TY - THES A1 - Nordmann, Alexander T1 - Prozessüberwachung beim Werkzeugschleifen von WC-Co Hartmetallschaftfräsern Y1 - 2022 PB - FH Aachen CY - Aachen ER - TY - JOUR A1 - Pfaff, Raphael A1 - Babilon, Katharina T1 - Railway Challenge - moderne Auflage der Rainhill Trials? JF - ETR - Eisenbahntechnische Rundschau N2 - Die IMechE Railway Challenge wird jährlich in Stapleford, Großbritannien ausgetragen. Im Rahmen der Challenge entwickeln und bauen Studierende eine Lokomotive und vergleichen sich in verschiedenen Disziplinen, darunter eine automatisierte Zielbremsung, optimale Energierückgewinnung beim Bremsen und minimale Geräuschemissionen. Neben diesen und weiteren technischen Wettbewerbsdisziplinen treten die Fahrzeuge und die Teams auch in nicht-technischen Disziplinen wie einer Business Case Challenge an. Y1 - 2023 SN - 0013-2845 N1 - Homepageveröffentlichung unbefristet genehmigt für Fachhochschule Aachen / Rechte für einzelne Downloads und Ausdrucke für Besucher der Seiten genehmigt / © DVV Media Group GmbH VL - 2023 IS - 4 SP - 55 EP - 58 PB - DVV Media Group CY - Hamburg ER - TY - JOUR A1 - Pfaff, Raphael A1 - Gidaszewski, Lars A1 - Schmidt, Bernd T1 - Berücksichtigung von No Fault Found im Diagnose- und Instandhaltungssystem von Schienenfahrzeugen JF - ETR - Eisenbahntechnische Rundschau N2 - Intermittierende und nicht reproduzierbare Fehler, auch als No Fault Found bezeichnet, treten in praktisch allen Bereichen auf und sorgen für hohe Kosten. Diese sind häufig auf unpräzise Fehlerbeschreibungen zurückzuführen. Im vorliegenden Beitrag werden Anpassungen der Vorgehensweise bei der Entwicklung und Anpassungen des Diagnosesystems vorgeschlagen. Y1 - 2020 SN - 0013-2845 IS - 5 SP - 56 EP - 59 PB - DVV Media Group CY - Hamburg ER - TY - CHAP A1 - Pfaff, Raphael A1 - Burnham, Keith J. T1 - On abstraction and interpretability: a behavioural perspective T2 - 19th International Conference on Systems Engineering 2008 : ICSENG '08 : 19 - 21 Aug. 2008, University of Nevada, Las Vegas, Nevada Y1 - 2008 SN - 978-0-7695-3331-5 ; 978-0-7695-2719-2 SP - 89 EP - 94 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Moshiri-Kahak, Amir A1 - Pfaff, Raphael A1 - Gäbel, Markus A1 - Reich, Alexander T1 - Modellierung der Adhäsionsfläche im Rad-Schiene-Kontakt unter Einsatz von reibwertverbessernden Mitteln T2 - 15. Internationale Schienenfahrzeugtagung Rad Schiene 2017, Dresden, März 2017 Y1 - 2017 N1 - Internationale Schienenfahrzeugtagung <15., 2017, Dresden> ER - TY - CHAP A1 - Pfaff, Raphael A1 - Sappler, Magnus T1 - TRANSPACT : die automatische Mittelpufferkupplung für attraktiven Güterverkehr T2 - RAIL-FREIGHT 2014 : Zukunft des Schienengüterverkehrs ; Technologie - Ökonomie - Ökologie - Verkehrspolitik ; [Tagungsdokumentation des IV. Internationalen Fachsymposiums zum Thema Schienengüterverkehr] (Bahntechnik Aktuell ; 48) Y1 - 2014 SN - 978-3-940727-41-1 SP - 121 EP - 128 PB - Verl. d. IFV Bahntechnik CY - Berlin ER - TY - JOUR A1 - Wollert, Jörg A1 - Fiedler, Jörg A1 - Stockmann, T. T1 - Automatisieren mit dem PC : was der Personal Computer kann und wo er passen muss JF - Elektronik : Fachmedium für industrielle Anwender und Entwickler Y1 - 1994 SN - 0013-5658 IS - Nr. 6 SP - 76 EP - 82 ER - TY - JOUR A1 - Bernau, C. R. A1 - Knödler, Matthias A1 - Emonts, Jessica A1 - Jäpel, Ronald Colin A1 - Buyel, Johannes Felix T1 - The use of predictive models to develop chromatography-based purification processes JF - Frontiers in Bioengineering and Biotechnology N2 - Chromatography is the workhorse of biopharmaceutical downstream processing because it can selectively enrich a target product while removing impurities from complex feed streams. This is achieved by exploiting differences in molecular properties, such as size, charge and hydrophobicity (alone or in different combinations). Accordingly, many parameters must be tested during process development in order to maximize product purity and recovery, including resin and ligand types, conductivity, pH, gradient profiles, and the sequence of separation operations. The number of possible experimental conditions quickly becomes unmanageable. Although the range of suitable conditions can be narrowed based on experience, the time and cost of the work remain high even when using high-throughput laboratory automation. In contrast, chromatography modeling using inexpensive, parallelized computer hardware can provide expert knowledge, predicting conditions that achieve high purity and efficient recovery. The prediction of suitable conditions in silico reduces the number of empirical tests required and provides in-depth process understanding, which is recommended by regulatory authorities. In this article, we discuss the benefits and specific challenges of chromatography modeling. We describe the experimental characterization of chromatography devices and settings prior to modeling, such as the determination of column porosity. We also consider the challenges that must be overcome when models are set up and calibrated, including the cross-validation and verification of data-driven and hybrid (combined data-driven and mechanistic) models. This review will therefore support researchers intending to establish a chromatography modeling workflow in their laboratory. KW - biopharmaceutical production process KW - Data-driven models KW - downstream processing design KW - experiment quality KW - hybrid model validation Y1 - 2022 U6 - https://doi.org/10.3389/fbioe.2022.1009102 SN - 2296-4185 (online-ressource) IS - 10 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Emonts, Jessica A1 - Buyel, Johannes Felix T1 - An overview of descriptors to capture protein properties – Tools and perspectives in the context of QSAR modeling JF - Computational and Structural Biotechnology Journal N2 - Proteins are important ingredients in food and feed, they are the active components of many pharmaceutical products, and they are necessary, in the form of enzymes, for the success of many technical processes. However, production can be challenging, especially when using heterologous host cells such as bacteria to express and assemble recombinant mammalian proteins. The manufacturability of proteins can be hindered by low solubility, a tendency to aggregate, or inefficient purification. Tools such as in silico protein engineering and models that predict separation criteria can overcome these issues but usually require the complex shape and surface properties of proteins to be represented by a small number of quantitative numeric values known as descriptors, as similarly used to capture the features of small molecules. Here, we review the current status of protein descriptors, especially for application in quantitative structure activity relationship (QSAR) models. First, we describe the complexity of proteins and the properties that descriptors must accommodate. Then we introduce descriptors of shape and surface properties that quantify the global and local features of proteins. Finally, we highlight the current limitations of protein descriptors and propose strategies for the derivation of novel protein descriptors that are more informative. KW - Prediction of molecular features KW - Protein structure complexity KW - Quantitative structure activity relationship KW - Scalar parameters KW - Shape and surface properties Y1 - 2023 U6 - https://doi.org/10.1016/j.csbj.2023.05.022 SN - 2001-0370 (online-ressource) IS - 21 SP - 3234 EP - 3247 PB - Research Network of Computational and Structural Biotechnology CY - Gotenburg ER - TY - THES A1 - Emonts, Jessica T1 - Searching for many defective edges in hypergraphs Y1 - 2013 N1 - Ist auch als Online-Ausgabe erschienen: Emonts, Jessica: Searching for many defective edges in hypergraphs PB - Rheinisch-Westfälischen Technischen Hochschule Aachen CY - Aachen ER -