Abstract
Ultrasonic machining (USM) process is significant as it does not produce residual stress and thermal damage to the machining surface. The process is capable of engraving, cavity sinking, slicing, drilling holes and broaching in non-conductive and brittle materials like ceramic, glass, etc. that are hard and brittle in nature. The optimum parameter is required to obtain the desired profile on the machined surface with less residual damage. To achieve this objective, a graphical user interface (GUI) is developed that mimics metaheuristic technique, Cuckoo search algorithm (CSA). The advantage of CSA interface is that it provides flexibility to the end user to solve continuous domain problems based on other machining process without bother about mathematical computation. The GUI is tested on two cases of USM process and results show the effectiveness of CSA based interface. The effect of USM process parameters are studied and reported for effective study of the considered processes. The results for USM processes obtained using the considered metaheuristics techniques are compared with experimental results of previous researchers and other algorithms, such as particle swarm optimization (PSO) and black hole algorithm (BHA). It is observed that the results obtained using CSA are found effective and better compared to the results given by other algorithms.
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Singh, D., Shukla, R.S. (2021). Application of Cuckoo Search Algorithm User Interface for Parameter Optimization of Ultrasonic Machining Process. In: Dey, N. (eds) Applications of Cuckoo Search Algorithm and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-5163-5_7
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DOI: https://doi.org/10.1007/978-981-15-5163-5_7
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