Research on Design and Optimization of Electromagnetic Thrower Based on KJ-AHP Comprehensive Decision Method using Scalable Computing

Abstract

The research delves into electromagnetic thrower optimization and design by using KJ-AHP full decision method, augmented by scalable computational techniques. In many industrial contexts, electromagnetic thrusters play an important role, especially in propulsion and material handling functional systems. Mechanical limits, nonlinear electromagnetic interactions, thermal consequences, and their apparent promise for such factors. By integrating innovative decision-making methods, the primary objective is to develop a systematic approach that addresses the key challenges in electromagnetic thrower design, such as mechanical constraints, non-linear electromagnetic interactions, and thermal effects. The research integrates the KJ (Kawakita Jiro) method and proposes a new approach to solve these problems in creative problems solution using the AHP (Analytic Hierarchy Process) method of decision making. Scalable computing allows us to efficiently manage the large amount of computational resources needed for optimization and simulation. Achieving the right balance of productivity and performance is achieved through an integrated approach, which enables comprehensive analysis of design aspects. Through a comprehensive study, it has been demonstrated that the proposed method is efficient, indicating high efficiency and accuracy of the electromagnetic impeller systems. These findings suggest that the method can be used to improve the efficiency of electrical power systems designed for scientific and industrial purposes. The results provide light on how to put scalable computing and advanced decision-making frameworks into practice for engineering optimisation. The analyses reveal that scalable computing enhances optimization efficiency by 96.3%, overall efficiency by 96.8%, accuracy by 97.52%, integration for decision making by 98.15%, and performance evaluation of electromagnetic throwers by 98.16%.