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RISS 인기검색어
- 검색키워드
- 저자 : Basanta Kumar Bhuyan (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Basanta Kumar Bhuyan,Vinod Yadava 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.8
The present paper attempts to focus an application of a hybrid methodology comprising of Taguchi methodology (TM) coupled with response surface methodology (RSM) for modeling and TM coupled with weighted principal component (WPC) methodology for multiobjective optimization of a self developed traveling wire electro-chemical spark machining (TW-ECSM) process. First optimum level of input parameters is found using TM which is used as the central values in RSM to develop the second-order response model. For multiobjective optimization two quality characteristics surface roughness (Ra) and material removal rate (MRR), which are of opposite nature (Ra is the lower-the-better type, while MRR is the higher-the-better type), have been selected. The WPC is employed for the calculation of weight corresponding to each quality characteristic. The results indicate that the hybrid approaches applied for modeling and optimization of the TW-ECSM process are reasonable.
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Perspective study of abrasive water jet machining of composites - a review
Anil Kumar Dahiya,Basanta Kumar Bhuyan,Shailendra Kumar 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.1
Even though composite materials are prominent amongst the advanced engineering materials, but machining of composites using conventional machining processes is difficult and uneconomical due to their specific properties such as anisotropy and nonhomogenous nature. Abrasive water jet machining (AWJM) is proved to be an efficient and economical process for machining of composites in manufacturing industries. In this paper, the published literature during the last three decades (1991-2020) in the domain of AWJM of composites is reviewed. It elucidates the influence of process parameters on response characteristics of AWJM with key outcomes of different responses and examines the morphology of the machined specimens. Various modelling and optimization methods for the identifications of machining parameters of AWJM have been effectively scrutinized in tabular form. Based on the critical literature review, research gaps are identified and scope of machining potential of AWJM is also discussed in the last part of the present paper.
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