Monitoring and neural network modeling of cutting temperature during turning hard steel
نویسندگان
چکیده
منابع مشابه
Response surface and neural network based predictive models of cutting temperature in hard turning
The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cutting speed, feed rate and material hardness. The number and orientation of the experimental trial...
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...
Predictions of Tool Wear in Hard Turning of AISI4140 Steel through Artificial Neural Network, Fuzzy Logic and Regression Models
The tool wear is an unavoidable phenomenon when using coated carbide tools during hard turning of hardened steels. This work focuses on the prediction of tool wear using regression analysis and artificial neural network (ANN).The work piece taken into consideration is AISI4140 steel hardened to 47 HRC. The models are developed from the results of experiments, which are carried out based on De...
متن کاملHard Turning Optimization Using Neural Network Modeling and Swarm Intelligence
In this paper, multi-objective optimization of hard turning has been reported. A neural network model was developed in order to model the surface roughness and tool wear characteristics of hard turning when CBN tools are used. Objective is to obtain optimum process parameters, which satisfies given limit, tool wear and surface roughness values and maximizes the productivity at the same time. A ...
متن کاملEffect of Cutting Parameters on Cutting Forces and MRR During Turning Hard Alloy Steel With and Without Coolant
This paper investigates the effect of different cutting parameters (cutting speed, feed rate, and depth of cut) on cutting force components and material removal rate (MRR) in dry and wet hard turning processes. The workpiece material, hardened alloy steel AISI 52100, was machined on a CNC lathe with coated carbide tool under different settings of cutting parameters. Three cutting parameters eac...
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: Thermal Science
سال: 2018
ISSN: 0354-9836,2334-7163
DOI: 10.2298/tsci170606210t