关于盐酸摩尔浓度计
盐酸摩尔浓度计用于测量罐体和管道中液体介质的摩尔浓度。摩尔浓度测量是产品生产工艺中重要的过程控制,音叉密度计可用作固含量或浓度值等其他质量控制参数的指示器。可满足用户对密度、浓度、固含量的多种
测量要求。
工作原理
SDT600-4B 系列在线密度、浓度计,是使用声波频率信号源对金属音叉进行激励,并使音叉处于中心频率下
自由振动,此频率与接触液体的密度有着相联对应关系,因而通过对频率的分析可测量液体的密度,再进行
温补可消除系统的温漂; 而浓度则根据对应液体密度和浓度的关系式可计算出20℃温度下的浓度值。
![](data:image/png;base64,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)
优点
完全一体化的 “即插即用,免维护”式数测
通过防爆认证
量,可用于监测和控制
连续测量
没有可动部件,维护量少
长杆型适于在开口罐和密封罐中使用
长杆的长度 可达 2 米
提供包括 316L、哈 C、锆等材质
允许存在少量固体和气泡
密度、标准密度或特殊计算值
(固体百分比、
浓度、比重等)、4–20 mA 输出。
不易受温度、压力影响
直插式密度计适于在高管道压力下工作
提供温度传感器
密度性能
精度:±0.003 g/c;±3.0 kg/m 3
工作范围
0 至 1.8 g/cc;0 至 1800 kg/m 3
重复性
±0.001 g/cc;±1 kg/m 3
过程温度影响(已校正)
±0.0005 g/cc;±0.5 kg/m 3
过程压力影响(已校正)
忽略不计
(1) 上述精度适用于标定范围0.6–1.5 g/cc(600–1500 kg/m 3) 。
(2) 液体的粘度 可达2000cP。
(3) 温度影响指的是因过程流体温度偏离工厂标定温度而引起的 测量偏差。
(4) 压力影响定义为:由于过程压力偏离标定压力而引起的传感器流量和密度敏感度的变化。
温度规格
过程温度
–20 °C 至 +100 °C
环境温度
–20 °C 至+85 °C
温度系数
O. 1kg/m 3 /℃(校正后)
内置温度传感器
PTlOO
结构材料
接液部件
不锈钢 316L、哈 C、锆
叉齿抛光
标准、电抛光
外壳
IP65,铝合金
重量
短杆
不锈钢材质为 3.5KG
长杆
决定于杆长度