Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling
المؤلفون المشاركون
Lu, Juan
Liao, Xiaoping
Chen, Kai
Zhang, Zhenkun
Li, Kang
Ma, Junyan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Micro-end milling is in common use of machining micro- and mesoscale products and is superior to other micro-machining processes in the manufacture of complex structures.
Cutting force is the most direct factor reflecting the processing state, the change of which is related to the workpiece surface quality, tool wear and machine vibration, and so on, which indicates that it is important to analyze and predict cutting forces during machining process.
In such problems, mechanistic models are frequently used for predicting machining forces and studying the effects of various process variables.
However, these mechanistic models are derived based on various engineering assumptions and approximations (such as the slip-line field theory).
As a result, the mechanistic models are generally less accurate.
To accurately predict cutting forces, the paper proposes two modified mechanistic models, modified mechanistic models I and II.
The modified mechanistic models are the integration of mathematical model based on Gaussian process (GP) adjustment model and mechanical model.
Two different models have been validated on micro-end-milling experimental measurement.
The mean absolute percentage errors of models I and II are 7.76% and 6.73%, respectively, while the original mechanistic model’s is 15.14%.
It is obvious that the modified models are in better agreement with experiment.
And model II performs better between the two modified mechanistic models.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liao, Xiaoping& Zhang, Zhenkun& Chen, Kai& Li, Kang& Ma, Junyan& Lu, Juan. 2019. Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1197019
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liao, Xiaoping…[et al.]. Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling. Mathematical Problems in Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1197019
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liao, Xiaoping& Zhang, Zhenkun& Chen, Kai& Li, Kang& Ma, Junyan& Lu, Juan. Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1197019
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197019
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر