaining reliable chip evacuation and stable process conditions often relies on high flow volumes of metalworking fluid, resulting in considerable energy consumption in industrial settings. Therefore, to analyze the highly sophisticated chip evacuation dynamics of the process, two flow-optimized drill heads and a reference drill head were evaluated with smoothed particle hydrodynamics simulation using experimentally obtained chip shapes. In addition, modified drill heads were additively manufactured and experimentally investigated to validate the numerical results and to determine the positive effect on the necessary fluid flow for a stable ejector drilling process. The modifications aim to improve chip evacuation by reducing vortex formation and optimizing flow conditions near the cutting zone. Therefore, the minimum volume flow required for a stable drilling process without chip clogging is reduced, leading to an energy-efficient sustainable ejector drilling process.

Authors

Institutions

Publication Details

Journal
Production Engineering
Published
2026-02-23
DOI
https://doi.org/10.1007/s11740-025-01406-2
Citations
1
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
22.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical and experimental evaluation of chip evacuation and lubricant flow using optimized drill heads for ejector deep hole drilling

Julian Frederic Gerken, Andreas Baumann, Sebastian Michel, Nuwan Rupasinghe et al.
1 citations
Production Engineering
Drilling and Well Engineering
22.49
article

Numerical and experimental evaluation of chip evacuation and lubricant flow using optimized drill heads for ejector deep hole drilling

Julian Frederic Gerken, Andreas Baumann, Sebastian Michel, Nuwan Rupasinghe, Samuel Gülde, Peter Eberhard, Dirk Biermann
article en
1 citations

Abstract

Abstract Ejector deep hole drilling offers great potential to utilize the typical advantages of deep hole drilling processes on conventional machining centers in a cost-effective and resource-efficient manner. However, maintaining reliable chip evacuation and stable process conditions often relies on high flow volumes of metalworking fluid, resulting in considerable energy consumption in industrial settings. Therefore, to analyze the highly sophisticated chip evacuation dynamics of the process, two flow-optimized drill heads and a reference drill head were evaluated with smoothed particle hydrodynamics simulation using experimentally obtained chip shapes. In addition, modified drill heads were additively manufactured and experimentally investigated to validate the numerical results and to determine the positive effect on the necessary fluid flow for a stable ejector drilling process. The modifications aim to improve chip evacuation by reducing vortex formation and optimizing flow conditions near the cutting zone. Therefore, the minimum volume flow required for a stable drilling process without chip clogging is reduced, leading to an energy-efficient sustainable ejector drilling process.

Production EngineeringVol. 20(2)
University of Stuttgart (DE), TU Dortmund University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 1%
Drilling and Well Engineering
22.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.