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Ghosh, Aniruddha
- A Critical Linguistic Assessment of The Process Parameters on The Relative Ranks of The Yield Parameters for Nd: Yag Laser Drilling
Authors
1 Dept, of ME & MME, Indian School of Mines University, Dhanbad, IN
2 Dept of Production Engg., BIT Mesra, IN
3 Indian School of Mines University, Dhanbad, IN
Source
Indian Welding Journal, Vol 42, No 4 (2009), Pagination: 21-25Abstract
Advances in manufacturing technology and the quest for smaller part geometry, have played the role of a curtain raiser for the new frontiers of machining process of metals. In this specific domain of precision manufacturing, the traditional machining methods have limited capabilities to meet higher accuracy, better surface finish and greater productivity related requirements from the customer. Micro machining is a ready solution towards the miniaturization of components and devices. The main problems during micro machining methods are to make a low heat affected zone and the controllability of other parameters to meet ever demanding process capability related requirements. High energy beam machining identifies a category of processes, each of which is capable of transferring a beam of such high energy intensity into metal cutting or drilling forces. It should be used to melt and vaporize a narrow zone of metals. This ability is useful for precision drilling, welding and cutting. Low power pulse Nd:YAG laser machining is now being used for these purpose often with the high level of precision in an economically viable manner. Thin strip cutting of metals through laser beam is one of the main applications in this area. This paper is focused on the cutting and drilling of the mild steel workpiece with lower thickness values and an attempt has been made to study the different process parameters in linguistic terms, which will affect relative ranks of the quality of the precision cutting and micro drilling of the metal specimen.
Keywords
Nd:YAG, Micro Drilling, Linguistic Terms, HAZ.
- ANFIS Model for Interaction of Parameters of Sybmerged Arc Welding Process for Mild Steel Plates of Higher Thickness
Authors
1 Department of Mechanical & Mining Machinery Engineering, Indian School of Mines, Dhanbad, IN
Source
Indian Welding Journal, Vol 43, No 4 (2010), Pagination: 44-52Abstract
The interactions of welding input parameters are studied by an ANFIS model in MATLAB of Submerged Arc Welding process. SAW is a high quality, very high deposition rate welding process commonly used to joint plates. The main objective is to identify the main input factors, to determine the interaction amongst the input factors and finally establish the optimum model for predicting the weld bead parameters that leads to the desired weld quality. This paper proposes an Adaptive Neuro Fuzzy Inference System (ANRS) technique of fuzzy based systems for modelling and simulation of the Submerged Arc Welding process. The performance of the ANFIS model developed is validated by comparing the predicted results with the actual experimental results.