Muhammad Hamza

Achieving high-performance machinery with exceptional productivity and efficiency, such as high-speed electric machines and heavy mobile equipment, requires a multidisciplinary approach. The design and development of such systems involve balancing complex mechanical, electromagnetic, thermal, and structural constraints, which often interact in ways that make traditional design methods resource-intensive and suboptimal. This research introduces an innovative inverse design methodology that redefines the design process by starting with desired performance targets (such as productivity, efficiency, stability, and durability) rather than predefined design variables. By working backward from these targets, the methodology leverages advanced optimization algorithms to identify and refine critical design parameters, ensuring operational constraints are met. High-fidelity simulations validate the approach, demonstrating its robustness and adaptability across various types of machinery. Moreover, the capability to tailor designs using effective and precise methods reduces the time-to-market and enhances overall productivity and operational efficiency, delivering greater value and performance from the customer’s perspective. It bridges disciplinary boundaries, optimizing machine performance for diverse industrial applications holistically. By addressing modern demands for sustainable, efficient, and versatile machinery, this research provides a transformative approach to innovation in engineering design.