Synthesis, characterization and study of physical properties of novel M(n+1)AX(n) compounds

Mn+1AXn compounds, the ternary layered nanolaminates have gathered momentum in the last decade since its advent because of their unusual but exciting properties. These technologically important compounds combine some of the best properties of metals and ceramics. Like ceramics they are refractory, oxidation resistant, elastically stiff and relatively light. They also exhibit metallic properties like excellent machinability, thermal and electrical conductivity. This dissertation concentrates on the synthesis of germanium-based 211 Mn+1AXn compounds. The main objective of the research was to synthesize predominantly single phase samples of Cr2GeC, V2GeC and Ti2GeC. Another goal was to study the effect of solid substitutions on the M-site of Mn+1AXn compounds with Ge as an A-element. This study is in itself the first to demonstrate the synthesis of (Cr0.5V0.5)2GeC a novel Mn+1AXn compound. Scanning electron microscopy coupled with energy dispersive spectroscopy, x-ray diffraction and electron probe microanalysis were employed to confirm the presence of predominantly single phase samples of M2GeC compounds where M = Ti, V, Cr and (Cr 0.5V0.5). A large part of the dissertation also focuses on the effect of the compressibility on the Ge-based 211 Mn+1AXn compounds with the aid of diamond anvil cell and high energy synchrotron radiation. This study also concentrates on the stability of these compounds at high temperature and thereby determines its suitability as high temperature structural materials. In order to better understand the effect of substitutions on A-site of 211 Mn+1 AXn compounds under high pressure and high temperature, a comparison is made with previously reported 211 Mn+1AXn compounds with Al, Ga and S as A-site elements.

Tool cutting force modeling and wear estimation of micro -end-milling operations

The applications of micro-end-milling operations have increased recently. A Micro-End-Milling Operation Guide and Research Tool (MOGART) package has been developed for the study and monitoring of micro-end-milling operations. It includes an analytical cutting force model, neural network based data mapping and forecasting processes, and genetic algorithms based optimization routines. MOGART uses neural networks to estimate tool machinability and forecast tool wear from the experimental cutting force data, and genetic algorithms with the analytical model to monitor tool wear, breakage, run-out, cutting conditions from the cutting force profiles. ^ The performance of MOGART has been tested on the experimental data of over 800 experimental cases and very good agreement has been observed between the theoretical and experimental results. The MOGART package has been applied to the micro-end-milling operation study of Engineering Prototype Center of Radio Technology Division of Motorola Inc. ^

Tool cutting force modeling and wear estimation of micro-end-milling operations

The applications of micro-end-milling operations have increased recently. A Micro-End-Milling Operation Guide and Research Tool (MOGART) package has been developed for the study and monitoring of micro-end-milling operations. It includes an analytical cutting force model, neural network based data mapping and forecasting processes, and genetic algorithms based optimization routines. MOGART uses neural networks to estimate tool machinability and forecast tool wear from the experimental cutting force data, and genetic algorithms with the analytical model to monitor tool wear, breakage, run-out, cutting conditions from the cutting force profiles. The performance of MOGART has been tested on the experimental data of over 800 experimental cases and very good agreement has been observed between the theoretical and experimental results. The MOGART package has been applied to the micro-end-milling operation study of Engineering Prototype Center of Radio Technology Division of Motorola Inc.