Radio Frequency Identification Technology in Libraries
Abstract
Wire Electrical Discharge Machining (WEDM) endorsed sensation in the production of newer materials, especially for the aerospace and medical industries. Using WEDM technology, convoluted cuts can be made through difficult-to-machine electrically conductive components with the high degree of accessible accuracy and the fine surface quality make WEDM priceless. In other hand Aluminum Metal Matrix Composites (AMMCs) are the precise materials for marine, automobile, aerospace, defense, and sports industries which are difficult to cut by conventional methods of machining. In this paper an optimal set of material and machining parameters is derived using hybrid approach called greyfuzzy approach. For this AMMC samples are produced as per the taguchi experimental design by considering combined material and wire EDM parameters and machined using WEDM machine. The obtained responses such as kerf width, tool wear, process cost and surface roughness are optimized using grey-fuzzy approach which is obtained by combining grey relational analysis and fuzzy logic.
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Introduction
Aluminum Metal Matrix Composites (AMMCs) are the well-defined materials for marine, automobile, aerospace, defense, and sports industries, as they have high strength to weight ratio, and possess superior physical and mechanical properties compared to non-reinforced alloys and traditional metals. However, the presence of abrasive reinforcements in the ductile matrix causes rapid tool wear and hence tool failure. This leads to an increase in machining cost, production time and poor quality of machined components. On the other hand, some techniques such as electric discharge machining (EDM) and wire electric discharge machining (WEDM) are quite successful for machining of AMMCs. EDM has limited applications as it can be used only for drilling purpose. WEDM seems to be a better choice as it conforms to easy control and can machine intricate and complex shapes. The setting for the various process parameters required in WEDM process play crucial role in achieving optimal performance. Effective and economical WEDM of AMMCs will open new areas of applications for AMMCs
Conclusion
After analyzing the data of obtained influential factors combination, it is concluded that PRFM, BM and RM are the most significant parameters which influence th multi responses WP and TOFF are the medium influenced parameters on multi responses TON, SF and WF are influenced lastly the multi responses. Also grey relational grade of the optimal combination is increased about 35.96%