Abstract: The Analytic Hierarchy Process (AHP) is a well-liked multi-criteria decision making method. In current research an attempted has been made by researcher to present an application of the AHP. It is used to find the weightages of the selected factors for the automobile steering technology. This method adopts a multi-criteria approach that can be used for analysis/comparison of parameters. Sixteen factors were used for evaluating these are: Basic cost of steering, Maintenance cost, System Efficiency, System control technology, Durability, Turning Radius, Effort required, Availability of vehicle , Sales Volume , Time period of service , Maintenance Time , percentage of failure , Adjustment as per driver , Complexity , Upgrade ability , System Safety, for these a matrix of pair wise comparisons between parameters were evaluated. Eventually resulting/emerging precedence is revealed.
VI. CONCLUSIONSBy the using pair wise comparison weightages of factors have been calculated. It has been observed that Basic cost of steering / Effort required/ Availability of vehicle is having maximum weightage among all. These weightage will be helpful in other/further analysis/calculation, which will help in selection of appropriate technology.
Machining is the most vital operation, widely used in the manufacturing industry to remove materials and to achieve the desired geometry. As with most engineering problems we want to get the uppermost return, with the least investment. In this case we want to minimize costs, while increasing cutting speeds. But the major challenge faced is about understanding the mechanics of machining and significant influence of tool geometry, cutting velocity, depth and feed for cut that can be iterated to bring the best in the process. In this study, emphasizes will be made on range of speed causing stress on turning tool during metal cutting. A model has been developed using ANSYS software that can help in understanding the machining process. A different approach is proposed which will lead to the minimization of the damage to work material as well as tool material and to increase the profit or minimizing manufacturing cost per unit. In cutting operation, the region near the tool tip is the most important region and conditions at the tool tip is examined with precision so that improvements in tool performance can be achieved.
In the present work, study of tool wear caused by the change in cutting depth, feeding rate and speed of cutting of single point cutting tool for a turning operation to predict the tool life in orthogonal cutting using Finite Element Method (FEM) is carried out. A simulation model was developed using ANSYS software in order to estimate the magnitude of the von-misses and residual stresses evolved during the machining process.
The result shows the influence of depth during cut in the machining and influence of induced stresses on carbide tool. The result obtained have been verified by the available results from the literature for the variation of x-y stress, von-misses stress with the temperature, on carbide tool and was found to be in good agreement.
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