@article{3783, author = {{Riegel, Adrian and Kortüm, Christian and Hinrichsen, Sven}}, issn = {{0018-3822}}, journal = {{HOB, Holzbearbeitung}}, number = {{4}}, pages = {{29 -- 33}}, title = {{{Industrie 4.0 - Potenziale in der Holz- und Möbelindustrie (Teil 1)}}}, volume = {{61}}, year = {{2014}}, } @article{3784, author = {{Riegel, Adrian and Kortüm, Christian and Hartweg, Elmar}}, issn = {{0018-3822}}, journal = {{HOB, Holzbearbeitung}}, number = {{5}}, pages = {{77 -- 80}}, title = {{{Industrie 4.0 - Integration in verkettete Prozessketten der Holz- und Möbelindustrie (Teil 2)}}}, volume = {{61}}, year = {{2014}}, } @inproceedings{3794, author = {{Kortüm, Christian and Riegel, Adrian}}, booktitle = {{Production Engineering and Management. Proceedings 4th International Conference. 25.- 26.09.2014 in Lemgo}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-10-3}}, location = {{Lemgo}}, number = {{12}}, pages = {{7 -- 18}}, title = {{{INDUSTRY 4.0 - CHALLENGES FOR INTERLINKED PROCESS GMAINS}}}, volume = {{10}}, year = {{2014}}, } @inproceedings{3806, abstract = {{The networking of production processes by means of information technologies (IT) has become a major field of development within industry and research. The main target is to interlink autonomous production systems to an intelligent production line, where products itself organise and control their manufacturing. This new attempt in production is -actual in Germany described under the definition "Industry 4.0", the fourth industrial revolution. Basically, the essential hardware and software to meet this objectives has been developed in other branches and is able to upgrade machines and handling systems to cyber-physical systems. The crucial issue to design an autonomous, intelligent production line is to generate the exact process data for each production step, to verify this data and to transfer it into the individual machine control. The characteristics of this main problem increases with the degree of interactions between the processes in the production line. In the woodworking industry, the process chain of profiling has a high degree of interactions. The individual production steps are strictly based on another and the result of a process effects the subsequent one respectively. To network these processes and add IT, an integrated IT system with individual CAD/CAM system for each process type is needed. The estimation of the interactions is done by the simulation of the whole process chain in a virtual reality before the real production. This enables to verify the process data, and to benefit from simultaneous engineering. Besides the essential algorithms to calculate the process data for the different process types and estimate the geometry corruptions due to systematic errors and manufacturing tolerances, the consideration of the material behaviour during the production is the determining factor to get valid data for the process chain. The shrinking and swelling of wood and woodbased materials due to a change of moisture content causes a geometry corruption and requires algorithms to simulate this behaviour in the virtual real ity. The result of these algorithms for the processes and the material behaviour are the exact process data for a specific profile. The database for the calculations and the data storage is a developed product data model. This product data model forms the gateway for the simulation in the virtual reality to the machine controls.}}, author = {{Böhm, Fabian and Burlon, Fabio and Kortüm, Christian and Riegel, Adrian}}, booktitle = {{Production engineering and management proceedings 3rd international conference 26th and 27th September 2013 Trieste, Italy}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-09-7}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{39 -- 53}}, publisher = {{Hochschule Ostwestfalen-Lippe, Fachbereich Produktion und Wirtschaft}}, title = {{{PROCESS CHAIN SIMULATION : VIRTUAL REALITY TO MACHINE-VR2M}}}, volume = {{9}}, year = {{2014}}, } @inproceedings{3816, abstract = {{Connected process chains are standard for the production of many different products -also in woodworking industry. The process chain of profiling for the production of profiled strips, beams etc. includes several different processes as moulding, sanding and coating. The information technologies (IT) for this process chain are not well developed and established. To integrate IT and CAD-CAM-systems into the process chain of profiling firstly a product data model is needed, which is able to-store all relevant data for the production of the profile and to link the processes with consistent data. To link the processes it is important that a subsequent process in the chain is able to obtain all data about the process results of the previous processes to adapt to the profile geometry in this production stage. Therefore the CAM-modules, which also need to be developed individually for .each process type, must consi?er the corruption of the pr~file geometry and estimate the process result w1th the output geometry as 1nput data for the next process step. Due to the material behaviour of wood and wood based materials concerning the shrinking and swelling it is also necessary to calculate the geometry corruptions in case of a change in moisture content of the profile. The product data model together with CAM-modules and a tool to calculate the material behaviour generate all potentials of a modern IT system like the generating of all processing data, process simulations and simultaneous engineering.}}, author = {{Kortüm, Christian and Riegel, Adrian}}, booktitle = {{Production engineering and management for furniture industry : proceedings 2nd international conference 27th and 28th September 2012 Lemgo, Germany}}, editor = {{Riegel, Adrian and Nicolich, Marino}}, isbn = {{978-3-941645-08-0}}, location = {{Lemgo}}, number = {{1}}, pages = {{67 -- 79}}, publisher = {{Hochschule Ostwestfalen-Lippe, Fachbereich Produktion und Wirtschaft}}, title = {{{IT IN PROFILING - LINKED FEATURES FOR EVERY PROCESS STEP}}}, volume = {{8}}, year = {{2013}}, } @inproceedings{3824, abstract = {{The process chain for the production of profiled strips, beams and panels includes a number of processes as mould design, fixing the number of cutting passes, tool grinding, tool measurement, moulding, sanding, profile-wrapping, coating and different types of quality assessment. This chain is still not consistently connected by means of information technologies. The design and the setup for each process in the chain are mostly done manually, using the experience of the operator. Computer aided systems (CAD/CAM) as widely used in the furniture industry are not in this field. The procedures are more complex and could not be automatized by the state of the art feature based algorithms. One attempt to solve the problem is the creation of a product data model that contains all information for the whole production process - not only geometrical data and tolerances but also semantic information (e.g. material, coating, batch size, etc.). Every process in the chain is now transforming the profile in a systematic and stochastic way. Both can be computed by the use of rules of artificial intelligence and tolerance calculations by means of statistical methods. Special CAM modules, which generate the specific process data, give also back the transformed profile and other necessary information to the superordinate product data model. The actual specific process data, for example for the process of profiling (e.g. setting parameters, pitch) can then be computed by a post processer using actual inputs as the geometry of the specified machine. The whole process chain can so be simulated before the real setup. The tools and processes can so be designed simultaneously in advance. The time for the production process can be reduced. This systematic is generating the same potentials as feature based CAD/CAM systems in the carcase furniture industry. The implementation of IT in the profiling process chain is accelerated and coordinated by the introduction of the linking product model.}}, author = {{Riegel, Adrian and Kortüm, Christian}}, booktitle = {{Proceedings of the 20th International Wood Machining Seminar}}, isbn = {{978-91-7439-264-7}}, pages = {{520 -- 527}}, publisher = {{Luleå Univ. of Technology}}, title = {{{A product data model and computer aided manufacturing for the process chain of profiling}}}, year = {{2013}}, } @article{3814, author = {{Riegel, Adrian and Kortüm, Christian and Bursch, Dennis}}, issn = {{0018-3792}}, journal = {{Holz-Zentralblatt}}, number = {{17}}, pages = {{449 -- 450}}, publisher = {{Holz-Zentralblatt-Verl.}}, title = {{{Ähnlichkeitssuche in der Profilleistenherstellung : Hochschule OWL: Optimierung der Arbeitsabläufe und der Datenverwaltung mittels ähnlichkeitssuche möglich.}}}, volume = {{138}}, year = {{2012}}, } @article{3822, author = {{Riegel, Adrian and Kortüm, Christian and Dekomien, Kerstin}}, issn = {{0018-3881}}, journal = {{Holztechnologie}}, number = {{2}}, pages = {{38 -- 43}}, publisher = {{Institut für Holztechnologie}}, title = {{{Qualitätskriterien und Bewertungsmethoden für Hochglanzoberflächen}}}, year = {{2011}}, } @article{3840, author = {{Riegel, Adrian and Kortüm, Christian}}, issn = {{0018-3822}}, journal = {{Die Holzbearbeitung}}, number = {{7/8}}, pages = {{49 -- 51}}, publisher = {{A.G.T.-Verlag}}, title = {{{Ein Gefühl für Oberflächen. Sensorische Prüfverfahren zur Gütebestimmung von Holzoberflächen (Teil 1)}}}, volume = {{56}}, year = {{2009}}, } @article{3843, author = {{Riegel, Adrian and Kortüm, Christian}}, issn = {{0018-3822}}, journal = {{Die Holzbearbeitung}}, number = {{9}}, pages = {{73 -- 75}}, publisher = {{A.G.T.-Verlag}}, title = {{{Ein Gefühl für Oberflächen. Sensorische Prüfverfahren zur Gütebestimmung von Holzoberflächen (Teil 2)}}}, volume = {{56}}, year = {{2009}}, } @inbook{3853, abstract = {{Beim Schleifen von Holz und Holzwerkstoffen mit konstantem Druck (Holz-und lackzwischenschliff) ergibt sich das Spanungsvolumen aus der Kombination der Eingangsgrößen und kann nicht direkt eingestellt werden. Das Prozessergebnis selbst (Oberflächengüte) kann nur extrem aufwendig und kaum vollständig durch skalierte Messgrößen und auch nur unzureichend durch online arbeitende Sensortechnik erfasst werden. Prozessmcdelle. mit denen die Zusammenhänge beim Schleifen prinzipiell erklärt werden können. wurden in der Vergangenheit entwickelt und könnten für eine Prozessoptimierung bzw. -regelung herangezogen werden. Eine direkte Regelung der Qualitätsmerkmale scheite.rt aber derzeit an der nicht verfügbaren Sensortechnik. Durch methodische sensorische Prüfverfahren. bei denen aus visuellen und haptischen Eindrücken mehrer Prüfer durch statistische Tests eine objektive Aussage erzeugt wird. können aussagekräftige Kenngrößen für die eigentriche ZieJgröße erzielt werden. Diese sind nur offline verfügbar. können aber mit indirekten, online verfügbaren Prozesskenngrößen korreliert werden. Ein Reglerentwurf ist daher auf Basis quantitativer Zusammenhänge möglich. Das schwankende Verschleissverhalten der Schleifbänder zwingt aber vermutlich zu adaptiven Regelungen auf Basis unscharfer Logik. Eine autonom agierende ••intelligente" Schleifmaschine scheint möglich.}}, author = {{Riegel, Adrian and Hellmann, Torben and Kortüm, Christian}}, booktitle = {{2. Internationale Konferenz zur Automation in der Holzwirtschaft : 18. und 19. September 2008}}, isbn = {{ 9783952319857}}, pages = {{83 -- 92}}, publisher = {{Berner Fachhochschule, Architektur, Holz und Bau}}, title = {{{Reproduzierbare Gütebestimmung von Holzoberflächen als Basis für eine Prozessregelung beim Schleifen}}}, year = {{2008}}, }