Material-integrated thin-film sensors to measure strain in grinding processes

The doctoral thesis presents a material-integrated thin-film sensor system designed to enable real-time, in situ monitoring of process data during manufacturing processes. Resistive sensors with a meander design were manufactured on steel substrates using a conventional microfabrication process. The resulting "sensor inlay" consist of rectangular steel pieces that are obtained from the fabricated substrates and contain the sensor layer imprinted in them. The sensor inlays were then glued into a groove that is pre-machined on top of a standard workpiece using epoxy adhesive. The workpiece and the sensor inlay are made of the same steel. This creates the so-called ‘sensor-integrated’ workpiece. The ‘sensor-integrated’ workpiece was then used for measuring in-situ strain in the workpiece material in outer-diameter cylindrical grinding and flat surface grinding. At each grinding cycle, one measurement was recorded continuing until the sensor layer was eventually damaged. This recorded data provided insights into strain dynamics on the workpiece material throughout the grinding process. The broader significance of this research lies in its potential applications beyond grinding, as it enables real-time monitoring of internal parameters in various machining processes. Such technology offers significant potential for improving process control, precision, and quality in other manufacturing processes and is not limited to grinding alone. Moreover, it could drive innovations in both thin-film technology and sensor integration in materials beyond traditional silicon technology.

Publication Details

Journal
Media (https://www.suub.uni-bremen.de/)
Published
2025-05-26
DOI
https://doi.org/10.26092/elib/4326
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Material-integrated thin-film sensors to measure strain in grinding processes

Media (https://www.suub.uni-bremen.de/)
Advanced machining processes and optimization
article

Material-integrated thin-film sensors to measure strain in grinding processes

article en

Abstract

The doctoral thesis presents a material-integrated thin-film sensor system designed to enable real-time, in situ monitoring of process data during manufacturing processes. Resistive sensors with a meander design were manufactured on steel substrates using a conventional microfabrication process. The resulting "sensor inlay" consist of rectangular steel pieces that are obtained from the fabricated substrates and contain the sensor layer imprinted in them. The sensor inlays were then glued into a groove that is pre-machined on top of a standard workpiece using epoxy adhesive. The workpiece and the sensor inlay are made of the same steel. This creates the so-called ‘sensor-integrated’ workpiece. The ‘sensor-integrated’ workpiece was then used for measuring in-situ strain in the workpiece material in outer-diameter cylindrical grinding and flat surface grinding. At each grinding cycle, one measurement was recorded continuing until the sensor layer was eventually damaged. This recorded data provided insights into strain dynamics on the workpiece material throughout the grinding process. The broader significance of this research lies in its potential applications beyond grinding, as it enables real-time monitoring of internal parameters in various machining processes. Such technology offers significant potential for improving process control, precision, and quality in other manufacturing processes and is not limited to grinding alone. Moreover, it could drive innovations in both thin-film technology and sensor integration in materials beyond traditional silicon technology.

Media (https://www.suub.uni-bremen.de/)
Openalex Percentile: Top 55%
Advanced machining processes and optimization
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.