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- Ji, Qinglei, et al.
(författare)
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A Modular Microfluidic Device via Multimaterial 3D Printing for Emulsion Generation
- 2018
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Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 8
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Tidskriftsartikel (refereegranskat)abstract
- 3D-printing (3DP) technology has been developing rapidly. However, limited studies on the contribution of 3DP technology, especially multimaterial 3DP technology, to droplet-microfluidics have been reported. In this paper, multimaterial 3D-printed devices for the pneumatic control of emulsion generation have been reported. A 3D coaxial flexible channel with other rigid structures has been designed and printed monolithically. Numerical and experimental studies have demonstrated that this flexible channel can be excited by the air pressure and then deform in a controllable way, which can provide the active control of droplet generation. Furthermore, a novel modular microfluidic device for double emulsion generation has been designed and fabricated, which consists of three modules: function module, T-junction module, and co-flow module. The function module can be replaced by (1) Single-inlet module, (2) Pneumatic Control Unit (PCU) module and (3) Dual-inlet module. Different modules can be easily assembled for different double emulsion production. By using the PCU module, double emulsions with different number of inner droplets have been successfully produced without complicated operation of flow rates of different phases. By using single and dual inlet module, various double emulsions with different number of encapsulated droplets or encapsulated droplets with different compositions have been successfully produced, respectively.
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| 3. |
- Lee, Christina, 1992, et al.
(författare)
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Production Across the Nordics
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In the uncertain and volatile market that companies are currently facing worldwide, researchers and engineers become a key link to strengthen the industry and universities in order to understand, communicate, and tackle current challenges. In the PhD course, International Production, the goal is to investigate what makes Sweden and Iceland booming industrial hubs driven by technology. Through the visits to different types of industries, such as fintech, medical, or automotive industry, we as researchers have gained a better understanding of the challenges they are currently facing. This report is a summary of our findings and observations. The participants have focused on the six challenge areas highlighted within the Produktion2030 graduate school and summarize their findings as: •Resource-efficient production: Data as a resource is becoming increasingly important for the majority of companies in the Nordics and the application of traditional resource management tools on data is a suggested area for future research. •Flexible production: To strengthen organizations by enabling production systems to be flexible to address market variations is a key challenge to consider in the manufacturing industry •Virtual production development: Digitalization level is distinct in each Nodic country with the reason that each country has its own digitalization transformation policy and different measures on digitalization level. •Humans in the production system: Humans are central in the production systems of the visited companies. Use of automation technology and AI to support humans in their work may become more common in the future. •Circular production systems and maintenance: Circular production systems require a complex approach through the whole value chain. Industry in the Nordics has started the adoption of a circularity approach. •Integrated product and production development: Integration of product and production development is a key business factor for the Nordic countries, and geographical proximity between the two departments can have a beneficial effect. We hope that this report provides more details regarding the success and current challenges of the Swedish and Icelandic enterprises.
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| 4. |
- Liu, Yang, et al.
(författare)
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A Fuzzy-Rough Sets Based Compact Rule Induction Method for Classifying Hybrid Data
- 2012
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Konferensbidrag (refereegranskat)abstract
- Rule induction plays an important role in knowledge discovery process. Rough set based rule induction algorithms are characterized by excellent accuracy, but they lack the abilities to deal with hybrid attributes such as numeric or fuzzy attributes. In real-world applications, data usually exists with hybrid formats, and thus a unified rule induction algorithm for hybrid data learning is desirable. We firstly model different types of attributes in equivalence relationship, and define the key concepts of block, minimal complex and local covering based on fuzzy rough sets model, then propose a rule induction algorithm for hybrid data learning. Furthermore, in order to estimate performance of the proposed method, we compare it with state-of-the-art methods for hybrid data learning. Comparative studies indicate that rule sets extracted by this method can not only achieve comparable accuracy, but also get more compact rule sets. It is therefore concluded that the proposed method is effective for hybrid data learning.
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| 5. |
- Liu, Yang, et al.
(författare)
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Rough Sets Based Inequality Rule Learner for Knowledge Discovery
- 2012
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Konferensbidrag (refereegranskat)abstract
- Traditional rule learners employ equality relations between attributes and values to express decision rules. However, inequality relationships, as supplementary relations to equation, can make up a new function for complex knowledge acquisition. We firstly discuss an extended compensatory model of decision table, and examine how it can simultaneously express both equality and inequality relationships of attributes and values. In order to cope with large-scale compensatory decision table, we propose a scalable inequality rule leaner, which initially compresses the input spaces of attribute value pairs. Example and experimental results show that the proposed learner can generate compact rule sets that maintain higher classification accuracies than equality rule learners.
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| 6. |
- Zhang, Jia Ming, et al.
(författare)
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An integrated micro-millifluidic processing system.
- 2018
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Ingår i: Lab on a chip. - : Royal Society of Chemistry. - 1473-0197 .- 1473-0189. ; 18:22, s. 3393-3404
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Tidskriftsartikel (refereegranskat)abstract
- The development of integrated microfluidic systems/platforms concerns many fields. Current remarkable integrated systems based on stacking multi-layer polydimethylsiloxane (PDMS) require complicated fabrication and operation and still remain challenging. We propose a novel micro-millifluidic processing system (MPS) comprising three core modules: a motherboard, a control panel and microfluidic chips. Fluids are handled in sub-millichannels in a motherboard and functional operations occur in microchannels in microfluidic chips. A motherboard with versatile functional units for fluid handling was monolithically fabricated via multimaterial 3D printing, which avoids multi-layer structures, and the major disadvantage of current 3D printing, i.e. low resolution, has been overcome by integrating novel microfluidic chips based on our developed maskless lithography platform. Both numerical and experimental studies were conducted to validate our system. Potential applications such as droplet generation and distribution, microfluidic mixing and simple bacterial resistance tests have been demonstrated via our MPS.
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