DIGICOMP: Smarter Ansatz für nachhaltigere Faserverbundstrukturen

Gerade bei der Fertigung von Bauteilklassen mit hoher Variabilität für kleine bis mittlere Stückzahlen mit großen Halbzeugvariationen bieten heterogene und digital vernetzte Fertigungsprozesse ein großes Potenzial für eine leistungsbezogene Qualifikation. Der innovative Kern der smarten Faserverbundfertigung: DigiComP am DLR Institut für Faserverbundleichtbau und Adaptronik (FA) liegt in der serviceorientierten Architektur entlang einer schlanken Informationslogistik. Technische Prozesse, Infrastrukturen sowie Softwaresysteme werden als einzelne Dienste (engl. Services) gedacht und durch netzwerkfähige, generalistische Programmschnittstellen (API) verknüpft

Towards smart production: Sensors, information flow, architecture and analysis

We present the lessons learnt and way forward after the national funded project iFeZ. A lot of practical challenges of a digitized production were tackled as the retrofit of 7 different sensor systems for process monitoring to test feasibility and interference. Furthermore, we introduce our open source-based architecture to transfer, store and visualize data and harmonize in-house developed expert systems. The transferability as well as their application to other process technologies is shown in the outlook

Prozessieren am Limit - Charakterisierung von Schäumen unter Fertigungsrandbedingungen

Kostengünstige Strukturschaumstoffe finden in der automobilen Serienfertigung von endlosfaserverstärkten Verbundstrukturen kaum Anwendung. Die Ursache hierfür liegt nicht in der Performance der Schaummaterialien selbst, sondern beruht auf nicht näher spezifizierten Verarbeitungseigenschaften. Dabei sind es gerade die besonders leichten und hoch tragfähigen Faserverbund-Sandwichstrukturen, die einen wesentlichen Beitrag zur steigenden Mobilität leisten können. Mit dem Ziel Material und Prozess in Einklang zu bringen, wurde am Institut für Faserverbundleichtbau und Adaptronik im Rahmen des DLR-Forschungsprojekts Next Generation Car (NGC) das einfache aber hocheffiziente Foam Analysis Ultrasound System (FAUSt) entwickelt und patentiert (Patent: DE102015114492). Auf Basis von Ultraschall-Sensoren ermöglicht es die Bestimmung des Schaumverhaltens unter realen Fertigungsrandbedingungen

Software for Partly Automated Recognition of Targets

The Feature Analyst is a computer program for assisted (partially automated) recognition of targets in images. This program was developed to accelerate the processing of high-resolution satellite image data for incorporation into geographic information systems (GIS). This program creates an advanced user interface that embeds proprietary machine-learning algorithms in commercial image-processing and GIS software. A human analyst provides samples of target features from multiple sets of data, then the software develops a data-fusion model that automatically extracts the remaining features from selected sets of data. The program thus leverages the natural ability of humans to recognize objects in complex scenes, without requiring the user to explain the human visual recognition process by means of lengthy software. Two major subprograms are the reactive agent and the thinking agent. The reactive agent strives to quickly learn the user s tendencies while the user is selecting targets and to increase the user s productivity by immediately suggesting the next set of pixels that the user may wish to select. The thinking agent utilizes all available resources, taking as much time as needed, to produce the most accurate autonomous feature-extraction model possible

Senior Recital: Jonathan Pace, jazz percussion

This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Performance. Mr. Pace studies jazz percussion with Justin Chesarek.https://digitalcommons.kennesaw.edu/musicprograms/2010/thumbnail.jp

Leichtbauproduktion von morgen - Digitalisierung als Wegbereiter für nachhaltige Fertigung

Welchen Beitrag kann Digitalisierung für eine nachhaltige Fertigung leisten? Digitalisierungsansätze und Beispiel aus dem DLR-Institut FA

Sensorintegriertes Multifunktionswerkzeug zur Prozessoptimierung (SiMP) im Verbundvorhaben "iFeZ" - Intelligentes Formwerkzeug der Zukunft

Im Rahmen des Vorhabens "iFeZ - Intelligentes Formwerkzeug der Zukunft" widmete sich das DLR vor dem Hintergrund einer erfahrungsbasierten Fertigung von FVK-Luftfahrtbauteilen mit einem hohen Anteil manueller und damit variierender Prozessschritte der Umsetzung eines sensorintegrierten und multifunktionalen Formwerkzeuges innerhalb einer intelligent vernetzten Produktionsumgebung zur aktiven Prozessgestaltung mit dem Ziel einer nachhaltigen Komponentenfertigung. Die Aktivitäten im Teilvorhaben "Sensorintegriertes Multifunktionswerkzeug zur Prozessoptimierung" (SIMP) konzentrieren sich auf Untersuchungen zur Sensierung der Fertigungsteilprozesse Tränkung und Aushärtung von Faserverbundbauteilen und umfasste die Definition geometrischer und laminatspezifischer Bauteilqualitätskriterien sowie die Sensorauswahl und -entwicklung zur Erfassung der relevanter Größen. Neben dem Nachweis zur Funktionsfähigkeit der Einzeltechnologien erfolgte die Implementierung in ein vorhandenes Formwerkzeug mittels Digital Mock Up. Weiterhin wurde die Integration in die Gesamtanlageninfrastruktur vorgenommen sowie eine vollständig vernetzte Systemumgebung auf Basis bereitgestellter Services aufgebaut. Die Analyse und Validierung erfolgte in Fertigungsversuchen am Funktionsmuster: Spant. Neben dem Potential der Live-Visualisierung der erfassten Daten konnte deren Kopplung mit der Prozesssimulation zur Bauteil-Zustandsbeschreibung auf Basis von Sensorstützstellen und Simulationsmodellen gezeigt werden. Die Ergebnisse zeigen gleichermaßen die Möglichkeit der digitalen Transformation für vorhandene Produktionssysteme als auch das Potential der Daten für mehr Produktionseffizienz bei Faserverbunden. Within the framework of the project "iFeZ - Intelligent mold of the future", the DLR, against the background of an experience-based production of FRP aerospace components with a high proportion of manual and thus varying process steps, devoted itself to the implementation of a sensor-integrated and multifunctional mold within an intelligently networked production environment for active process design with the aim of sustainable component production. The activities in the sub-project "Sensor-integrated multifunctional mold for process optimisation" (SIMP) focus on investigations into the sensing of the sub-processes impregnation and curing of fibre composite components and include the definition of geometric and laminate-specific component quality criteria as well as sensor selection and development to record the relevant variables. In addition to the verification of the functionality of the individual technologies, the implementation in an existing mold was carried out by means of digital mock-up (DMU). Furthermore, the integration into the overall plant infrastructure was carried out and a fully networked system environment was set up on the basis of services. The analysis and validation was realised in experiments on the functional model: Z-frame. In addition to the potential of live visualization of the collected data, its coupling with process simulation for state description based on sensors and simulation models could be shown. The results demonstrate both the possibility of digital transformation for existing production systems and the potential of the data for more production efficiency in fiber composites

Open science in archaeology

No abstract available

Long-term outcomes of operable stage III NSCLC in the pre-immunotherapy era: results from a pooled analysis of the SAKK 16/96, SAKK 16/00, SAKK 16/01, and SAKK 16/08 trials.

BACKGROUND Chemoradiotherapy with durvalumab consolidation has yielded excellent results in stage III non-small-cell lung cancer (NSCLC). Therefore, it is essential to identify patients who might benefit from a surgical approach. MATERIAL AND METHODS Data from 437 patients with operable stage III NSCLC enrolled in four consecutive Swiss Group for Clinical Cancer Research (SAKK) trials (16/96, 16/00, 16/01, 16/08) were pooled and outcomes were analyzed in 431 eligible patients. All patients were treated with three cycles of induction chemotherapy (cisplatin/docetaxel), followed in some patients by neoadjuvant radiotherapy (44 Gy, 22 fractions) (16/00, 16/01, 16/08) and cetuximab (16/08). RESULTS With a median follow-up time of 9.3 years (range 8.5-10.3 years), 5- and 10-year overall survival (OS) rates were 37% and 25%, respectively. Overall, 342 patients (79%) underwent tumor resection, with a complete resection (R0) rate of 80%. Patients (n = 272, 63%) with R0 had significantly longer OS compared to patients who had surgery but incomplete resection (64.8 versus 19.2 months, P < 0.001). OS for patients who achieved pathological complete remission (pCR) (n = 66, 15%) was significantly better compared to resected patients without pCR (86.5 versus 37.0 months, P = 0.003). For patients with pCR, the 5- and 10-year event-free survival and OS rates were 45.7% [95% confidence interval (CI) 32.8% to 57.7%] and 28.1% (95% CI 15.2% to 42.6%), and 58.2% (95% CI 45.2% to 69.2%) and 45.0% (95% CI 31.5% to 57.6%), respectively. CONCLUSION We report favorable long-term outcomes in patients with operable stage III NSCLC treated with neoadjuvant chemotherapy with cisplatin and docetaxel ± neoadjuvant sequential radiotherapy from four prospective SAKK trials. Almost two-third of the patients underwent complete resection after neoadjuvant therapy. We confirm R0 resection and pCR as important predictors of outcome

Neoadjuvant treatment does not influence PD-L1 expression in stage III non-small-cell lung cancer: a retrospective analysis of tumor samples from the trials SAKK 16/96, 16/00, 16/01, and 16/14.

The inclusion of immune checkpoint inhibitors (ICIs) in the treatment of operable stage III non-small-cell lung cancer is becoming a new standard. Programmed death-ligand 1 (PD-L1) protein expression on tumor cells has emerged as the most important biomarker for sensitivity to ICIs targeting the programmed cell death protein 1 (PD-1)-PD-L1 axis. Little is known about the impact of neoadjuvant treatment on PD-L1 expression. We assessed PD-L1 expression by immunohistochemistry (Ventana SP263 assay) on tumor cells in treatment-naive diagnostic tumor samples and matched lung resections from patients with stage III non-small-cell lung cancer included in the Swiss Group for Clinical Cancer Research (SAKK) trials 16/96, 16/00, 16/01, and 16/14. All patients received neoadjuvant chemotherapy (CT) with cisplatin/docetaxel, either as single modality (CT), with sequential radiotherapy [chemoradiation therapy (CRT)] or with the PD-L1 inhibitor durvalumab (CT + ICI). Overall, 132 paired tumor samples were analyzed from patients with neoadjuvant CT (n = 69), CRT (n = 33) and CT + ICI (n = 30). For CT and CRT, PD-L1 expression before and after neoadjuvant treatment did not differ significantly (Wilcoxon test, P = 0.94). Likewise, no statistically significant difference was observed between CT and CRT for PD-L1 expression after neoadjuvant treatment (P = 0.97). For CT + ICI, PD-L1 expression before and after neoadjuvant treatment also did not differ significantly (Wilcoxon test, P &gt; 0.99). Event-free survival and overall survival for patients with downregulation or upregulation of PD-L1 expression after neoadjuvant treatment were similar. In our cohort of patients neoadjuvant treatment did not influence PD-L1 expression, irrespective of the specific neoadjuvant treatment protocol. Dynamic change of PD-L1 expression did not correlate with event-free survival or overall survival