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Optimization of Animal-Glue Binders for Casting Applications
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作者 Tianshu Wang Guoqing Sun +3 位作者 Shaojun Zhang Mingyu Wang Jixin Wang Yunwu Han 《Fluid Dynamics & Materials Processing》 EI 2023年第11期2923-2932,共10页
In typical metal foundry applications,sand casting is still the most used technology.The related binder plays a very important role as its performances can directly influence the quality of castings.Among many binders... In typical metal foundry applications,sand casting is still the most used technology.The related binder plays a very important role as its performances can directly influence the quality of castings.Among many binders,glues of animal origin have attracted much attention in recent years due to their reduced environmental impact.How-ever,they display some drawbacks such as the tendency to coagulate easily at room temperature and a relatively low strength.In this study,a novel gas-hardening casting binder was prepared using an animal glue and anhy-drous potassium carbonate as a hydrolyzing agent to avoid undesired agglomeration.Moreover,sodium pyropho-sphate and furfuryl alcohol were exploited as modifiers to obtain a binder with a high compressive strength.The best modification conditions,determined by means of an orthogonal design matrix approach,were 4 g of Na2CO3,sodium pyrophosphate,furfuryl alcohol and animal glue with a ratio of 4:12:100,at 85°C and with a duration of 115 min,respectively.The viscosity of the mixture obtained under these optimized conditions was 1250 mPa⋅s.The compressive strength of the binder,hardened by CO_(2) gas,was 4.00 MPa.Its gas evolution at 850°C was 15 ml⋅g-1,and its residual strength after 10 min calculation at 800°C was 0.01 MPa,which is high enough to meet the requirement of core-making in foundry.Moreover,after hydrolysis and further modification,animal glue and modifiers displayed a grafting reaction and an esterification reaction,respectively,which made the adhesive network denser and improved its thermal stability. 展开更多
关键词 Animal glue binder PHOSPHATE CO_(2)gas casting sand
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网联自动驾驶环境下基于马尔可夫链理论的混合交通流车队识别模型 被引量:1
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作者 丁深圳 陈旭梅 于雷 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第5期1521-1536,共16页
鉴于车队在城市道路信号交叉口通行时常被交叉口信号灯所打断,造成不必要的停车,致使交叉口通行能力下降、尾气排放增加以及燃油消耗升高,本文面向未来网联自动驾驶环境,基于马尔可夫链理论,构建了混合交通流下的车队识别模型。此外,本... 鉴于车队在城市道路信号交叉口通行时常被交叉口信号灯所打断,造成不必要的停车,致使交叉口通行能力下降、尾气排放增加以及燃油消耗升高,本文面向未来网联自动驾驶环境,基于马尔可夫链理论,构建了混合交通流下的车队识别模型。此外,本文借助能够实现L2级自动驾驶技术的特斯拉车辆,设计并组织实施了网联自动驾驶环境下的全样本交通流视频采集实验,并利用视频识别技术提取车辆轨迹数据。最后,利用实测数据和交通仿真软件Vissim,进行网联自动驾驶环境下的车队识别仿真实验。仿真结果表明,当网联自动驾驶车辆渗透率高于0.7时,车队识别率超过80%。另外,仿真结果还表明,车队识别位置同样影响车队识别率,例如在交叉口上游与下游分别进行车队识别时模型性能不同。本文所构建的车队识别模型能够为未来网联自动驾驶环境下的信号协调控制提供输入参数,以减少城市干线车队的不必要停车,进而提高城市交通运行效率。 展开更多
关键词 混合交通 网联自动驾驶车辆 马尔可夫链 车队识别 VISSIM仿真
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