Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations
المؤلفون المشاركون
Méndez, J. Flores
Ambrosio Lázaro, R. C.
Ruiz-Huerta, Leopoldo
Minquiz, Gustavo M.
Borja, Vicente
López-Parra, Marcelo
Ramírez-Reivich, Alejandro C.
Sánchez, Alejandro Shigeru Yamamoto
Pavon-Solana, María-Esther
Vazquez-Leal, Hector
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-27
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Very commonly, a mechanical workpiece manufactured industrially includes more than one machining operation.
Even more, it is a common activity of programmers, who make a decision in this regard every time a milling and drilling operation is performed.
This research is focused on better understanding the power behavior for face milling and drilling manufacturing operations, and the methodology followed was the design of experiments (DOEs) with the cutting parameters set in combination with toolpath evaluation available in commercial software, having as main goal to get a predictive power equation validated in two ways, linear or nonlinear, and understanding the energy consumption and the quality surface in face milling and final diameter in drilling.
The results show that it is possible to find difference in a power demand of 1.52 kW to 3.9 kW in the same workpiece, depending on the operations (face milling or drilling), cutting parameters, and toolpath chosen.
Additionally, the equations modelled showed acceptable values to predict the power, with p values higher than 0.05 which is the significance level for the nonlinear and linear equations with an R square predictive of 98.36.
Some conclusions established that optimization of the cutting parameters combined with toolpath strategies can represent an energy consumption optimization higher than 0.21% and the importance to try to find an energy consumption balance when a workpiece has different milling operations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Minquiz, Gustavo M.& Borja, Vicente& López-Parra, Marcelo& Ramírez-Reivich, Alejandro C.& Ruiz-Huerta, Leopoldo& Ambrosio Lázaro, R. C.…[et al.]. 2020. Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1201541
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Minquiz, Gustavo M.…[et al.]. Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1201541
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Minquiz, Gustavo M.& Borja, Vicente& López-Parra, Marcelo& Ramírez-Reivich, Alejandro C.& Ruiz-Huerta, Leopoldo& Ambrosio Lázaro, R. C.…[et al.]. Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1201541
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1201541
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