Trichloroethylene (TCE) is largely used in industries as a cleaning and degreasing solvent. TCE is a potential carcinogen and is known to cause organ damage when exposed to prolonged higher concentrations. Numerical simulation of fixed and fluidized bed adsorption of TCE can help in the development of efficient adsorption processes to prevent industrial workers in the vicinity from acute TCE exposure. In the present work, a parametric optimization based numerical experimentation algorithm is implemented by open-source computational solvers to model fixed and fluidized bed adsorption of trichloroethylene vapors on activated carbon. The algorithm optimizes four parameters pertaining to linear driving force (LDF) formulation of surface barrier and microporous diffusion. The optimized parameters were utilized to evaluate $\overline{\text{ζ}}$, a dimensionless number defined as the temporal and spatial average ratio of surface barrier diffusion resistance to microporous diffusion resistance. The average value of $\overline{\zeta }$ is 0.139 for fixed bed operation (u/u_mf = 0.7), 1.130 for fluidized bed operation (u/u_mf = 1), 4.436 for fluidized bed operation (u/u_mf = 1.5) and 6.317 for fluidized bed operation (u/u_mf = 2). Therefore, the dimensionless number $\overline{\zeta }$ may serve to predict the extent of change in amount adsorbed per unit adsorbent mass with change in fluidization velocity.

三氯乙烯 (TCE) 在工业中广泛用作清洁和脱脂溶剂。TCE 是一种潜在的致癌物质，并且在长期暴露于较高浓度时会导致器官损伤。TCE 固定床和流化床吸附的数值模拟有助于开发有效的吸附过程，以防止附近的工业工人急性接触 TCE。在目前的工作中，基于参数优化的数值实验算法通过开源计算求解器实现，以模拟活性炭上三氯乙烯蒸气的固定床和流化床吸附。该算法优化了与表面屏障和微孔扩散的线性驱动力 (LDF) 公式相关的四个参数。优化后的参数用于评估$\overline{\text{ζ}}$，定义为表面阻挡扩散阻力与微孔扩散阻力的时间和空间平均比率的无量纲数。的平均值$\overline{\zeta }$固定床操作为0.139 ( u / u _mf  =  0.7)，流化床操作为1.130 ( u / u _mf  =  1)，流化床操作为4.436 ( u / u _mf  =  1.5)，流化床操作为6.317 ( u / u _mf  =  2）。因此，无量纲数$\overline{\zeta }$ 可用于预测每单位吸附剂质量的吸附量随流化速度变化的变化程度。