مدل‌سازی هوشمند نیروی برش در فرآیند میکروفرزکاری استخوان توسط منطق فازی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، دانشکده مهندسی مکانیک، دانشگاه صنعتی اراک، اراک، ایران

2 دانشجوی دکتری، دانشکده مهندسی مکانیک، دانشگاه علم و صنعت، تهران، ایران

چکیده

میکروفرزکاری استخوان به‌­طور گسترده‌­ای در جراحی­‌های اورتوپدی، ستون فقرات، جمجمه، تعویض مفصل زانو و دندان­‌پزشکی جهت برش استخوان و ایجاد سوراخ در بافت به­‌کارگرفته می­‌شود. استفاده از ابزارهای با قطر کمتر در فرایند میکروفرزکاری استخوان در مقایسه با فرزکاری معمول باعث کاهش چشم­‌گیر نیرو و همچنین طول دوره درمانی می­‌گردد. در این مقاله، در قالب یک مطالعه تجربی، یک مدل هوشمند برای تقریب نیروی میکروفرزکاری استخوان بر اساس سیستم استنتاج فازی به دست آورده شده است. برای این منظور، ابتدا یک روش طراحی آزمایش برای استخراج یک دسته از آزمایش­‌های تجربی بکار گرفته شده ­است. سپس بر اساس نتایج آزمایش‌­های تجربی، بر اساس قابلیت تقریب سیستم­‌های فازی، یک مدل دقیق برای تقریب نیروی برش بر اساس مقادیر ورودی­‌های سرعت دورانی ابزار، نرخ پیشروی، قطر ابزار، عمق برش و جهت برش ایجاد شده­ است. با بررسی نتایج به‌دست‌آمده مشاهده می­‌شود که مدل فازی توانسته است با دقت بالایی نیروی برآیند فرایند میکروفرزکاری استخوان را بر اساس ورودی­‌های در نظر گرفته شده تقریب بزند؛ به­‌گونه‌­ای که درصد خطای مطلق و ضریب تعیین برای داده‌های بخش تست به ترتیب برابر با 22/11 درصد و 93/0 محاسبه شده است. با بهره‌گیری از داده­‌های این پژوهش جراحان با آگاهی کامل می­‌توانند بهترین مقادیر متغیرهای ورودی فرایند میکروفرزکاری را بدون نگرانی از ایجاد آسیب و ترک در بافت استخوان با حداکثر سرعت عمل ممکن تنظیم کنند.

کلیدواژه‌ها

عنوان مقاله [English]

Intelligent modeling of cutting force in bone micromilling process by fuzzy logic

نویسندگان [English]

  • Vahid Tahmasbi 1
  • Amir Hossein Rabiee 1
  • Reza Qasemi 2
  • Mahdi Qasemi 1
1 Department of Mechanical Engineering, Arak University of Technology, Arak, Iran
2 Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده [English]

Bone micromilling is widely used in orthopedic, spine, skull, knee joint replacement, and orthopedic surgeries to cut bone and make holes in tissue. The application of tools with a smaller diameter in the bone micromilling compared to conventional milling causes a significant reduction in force and also the length of the treatment period. In this article, in the form of an experimental study, an intelligent model for predicting bone micromilling force has been obtained based on the fuzzy inference system. For this purpose, first, an experiment design method has been used to extract a group of practical experiments. Then, based on the obtained results and approximation capability of fuzzy systems, an accurate model for predicting the cutting force has been established founded on the input values of tool rotation speed, feed rate, tool diameter, cutting depth and cutting direction. By examining the obtained results, it can be seen that the fuzzy model has been able to accurately approximate the resulting force of the bone micromilling process based on the considered inputs; The mean absolute percentage error and coefficient of determination for the data of the test section were calculated as 11.22% and 0.93%, respectively. Using the data of this research, surgeons with full knowledge can set the best values of the input variables of the micromilling process without worrying about causing damage and cracks in the bone tissue with the maximum possible operating speed.

کلیدواژه‌ها [English]

  • Micro Milling
  • Bone
  • Force Prediction
  • Fuzzy Logic

مراجع

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