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Numerical Study of the Biomechanical Behavior of a 3D Printed Polymer Esophageal Stent in the Esophagus by BP Neural Network Algorithm 被引量:1
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作者 Guilin Wu Shenghua Huang +7 位作者 Tingting Liu Zhuoni Yang Yuesong Wu Guihong Wei Peng Yu Qilin Zhang Jun Feng Bo Zeng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第3期2709-2725,共17页
Esophageal disease is a common disorder of the digestive system that can severely affect the quality of life andprognosis of patients. Esophageal stenting is an effective treatment that has been widely used in clinica... Esophageal disease is a common disorder of the digestive system that can severely affect the quality of life andprognosis of patients. Esophageal stenting is an effective treatment that has been widely used in clinical practice.However, esophageal stents of different types and parameters have varying adaptability and effectiveness forpatients, and they need to be individually selected according to the patient’s specific situation. The purposeof this study was to provide a reference for clinical doctors to choose suitable esophageal stents. We used 3Dprinting technology to fabricate esophageal stents with different ratios of thermoplastic polyurethane (TPU)/(Poly-ε-caprolactone) PCL polymer, and established an artificial neural network model that could predict the radial forceof esophageal stents based on the content of TPU, PCL and print parameter. We selected three optimal ratios formechanical performance tests and evaluated the biomechanical effects of different ratios of stents on esophagealimplantation, swallowing, and stent migration processes through finite element numerical simulation and in vitrosimulation tests. The results showed that different ratios of polymer stents had different mechanical properties,affecting the effectiveness of stent expansion treatment and the possibility of postoperative complications of stentimplantation. 展开更多
关键词 Finite element method 3D printing polymer esophageal stent artificial neural network
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Strain and process engineering toward continuous industrial fermentation
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作者 Yufei Dong Ye Zhang +1 位作者 Dehua Liu Zhen Chen 《Frontiers of Chemical Science and Engineering》 SCIE EI CSCD 2023年第10期1336-1353,共18页
Most current biotechnology industries are based on batch or fed-batch fermentation processes,which often show low productivity and high production costs compared to chemical processes.To increase the economic competit... Most current biotechnology industries are based on batch or fed-batch fermentation processes,which often show low productivity and high production costs compared to chemical processes.To increase the economic competitiveness of biological processes,continuous fermentation technologies are being developed that offer significant advantages in comparison with batch/fed-batch fermentation processes,including:(1)removal of potential substrates and product inhibition,(2)prolonging the microbial exponential growth phase and enhancing productivity,and(3)avoiding repeated fermentation preparation and lowering operation and installation costs.However,several key challenges should be addressed for the industrial application of continuous fermentation processes,including(1)contamination of the fermentation system,(2)degeneration of strains,and(3)relatively low product titer.In this study,we reviewed and discussed metabolic engineering and synthetic biology strategies to address these issues. 展开更多
关键词 continuous fermentation PRODUCTIVITY CONTAMINATION strain degeneration metabolic engineering
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New Kinetics Equation for Stress Relaxation of Semi-crystalline Polymers below Glass Transition Temperature
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作者 Cheng Zhang Li-Hai Cai +2 位作者 Bao-Hua Guo Bing Miao Jun Xu 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2022年第12期1662-1669,I0010,共9页
The stress relaxation of semi-crystalline nylon 1010 cannot be fitted by the Kohlrausch-Williams-Watts formula when the experiments were performed at pre-yielding regime below the glass transition temperature.We study... The stress relaxation of semi-crystalline nylon 1010 cannot be fitted by the Kohlrausch-Williams-Watts formula when the experiments were performed at pre-yielding regime below the glass transition temperature.We study this problem and identify the two-step mechanism of stress relaxation.At short time scale,relaxation is fast,dominated by stress biased thermal fluctuation with a fixed short-range length scale(activation volume).At long time scale,relaxation is slow due to the emergence of a cooperative long-range length scale determined by the stress fluctuation.The cooperative length scale is proportional to the reciprocal of stress and the amplitude of stress fluctuation is the product of stress and activation volume.Based on this two-step mechanism,we propose a new kinetics equation to capture the stress relaxation effectively,where the short time relaxation is described by an Eyring-like local activation and the long-time relaxation is captured by a cooperative excitation process resorting to an extension from the random first order transition theory.Our equation fits the experimental data well and can serve as a model to guide the related experiments of relaxation processes in crystalline solids. 展开更多
关键词 Stress relaxation Semi-crystalline polymers Kohlrausch-Williams-Watts(KWW)equation Random first order transition(RFOT)theory
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