چکیده مقاله
The use of artificial intelligence in tool selection for the machining process can create significant improvements in this industry One of the main applications of AI in machining tool selection is the use of machine learning algorithms that can detect complex patterns in machining operation data These algorithms can choose the best machining tools for each application by analyzing data such as pressure, speed, temperature, and correct form In addition, artificial intelligence can help improve optimization methods and tool path selection in CNC machines These improvements can lead to reduced production time and costs Overall, the use of artificial intelligence in machining tool selection can help improve efficiency, accuracy, and productivity in this industry
کلیدواژهها
نویسندگان
Saied Hafezi Shahneshin
Master of Mechanics of Manufacturing and Production , Construction Materials and Technologies Complex, Malek Ashtar University of Technology
Research Supervisor
Master of Mechanics of Manufacturing and Production , Construction Materials and Technologies Complex, Malek Ashtar University of Technology
شیوه ارجاع
Hafezi Shahneshin, Saied and Supervisor, Research,1402,A review of the application of artificial intelligence for tool selection in the machining process,The 9th International and 20th National Conference on Manufacturing Engineering,Tehran
ارائهشده در
مجموعه مقالات بیستمین همایش ملی و نهمین کنفرانس بین المللی مهندسی ساخت و تولید ایران2 اسفند 1402 · تهران