The functional behavior of mating surfaces is substantially determined by the nature of the dimensional features characterized by the geometrical specifications and metallurgical conditions. High temperature and pressures in the zone of interaction between the mating surfaces leads to heavy plastic deformation of the material and in turn substantial changes in the geometrical dimensions. This paper presents the influence of the Jig Boring process parameters on dimensional features of holes. The roundness, straightness and surface roughness of the holes are considered for investigation by varying rotational speed, traverse feed and depth of cut during Jig Boring. Results show substantial change in the geometrical features with Jig Boring process parameters. Statistically valid conclusions are arrived at by employing Taguchi technique.
Keywords: Pattern Recognition, Jig Boring, Process Parameters, DOE, MTS
[...] The roundness, straightness and surface finish of the jig bored hole are measured in Co ordinate Measuring machine and Talysurf machine respectively. Interpretations of results were carried out by ANOVA analysis. The percent contribution of each factor was determined by ANOVA analysis and optimum jig boring conditions were arrived at employing the “Lower the better” strategy for roundness error, straightness error and surface finish. Table: 4. Physical Dimensions of the Jig Bored Hole Trial Cutting Feed rate Depth of Tool No. [...]
[...] The objective of the present investigation is to study the effect of jig boring process parameters on the quality of the physical dimensions, determine the optimum Jig boring conditions, develop a software program to recognize the pattern of the Jig bored hole using Mahalanobis Taguchi Technique. EXPERIMENTAL DETAILS For the present study, Low carbon steel specimens of size (254 X 254 X 10 mm) used to conduct experiments. Care has been taken while preparing the samples, so that it should not cause any surface altercations in the material. [...]
[...] Also the C program interlinks the physical inspection system and the pattern recognizing metrology system based on functional behaviour of the component. The flow chart shown in figure.1 indicates the sequence of execution of the C program. CONCLUSIONS This work attempts to apply the MTS to perform the prediction for multivariate data. The software program is written in C language to calculate the MD for every particular set of characteristics which initiates the pattern recognition of a jig bored hole for its acceptance or rejection at the end of manufacturing of the product is executed successfully. [...]
[...] K.Roy, Taguchi Approach: 16 Steps to Product and Process Improvement, John Wiley & Sons, New York Taguchi.G, Introduction to Quality Engineering, Quality Resources, New York Ch.Pavani Jyothi, R.Sreenivasa Rao, S.Rajesham and L.Venkateswar Rao, Ethanal Production from D-Xylose by Candida Intermedia MTCC-1404:Parameter optimization using taguchi Overall criteria technique, Asian Journal of Microbiology, Biotech Env. Science , Volume No 2005, Page No.679-684, Global Science Publications Genichi Taguchi, J.Rajesh, New Trends in MultiVariate Data Analysis, International Journal of Quality Engineering, Vol 12, pp Harrison M. [...]
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