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      Implementation of an Algorithm to Prevent Chatter Vibration in a CNC System

      research-article
      * , *
      Materials
      MDPI
      chatter, CNC control, machining assistance, machining stability, receptance coupling, turning, operator, HMI

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          Abstract

          Machining of shafts characterized by a high compliance is difficult due to the occurrence of self-excited chatter vibrations. It is possible to limit their occurrence through the appropriate selection of technological parameters. For a proper selection of these parameters it is necessary to know the dynamic properties of the machine–tool–workpiece. This study proposes an approach through which these properties can be determined as a result of the synthesis of the dynamic properties of the system, using the receptance coupling method. Knowledge of these properties allows us to select the technological parameters of the lathe using the assistance system integrated into the CNC (Computerized Numerical Control). The final section of this work presents the experimental validation of the assistant and proposed procedures.

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          Most cited references38

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          Chatter Stability of Metal Cutting and Grinding

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            Surface quality and topographic inspection of variable compliance part after precise turning

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              Intelligent Optimization of Hard-Turning Parameters Using Evolutionary Algorithms for Smart Manufacturing

              Recently, the concept of smart manufacturing systems urges for intelligent optimization of process parameters to eliminate wastage of resources, especially materials and energy. In this context, the current study deals with optimization of hard-turning parameters using evolutionary algorithms. Though the complex programming, parameters selection, and ability to obtain the global optimal solution are major concerns of evolutionary based algorithms, in the present paper, the optimization was performed by using efficient algorithms i.e., teaching–learning-based optimization and bacterial foraging optimization. Furthermore, the weighted sum method was used to transform the diverse responses into a single response, and then multi-objective optimization was performed using the teaching–learning-based optimization method and the standard bacterial foraging optimization method. Finally, the optimum results reported by these methods are compared to choose the best method. In fact, owing to better convergence within shortest time, the teaching–learning-based optimization approach is recommended. It is expected that the outcome of this research would help to efficiently and intelligently perform the hard-turning process under automatic and optimized environment.
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                Author and article information

                Journal
                Materials (Basel)
                Materials (Basel)
                materials
                Materials
                MDPI
                1996-1944
                29 September 2019
                October 2019
                : 12
                : 19
                : 3193
                Affiliations
                Department of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, al. Piastów 19, 70–310 Szczecin, Poland
                Author notes
                [* ]Correspondence: marcin.jasiewicz@ 123456zut.edu.pl (M.J.); karol.miadlicki@ 123456zut.edu.pl (K.M.); Tel.: +48-91-449-43-38 (M.J.); +48-91-449-43-38 (K.M.)
                Author information
                https://orcid.org/0000-0003-4000-9942
                https://orcid.org/0000-0001-6456-3724
                Article
                materials-12-03193
                10.3390/ma12193193
                6803880
                31569461
                7af4fdef-cb09-4c58-95f7-524829dcec6f
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 18 July 2019
                : 26 September 2019
                Categories
                Article

                chatter,cnc control,machining assistance,machining stability,receptance coupling,turning,operator,hmi

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