Modeling, Analysis, Coding, Evaluation and Selection of Ultrasonic Machining System
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Abstract
Ultrasonic machining is one of the most widely used non-traditional machining processes for
the machining of non-conductive, brittle materials including glass, ceramics, carbides, and
graphite. Ultrasonic machining is an abrasive process, and material removal is purely
mechanical. The process does not cause heat affected zone and any chemical or electrical
alterations on work piece surface. It does not change the metallurgical, chemical or physical
properties of the work pieces. Ultrasonic machine four different mechanisms are responsible
for removal of material from the work surface. Material removed by direct hammering of
abrasive particles on the work piece, Micro chipping by impact of free moving particles,
Cavitations effect from the abrasive slurry, Chemical action associated with the fluid used.
This study presents a new methodology for evaluation, ranking and selection of parameters of
Ultrasonic machine by using (multiple attribute decision making) MADM approach. A 3-
stage selection procedure is used for identification of pertinent attributes and ranking is done
with TOPSIS and graphical methods (Line graph and Spider Diagram). The proposed 3-stage
selection procedure is explained with the help of an illustrative example. This methodology
convert database into knowledge base by considering normalization, relative weights,
positive benchmarked and negative benchmarked solutions. This study provides a general
formula which can be applied to any USM system. An integrated systems model for the
structure of the ultrasonic machining system in terms of its constituents and interactions
between the processes using graph theory and matrix algebra. Ultrasonic machining system is
first explained with the graph theoretic approach using different interactions between sub
systems. The matrix models and variable permanent function models provides an opportunity
for carrying out characterization analysis and optimization. The terms of permanent
multinomial characterize the ultrasonic machining system uniquely and for analysis of the
structural information of the ultrasonic machining system.
Description
M.E. (Production and Industrial Engineering)
