| 1. |
- Liu, X., et al.
(författare)
-
Convolutional Neural Network for Predicting Mechanical Behavior of Composites with Fiber Waviness
- 2022
-
Ingår i: Proceedings of the American Society for Composites - 37th Technical Conference, ASC 2022. - : DEStech Publications Inc.. - 9781605956909
-
Konferensbidrag (refereegranskat)abstract
- The fiber waviness is inevitable in non-crimp fabric (NCF) reinforced composites. It is very challenging to accurately and efficiently predict the material behavior with fiber waviness. This work presents a machine learning approach to the prediction of material behavior of NCF composites under a compressive load. The out-of-plane fiber orientations are first extracted from micrographs of NCF laminates. A digital twinning process is followed to create finite element (FE) models with elementwise fiber orientations. Based on the FE models, a physics-based damage model is employed to generate high-fidelity simulation datasets, capturing the kink-band due to the fiber waviness. With the simulation datasets, convolutional neural network (CNN) models are developed to take the images of the fiber orientations and predict the corresponding stiffness, strength, and stress-strain curves of the NCF composites. The results show that the CNN models can capture spatial information of the fiber orientation and efficiently predict the corresponding material behavior with a high accuracy. In addition, the correlations of the fiber orientations and the final material behaviors are investigated based on the developed CNN models.
|
|
| 2. |
- Carnohan, Shane, et al.
(författare)
-
Next generation application of DPSIR for sustainable policy implementation
- 2023
-
Ingår i: Current Research in Environmental Sustainability. - : Elsevier B.V.. - 2666-0490. ; 5
-
Tidskriftsartikel (refereegranskat)abstract
- As our societies and natural systems are becoming ever more interconnected, it is critical that sustainable management can adapt to new knowledge from both the ecological and the social domains, and act on it in a timely and effective manner. This need is amplifying in the Anthropocene as we are approaching the limit for humanity's safe operating space, leading to irreversible change to ecosystem function. This urgently requires increased attention and concern regarding the information feedbacks between the silos of science, policy and society. A web of policies is in place to protect the health of people and the planet, but to ensure that they are effective we need frameworks to make sense of real-world complexities and interlinkages between multiple factors. The Drivers-Pressures-State-Impacts-Response (DPSIR) framework was created for this purpose, however, its' implicit focus on 1) analytical and 2) procedural aspects must be made explicit, to enable coordination across silos and studies. Continued creation of new DPSIR derivatives may limit its impact, while more explicit coordination between these two aspects can improve the effectiveness of DPSIR while retaining its flexibility. We thus propose five elements to support sustainable policy development and implementation using DPSIR: 1) iteration; 2) risk, uncertainty and analytical bias; 3) flexible integration; 4) use of quantitative methods, and; 5) clear and standard definitions for DPSIR. We illustrate these elements in four cases: Three highlight missing feedbacks when DPSIR elements are not made explicit and a fourth case – on per-and-polyfluorinated alkyl substances (PFAS) – showing a potential roadmap to successful policy implementation using DPSIR. © 2022 The Authors
|
|
| 3. |
- Ozolins, Oskars, et al.
(författare)
-
7×149 Gbit/s PAM4 transmission over 1 km multicore fiber for short-reach optical interconnects
- 2018
-
Ingår i: Optics InfoBase Conference Papers. - : Optics Info Base, Optical Society of America. - 9781557528209
-
Konferensbidrag (refereegranskat)abstract
- We transmit 80 Gbaud/λ/core PAM4 signal enabled by 1.55 μm EML over 1 km 7-core fiber. The solution achieves single-wavelength and single-fiber 1.04 Tbit/s post-FEC transmission enhancing bandwidth-density for short-reach optical interconnects.
|
|
| 4. |
- Yang, Li, et al.
(författare)
-
A model of inkjet printing on porous substrates incorporating droplet impact
- 2017
-
Ingår i: 44th International Research Conference of iarigai. - Darmstadt : International Association of Research Organizations for the Information, Media and Graphic Arts Industrie (IARIGAI). - 9783987070471 ; , s. 3-6
-
Konferensbidrag (refereegranskat)abstract
- A model of inkjet printing dynamics has been developed that enables a comprehensive view to be obtained of the relationships between the characteristics of the ink droplet (volume, striking speed, viscosity and surface tension), substrate properties and interactions between the ink and the substrate. Simulations based on the three equations that are the major results of the model have provided an understanding of the basics of inkjet printing. Pressure profiles resulting from ink-striking by ink droplets of different volumes and jetting speeds have been obtained. The time duration of the striking process was in the order of microsecond and the peaks of the striking pressure were solely dependent on the jetting velocities, while the duration time of the striking processes was dependent only on the droplets volumes. The penetration length (depth) was heavily dependent on the contact angle. For a coated surface of small pores, the initial penetration depth was 0.26 micron when the striking speed was 30m/s. For a larger pore, the corresponding depth was 1.30 micron.
|
|
