Parameter optimization of coriolis mass flow meter in laminar flow regime using Doe-Taguchi method
1Department of Mechanical Engineering, Late G.N. Sapkal College of Engineering, Nashik, Maharashtra, 422212, India
2Department of Mechanical Engineering, MVPS’s KBT College of Engineering, Nashik, Maharashtra, 422002, India
3Department of Mechanical Engineering, Cusrow Wadia Institute of Technology, Pune, Maharashtra, 411001, India
4Department of Mechanical Engineering, Pune Vidyarthi Griha's College of Engineering and Technology, Pune, Maharashtra,422004, India
5Department of Mechanical Engineering, MVPS’s KBT College of Engineering, Nashik, Maharashtra, 422002, India
J Ther Eng 2023; 4(9): 1026-1040 DOI: 10.18186/thermal.1335677
Full Text PDF

Abstract

The paper outlines the progression of a mathematical model using the Taguchi approach to analyze the performance of a Coriolis mass flow meter (CMFM). The sensor position, exci-tation frequency, and flow rate parameters were optimized using the Taguchi method for the meter’s maximum time-lag output. An orthogonal array of experiments was designed, and the time lag results were obtained for two tube configurations (viz. Omega and Diamond) and parameter levels. The obtained data was analyzed using analysis of variance (ANOVA) to understand the relationship between the variables and the time lag. The results showed that the Omega tube configuration exhibited a lower percentage error compared to the Diamond tube configuration. Additionally, an increase in flow rate led to a decrease in the error. The regression models fitted the experimental data well, with high R2 values indicating a good fit. The ANOVA showed the factors’ importance in affecting the time lag and the levels of interac-tion between the best individual parameters for maximizing the outcome. The most important factors affecting the Omega and Diamond tube configurations’ maximum performance have been identified as the flow rate and sensor position, respectively. This study offers a system-atic method for optimizing sensor parameters and provides light on how CMFMs behave in laminar flow. The experimental setup and mathematical model also serve as a basis for future research and advancements in CMFM design and functionality.