12th GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT, GCMM 2014 Laser Assisted Machining of difficult to cut materials: Research Opportunities and Future Directions - A comprehensive review

High strength alloys such as nickel and titanium and advanced engineering materials such as ceramics, composites are being de veloped and widely used in aerospace, automotive, medical and nuclear industries due its inherent physical-mechanical p roperties. However conversion these new materials into engineering products are always associated with machining. The machinability characteristics such as higher cutting force, higher cutting temperature, poor surface integrity and shorter tool life ass ociated with these materials posing many challenges to the researchers, and hence considered as difficult to cut materials. Conventional methods of machining these materials are found to be uneconomical. In recent days, many attempts have been mad e to improve the machinability of these materials more effectively via use of external energy assisted machining. Among the various external energy assisted machining methods, laser assisted machin ing (LAM) has received the attention of rese archers in the metal cutting domain and a few research was carried during the recent years. This paper is aimed to review an d summarize the potential use of LAM for difficult to cut materials, current progress, benefits and challenges in laser assisted machining. In addition an optimization frame work to study the effect of laser parameters and machining process parameters on machinability performance is not reported which is applicable to industrial processes It is concluded that further experimental modeling and empirical techniques are required to create a predictive based models that gives good agreement with reliable ex periments, while explaining the effects of many parameters, for machining of these difficult-to-cut materials. .© 2014 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of the Organizing Committee of GCMM 2014

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