scholarly journals Concurrent Optimization and an Experimental Analysis of Face Milling Operation Parameters for Optimal Performance on Mild Steel Work Piece

2018 ◽  
Vol 6 (6) ◽  
pp. 1943-1948
Author(s):  
Ritesh Kumar Singh
Keyword(s):  
Mild Steel ◽  
Experimental Analysis ◽  
Face Milling ◽  
Optimal Performance ◽  
Work Piece ◽  
Steel Work ◽  
Concurrent Optimization ◽  
Milling Operation ◽  
Operation Parameters

Neural Network Modeling for Face Milling Operation

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
B. Sureshkumar ◽  
V. Vijayan ◽  
S. Dinesh ◽  
K. Rajaguru
Keyword(s):  
Neural Network ◽  
Network Models ◽  
Face Milling ◽  
Future Research ◽  
Neural Network Modeling ◽  
Depth Of Cut ◽  
Work Piece ◽  
Neural Network Models ◽  
Feed Force ◽  
Milling Operation

Milling operation is one of the important manufacturing processes in production industry. Study and analysis of milling process parameters such as spindle speed, feed rate and depth of cut are important for process planning engineers. The responses are temperature, surface roughness, machining time, feed force, thrust force and cutting force. The main aim of this study is to find out the effects of these parameters in face milling operation on Monel k 400 work piece materials with tungsten carbide insert. The theoretical investigation is carried out with neural network modelling and the 3-1-6 structure neural network models are considered. Developed neural network models show best agreement with experimental values. For same type of operation, result of these experiments shall be useful for future research purpose.

scholarly journals Influence of Bio-Oils as Cutting Fluids on Chip Formation and Tool Wear during Drilling Operation of Mild Steel

2019 ◽  
Vol 8 (2) ◽  
pp. 3328-3330
Keyword(s):  
Tool Wear ◽  
Mild Steel ◽  
Tool Life ◽  
Machining Process ◽  
Cutting Fluid ◽  
Work Piece ◽  
Cutting Fluids ◽  
Dry Cutting ◽  
Steel Work ◽  
On Chip

The importance of health and environment has forced Machining Industries to reduce the application of Petroleum-based cutting fluid. But to ease the machining process and to increase the tool life, cutting fluids must be used. Research has been done on vegetable oils as cutting fluids which is easy for disposal and does not affect the environment and the operator’s health [1] . This paper discusses the machinability and tool life during drilling of a mild steel work piece using Neem, Karanja, blends of 50%Neem-50%Karanja, 33.3%Neem-66.6%Karanja, 66.6%Neem-33.3%Karanja as cutting fluid. Results obtained using petroleum-based oil are compared with the results obtained by using above mentioned combination of oils and also with dry cutting conditions.

In-process tool wear and chip-form monitoring in face milling operation using acoustic emission.

1994 ◽  
Vol 44 (3-4) ◽  
pp. 207-214 ◽  
Author(s):  
Sunilkumar Kakade ◽  
L. Vijayaraghavan ◽  
R. Krishnamurthy
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Face Milling ◽  
Milling Operation

scholarly journals Simulating the effect of depth of cut and feed rate on the force components in face milling

2019 ◽  
Vol 9 (1) ◽  
pp. 65-72
Author(s):  
Mohammad Zaher Akkad ◽  
Felhő Csaba
Keyword(s):  
Feed Rate ◽  
Face Milling ◽  
Depth Of Cut ◽  
Third Wave ◽  
Cutting Depth ◽  
Milling Operation ◽  
The Face ◽  
Force Components ◽  
Cutting Processes ◽  
The Impact

This paper presents a study about the workpiece force components (Fx, Fy, Fz) changes in face milling, which results from changing the depth of cut and the feed rate values. The values of the three force components in the face milling operation were found through the FEA-software AdvantEdge by Third Wave Systems. This program is uniquely intended for modelling of cutting processes. Simulations were carried out within five different cutting depth of cut and feed rate, to compare the obtained values and find out the results of the impact of changes on the three force components.

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