Springer - Computational Optimization of Internal Combustion Engines

Advance your understanding of modern engine development with this technical resource from Springer. This book provides a deep look into the current state of the art regarding computational models and optimization methods used in the field of internal combustion engines. By focusing on practical applications of multi-dimensional computational fluid mechanics (CFD) tools, the text offers a clear pathway for studying complex engine processes. It also integrates the use of genetic algorithms to improve optimization workflows. This makes it a valuable asset for researchers and engineers looking to master the computational techniques required for high-level engine design and performance tuning.