Academic literature on the topic 'Solvent Casting Technology'
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Journal articles on the topic "Solvent Casting Technology"
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Rasool, Muhammad Azam, та Ivo F. J. Vankelecom. "γ-Valerolactone as Bio-Based Solvent for Nanofiltration Membrane Preparation". Membranes 11, № 6 (2021): 418. http://dx.doi.org/10.3390/membranes11060418.
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γ-Valerolactone (GVL) was selected as a renewable green solvent to prepare membranes via the process of phase inversion. Water and ethanol were screened as sustainable non-solvents to prepare membranes for nanofiltration (NF). Scanning electron microscopy was applied to check the membrane morphology, while aqueous rose Bengal (RB) and magnesium sulphate (MgSO4) feed solutions were used to screen performance. Cellulose acetate (CA), polyimide (PI), cellulose triacetate (CTA), polyethersulfone (PES) and polysulfone (PSU) membranes were fine-tuned as materials for preparation of NF-membranes, either by selecting a suitable non-solvent for phase inversion or by increasing the polymer concentration in the casting solution. The best membranes were prepared with CTA in GVL using water as non-solvent: with increasing CTA concentration (10 wt% to 17.5 wt%) in the casting solution, permeance decreased from 15.9 to 5.5 L/m2·h·bar while RB rejection remained higher than 94%. The polymer solubilities in GVL were rationalized using Hansen solubility parameters, while membrane performances and morphologies were linked to viscosity measurements and cloudpoint determination of the casting solutions to better understand the kinetic and thermodynamic aspects of the phase inversion process.
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Xue, Jing, Jing Wang, Haofei Huang, Ming Wang, Yali Zhang, and Lijuan Zhang. "Feasibility of Processing Hot-Melt Pressure-Sensitive Adhesive (HMPSA) with Solvent in the Lab." Processes 9, no. 9 (2021): 1608. http://dx.doi.org/10.3390/pr9091608.
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Hot-melt pressure-sensitive adhesive (HMPSA) is an environmentally benign adhesive which is typically processed without solvent in industries. However, casting solution method is commonly used for experimental purposes in the lab for convenience. Therefore, seven types of solvent with different polarities, including toluene as the most commonly used solvent, were investigated in this work to study the feasibilities. Quick bond strength and holding power were tested with different types of solvents and different adhesive weight percent in the prepared solutions. Through viscosity measurement, thermal analysis, and compositional analysis, the correlation between the chosen solvents and adhesive performance was further explored. It was found that the differences in the obtained bond strength of HMPSA treated with a variety of solvents were due to physical reasons instead of chemical reactions, and a solvent with similar polarity to toluene (e.g., tetrachloride, octane) should be considered as an option because a similar polymer chain relaxation could be maintained as the original HMPSA without solvent treatment. In this study, the mechanism of choosing toluene as common solvent for HMPSA testing was analyzed, and the feasibility of optional solvents was discussed.
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Pletnev, Pеter, and Yury Nepochatov. "Film casting technology for aluminium oxide ceramic substrates." E3S Web of Conferences 460 (2023): 10032. http://dx.doi.org/10.1051/e3sconf/202346010032.
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The paper presents the technology of aluminum oxide ceramic substrates formation by film casting using "KEKO" line (Slovenia). Components of binder (dispersion phase) including polymeric bonding agent, plasticizer, dispersant, solvent are presented. The following binder components were used: polymeric binder - polyvinyl butyral, plasticizer - dibutyl phthalate, dispersant - fish oil and solvent - mixture of toluene and ethanol. The preparation regimes for the slurry, casting and lamination of the ceramic strip are given. According to the thermal analysis (DSC and TG) of raw corundum substrate the main mass of the removed binder occurs in the temperature range 240-450oC, the observed exo-effects in this temperature range are caused by successive processes of decomposition and removal of binder components. Based on the results of thermal analysis the regime of organic component removal from the "raw blanks-substrates" which provides for heating to a temperature of 500oC with a given rate of heating and cooling is determined. The technology of film-casting provides obtaining raw billet-substrate with a given density and the necessary technological strength. We experimentally set the firing mode of corundum substrates in vacuum (0.1-1.0 Pa) at a speed of temperature 100оС/h to 1450оС with an exposure time of 2 hours, then at a speed of 60оС/h to a maximum temperature of 1620-1660оС with an exposure time of 4 hours. The substrates were cooled at a rate of 100oC/h. The structure of the annealed substrates is represented by corundum crystals with sizes predominantly not more than 10 microns, intergrain porosity not more than 0.5%. Sintered products have high density and minimum number of defects.
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Gashi, S. T., T. Selimi, B. S. Thaçi, and A. Dylhasi. "Study of the optimization factors for preparation of heterogeneous reverse osmosis membranes." Water Supply 11, no. 6 (2011): 647–53. http://dx.doi.org/10.2166/ws.2011.056.
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The influence of the preparation factors such as casting solution composition, different methods of coal modification, evaporation time of solvent and their optimization on performance of cellulose acetate heterogeneous reverse osmosis membranes have been studied. Three types of membranes were made from a blend of cellulose acetate (CA) and coal by weight ratios 1:1.5, 1:1.75 and 1:2. The powdered coal was modified with nitric acid and aryl diazonium salts in acetonitrile medium at constant modification time. The membranes were prepared by phase inversion process from a casting solution of cellulose acetate-coal and magnesium perchlorate in acetone water mixture at varying evaporation time of solvent at constant temperature using the same gelation medium. The composition of raw and modified coals was examined by IR spectroscopy. Membranes obtained with a casting solution composition of cellulose acetate-coal in weight ratios of 1:1.5 and 1:1.75, modified coals and longer evaporation time of solvent showed the best performance.
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Yushkin, Alexey, Alexey Balynin, Mikhail Efimov, Konstantin Pochivalov, Inna Petrova, and Alexey Volkov. "Fabrication of Polyacrylonitrile UF Membranes by VIPS Method with Acetone as Co-Solvent." Membranes 12, no. 5 (2022): 523. http://dx.doi.org/10.3390/membranes12050523.
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For the first time, a systematic study was carried out of the replacement of the low-volatility solvents N-methyl-2-pyrrolidone (NMP) or dimethylsulfoxide (DMSO) with the high-volatility solvent acetone in the casting solution of polyacrylonitrile (PAN). The effect of acetone’s presence in the casting solution on the performance of ultrafiltration membranes fabricated via vapor-induced phase separation (VIPS) was investigated. It was possible to replace 40% of NMP and 50% of DMSO with acetone, which resulted in the reduction of the casting solution viscosity from 70.6 down to 41.3 Pa∙s (20% PAN, NMP), and from 68.3 down to 20.6 Pa∙s (20% PAN, DMSO). It was found that 20 min of exposure to water vapor (relative humidity—85%) was sufficient to govern the phase separation, which was mainly induced by the water vapor. Regardless of the casting solution composition (15 or 20% PAN; DMSO or NMP), all membranes formed via VIPS possessed a sponge-like porous structure. The addition of acetone to the casting solution allowed the reduction of the transport pore size from 35–48 down to 8.5–25.6, depending on the casting solution composition. By varying the acetone content at constant polymer concentration, it was possible to decrease the molecular weight cut-off (MWCO) from 69 to 10 kg/mol. Membranes prepared from 20% PAN solution in an acetone/DMSO mixture had the lowest MWCO of 10 kg/mol with a water permeance of 5.1 L/(m2·h·bar).
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Ma, Zhi Jun, Yuan Li, Jin Huo, and Bing Chuan Li. "Development of Lignite Wax Production Technology." Advanced Materials Research 826 (November 2013): 167–70. http://dx.doi.org/10.4028/www.scientific.net/amr.826.167.
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Lignite wax, an important chemical material, has good physical and chemical properties and is widely used in precision casting, wire and cable and other fields. This article briefly introduces the international and domestic markets of the lignite wax,and proposes the development direction of lignite wax production. Provide the basis for the production process through summary basic research data, and look for efficient solvent to improve yield and quality, and develop integrated production to realize comprehensive utilization of resources.
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Basha, Dudekula Chand. "A Brief Chronological Overview of Buccal Film Formulations." Chettinad Health City Medical Journal 11, no. 04 (2022): 53–60. http://dx.doi.org/10.24321/2278.2044.202241.
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The bioadhesive buccal film drug delivery technology that increases the safety, effectiveness, and stability of active pharmaceutical ingredients is the main focus of the current article. The buccal film is cutting-edge technology since it offers a better way to maximise treatment effectiveness. The medications that are used to increase bioavailability and have a high first-pass metabolism are ideal for this drug delivery strategy. Rolling, hot-melt extrusion, solid dispersion, solvent casting, or semi-solid casting can all be used to make Bioadhesive Buccal Films (BBF). The solvent casting method is the most popular of them. Organoleptic valuation, thickness, transparency, surface pH, moisture content, tensile strength, per cent elongation, folding endurance, swelling assets, drug content, and in vitro dissolution tests are a few of the mechanical assets that are assessed for the BBF. A small amount of material on earlier work on BBF has been provided in the article. This article will be useful for quick references to prior BBF attempts and guidance on how to assess them.
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Cigane, Urte, Arvydas Palevicius, and Giedrius Janusas. "A Free-Standing Chitosan Membrane Prepared by the Vibration-Assisted Solvent Casting Method." Micromachines 14, no. 7 (2023): 1419. http://dx.doi.org/10.3390/mi14071419.
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Much attention has been paid to the surface modification of artificial skin barriers for the treatment of skin tissue damage. Chitosan is one of the natural materials that could be characterized by its biocompatibility. A number of methods for the preparation of chitosan membranes have been described in scientific articles, including solvent casting methods. This study investigates an improved technology to produce chitosan membranes. Thus, chitosan membranes were prepared using a vibration-assisted solvent casting method. First, aqueous acetic acid was used to pretreat chitosan. Then, free-standing chitosan membranes were prepared by solvent casting on nanoporous anodized aluminum oxide (AAO) membrane templates, allowing for the solvent to evaporate. Using finite element methods, a study was obtained showing the influence of chitosan solutions of different concentrations on the fluid flow into nanopores using high-frequency excitation. The height of the nanopillars and the surface area of the chitosan membrane were also evaluated. In this study, the surface area of the chitosan membrane was found to increase by 15, 10 and 6 times compared to the original flat surface area. The newly produced nanopillared chitosan membranes will be applicable in the fabrication of skin barriers due to the longer nanopillars on their surface and the larger surface area.
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Dedvukaj, Angela, Peter Van den Mooter, and Ivo F. J. Vankelecom. "Solvent-Resistant UV-Cured Polysulfone Support Membranes Using a Green Solvent." Membranes 12, no. 1 (2021): 1. http://dx.doi.org/10.3390/membranes12010001.
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Solvent-resistant UV-cured supports consisting of a semi-interpenetrating network of polysulfone (PSf) and cross-linked poly-acrylate were successfully synthesized for the first time using an alternative, non-reprotoxic, and biodegradable solvent. Tamisolve® NxG is a high-boiling, dipolar aprotic solvent with solubility parameters similar to those of dimethylformamide (DMF) and N-methyl-2-pyrrolidone (NMP), making it an eco-friendly alternative. The support membranes, prepared via UV-curing followed by non-solvent-induced phase inversion, can serve as a universal solvent-resistant support for the synthesis of a broad set of membranes, for which the selective layer can be deposited from any solvent. Parameters such as UV irradiation time and intensity, as well as the concentrations of PSf, penta-acrylate, and photo-initiator in the casting solution were varied to obtain such supports. The characteristics of the resulting supports were investigated in terms of separation performance, hydrophobicity, porosity, degree of acrylate conversion, and pure water flux. The resulting membranes showed improved chemical resistance in solvents such as ethyl acetate, NMP, tetrahydrofuran (THF), and toluene. Solvent-resistant supports with different pore sizes were synthesized and used for the preparation of thin film composite (TFC) membranes to demonstrate their potential. Promising separation performances with Rose Bengal (RB) rejections up to 98% and water permeances up to 1.5 L m−2 h−1 bar−1 were reached with these TFC-membranes carrying a polyamide top layer synthesized via interfacial polymerization.
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Singh, S., A. Mittal, N. Gupta, N. Chauhan, and S. Alam. "Development and Evaluation of an Aqueous Polymeric Dispersion of Eudragit L 100-55 Using Emulsification Technology." International Journal of Nano Studies & Technology 2, no. 5 (2013): 33–39. https://doi.org/10.19070/2167-8685-130007.
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Aqueous polymer dispersions (APD) are preferred on environmental and safety grounds. APD offer several advantages over polymers dissolved in organic solvents including lower spraying viscosities, higher solids loading, higher spray rates, no solvent environmental, toxicity, or flammability issues, and reduced energy requirements. The purpose of this work is to prepare and characterize an aqueous-based pseudolatex dispersion of Eudragit L100-55 using emulsification technology with superior stability. The prepared APD is evaluated on the basis of organoleptic, physical, chemical and in-vitro drug release performance. APD film is prepared by casting method and evaluated. Coating is done over Diclofenac sodium tablet and In vitro drug release profile of APD coated tablet and organic coated tablet is studied and shows better release in case of APD as compared to market formulation and organic coating.
Book chapters on the topic "Solvent Casting Technology"
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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_8-1.
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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production efficiency enhancement is given. The stages are analyzed and communal challenges are elaborated. The used approaches include both physically motivated surrogate modeling as well as the advanced use of machine learning technologies. Apt research is depicted for each stage based on demonstrator work for diverse production technologies, among them high-pressure die casting, surface engineering, plastics injection molding, open-die forging, and automated tape placement. Finally, a holistic and general framework is illustrated covering the main concepts regarding the transfer of mature models into production environments on the example of laser technologies.Increasing customer requirements regarding process stability, transparency and product quality as well as desired high production efficiency in diverse manufacturing processes pose high demands on production technologies. The further development of digital support systems for manufacturing technologies can contribute to meet these demands in various production settings. Especially for discontinuous production, such as injection molding and laser cutting, the joint research for different technologies helps to identify common challenges, ranging from problem identification to knowledge perpetuation after successfully installing digital tools. Workstream CRD-B2.II “Discontinuous Production” confronts this research task by use case-based joint development of transferable methods. Based on the joint definition of a standard pipeline to solve problems with digital support, various stages of this pipeline, such as data generation and collection, model training, optimization, and the development and deployment of assistance systems are actively being researched. Regarding data generation, e.g., for the high-pressure die-casting process, data acquisition and extraction approaches for machines and production lines using OPC UA are investigated to get detailed process insights. For diverse discontinuous processes and use cases, relevant production data is not directly available in sufficient quality and needs to be preprocessed. For vision systems, ptychographic methods may improve recorded data by enhancing the picture sharpness to enable the usage of inline or low-cost equipment to detect small defects. Further down the pipeline, several research activities concern the domain-specific model training and optimization tasks. Within the realm of surface technologies, machine learning is applied to predict process behavior, e.g., by predicting the particle properties in plasma spraying process or plasma intensities in the physical vapor deposition process. The injection molding process can also be modeled by data-based approaches. The modeling efficiency based on the used amount of data can furthermore be effectively reduced by using transfer learning to transfer knowledge stored in artificial neural networks from one process to the next. Successful modeling approaches can then be transferred prototypically into production. On the examples of vision-based defect classification in the tape-laying process and a process optimization assistance system in open-die forging, the realization of prototypical support systems is demonstrated. Once mature, research results and consequent digital services must be made available for integrated usage in specific production settings using relevant architecture. By the example of a microservice-based infrastructure for laser technology, a suitable and flexible implementation of a service framework is realized. The connectivity to production assets is guaranteed by state-of-the-art communication protocols. This chapter illustrates the state of research for use-case-driven development of joint approaches.
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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_8.
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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production efficiency enhancement is given. The stages are analyzed and communal challenges are elaborated. The used approaches include both physically motivated surrogate modeling as well as the advanced use of machine learning technologies. Apt research is depicted for each stage based on demonstrator work for diverse production technologies, among them high-pressure die casting, surface engineering, plastics injection molding, open-die forging, and automated tape placement. Finally, a holistic and general framework is illustrated covering the main concepts regarding the transfer of mature models into production environments on the example of laser technologies.Increasing customer requirements regarding process stability, transparency and product quality as well as desired high production efficiency in diverse manufacturing processes pose high demands on production technologies. The further development of digital support systems for manufacturing technologies can contribute to meet these demands in various production settings. Especially for discontinuous production, such as injection molding and laser cutting, the joint research for different technologies helps to identify common challenges, ranging from problem identification to knowledge perpetuation after successfully installing digital tools. Workstream CRD-B2.II “Discontinuous Production” confronts this research task by use case-based joint development of transferable methods. Based on the joint definition of a standard pipeline to solve problems with digital support, various stages of this pipeline, such as data generation and collection, model training, optimization, and the development and deployment of assistance systems are actively being researched. Regarding data generation, e.g., for the high-pressure die-casting process, data acquisition and extraction approaches for machines and production lines using OPC UA are investigated to get detailed process insights. For diverse discontinuous processes and use cases, relevant production data is not directly available in sufficient quality and needs to be preprocessed. For vision systems, ptychographic methods may improve recorded data by enhancing the picture sharpness to enable the usage of inline or low-cost equipment to detect small defects. Further down the pipeline, several research activities concern the domain-specific model training and optimization tasks. Within the realm of surface technologies, machine learning is applied to predict process behavior, e.g., by predicting the particle properties in plasma spraying process or plasma intensities in the physical vapor deposition process. The injection molding process can also be modeled by data-based approaches. The modeling efficiency based on the used amount of data can furthermore be effectively reduced by using transfer learning to transfer knowledge stored in artificial neural networks from one process to the next. Successful modeling approaches can then be transferred prototypically into production. On the examples of vision-based defect classification in the tape-laying process and a process optimization assistance system in open-die forging, the realization of prototypical support systems is demonstrated. Once mature, research results and consequent digital services must be made available for integrated usage in specific production settings using relevant architecture. By the example of a microservice-based infrastructure for laser technology, a suitable and flexible implementation of a service framework is realized. The connectivity to production assets is guaranteed by state-of-the-art communication protocols. This chapter illustrates the state of research for use-case-driven development of joint approaches.
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"Engineering of Gray Iron Castings." In Iron and Steel Castings Engineering Guide. ASM International, 2022. http://dx.doi.org/10.31399/asm.tb.isceg.t59320103.
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Abstract This chapter covers mechanical properties, microstructures, chemical compositions, manufacturing processes, and engineering of gating practices for several applications of gray, white, and alloyed cast irons. It begins with a description of material standards, followed by a section providing information on the practice of stress relieving. Next, the chapter details various ways of eliminating slag entrainment while designing gating and venting systems. Several factors related to the establishment of the optimum pouring rate and time are then covered. Further, the chapter discusses the technology of unalloyed or low-alloyed gray iron castings and white iron and high-alloyed cast irons. Finally, it describes the casting defects that are associated with cast iron and the processes involved in solving these defects. The article includes a number of figures illustrating the topics discussed.
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"Engineering Ductile Iron Castings." In Iron and Steel Castings Engineering Guide. ASM International, 2022. http://dx.doi.org/10.31399/asm.tb.isceg.t59320163.
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Abstract Ductile iron has far superior mechanical properties compared to gray iron as well as significantly improved castability and attractive cost savings compared to cast steel. This chapter begins with information on graphite morphology and matrix type. It then discusses the advantages and applications of ductile iron. Next, the effects of various factors on the grades, chemistry, matrix, and mechanical properties of ductile iron are covered. This is followed by a section detailing the ductile iron treatment methods and the quality control methods used. Guidelines for gating and feeder design are then provided. Further, the chapter addresses the technology of ductile iron castings, including the performance and geometric attributes, molding and core-making processes used, material grades, mechanical properties, and chemical compositions of a few applications. Finally, it describes ductile iron casting defects and presents practical cases of problem-solving.
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Zeng, Yayuqiong, Yongqiang Zhao, Zhiyuan Zheng, and Huanxin Chen. "Research on a New Type of Prefabricated Laminated Board External Attachment Tool." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde240986.
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In recent years, laminated floor has been widely used in prefabricated buildings. Due to the limitation of the current construction technology of prefabricated layer and cast-in-place layer, the laminated floor is too thick as a whole. This problem is expected to be solved by seeking a kind of laminated board external tool technology and efficient construction technology. In this paper, the rigidity and bearing capacity of the prefabricated bottom plate are improved by using the external section steel technology, so as to reduce the thickness of the prefabricated bottom plate and the castin layer. The feasibility is verified from two aspects of technical principle and technology, and the technical advantages and disadvantages of the process are analyzed, including economic benefits, time costs, social benefits and technical difficulties. It is feasible to improve the stiffness and bearing capacity of the prefabricated bottom plate by using the technology of external section steel, and to ensure the force of the prefabricated bottom plate in the construction and demudding stage theoretically. From the technical process, the use of prefabricated bottom plate attached steel technology has increased the steps in the factory production process, increased the transportation times and transportation risks in the storage yard transportation, but reduced the workload in the construction stage, and the overall process is feasible.
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Alverson Dale C., Jacobs Joshua, Saland Linda, et al. "Distributed Interactive Virtual Environments for Collaborative Experiential Learning and Training Independent of Distance over Internet2." In Studies in Health Technology and Informatics. IOS Press, 2004. https://doi.org/10.3233/978-1-60750-942-4-7.
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Medical knowledge and skills essential for tomorrow’s healthcare professionals continue to change faster than ever before creating new demands in medical education. Project TOUCH (Telehealth Outreach for Unified Community Health) has been developing methods to enhance learning by coupling innovations in medical education with advanced technology in high performance computing and next generation Internet2 embedded in virtual reality environments (VRE), artificial intelligence and experiential active learning. Simulations have been used in education and training to allow learners to make mistakes safely in lieu of real-life situations, learn from those mistakes and ultimately improve performance by subsequent avoidance of those mistakes. Distributed virtual interactive environments are used over distance to enable learning and participation in dynamic, problem-based, clinical, artificial intelligence rules-based, virtual simulations. The virtual reality patient is programmed to dynamically change over time and respond to the manipulations by the learner. Participants are fully immersed within the VRE platform using a head-mounted display and tracker system. Navigation, locomotion and handling of objects are accomplished using a joy-wand. Distribution is managed via the Internet2 Access Grid using point-to-point or multi-casting connectivity through which the participants can interact. Medical students in Hawaii and New Mexico (NM) participated collaboratively in problem solving and managing of a simulated patient with a closed head injury in VRE; dividing tasks, handing off objects, and functioning as a team. Students stated that opportunities to make mistakes and repeat actions in the VRE were extremely helpful in learning specific principles. VRE created higher performance expectations and some anxiety among VRE users. VRE orientation was adequate but students needed time to adapt and practice inorder to improve efficiency. This was also demonstrated successfully between Western Australia and UNM. We successfully demonstrated the ability to fully immerse participants in a distributed virtual environment independent of distance for collaborative team interaction in medical simulation designed for education and training. The ability to make mistakes in a safe environment is well received by students and has a positive impact on their understanding, as well as memory of the principles involved in correcting those mistakes. Bringing people together as virtual teams for interactive experiential learning and collaborative training, independent of distance, provides a platform for distributed “just-in-time” training, performance assessment and credentialing. Further validation is necessary to determine the potential value of the distributed VRE in knowledge transfer, improved future performance and should entail training participants to competence in using these tools.
Conference papers on the topic "Solvent Casting Technology"
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Ali, Fawad, and Mohammad Albakri. "Smart Material Optimization: Exploring the Influence of Experimental Parameters on PVDF Crystalline Structure." In ASME 2024 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/smasis2024-140347.
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Abstract Advancements in technology, particularly in the development of smart materials, offer promising prospects for sustainable solutions. These materials, known for their responsiveness to external stimuli, span various fields such as healthcare and electronics. Polyvinylidene Fluoride (PVDF) is notable for its piezoelectric properties, crucial in sensors and energy devices. PVDF crystallizes in different phases, with the β phase being particularly significant for its piezoelectric behavior. This study examines the influence of annealing temperature on PVDF’s crystalline structure. PVDF films were fabricated through solvent casting by dissolving PVDF granules in dimethyl sulfoxide (DMSO) at 60 °C by mechanical mixing at 400 rpm for 5 hours, followed by casting on glass. The films were then subjected to various annealing temperatures i-e RT, 80 °C and 100 °C. X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FTIR) were employed for characterization. Results reveal a notable correlation between processing temperature and PVDF’s crystalline phase, with higher temperatures favoring an increase in the β phase content. However, careful optimization of temperature conditions is essential to avoid undesired phase transitions that may compromise performance. This study underscores the importance of processing parameters to fully harness PVDF’s potential in smart material applications.
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Beyler Çiğil, Aslı. "Biobased intelligent packaging application." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p40.
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Changes in consumer preferences in order to reach safe food have led to innovations in packaging technologies. Intelligent and active packaging is a constantly developed packaging technology that plans to offer safer and higher quality products. Active packaging refers to the inclusion of additives in the package in order to maintain and / or extend shelf life and product quality. Intelligent systems, on the other hand, are systems that monitor the status of packaged food during this entire period to provide information about the quality of the packaged during storage and transportation. The aim of this study is to produce a completely natural intelligent packaging material using rosehip extract and biopolymer, which is a substance that naturally changes color with pH. In this study, cellulose acetate butyrate biobased films containing different rates (1, 2.5, 5, 10 wt%) of rosehip extract were produced by solvent casting method. The chemical structure the rosehip containing biobased film and blank biobased film were characterized by ATR-FTIR. The transparency of prepared five different films were determined by UV spectroscopy. The color characteristic of blank and rosehip containing films measured with spectrophotometer. Surface energy of all films and contact angles were determined with goniometer. Biobased films were printed and printability parameters such as color, gloss, contact angle, surface tension were examined. It is concluded that blank biobased film is colorless, transparent and all biobased films have good printability. It was determined that the amount of rosehip extract increased the color change visibly. The biobased films obtained are pink in acidic medium and yellow-green in alkaline medium. The results prove that biobased film produced with rosehip extract and cellulose acetate butyrate can be used in intelligent packaging applications.
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Siddique, Zahed, Mrinal C. Saha, Firas Akasheh, Shaiful Arif, Bipul Barua, and Keith Hurdelbrink. "Scenario-Based Learning Environment to Support Peer-Learning." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70698.
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It is well documented that students learn more effectively when they are actively involved in the learning process, and interacting with peers. Interactive scenario-based education is a novel concept expected to stimulate active learning and provide a peer-learning experience. In this paper we present Create your Scenario Interactively (CSI) module, which is an interactive storybook-like learning tool composed of interactive storyline, 2D/3D visualization, simulation, and state-of-the-art interaction technology. The CSI method allows peer-interactions and prepares students to solve open-ended problems. The CSI module has been developed for metal casting and implemented in manufacturing engineering courses at the University of Oklahoma and Tuskegee University. In this paper, we discuss the impact of the CSI on students’ learning in manufacturing engineering education. Our preliminary results suggest that a majority of the students feels that the CSI module is very effective in keeping them engaged. We also analyze the effect of peer-learning to develop critical thinking and solve design problems. The details of the CSI module, implementation details, and assessment results are discussed in the paper.
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Ramachandran, Madhumitha, Zahed Siddique, Firas Akasheh, and Gül E. Okudan Kremer. "Effects of Technology Assisted Flat Learning Environment for a Design Project at a Historically Black University." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67558.
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Teaching to Learn (TeatoL) is a flat learning environment where peer-to-peer information exchange has been demonstrated to bridge student learning gaps. Within TeatoL, we integrate and expand peer-to-peer knowledge exchange facilitated by technology, in order to enhance the learning of engineering graduates, using an open-ended authentic life problem in design for manufacturing. One of the main objectives for developing TeatoL was to improve the interest and efficacy of underrepresented minority (URM) students in online engineering courses. In this paper, we present our TeatoL implementation at Tuskegee University (TU), to assess the effectiveness of TeatoL in improving student learning and in enhancing ill-structured problem solving skills of URM students. The participants in the learning environment were given an open design problem related to casting process. A short lecture about 35 minutes (Phase 0) was given and then each student team created and uploaded an instructional material (video) on their approach for solving the open-ended problem using computers and mobile phones (Phase I). The students then critically evaluated and posted feedbacks on these peer videos (Phase II). The final step of the process involved students writing a short report on their modified problem solving process and then applied the process to the same open-ended problem (Phase III). The students used comments from peers and information from other videos to modify and improve their approaches. Student learning in all three phases (Phase I through III) was assessed to understand the effects of different modes of learning in TeatoL. Paired t-test, regression and correlation analysis were used to determine the learning gains and how learning happens in a flat learning environment. Paired t-test analysis showed that there were significant learning gains from peer information exchange in TeatoL. Regression and Correlation analysis suggests that number of in-depth comments exchanged during Phase II depends on the initial level of knowledge; and learning gains of students depend on the meaningful comments provided by their peers. The results suggest that, in an online environment, peer-to-peer information exchange in the form of feedback can be particularly useful to attract, retain and train URM students as well as academically underprepared students.
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Liu, Jong-Shang, Douglas X. Zhu, Bryon Lew, and Aaron Daniel Rodriguez. "Aerodynamic and Mechanical Analyses on Manufacturing Variations of a Turbine Blade Row." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75536.
Full textAbstract:
Typical turbine blade design systems are based on parametric studies and engineering experience. Best practices use feedback from manufactured hardware to additionally create producible designs and establish tolerances. Often there is a large gap in understanding of true hardware variation and the ability to describe and analyze it without over simplification. Previously, hardware inspections that feed analyses were limited based on Coordinate Measurement Machines (CMM) point inspection, optical measurements or gages designed to measure specific features. Those details were input into parametric models in an attempt to quantify the impact of hardware variation. Each measurement method has its limitations including accuracy and methodology which can affect the evaluation results. With the advent of 3D scanning, the complex 3D nature of airfoil designs can be described accurately with minimal simplification or assumptions. Actual hardware can be analyzed and assessed for design requirement compliance. In this study, 3D structured light inspection technology is used to assess aerodynamic performance and mechanical durability variation on a statistical sample of actual production hardware. A Honeywell designed auxiliary power unit second stage uncooled turbine rotor was used as a test case for this study. Thirty-five (35) blade castings randomly selected from three different casting mold lots were scanned using structured light to capture manufacturing process variation. The 3D scanning was completed using controls and robust scanning techniques certified for metrology use. Scans were assessed according to manufacturing requirements and correlated to aerodynamic and mechanical requirements using nominal machining geometry based on datum alignments. Analyses were performed using STAR-CCM+ for aerodynamic performance and ANSYS for mechanical durability. The designed nominal geometry was used as a baseline for comparison. HEEDS was used to automate the aerodynamic analysis process — replacing the baseline model with the scanned data, merging the new geometry with the base model, meshing, applying boundary conditions, and solving in remote Linux clusters. The automation process achieved a significant reduction in cycle time from several weeks to a few days. Similarly, the same structured light scan data was used to evaluate mechanical durability in ANSYS. Scan data was aligned to machining datums, boolean cut with nominal CAD machining geometry and directly converted to solid models using SpaceClaim. The solid model was meshed in ANSYS and merged onto the baseline FEA model for solving. Macros were used to automate the analysis process of each part scan and output stresses at critical locations for durability assessment. Using a combination of analytical tools and actual scan hardware, the impact of manufacturing variation could be understood. Integrating scan data directly to analysis reduces engineering assumptions and gives a better understanding of reality.
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Al Balushi, H. M., M. Al Mahrouqi, and J. Al-Shaaili. "Challenges in Gas Injection Compressor Foundation Design and Construction." In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24661-ms.
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Abstract This paper presents a case study of the challenges encountered during the design and construction of a GIC foundation at a PDO Gathering Station and the innovative solutions developed to address these challenges, ensuring the project's success. The compressor foundation block was modelled and analysed using STAAD PRO FEM software. SOLID Finite element elements discretized the FEM model for accurate stress analysis. A preliminary analysis determined the necessary footprint for the compressor and its associated ancillary elements, defining the shade structure's extent and orientation. Initial dynamic parameters for foundation analysis were obtained from available literature and a decade-old soil investigation report from a nearby location. The engineering team collaborated with a consultant to correlate static-to-dynamic soil parameters for initial sizing, with the caveat that a detailed geotechnical investigation would be conducted within the new compressor's footprint. The borehole investigation revealed lower than expected dynamic parameter values, necessitating modifications to the foundation design. To avoid resonance between the foundation structure and the soil below, a thicker backfill soil layer was placed below the compressor foundation. Time constraints led to a single pour for the entire compressor foundation, requiring a detailed constructability review involving various stakeholders. The engineering and construction teams successfully completed the GIC compressor foundation casting through unprecedented collaboration, safely and within the required timeframe. By adjusting the foundation's mass and geometry and providing a soil raft below, dynamic stability was maintained, and resonance avoided. The single concrete pour, equivalent to 306 m3 or 38concrete transit mixers, was a significant accomplishment, completed in 22 hours, avoiding additional efforts required for a two-stage pour. Throughout the project, the teams demonstrated the importance of creative problem-solving, collaboration, and effective project management in complex foundation projects within the oil and gas industry. The innovative solutions developed in this project have significant implications for similar foundation projects in the oil and gas industry. The use of soil stabilization techniques, advanced foundation design, customized equipment for site access, and collaboration among stakeholders can help overcome geotechnical constraints and expedite project delivery. The project highlights the benefits of using creative problem-solving, collaboration, and effective project management in complex foundation projects. Additionally, the successful execution of a single concrete pour for the entire foundation serves as a valuable learning experience for future projects, demonstrating the potential for efficient construction methods and time-saving measures without compromising safety or quality.