Enhancing corner accuracy and machining quality in wire-EDM of In(690) using recirculating molybdenum wire: a hybrid machine learning and metaheuristic optimization approach

Key Points

• Improving corner accuracy directly enhances machining quality in wire-EDM processes, leading to more precise outcomes.
• The application of machine learning combined with metaheuristic optimization techniques boosts efficiency considerably in machining tasks.
• This analysis utilizes a hybrid approach to address challenges in wire-EDM of In(690) material, showcasing significant advancements in manufacturing.
• Implementing these techniques may enable broader applications in machining industries, emphasizing the need for continuous innovation.