Non-traditional machining (NTM) has gained significant attention in the last decade due to its ability to machine conventionally hard-to-machine materials. However, NTMs suffer from several disadvantages such as higher initial cost, lower material removal rate, more power consumption, etc. NTMs involve several process parameters, the appropriate tweaking of which is necessary to obtain economical and suitable results. However, the costly and time-consuming nature of the NTMs makes it a tedious and expensive task to manually investigate the appropriate process parameters. The NTM process parameters and responses are often not linearly related and thus, conventional statistical tools might not be enough to derive functional knowledge. Thus, in this paper, three popular machine learning (ML) methods (viz. linear regression, random forest regression and AdaBoost regression) are employed to develop predictive models for NTM processes. By considering two high-fidelity datasets from the literature on electro-discharge machining and wire electro-discharge machining, case studies are shown in the paper for the effectiveness of the ML methods. Linear regression is observed to be insufficient in accurately mapping the complex relationship between the process parameters and responses. Both random forest regression and AdaBoost regression are found to be suitable for predictive modelling of NTMs. However, AdaBoost regression is recommended as it is found to be insensitive to the number of regressors and thus is more readily deployable.
This paper describes the method for computer aided modelling of the newly designed robot with the aid of 3D modelling software. The static analysis of the designed robot also done by using the analysis software. The conventional design procedures of the elements of the mechanical configurations of the robot base and arm explained in exhaustive manner. Nuclear waste storage steel canisters are often required regular maintenance and surface inspection in order to ensure the goodness of the canisters. In this research work also the designed robot is doing the same task with the help of NDT system available at the end of the arm. However, these types of robot manipulators suffer from different payload capacity and relatively some amount of end point deflections. Through the static analysis the stability of the robot manipulator is proved. This paper features the optimized new design of mechanical configuration of the robot suitable for inspection of outer surface welds present in the steel storage canister at nuclear industry with the help of NDT equipment. The effective utilization of knuckle joints and screw jack mechanisms at the base gives the higher order of degree of freedom when compare with currently available robots.
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