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Giriraj, B.
- Adaptive Cooling System Using LabVIEW Program to Minimize Thermal Deformation of High Speed Spindle
Abstract Views :211 |
PDF Views:3
Authors
Affiliations
1 Mechanical Engineering Department, PSG College of Technology, Coimbatore – 641004, IN
1 Mechanical Engineering Department, PSG College of Technology, Coimbatore – 641004, IN
Source
Programmable Device Circuits and Systems, Vol 3, No 13 (2011), Pagination: 728-732Abstract
When power and speed increase, the spindle thermal growth also becomes more important. Cutting-edge technology for a spindle design strongly requires a high rotating speed and a low thermal deformation of the spindle system, because the spindle for a machine tool must be sufficiently stiff to minimize axial and radial displacement according to the external force. This paper describes a adaptive cooling system applied to the spindle of a NC machining centre using LabVIEW software. A large number of tests were carried out with varying sensor location, spindle rotating speed. Measurements were performed in real industrial environment and thermal deformation control of high speed spindle has been proposed. In the proposed method, the flowrate of supply coolant is controlled by varying the speed of coolant supply pump. The speed of pump depends on the temperature of spindle. This closed loop system maintains the spindle temperature to minimize the thermal deformation. The performance of the system developed has been evaluated through a series of actual experiments.Keywords
Condition Monitoring, Adaptive Cooling, High Speed Spindle.- Online Tool Wear Monitoring of End Milling Cutters During High Speed Machining
Abstract Views :166 |
PDF Views:0
In this paper, the acoustic emission (AE) signals generated during high speed milling of aluminium using Titanium Aluminium Nitride (TiAIN) coated two flute end milling cutter is analyzed. The ischolar_main mean square values of the acquired signals are then correlated with the tool wear measured using Toolmaker's microscope. Finally, a relation between the tool wear and AE signal is established which is used for on-line tool wear monitoring, using regression and LabVIEW software.
Authors
Affiliations
1 Department of Mechanical Engineering, PSG College of Technology, Coimbatore, IN
1 Department of Mechanical Engineering, PSG College of Technology, Coimbatore, IN
Source
Manufacturing Technology Today, Vol 4, No 12 (2005), Pagination: 15-17Abstract
High speed machining is a highly demanding technology for machining of complicated profiles and difficult to machine materials. Wear of a cutting tool in any machining operation is highly undesirable as it severely degrades the quality of machined surfaces and causes undesirable and unpredictable changes in work geometry. Therefore, an online toot wear monitoring system is essential for achieving the desired surface finish and also for automating the unmanned machines in the future. Acoustic emission based tool wear monitoring is one of the efficient method.In this paper, the acoustic emission (AE) signals generated during high speed milling of aluminium using Titanium Aluminium Nitride (TiAIN) coated two flute end milling cutter is analyzed. The ischolar_main mean square values of the acquired signals are then correlated with the tool wear measured using Toolmaker's microscope. Finally, a relation between the tool wear and AE signal is established which is used for on-line tool wear monitoring, using regression and LabVIEW software.