prediction of chip morphology during high speed machining

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Prediction Of Chip Morphology During high speed machining of al 6063 Modelling By: Ilyas Hussain CB.EN.P2MFG15006

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Page 1: Prediction of chip morphology during high speed machining

Prediction Of Chip Morphology During high speed machining

of al 6063

Modelling By: Ilyas Hussain CB.EN.P2MFG15006

Page 2: Prediction of chip morphology during high speed machining

abstract Metal cutting is one of the most widely used manufacturing

techniques in the industry and there are lots of studies to investigate this complex process in both academic and industrial world.

Predictions of important process variables such as cutting speed, cutting feed and stress distributions play significant role on validating chip morphology.

The aim of this project is to create a numerical model to examine the chip morphology convinced by orthogonal machining in the finished work piece and the chip is validated by numerical simulation comparing with experimental result.

Therefore, orthogonal cutting simulations of Al6063 are performed and simulated result along with experimental is validated.

Page 3: Prediction of chip morphology during high speed machining

introduction Machining is the process of removing the material in the form of

chips by means of wedge shaped tool. The most common manufacturing process in industry is cutting,

and FEM (Finite Element Method) has become the main tool for simulating metal cutting processes.

The depth of cut is the movement between work piece and the cutting tool, which determines the thickness of material to be removed.

The chip can be continuous, segmented, or discontinuous; depending on the cutting parameters applied.

Page 4: Prediction of chip morphology during high speed machining

Temperature also affects tool life, work piece surface finish, chip morphology, and power consumption.

Due to increasing interest in high-speed machining, investigations of chip formation with high cutting speeds and hard materials have appeared.

Thus, cutting speed has been the primary parameter studied for chip formation simulation.

Few numerical studies have been made concerning the chip formation according to feed rate.

Page 5: Prediction of chip morphology during high speed machining

Numerical simulation The cutting takes place at a different spindle speed of

5000rpm,7000rpm and 9000 rpm respectively. The nose radius of the tool is constant at 0.1mm. Tool is modeled as rigid and tool wear is neglected in this

study to reduce the complexity and runtime. Room temperature is assumed to be 25°C A dry machining condition is considered for this

simulation. Homogenous material conditions are used. Metric system of units (Kg, M, s, °C, N) is followed

through the entire model.

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At 5000rpm with doc 0.1mm

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At 7000rpm with doc 0.1mm

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At 9000rpm with doc 0.1mm

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At 5000rpm with doc 0.3mm

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At 7000rpm with doc 0.3mm

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At 9000rpm with doc 0.3mm

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Stress and strain values

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Rpm/stress graph

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Rpm/strain graph

Page 17: Prediction of chip morphology during high speed machining

Rpm/stress graph

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Rpm/strain graph

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Results and discussions From above figures it is seen that continuous chips are

produced during machining but surface roughness is increasing with speed.

Simulated chip morphology is compared with published data for different cutting speed, depth of cut, different spindle speed and of course different cutting speed but tool rake angle fixed to validates the proposed model.

Throughout the simulation, the cutting tool with rake angle = 0°, clearance angle = +10° and tool nose radius of 0.1mm is used.

Page 20: Prediction of chip morphology during high speed machining

The simulation that I performed got best results in 5000rpm with 0.1 and 0.3mm DOC. Which is same as in my journal paper where they got good results with continuous chip and surface finish at 9000rpm and 1.5mm DOC.

For all speeds and Doc I got continuous chips but at higher speeds surface roughness is poor.

It is indicate that % difference between FEA and experimental result validation for chip width is found to be in the range of 1-37%, which is good range and similarly for chip thickness, it is indicate the % difference between FEA and experimental result is found to be in the range of 0-40% which is also good range due to manual calibration for both chip thickness and chip width measurement.

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From all above results it is concluded that, numerical simulation software is reliable tool to predict chip morphology study.

Cutting condition with continuous chip formulation is presented using the Finite Element Method software ABAQUS/Explicit.

The developed model has proved to be able to predict chip morphology in a work piece that undergoes a typical high speed machining machine operation.

Page 22: Prediction of chip morphology during high speed machining

Thank you