Aerodynamic Feeding 4.1: Simulation Based Parameter Selection for a Flexible Part Feeding Prototype

This work develops on the concept for an aerodynamic feeding system with higher flexibility (regarding the workpiece geometry) and drastically reduced retooling times compared to conventional feeding. The proposed design uses multiple, individually controllable air nozzles to re-orient workpieces. However, appropriate nozzle and feeder parameters would need to be selected before a physical prototype can be built. Design of Experiments is used to identify relevant parameters of the feeding process and minimize the number of simulations. Ideally the parameter selection would maintain high flexibility and low retooling times ensuring that aerodynamic part feeding can maintain personalization at minimal costs.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.092
Primary Topic
Mechanical Engineering and Vibrations Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aerodynamic Feeding 4.1: Simulation Based Parameter Selection for a Flexible Part Feeding Prototype

Dasha Shieff, Annika Raatz, Tobias Recker
1 links
Procedia CIRP
Mechanical Engineering and Vibrations Research
article

Aerodynamic Feeding 4.1: Simulation Based Parameter Selection for a Flexible Part Feeding Prototype

Dasha Shieff, Annika Raatz, Tobias Recker
article en

Abstract

This work develops on the concept for an aerodynamic feeding system with higher flexibility (regarding the workpiece geometry) and drastically reduced retooling times compared to conventional feeding. The proposed design uses multiple, individually controllable air nozzles to re-orient workpieces. However, appropriate nozzle and feeder parameters would need to be selected before a physical prototype can be built. Design of Experiments is used to identify relevant parameters of the feeding process and minimize the number of simulations. Ideally the parameter selection would maintain high flexibility and low retooling times ensuring that aerodynamic part feeding can maintain personalization at minimal costs.

Procedia CIRPVol. 136
Leibniz University Hannover (DE)
Openalex Percentile: Top 77%
Mechanical Engineering and Vibrations Research
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.