Simon Stieber

Simon Stieber
Universität Augsburg | UNA · Institute for Software and Systems Engineering

Master of Science

About

12
Publications
1,835
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19
Citations
Introduction
Focused on industrial applications for machine learning, especially deep learning. Currently working on the optimization of the Resin Transfer Moulding (RTM) process for CFRP production. https://simon-stieber.de

Publications

Publications (12)
Preprint
Full-text available
Carbon fiber reinforced polymers (CFRP) offer highly desirable properties such as weight-specific strength and stiffness. Liquid composite moulding (LCM) processes are prominent , economically efficient, out-of-autoclave manufacturing techniques and, in particular, resin transfer moulding (RTM), allows for a high level of automation. There, fibrous...
Preprint
Full-text available
To ease teaching self-organizing systems design, we implemented the AntNet routing algorithm for real-world application using educational robots called ActivityBot. Using line sensors and ultrasonic distance sensors, the robotic ants traverse a tiled graph printed on paper, collectively converging to the shortest path. In our descriptions, we addre...
Conference Paper
To ease teaching self-organizing systems design, we implemented the AntNet routing algorithm for real-world application using educational robots called ActivityBot. Using line sensors and ultrasonic distance sensors, the robotic ants traverse a tiled graph printed on paper, collectively converging to the shortest path. In our descriptions, we addre...
Preprint
Full-text available
Setting up fiber-threading for a pultrusion line is tedious, error prone and takes a long time. Between 100 and 1000 fibers have to be arranged into a two-dimensional shape, which have to be threaded between several support plates without causing crossovers. When manually planning this process based on intuition, it is hard to keep track of the com...
Chapter
Carbon fiber reinforced polymers (CFRP) are light yet strong composite materials designed to reduce the weight of aerospace or automotive components – contributing to reduced emissions. Resin transfer molding (RTM) is a manufacturing process for CFRP that can be scaled up to industrial-sized production. It is prone to errors such as voids or dry sp...
Preprint
Full-text available
Components made from carbon fiber reinforced plastics (CFRP) offer attractive stability properties for the automotive or aerospace industry despite their light weight. To automate CFRP production, resin transfer molding (RTM) based on thermoset plastics is commonly applied. However, this manufacturing process has its shortcomings in quality and cos...
Preprint
Full-text available
Carbon fiber reinforced polymers (CFRP) are light yet strong composite materials designed to reduce the weight of aerospace or automotive components-contributing to reduced greenhouse gas emissions. Resin transfer molding (RTM) is a manufacturing process for CFRP that can be scaled up to industrial-sized production. It is prone to errors such as vo...
Chapter
Full-text available
The main problem that keeps many areas of research from using Deep Learning methods is the lack of sufficient amounts of data. We propose transfer learning from simulated data as a solution to that issue. In this work we present the industrial use case for which we plan to apply our transfer learning approach to: The production of economic Carbon F...
Preprint
Full-text available
The main problem that keeps many areas of research from using Deep Learning methods is the lack of sufficient amounts of data. We propose transfer learning from simulated data as a solution to that issue. In this work we present the industrial use case for which we plan to apply our transfer learning approach to: The production of economic Carbon F...

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Projects

Project (1)
Project
Learning parameter settings for a CFRP (carbon fiber reinforced polymer) - RTM (Resin Transfer moulding) application from simulations and observations. https://www.uni-augsburg.de/de/fakultaet/fai/isse/projects/cosimo/