MindMesh's Finite Element Analysis (FEA) services help you enhance design robustness by performing virtual product design testing. From concept to completion, our service experts help you along every step of the way to evaluate the performance of the product design. We work with you to derive actionable insights about the product design, manufacturing, and in-service performance and provide you with incremental project updates, design guidance, and enhancement requirements. Upon project completion, you receive key findings, viable solution options, improvement advice, and simulation data along with a final report.
MindMesh Inc. took the knowledge gained from the calibration of elastomers (refer to Hyperelastic Material Calibration Case Study), to aid in well testing tool development using nonlinear FEA Analysis. Material calibration for deformation and stress relaxation was developed which in turn was used for well testing tool development. The process of well testing is to understand the fluid qualities in the well and well performance so that the production of the well can be measured. Although well testing is done frequently, testing wells downhole accurately needs further improvement, hence, the need for further development of the well testing tool. In this case, the client primarily used a method of well testing called a drawdown test, when the well pressure is measured while the rate is kept constant. Our role was to improve upon the performance of the tool, (Fig. 1) used for drawdown tests that makes a significant pressure differential and in turn improves overall well efficiency.
To determine what the stress and strain limits are for elastomers, MindMesh Inc. performed several calibration tests for hyperelastic material models. This analysis was very crucial in calibrating rubber material which is used daily in multiple industries and by consumers worldwide. There were several types of tests used during this analysis. The tests include simple tension strain (Fig. 1), simple compression strain, equal biaxial strain (Fig. 2), pure shear strain (Fig. 3), and volumetric compression. With this we were able to understand how the material deforms, evaluate and calibrate material properties and utilize them for nonlinear FEA analysis (Fig. 4 and 5). Understanding material properties allows us to interpret the deformation and modes of failure for parts or components developed with rubber-like materials. There is a lot of research in this realm, however it is not yet mainstream and therefore the results need to be interpreted from an engineering perspective especially for damage and failure.
MindMesh performed finite element analysis (FEA) to better understand the reamer performance when reamer drills through tortuous borehole. In this study, we compared borehole smoothness and reactive torque between two types of reamers (Figure 1). Our modeling process provided insight into reamer design and improved the reliability of reamer under downhole operating conditions.
