Neural Network Modeling of Cutting Force and Chip Thickness Ratio for Turning Aluminum Alloy 7075-T6
نویسندگان
چکیده
منابع مشابه
Development of an Artificial Neural Network Constitutive Model for Aluminum 7075 Alloy
Development of an accurate neuronal material model for aluminum alloys would facilitate better process control and parameter optimization in the aircraft industry. This research primarily attempts to design a connectionist constitutive model for aluminum 7075 alloy using multi-layer perceptrons. The backpropagation algorithm is used to train the designed network whose performance is then valida...
متن کاملscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
the effect of cutting speed on cutting force and surface quality in broaching of aluminum 7075
0
متن کاملPrediction of forging force and barreling behavior in isothermal hot forging of AlCuMgPb aluminum alloy using artificial neural network
In the present investigation, an artificial neural network (ANN) model is developed to predict the isothermal hot forging behavior of AlCuMgPb aluminum alloy. The inputs of the ANN are deformation temperature, frictional factor, ram velocity and displacement whereas the forging force, barreling parameter and final shape are considered as the output variable. The developed feed-forward back-prop...
متن کاملSurface Characterizations of Fretting Fatigue Damage in Aluminum Alloy 7075-T6 Clamped Joints: The Beneficial Role of Ni–P Coatings
This paper aims to characterize the surface damage as a consequence of fretting fatigue in aluminum alloy 7075-T6 plates in double-lap bolted joints through XRD, surface profilometry, and SEM analyses. The main focus was on the surface roughness and chemical phase composition of the damaged zone along with the identification of fretting fatigue crack initiations over the surface of the material...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Al-Khwarizmi Engineering Journal
سال: 2018
ISSN: 2312-0789,1818-1171
DOI: 10.22153/https://doi.org/10.22153/kej.2018.10.004