Analytical method development and validation are the continuous and inter-dependent task associated with the research and development, quality control and quality assurance departments. Analytical procedures play a critical role in equivalence and risk assessment, management. It helps in establishment of product-specific acceptance criteria and stability of results. An effective analytical method development and its validation can provide significant improvements in precision and a reduction in bias errors. It can further help to avoid costly and time consuming exercises.
In the automotive industry, various simulation-based analysis methods have been suggested and applied to reduce the time and cost required to develop the engine structure to improve the performance of powertrain. This simulation is helpful to set the engine design concept in the initial phase of the powertrain development schedules.
Combining analytical and experimental methods in the upfront design and development stage has become a critical tool to cut down the vehicle product creation and process time.
An analytical method details the steps and techniques necessary to perform an analysis. Analytical methodology can provide
- Data for a given analytical problem
- Sensitivity Parameters
- Accuracy Factors
- Range of analysis
- Required precision
Overall it will the minimum requirements which essentially are the specifications of the method for the intended purpose. And with those info we can do the desired analyse in different matrices with surety and certainty.
At DEP we developed reliable physics based 1D & 3D CAE models for different complex powertrain subsystems. The powertrain system typically includes the engine and transmission (power plant), driveline, axle, and induction/exhaust subsystems. CAE models are developed, along with real time experiment calibration and simulation correlation.
Some of the major methods developed in DEP are:
- Turbocharger Performance Correlation:
Turbocharger performance analysed for mass flow rates and efficiencies with different turbo speeds and pressure ratios. Simulation results correlated within 5% tolerance with experimental data.
- Combustion Chamber – Flow through Cylinder :
The flow through the valves and the flow behaviour inside the cylinder was captured with PIV instrument. Flow behaviour observed with CFD analysis and flow coefficients were correlated for different inlet conditions. Design optimization proposal based CFD results