TAILIEUCHUNG - Comparison of machine learning algorithms for the automatic programming of computer numerical control machine

In this paper, a procedure to develop an automatic CNC program for machining of different types of holes by using different machine learning algorithms is developed. | Comparison of machine learning algorithms for the automatic programming of computer numerical control machine International Journal of Data and Network Science 4 2020 1 14 Contents lists available at GrowingScience International Journal of Data and Network Science homepage ijds Comparison of machine learning algorithms for the automatic programming of computer nu- merical control machine Neelima Sharmaa . Chawlaa and N. Rama a Indira Gandhi Delhi Technical University for Women India CHRONICLE ABSTRACT Article history The computer numerical control CNC machines are chiefly used for the production of jobs with Received May 18 2018 high accuracy and high speed. The CNC machining centers perform the machining operations Received in revised format July according to the given program instructions which are commonly programmed by a CNC pro- 22 2019 grammer. In this paper a procedure to develop an automatic CNC program for machining of dif- Accepted September 3 2019 Available online September 11 ferent types of holes by using different machine learning algorithms is developed. The machine 2019 learning algorithms namely support vector machine SVM and restricted boltzmann machine al- Keywords gorithm RBM with deep belief network DBN are used for the automatic development of CNC Artificial Intelligence machining programs of different types of holes. Initially the position and other parameters of CNC Programming machining operations are identified and thereafter the CNC machining program is developed by Machine Learning Algorithms using the MATLAB application. The automatically developed CNC programs are tested on a CNC Deep Belief Network simulator. It is found that the application of RBM machine learning algorithm with DBN outper- Restricted Boltzmann Machine forms the SVM machine learning algorithm for the development of automatic CNC machining Support Vector Machine program for the machining of blind holes through holes counterbores and .

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