WEBINAR

Digital Twins for Medicine Cabinets

New webinar: May 26, 4pm CET
Registration link: https://bit.ly/3txgQrN

About DayTime

DayTime Hakkında

The concept of digital twin can provide solutions for the challenges faced in Smart Manufacturing, e.g. for Predictive Maintenance (PdM) techniques. Even though predictive maintenance and digital twins expected to have a high impact on future smart manufacturing and engineering, there are still very few functioning examples of digital twins being used for predictive maintenance in actual industrial practice. It is the gap DayTiMe is about to fill, integrating findings and solutions from 14 industrial use cases and using a generic value chain model.

Activities

DayTime Review, Istanbul, Turkey, January 14, 2021

14.01.2021

The 30th European Safety and Reliablity Conference / The 15th Probalistic Safety Assessment and Management Conference (ESREL 2020 PSAM 15). Venice, Italy, 1-6 november 2020

01.11.2020 - 06.11.2020

International online consortium meeting on August 26, 2020

26.08.2020

International consortium will meet at ITU on December 17, 2019!

15.12.2019

DayTime Kick Off

16.04.2019 - 17.04.2019

Dissemination

R. Rocchetta, L. G. Crespo, “A scenario optimization approach to reliability-based and risk-based design: soft-constrained modulation of failure probability bounds”, Reliability Engineering and System Safety

Gray, A. Wimbush, R. Rocchetta, M. De Angelis, P. O. Hristov, D. Calleja, E. Miralles-Dolz, “From inference to design: a comprehensive framework for uncertainty quantification in engineering with limited information”, Mechanical Systems and Signal Processing

Dursun, Ipek and Akçay, Alp and van Houtum, Geert-Jan, Age-Based Maintenance under Population Heterogeneity: Optimal Exploration and Exploitation.

‘Dursun, Ipek and Akçay, Alp and van Houtum, Geert-Jan,Optimal Maintenance Planning under Population Heterogeneity with Data Retrieved from Multiple Systems’ Online Event: 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR) - IMA

Zheng, X., Kamat, A. M., Harish, V. S., Cao, M., & Kottapalli, A. G. P. (2021). Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor. In 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS) (pp. 1271-1274). [B3-344j] IEEE.

Kamat, A. M., & Kottapalli, A. G. P. (2021). 3D printed graphene-coated flexible lattice as piezoresistive pressure sensor. In 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS) (pp. 888-891). [B4-411d] IEEE.

T. Li, B. Jayawardhana, A. M. Kamat and A. G. P. Kottapalli, "Source-Seeking Control of Unicycle Robots With 3-D-Printed Flexible Piezoresistive Sensors," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2021.3076964. A video summary of the work can be found here: https://www.youtube.com/watch?v=y3OoRu5GX3M

Roberto Rocchetta, The Twelfth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2021), https://drive.google.com/file/d/1yDGx8lJvKI6jocwpy3lYmtdHRYwIaT-W/view?usp=sharing

Roberto Rocchetta, Qi Gao, Milan Petkovic, “Soft-constrained interval predictor models and epistemic reliability intervals: A new tool for uncertainty quantification with limited experimental data” Mechanical Systems and Signal Processing, Vol 161, 2021, 107973, https://doi.org/10.1016/j.ymssp.2021.107973

Shaochuan Feng, Amar M. Kamat, Soheil Sabooni & Yutao Pei (2021) Experimental and numerical investigation of the origin of surface roughness in laser powder bed fused overhang regions, Virtual and Physical Prototyping 16, DOI: 10.1080/17452759.2021.1896970. Link to paper (open access): https://www.tandfonline.com/doi/full/10.1080/17452759.2021.1896970

Shaochuan Feng, Amar M. Kamat, & Yutao Pei (2021) Design and fabrication of conformal cooling channels in molds: Review and progress updates, International Journal of Heat and Mass Transfer 171, 121082, DOI: 10.1016/j.ijheatmasstransfer.2021.121082. Link to paper (open access): https://www.sciencedirect.com/science/article/pii/S001793102100185X

A Bachelor student, Mart Veenstra, from the Industrial Engineering and Management program at the University of Groningen will perform his final year project with us to develop pressure sensors on shavers. His project runs from April to June 2021.

Our Abstract titled '3D-printed Flexible Piezoresistive Sensors-based Source Seeking Control of Unicycle Robots' has been accepted for presentation at the Benelux Workshop on Systems and Control 2021. The work describes the development of control algorithms for autonomous steering of robots towards an airflow source using 3D-printed airflow sensors. The paper will be presented in the conference in Jun 2021. A video demo of the robot source seeking can be publicly accessed here: https://www.youtube.com/watch?v=y3OoRu5GX3M

I. Dursun, LNMB (Landelijk Netwerk Mathematische Besliskunde) conference in January 22, 2021 with topic: ‘Age-Based Maintenance under Population Heterogeneity Optimal Exploration and Exploitation’: https://drive.google.com/file/d/1Nt1oz0CyuDbfvUpojw7Qp0SVcEsUQcAj/view

A. M. Kamat, Y. Pei, B. Jayawardhana, A. G. P. Kottapalli, Biomimetic Soft Polymer Microstructures and Piezoresistive Graphene MEMS Sensors Using Sacrificial Metal 3D Printing, ACS Applied Materials and Interfaces (2021). doi:. 10.1021/acsami.0c21295
Link to paper (open access): https://pubs.acs.org/doi/10.1021/acsami.0c21295

U. Saha, A.M. Kamat, D. Sengupta, B. Jayawardhana, A.G.P. Kottapalli, A Low-Cost Lung Monitoring Point-Of-Care Device Based On A Flexible Piezoresistive Flow Sensor, 2020 IEEE Sensors Proceedings, Rotterdam, NL, Oct 25-28. (2020)

A.M. Kamat, B. Jayawardhana, A.G.P. Kottapalli, PDMS Flow Sensors With Graphene Piezoresistors Using 3D Printing and Soft Lithography, 2020 IEEE Sensors Proceedings, Rotterdam, NL, Oct 25-28. (2020)

Fabrication of polymeric microstructures, PCT/EP2020/082304, filed Nov 16 2020 Patent applicant: University of Groningen Inventors: Kamat, A.M., Kottapalli, A.G.P, Pei, Y.

A.M. Kamat, X. Zheng, B. Jayawardhana, A.G.P. Kottapalli, Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding, Nanotechnology. (2020). doi:10.1088/1361-6528/abcc96.

Roberto Rocchetta, Qi Gao, Milan Petkovic “Scenario-based generalization bound for anomaly detection support vector machine ensembles”, submitted to ESREL 2020 PSAM 15 conference. https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/5708.pdf

A. Gray, R.Rocchetta, A. Wimbush, M. DeAngelis, P. O. Hristov, E. Miralles-Dolz, D. Calleja “Solution framework for black-box uncertainty quantification: addressing the 2020 NASA Langley’s UQ challenge on optimization under uncertainty”, submitted to ESREL 2020 PSAM 15 conference. https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/5520.pdf

R. Rocchetta, L.G. Crespo “An Empirical Approach to Reliability-based Design using Scenario Optimization”, e-proceedings of the ESREL 2020 PSAM 15 conference. https://www.rpsonline.com.sg/proceedings/esrel2020/html/4775.xml

A. Grishina, M. Stolikj, Q. Gao, and M. Petkovic, “Improving Spare Part Search for Maintenance Services using Topic Modelling,” in Proceedings of the CIKM 2020 Workshops, Galway, Ireland (online) http://ceur-ws.org/Vol-2699/paper13.pdf

Kamat, A. M., Zheng X., Jayawardhana B., Kottapalli, A. G. P. (2020) Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding, IOP Nanotechnology, under review

Kamat, A. M., Pei, Y. T., Jayawardhana B., Kottapalli, A. G. P. (2020) Sacrificial metal 3D printing for biomimetic soft polymer microstructures and MEMS sensors with embedded graphene piezoresistors, ACS Applied Materials and Interfaces, under review

Saha, U., Kamat, A.M., Sengupta, D., Jayawardhana, B., Kottapalli, A.G.P., A low-cost lung monitoring point-of-care device based on a flexible piezoresistive flow sensor,IEEE Sensors 2020, Oct 25-28 2020, Rotterdam, NL

Kamat, A.M., Jayawardhana B., Kottapalli, A. G. P., PDMS flow sensors with graphene piezoresistors using 3D-Printing and soft lithography, IEEE Sensors 2020, Oct 25-28 2020, Rotterdam, NL

Jan Verhasselt, Managing Director Yazzoom & Koen De Bauw Chief Technologist Engie - Laborelec Hybrid (AI & Human) Condition Monitoring of Combined Heat and Power Plants on Asset Performance 4.0 Conference www.assetperformance.eu

15.09.2020 - 17.09.2020

DayTiMe Consortium, “DayTiMe: State-of-the-art on use cases and enabling technologies”, public deliverable. PDF

17.08.2020

DayTiMe Consortium, “DayTiMe: State-of-the-art on use cases and enabling technologies”, public deliverable. PDF

17.08.2020

Roberto Rocchetta, Qi Gao, Milan Petkovic  “Scenario-based generalization bound for anomaly detection support vector machine ensembles”, (accepted) ESREL 2020 PSAM 15 conference.

07.08.2020

A. Gray, R.Rocchetta, A. Wimbush, M. DeAngelis, P. O. Hristov, E. Miralles-Dolz, D. Calleja “Bayesian calibration and probability bounds analysis solution to the Nasa 2020 UQ challenge on optimization under uncertainty”, (accepted)  ESREL 2020 PSAM 15 conference.

07.08.2020

R. Rocchetta, L.G. Crespo “An Empirical Approach to Reliability-based Design using Scenario Optimization”, available on the e-proceedings of the ESREL 2020 PSAM 15 conference. https://www.rpsonline.com.sg/proceedings/esrel2020/html/4775.xml

07.08.2020

R. Rochetta, E. Patelli, "A post-contingency power flow emulator for generalized probalistic risks assessment of power grids", Reliability Engineering and System Safety 197 (2020), Elsevier

21.01.2020

I. Dursun, "Data-driven Maintenance Planning under Uncertainty", ITU

16.12.2019

M. van Helvoort, "Resonating Public Private Partnerships", European Alliance Summit

14.11.2019

I. Dursun, "Data-driven Maintenance Planning for Capital Goods", Data Science Summit

12.11.2019

Soleymanzadeh, K., "A Tool for Modeling JsonLogic based Business Process Rules", Proceedings of the 1st International Informatics and Software Engineering Conference

06.11.2019 - 07.11.2019

J. van Etten, "DayTime - benefit of PPP for SME", JADS guest lecture, November 4, 2019.

04.11.2019

I. Dursun, "Maintenance Planning under Uncertainty", ESCF Workshop

September 2019

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