Titlebook: Recent Advances in Manufacturing Modelling and Optimization; Select Proceedings o Shailendra Kumar,J. Ramkumar,Panagiotis Kyratsis Conferen

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Numerical Modeling of Die-sinking EDM for Evaluation of Material Removal Rate and Surface Roughnessficant role in material removal of conducting materials in a very precise manner. This study accounts for the development of a thermo-numerical model using finite element method (FEM) analysis to specifically predict the rate at which material is removed and the roughness of surface which is produce

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Numerical Analysis of Tool Material in Ultrasonic Machining Process,luenced by various parameters such as types of abrasives, types of tool and workpiece materials, different types of horn and tool geometries, frequency, amplitude. The tool is one of the foremost components used in the USM process. The present study is considered the design of a stepped tool using d

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Investigation of Gear Profile Deviations in Gear Planning Process Through CAD-Based Simulation,ng a final geometry that conforms to the specifications given while at the same time provides a cost-effective solution. One of the traditional processes for manufacturing gears is the gear planning process. This paper presents a novel simulation model that is able to model the material removal proc

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Numerical Investigation and Comparison of Stress Concentration Factor in Threaded Bolts,tricting the motion of individual machine elements as per the requirement in the assembly. The design of threaded fasteners is crucial because its failure can cause the entire assembly to fail. In threaded fasteners, the stress concentration due to unequal and fluctuating loads can cause the failure

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Numerical Investigations of Mixing Performance in Split and Recombine Micromixer,ombine type micromixers are designed by altering the shape of the wall boundaries and inside grooves. The pressure drop and mixing of fluids in each micromixer are numerically analyzed, and results are compared for Reynolds number from 0.1 to 1. The mixing index is the maximum at Re = 0.1, and the v

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An Adaptive Neural-Fuzzy Approach for Modeling of Droplet Frequency in E-Jet-Based Micro-additive M by an electric field through nano-scale nozzles. This method helps to achieve higher resolution and control which is way better than that of traditional processes. This paper focuses on a fuzzy logic-based neural networking system, also known as ANFIS which has been used to predict and model the ou