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1

Saha, Sourabh K., Dien Wang, Vu H. Nguyen, Yina Chang, James S. Oakdale, and Shih-Chi Chen. "Scalable submicrometer additive manufacturing." Science 366, no. 6461 (2019): 105–9. http://dx.doi.org/10.1126/science.aax8760.

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High-throughput fabrication techniques for generating arbitrarily complex three-dimensional structures with nanoscale features are desirable across a broad range of applications. Two-photon lithography (TPL)–based submicrometer additive manufacturing is a promising candidate to fill this gap. However, the serial point-by-point writing scheme of TPL is too slow for many applications. Attempts at parallelization either do not have submicrometer resolution or cannot pattern complex structures. We overcome these difficulties by spatially and temporally focusing an ultrafast laser to implement a projection-based layer-by-layer parallelization. This increases the throughput up to three orders of magnitude and expands the geometric design space. We demonstrate this by printing, within single-digit millisecond time scales, nanowires with widths smaller than 175 nanometers over an area one million times larger than the cross-sectional area.
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Dubois, Valentin, Simon J. Bleiker, Göran Stemme, and Frank Niklaus. "Scalable Manufacturing of Nanogaps." Advanced Materials 30, no. 46 (2018): 1801124. http://dx.doi.org/10.1002/adma.201801124.

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Hu, Huan, Hoe Kim, and Suhas Somnath. "Tip-Based Nanofabrication for Scalable Manufacturing." Micromachines 8, no. 3 (2017): 90. http://dx.doi.org/10.3390/mi8030090.

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4

Huang, Ya, Jianan Song, Cheng Yang, Yuanzheng Long, and Hui Wu. "Scalable manufacturing and applications of nanofibers." Materials Today 28 (September 2019): 98–113. http://dx.doi.org/10.1016/j.mattod.2019.04.018.

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5

Anderluzzi, Giulia, Gustavo Lou, Yang Su, and Yvonne Perrie. "Scalable Manufacturing Processes for Solid Lipid Nanoparticles." Pharmaceutical Nanotechnology 7, no. 6 (2019): 444–59. http://dx.doi.org/10.2174/2211738507666190925112942.

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Background: Solid lipid nanoparticles offer a range of advantages as delivery systems but they are limited by effective manufacturing processes. Objective: In this study, we outline a high-throughput and scalable manufacturing process for solid lipid nanoparticles. Method: The solid lipid nanoparticles were formulated from a combination of tristearin and 1,2-Distearoyl-phosphatidylethanolamine-methyl-polyethyleneglycol conjugate-2000 and manufactured using the M-110P Microfluidizer processor (Microfluidics Inc, Westwood, Massachusetts, US). Results: The manufacturing process was optimized in terms of the number of process cycles (1 to 5) and operating pressure (20,000 to 30,000 psi). The solid lipid nanoparticles were purified using tangential flow filtration and they were characterized in terms of their size, PDI, Z-potential and protein loading. At-line particle size monitoring was also incorporated within the process. Our results demonstrate that solid lipid nanoparticles can be effectively manufactured using this process at pressures of 20,000 psi with as little as 2 process passes, with purification and removal of non-entrapped protein achieved after 12 diafiltration cycles. Furthermore, the size could be effectively monitored at-line to allow rapid process control monitoring and product validation. Conclusion: Using this method, protein-loaded solid lipid nanoparticles containing a low (1%) and high (16%) Pegylation were manufactured, purified and monitored for particle size using an at-line system demonstrating a scalable process for the manufacture of these nanoparticles.
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Wang, Wencai, and Yoram Koren. "Design Principles of Scalable Reconfigurable Manufacturing Systems." IFAC Proceedings Volumes 46, no. 9 (2013): 1411–16. http://dx.doi.org/10.3182/20130619-3-ru-3018.00185.

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Rožman, Nejc, Janez Diaci, and Marko Corn. "Scalable framework for blockchain-based shared manufacturing." Robotics and Computer-Integrated Manufacturing 71 (October 2021): 102139. http://dx.doi.org/10.1016/j.rcim.2021.102139.

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8

Basse, Isabel, Alexander Sauer, and Robert Schmitt. "Scalable Ramp-up of Hybrid Manufacturing Systems." Procedia CIRP 20 (2014): 1–6. http://dx.doi.org/10.1016/j.procir.2014.05.024.

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9

Javadi, Abdolreza, Shuaihang Pan, and Xiaochun Li. "Scalable manufacturing of ultra-strong magnesium nanocomposites." Manufacturing Letters 16 (April 2018): 23–26. http://dx.doi.org/10.1016/j.mfglet.2018.03.001.

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10

Hwang, Injoo, Zeyi Guan, and Xiaochun Li. "Scalable Manufacturing of Zinc-Tungsten Carbide Nanocomposites." Procedia Manufacturing 26 (2018): 140–45. http://dx.doi.org/10.1016/j.promfg.2018.07.017.

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11

Zhang, Xu A., Yijie Jiang, R. Bharath Venkatesh, et al. "Scalable Manufacturing of Bending-Induced Surface Wrinkles." ACS Applied Materials & Interfaces 12, no. 6 (2020): 7658–64. http://dx.doi.org/10.1021/acsami.9b23093.

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12

Adlerz, K., J. Lembong, D. Patel, J. A. Rowley, and T. Ahsan. "Scalable manufacturing system for MSC-EV generation." Cytotherapy 22, no. 5 (2020): S46. http://dx.doi.org/10.1016/j.jcyt.2020.03.051.

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13

Stötzner, Norbert. "Scalable, Single-stage Manufacturing of Hybrid Components." Lightweight Design worldwide 12, no. 1 (2019): 56–59. http://dx.doi.org/10.1007/s41777-018-0067-z.

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14

Khanbolouki, Pouria, Nekoda van de Werken, Terry G. Holesinger, Stephen K. Doorn, Timothy J. Haugan, and Mehran Tehrani. "Toward Scalable Manufacturing of Carbon Nanotube Coated Conductors." ACS Applied Electronic Materials 2, no. 2 (2020): 483–90. http://dx.doi.org/10.1021/acsaelm.9b00722.

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15

Yu, Minghao, and Xinliang Feng. "Scalable Manufacturing of MXene Films: Moving toward Industrialization." Matter 3, no. 2 (2020): 335–36. http://dx.doi.org/10.1016/j.matt.2020.07.011.

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16

Zhao, Huichan, Yan Li, Ahmed Elsamadisi, and Robert Shepherd. "Scalable manufacturing of high force wearable soft actuators." Extreme Mechanics Letters 3 (June 2015): 89–104. http://dx.doi.org/10.1016/j.eml.2015.02.006.

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17

Schweickart, R. "Scalable, robust and cost effective CAR-T manufacturing." Cytotherapy 21, no. 5 (2019): S44. http://dx.doi.org/10.1016/j.jcyt.2019.03.390.

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18

Spicer, Patrick, and Hector J. Carlo. "Integrating Reconfiguration Cost Into the Design of Multi-Period Scalable Reconfigurable Manufacturing Systems." Journal of Manufacturing Science and Engineering 129, no. 1 (2006): 202–10. http://dx.doi.org/10.1115/1.2383196.

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A reconfigurable manufacturing system (RMS) that is designed specifically to adapt to changes in production capacity, through system reconfiguration, is called a scalable-RMS. The set of system configurations that a scalable-RMS assumes as it changes over time is called its configuration path. This paper investigates how to determine the optimal configuration path of a scalable-RMS that minimizes investment and reconfiguration costs over a finite horizon with known demand. First, a practical cost model is presented to compute the reconfiguration cost between two scalable-RMS configurations. This model comprehends labor costs, lost capacity costs, and investment/salvage costs due to system reconfiguration and ramp up. Second, the paper presents an optimal solution model for the multiperiod scalable-RMS using dynamic programming (DP). Third, a combined integer programming/dynamic programming (IP-DP) heuristic is presented that allows the user to control the number of system configurations considered by the DP in order to reduce the solution time while still providing a reasonable solution. Numerical problems involving a two-stage and a three-stage scalable-RMS are solved using the DP and IP-DP methodologies. Experimental results suggest that the DP approach, although it is optimal, is not computationally efficient for large problem sizes. However, the combined IP-DP approach offers reasonable results with much less computational effort.
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19

Sireesha, Merum, Jeremy Lee, A. Sandeep Kranthi Kiran, Veluru Jagadeesh Babu, Bernard B. T. Kee, and Seeram Ramakrishna. "A review on additive manufacturing and its way into the oil and gas industry." RSC Advances 8, no. 40 (2018): 22460–68. http://dx.doi.org/10.1039/c8ra03194k.

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20

Morariu, Cristina, Octavian Morariu, Theodor Borangiu, and Silviu Raileanu. "Manufacturing Service Bus Integration Model for Implementing Highly Flexible and Scalable Manufacturing Systems." IFAC Proceedings Volumes 45, no. 6 (2012): 1850–55. http://dx.doi.org/10.3182/20120523-3-ro-2023.00433.

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21

Abou-el-Enein, Mohamed, Magdi Elsallab, Steven A. Feldman, et al. "Scalable Manufacturing of CAR T Cells for Cancer Immunotherapy." Blood Cancer Discovery 2, no. 5 (2021): 408–22. http://dx.doi.org/10.1158/2643-3230.bcd-21-0084.

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22

Green, Leigh Ann. "Scalable manufacturing process developed for producing core-sheath nanofibers." Scilight 2021, no. 49 (2021): 491106. http://dx.doi.org/10.1063/10.0008948.

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23

Goodman, Sheila M., Ignacio Asensi Tortajada, Florian Haslbeck, et al. "Scalable manufacturing of fibrous nanocomposites for multifunctional liquid sensing." Nano Today 40 (October 2021): 101270. http://dx.doi.org/10.1016/j.nantod.2021.101270.

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24

Adarkwa, Eben, and Salil Desai. "Scalable Droplet Based Manufacturing Using In-Flight Laser Evaporation." Journal of Nanoengineering and Nanomanufacturing 6, no. 2 (2016): 87–92. http://dx.doi.org/10.1166/jnan.2016.1265.

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25

Dixit, Marm B., Wahid Zaman, Yousuf Bootwala, Yanjie Zheng, Marta C. Hatzell, and Kelsey B. Hatzell. "Scalable Manufacturing of Hybrid Solid Electrolytes with Interface Control." ACS Applied Materials & Interfaces 11, no. 48 (2019): 45087–97. http://dx.doi.org/10.1021/acsami.9b15463.

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26

Hickerson, Anna I., Hsiang-Wei Lu, Kristina Roskos, Thomas Carey, and Angelika Niemz. "Disposable miniature check valve design suitable for scalable manufacturing." Sensors and Actuators A: Physical 203 (December 2013): 76–81. http://dx.doi.org/10.1016/j.sna.2013.08.016.

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27

Yu, Anthony C., Haoxuan Chen, Doreen Chan, et al. "Scalable manufacturing of biomimetic moldable hydrogels for industrial applications." Proceedings of the National Academy of Sciences 113, no. 50 (2016): 14255–60. http://dx.doi.org/10.1073/pnas.1618156113.

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Hydrogels are a class of soft material that is exploited in many, often completely disparate, industrial applications, on account of their unique and tunable properties. Advances in soft material design are yielding next-generation moldable hydrogels that address engineering criteria in several industrial settings such as complex viscosity modifiers, hydraulic or injection fluids, and sprayable carriers. Industrial implementation of these viscoelastic materials requires extreme volumes of material, upwards of several hundred million gallons per year. Here, we demonstrate a paradigm for the scalable fabrication of self-assembled moldable hydrogels using rationally engineered, biomimetic polymer–nanoparticle interactions. Cellulose derivatives are linked together by selective adsorption to silica nanoparticles via dynamic and multivalent interactions. We show that the self-assembly process for gel formation is easily scaled in a linear fashion from 0.5 mL to over 15 L without alteration of the mechanical properties of the resultant materials. The facile and scalable preparation of these materials leveraging self-assembly of inexpensive, renewable, and environmentally benign starting materials, coupled with the tunability of their properties, make them amenable to a range of industrial applications. In particular, we demonstrate their utility as injectable materials for pipeline maintenance and product recovery in industrial food manufacturing as well as their use as sprayable carriers for robust application of fire retardants in preventing wildland fires.
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28

de Soure, António M., Ana Fernandes-Platzgummer, Cláudia L. da Silva, and Joaquim M. S. Cabral. "Scalable microcarrier-based manufacturing of mesenchymal stem/stromal cells." Journal of Biotechnology 236 (October 2016): 88–109. http://dx.doi.org/10.1016/j.jbiotec.2016.08.007.

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29

Kim, Yun-Soung, Jesse Lu, Benjamin Shih, et al. "Scalable Manufacturing of Solderable and Stretchable Physiologic Sensing Systems." Advanced Materials 29, no. 39 (2017): 1701312. http://dx.doi.org/10.1002/adma.201701312.

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30

He, Zhiyu, Zhijia Liu, Houkuan Tian, et al. "Scalable production of core–shell nanoparticles by flash nanocomplexation to enhance mucosal transport for oral delivery of insulin." Nanoscale 10, no. 7 (2018): 3307–19. http://dx.doi.org/10.1039/c7nr08047f.

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31

Lee, Taejun, Chihun Lee, Dong Kyo Oh, Trevon Badloe, Jong G. Ok, and Junsuk Rho. "Scalable and High-Throughput Top-Down Manufacturing of Optical Metasurfaces." Sensors 20, no. 15 (2020): 4108. http://dx.doi.org/10.3390/s20154108.

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Metasurfaces have shown promising potential to miniaturize existing bulk optical components thanks to their extraordinary optical properties and ultra-thin, small, and lightweight footprints. However, the absence of proper manufacturing methods has been one of the main obstacles preventing the practical application of metasurfaces and commercialization. Although a variety of fabrication techniques have been used to produce optical metasurfaces, there are still no universal scalable and high-throughput manufacturing methods that meet the criteria for large-scale metasurfaces for device/product-level applications. The fundamentals and recent progress of the large area and high-throughput manufacturing methods are discussed with practical device applications. We systematically classify various top-down scalable patterning techniques for optical metasurfaces: firstly, optical and printing methods are categorized and then their conventional and unconventional (emerging/new) techniques are discussed in detail, respectively. In the end of each section, we also introduce the recent developments of metasurfaces realized by the corresponding fabrication methods.
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32

Shao, Shuai, Oscar Ortega-Rivera, Sayoni Ray, Jonathan Pokorski, and Nicole Steinmetz. "A Scalable Manufacturing Approach to Single Dose Vaccination against HPV." Vaccines 9, no. 1 (2021): 66. http://dx.doi.org/10.3390/vaccines9010066.

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Human papillomavirus (HPV) is a globally prevalent sexually-transmitted pathogen, responsible for most cases of cervical cancer. HPV vaccination rates remain suboptimal, partly due to the need for multiple doses, leading to a lack of compliance and incomplete protection. To address the drawbacks of current HPV vaccines, we used a scalable manufacturing process to prepare implantable polymer–protein blends for single-administration with sustained delivery. Peptide epitopes from HPV16 capsid protein L2 were conjugated to the virus-like particles derived from bacteriophage Qβ, to enhance their immunogenicity. The HPV-Qβ particles were then encapsulated into poly(lactic-co-glycolic acid) (PLGA) implants, using a benchtop melt-processing system. The implants facilitated the slow and sustained release of HPV-Qβ particles without the loss of nanoparticle integrity, during high temperature melt processing. Mice vaccinated with the implants generated IgG titers comparable to the traditional soluble injections and achieved protection in a pseudovirus neutralization assay. HPV-Qβ implants offer a new vaccination platform; because the melt-processing is so versatile, the technology offers the opportunity for massive upscale into any geometric form factor. Notably, microneedle patches would allow for self-administration in the absence of a healthcare professional, within the developing world. The Qβ technology is highly adaptable, allowing the production of vaccine candidates and their delivery devices for multiple strains or types of viruses.
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33

Popp, Ilie Octavian, and Ioan Barsan. "Using an Object-Oriented Approach for Scalable Flexibility in Manufacturing." Advanced Materials Research 463-464 (February 2012): 1035–38. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1035.

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In this paper, it is briefly explained how to configure the different resource modules that actually control the tasks of the physical device and put together a work cell consisting of other FMS resources. Finally, an example on building a workcell using a hierarchical approach is presented.
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Bilodeau, Ann Rossi Ann Rossi Bilodeau. "Scalable cell culture and transient transfection for viral vector manufacturing." Cell and Gene Therapy Insights 7, no. 9 (2021): 1035. http://dx.doi.org/10.18609/cgti.2021.135.

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35

N. Phelps, Robert. "Method For Scalable Manufacturing Of Medical Diagnostic Ultrasound Imaging Systems." Journal of the Acoustical Society of America 130, no. 5 (2011): 3180. http://dx.doi.org/10.1121/1.3662378.

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36

Moghaddam, Shokraneh K., Mahmoud Houshmand, Kazuhiro Saitou, and Omid Fatahi Valilai. "Configuration design of scalable reconfigurable manufacturing systems for part family." International Journal of Production Research 58, no. 10 (2019): 2974–96. http://dx.doi.org/10.1080/00207543.2019.1620365.

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37

Desai, Salil, and Ravindra Kaware. "Computational modeling of nanodroplet evaporation for scalable micro-/nano-manufacturing." IIE Transactions 44, no. 7 (2012): 568–79. http://dx.doi.org/10.1080/0740817x.2011.635181.

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38

Maharjan, Surendra, Kang-Shyang Liao, Alexander J. Wang, et al. "Self-cleaning hydrophobic nanocoating on glass: A scalable manufacturing process." Materials Chemistry and Physics 239 (January 2020): 122000. http://dx.doi.org/10.1016/j.matchemphys.2019.122000.

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39

Hirasawa, Shun, and Yoshinori Kohmura. "Practical and Scalable Manufacturing Process for Plasma Kallikrein Inhibitor ASP5069." Organic Process Research & Development 24, no. 12 (2020): 2830–39. http://dx.doi.org/10.1021/acs.oprd.0c00291.

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40

Hirasawa, Shun, Takashi Kikuchi, and Souichirou Kawazoe. "A Practical and Scalable Method for Manufacturing JAK Inhibitor ASP3627." Organic Process Research & Development 23, no. 11 (2019): 2378–87. http://dx.doi.org/10.1021/acs.oprd.9b00269.

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41

Greco, Carlo, Parth Kotak, Jeremy K. Gallegos, et al. "Scalable manufacturing system for bionspired twisted spiral artificial muscles (TSAMs)." Manufacturing Letters 26 (October 2020): 6–11. http://dx.doi.org/10.1016/j.mfglet.2020.08.009.

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42

Lee, B., D. Giroux, Y. Hashimura, et al. "New Scalable Manufacturing Platform for Shear-Sensitive Cell Therapy Products." Cytotherapy 18, no. 6 (2016): S140. http://dx.doi.org/10.1016/j.jcyt.2016.03.275.

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43

Adlerz, K., M. Trempel, J. A. Rowley, and T. Ahsan. "Increasing yield of msc-evs in scalable xeno-free manufacturing." Cytotherapy 21, no. 5 (2019): S58. http://dx.doi.org/10.1016/j.jcyt.2019.03.433.

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44

Xu, Zenghui, Chuanyin Shi, and Qijun Qian. "Scalable manufacturing methodologies for improving adeno-associated virus-based pharmaprojects." Chinese Science Bulletin 59, no. 16 (2014): 1845–55. http://dx.doi.org/10.1007/s11434-014-0197-6.

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45

Pawlas, Jan, Timo Nuijens, Jonas Persson, et al. "Sustainable, cost-efficient manufacturing of therapeutic peptides using chemo-enzymatic peptide synthesis (CEPS)." Green Chemistry 21, no. 23 (2019): 6451–67. http://dx.doi.org/10.1039/c9gc03600h.

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46

Malakooti, Mohammad H., and Christopher C. Bowland. "Editorial for the Special Issue on Advanced Fiber-Reinforced Polymer Composites." Journal of Composites Science 5, no. 9 (2021): 241. http://dx.doi.org/10.3390/jcs5090241.

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47

Vuković, Marko, Oliver Jorg, Mohammadamin Hosseinifard, and Gualtiero Fantoni. "Low-Cost Digitalization Solution through Scalable IIoT Prototypes." Applied Sciences 12, no. 17 (2022): 8571. http://dx.doi.org/10.3390/app12178571.

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Industry 4.0 is fast becoming a mainstream goal, and many companies are lining up to join the Fourth Industrial Revolution. Small and medium-sized enterprises, especially in the manufacturing industry, are the most heavily challenged in adopting new technology. One of the reasons why these enterprises are lagging behind is the motivation of the key personnel, the decision-makers. The factories in question often do not have a pressing need for advancing to Industry 4.0 and are wary of the risk in doing so. The authors present a rapid, low-cost prototyping solution for the manufacturing companies with legacy machinery intending to adopt the Industry 4.0 paradigm with a low-risk initial step. The legacy machines are retrofitted through the Industrial Internet of Things, making these machines both connectable and capable of providing data, thus enabling process monitoring. The machine chosen as the digitization target was not connectable, and the retrofit was extensive. The choice was made to present the benefits of digitization to the stakeholders quickly and effectively. Indeed, the solution provides immediate results within manufacturing industrial settings, with the ultimate goal being the digital transformation of the entire factory. This work presents an implementation cycle for digitizing an industrial broaching machine, supported by state-of-the-art literature analysis. The methodology utilized in this work is based on the well-known DMAIC strategy customized for the specifics of this case study.
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48

Vandevenne, Dennis, Paul-Armand Verhaegen, Simon Dewulf, and Joost R. Duflou. "A scalable approach for ideation in biologically inspired design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 29, no. 1 (2014): 19–31. http://dx.doi.org/10.1017/s0890060414000122.

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AbstractThis paper presents a bioinspiration approach that is able to scalably leverage the ever-growing body of biological information in natural-language format. The ideation tool AskNature, developed by the Biomimicry 3.8 Institute, is expanded with an algorithm for automated classification of biological strategies into the Biomimicry Taxonomy, a three-level, hierarchical information structure that organizes AskNature's database. In this way, the manual work entailed by the classification of biological strategies can be alleviated. Thus, the bottleneck is removed that currently prevents the integration of large numbers of biological strategies. To demonstrate the feasibility of building a scalable bioideation system, this paper presents tests that classify biological strategies from AskNature's reference database for those Biomimicry Taxonomy classes that currently hold sufficient reference documents.
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49

Li, Wu-Di, Jun-Hong Pu, Xing Zhao, et al. "Scalable fabrication of flexible piezoresistive pressure sensors based on occluded microstructures for subtle pressure and force waveform detection." Journal of Materials Chemistry C 8, no. 47 (2020): 16774–83. http://dx.doi.org/10.1039/d0tc03961f.

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50

Li, Xue, Xin He, Qiang Zhang, Yangyang Chang, and Meng Liu. "Graphene oxide-circular aptamer based colorimetric protein detection on bioactive paper." Analytical Methods 11, no. 34 (2019): 4328–33. http://dx.doi.org/10.1039/c9ay01060b.

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