Multi-Response Optimization Analysis of the Milling Process of Asphalt Layer Based on the Numerical Evaluation of Cutting Regime Parameters

The present study aimed to optimize the process parameters (milling depth and advanced speed) for an asphalt milling operation using a multi-response approach based on Taguchi design of experiments (DOE) Grey Relational Analysis (GRA). Nine simulations tests were conducted Discrete Element Method (DEM) in order determine forces acting cutting tooth support tip. considered performance characteristics (smaller is better category) chip section area (larger category). A Grade (GRG) was determined from GRA, allowing identify optimal parameter levels with multiple characteristics. It found that analysis are 200 mm speed 30 mm/min. Furthermore, variance (ANOVA) used most significant factor influencing results revealed dominant affecting resultant force depth, while main speed. Optimizing efficiency essential machining operations. key this direction comprehending interplay between removal forces. This understanding fundamental achieving increased productivity, cost-effectiveness, extended tool lifespan during process.