Indian Science Cruiser

Kapil Roy ¹, Partha Mukherjee ¹, Ujjwal Kumar Hansda ¹, Sourav Halder ¹, Suman Mandal ¹, Saikat Mandal ¹, Partha Pratim Saha ¹, Santanu Das ¹

Affiliations
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani-741235, IN

Abstract

Burr is a undesirable projected material adhered to an edge of a job. After drilling operation, exit burr which is usually produced beyond the rear surface of the workpiece, causes serious problem in the assembly of finished product and to maintain its quality. So, reduction of burr is essential. A number of experiments have been done in the present work under dry and wet environment to observe its effect on burr formation under different drilling conditions. In this work, an exit edge bevel of 31 degree or a back-up support is provided, and its influence on burr formed under different cutting velocities and feeds has been experimentally studied.

Keywords

Drilling, Machining, Burr, Exit-Edge Bevel, Back-Up Support, Dry Machining, Wet Condition.

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Atanu Das ¹, Partha Pratim Saha ¹, Santanu Das ¹

Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani - 741235, West Bengal, IN

Abstract

Burrs are formed in milling at the exit of the workpiece and it is three dimensional in nature. The exit burr height and thickness are varied with in-plane exit angle. It is also the prime factor of burr formation mechanism. This work presents a condition to obtain minimum burr formation at different exit edge bevel angles of the workpiece made of nickel chrome alloy steel with the varied in-plane exit angle of the cutter. In this experiment under dry environment, negligible burr is observed at 15° exit edge bevel angle when in-plane exit angle is 60°.

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Debjit Misra ¹, Santanu Das ¹, Nripen Mondal ², Partha Pratim Saha ³

Affiliations
1 Kalyani Govt. Engineering College, Kalyani- 741235, Dist. Nadia, West Bengal, IN
2 Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, Dist. Jalpaiguri, West Bengal, IN
3 Kanchrapara Railway Workshop, Eastern Railway, West Bengal– 731345, IN

Abstract

In drilling, the unwanted material adhered just beyond the hole produced in a workpiece material is known as a burr. In any conventional manufacturing process like drilling, milling, etc., machining burr is produced. There can be usually no conventional machining process which does not form burr. Presence of burr on the workpiece material leads to increasing production time as well as manufacturing cost. Minimization of burr height and thickness by changing machining process parameters and environmental condition yields decreasing production cost. The present work deals with prediction of burr height and burr thickness in the drilling process. An investigation has been performed by changing different process parameters like feed and cutting environment with respect to different drill diameters. From the experimental observation made by different sets of experiments with varying process parameters, minimum burr height and thickness are tried to find out. It is observed that using the back up support of the work material, burr height and thickness could be reduced remarkably. An Artificial Neural Network (ANN) model is developed using the experimental results. The neural network model estimates show close matching with the experimentally obtained results.

Keywords

Machining, Drilling, Burr, Estimation, Artificial Neural Network, NN, ANN, Modeling.

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