Soft sensor-based inline geometry control of hole-rolled polygon hubs

New machine concepts, such as the 3D Servo Press, make it possible to implement and study new forming processes like the flexible hole-rolling. In combination with the ongoing development of models, new control concepts can be developed and thus increase productivity of manufacturing systems. As part of this work, a soft sensor was developed to predict the part geometry of a polygon profile during the process of hole rolling based on the process forces and the ram position. This prediction was used in an experimental investigation to set up an inline geometry control to compensate for the geometric error due to roller deflection during the process.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.03.023
Citations
1
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Soft sensor-based inline geometry control of hole-rolled polygon hubs

Peter Groche, Daniel Spies, Viktor Arne
1 citations
IFAC-PapersOnLine
Advanced machining processes and optimization
0.71
article

Soft sensor-based inline geometry control of hole-rolled polygon hubs

Peter Groche, Daniel Spies, Viktor Arne
article en
1 citations

Abstract

New machine concepts, such as the 3D Servo Press, make it possible to implement and study new forming processes like the flexible hole-rolling. In combination with the ongoing development of models, new control concepts can be developed and thus increase productivity of manufacturing systems. As part of this work, a soft sensor was developed to predict the part geometry of a polygon profile during the process of hole rolling based on the process forces and the ram position. This prediction was used in an experimental investigation to set up an inline geometry control to compensate for the geometric error due to roller deflection during the process.

IFAC-PapersOnLineVol. 59(1)
Technische Universität Darmstadt (DE)
Affordable and clean energy
Openalex Percentile: Top 35%
Advanced machining processes and optimization
0.71
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.