Designing engine components poses significant challenges due to the long simulation times required to model complex thermal and mechanical loads, such as high-pressure forces, vibration, and fatigue. Accurate simulations are critical for ensuring component reliability and durability, but they are computationally intensive, leading to prolonged development timelines. In the fast-paced automotive industry, where meeting tight deadlines is essential, lengthy simulation processes create bottlenecks that hinder achieving optimal design outcomes on time. To address this, we utilize a Modified Extensible Lattice Sequence (MELS) approach combined with Design of Experiments (DOE). MELS generates low-discrepancy, space-filling sequences that ensure uniform coverage across the design space, minimizing clusters and gaps in experimental designs. This tool streamlines the simulation process, enabling engineers to explore broader design parameters and optimize components efficiently. By forecasting temperature and load effects more accurately, it reduces manual effort and accelerates design refinement, improving component durability and cutting development time, resulting in more cost-effective, high-quality designs.