Cyber Physical Systems for Life Cycle Continuous Technical Documentation of Manufacturing Facilities

AbstractContinuous rising of requirements to create technical documentation results in high effort in terms of time and costs to create a complete and up to date documentation for manufacturers. In case of any technical modifications of machines the technical documentation also has to be updated. In fact these updates are lacking in most cases.In this paper, the authors propose a methodology for a self-organized creation of technical documentation to enable an up to date state throughout the Product Life Cycle. A complete and up to date technical documentation provides benefits to customers as well as suppliers of manufacturing facilities. The new approach is based on integration and communication of all components and modules such as machine tool, transportation and handling technology etc. via “Cyber Physical Systems”

On the Integration of Skilled Robot Motions for Productivity in Manufacturing

Robots used in manufacturing today are tailored to their tasks by system integration based on expert knowledge concerning both production and machine control. For upcoming new generations of even more flexible robot solutions, in applications such as dexterous assembly, the robot setup and programming gets even more challenging. Reuse of solutions in terms of parameters, controls, process tuning, and of software modules in general then gets increasingly important. There has been valuable progress within reuse of automation solutions when machines comply with standards and behave according to nominal models. However, more flexible robots with sensor-based manipulation skills and congnitive functions for human inteaction are far too complex to manage, and solutions are rarely reusable since knowledge is either implicit in imperative software or not captured in machine readable form. We propose techniques that build on existing knowledge by converting structured data into an RDF-based knowledge base. By enhancements of industrial control systems and available engineering tools, such knowledge can be gradually extended as part of the interaction during the definition of the robot task

DB4ISF: An incremental sheet forming database

<h2>DB4ISF</h2><p>DB4ISF is an incremental sheet forming database consisting of 76 forming experiments executed by the Chair of Production Systems at Ruhr-Universität Bochum.</p><p>The databse consists of the following data:<br>• General process data (tool radii, sheet thickness, step depth, ...)<br>• CAD files (stl, sldprt including CAMWorks toolpaths)<br>• Toolpaths (surface points and normal vectors)<br>• Robot programs used for forming (KRL)<br>• Digitization (CDB)<br>• Deviation of every toolpath point in normal direction<br>• Precalculated surface representations for machine learning</p><h2>ML4ISF</h2><p>ML4ISF is a Matlab Framework with a GUI for the application of machine learning in incremental sheet forming and fully compatible with the database. </p><p>The framework offers the following features:<br>• Data management<br>• Toolpath import with various presets<br>• Calculation of surface representations utilized for machine learning<br>• Generation of training data tables for machine learning in python<br>• Prediction of the forming accuracy with several provided artificial networks<br>• Toolpath adjustments based on the prediction and smoothing of the path<br>• Generation of Kuka robot programs (other exporters could be implemented)<br>• Various plotting functions</p><p>Prerequisites:<br>• Surface toolpath with the corresponding normal vectors<br>• STL file of the part</p><p>The framework was developed for the application of double sided incremental forming (DSIF) utilizing two industrial robots where the supporting robot applies a defined support force. Other methods such as SPIF with NC-machines can be implemented with slight modifications.</p><p>ML4ISF can be downloaded here: <a href="https://doi.org/10.5281/zenodo.10036335">https://doi.org/10.5281/zenodo.10036335</a>.</p><h2>Contact</h2><p>If you have any questions about the database, please contact:<br>Dennis Möllensiep<br><a href="https://zenodo.org/moelldnl/ml4isf/-/blob/master/[email protected]">[email protected]</a></p><h2>License and Reference</h2><p>This databse is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit <a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>.</p><p>A publication which explains the approach in detail will be added once it is published.</p&gt