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Content available remote Model reference-based machining force and surface roughness control
EN
Purpose: The main objective of this paper is to present the development of an empirical model-based control mechanism to maintain a fine surface finish quality by maintaining on-line cutting values. Design/methodology/approach: The proposed model has been developed to present the control model constraints, by varying the machining parameters to control the force output to be constant. Genetic programming method (GP) has been applied to derive empirical relationship of the surface finish and the cutting force. These relationships have been applied to develop the proposed simulation model, in which the cutting force is adjusted to improve the required surface finish for the end milling operation process. Findings: The experimental results show that not only does the milling system with the design controller have high robustness, and global stability but also the machining efficiency of the milling system with the adaptive controller is much higher than for traditional CNC milling system. Experiments have confirmed efficiency of the adaptive control system, which is reflected in improved surface quality and decreased tool wear. Research limitations/implications: The proposed architecture for determining of optimal cutting conditions is applied to ball-end milling in this paper, but it is obvious that the system can be extended to other machines to improve cutting efficiency. Practical implications: The results of experiments demonstrate the ability of the proposed system to effectively regulate peak cutting forces for cutting conditions commonly encountered in end milling operations. The high accuracy of results within a wide range of machining parameters indicates that the system can be practically applied in industry. Originality/value: By the GP modeling the system for adaptive adjustment of cutting parameters is built.
2
Content available remote Model reference adaptive force and surface roughness control in milling
EN
Purpose: of this paper. The paper presents the model based mechanism of control assuring constant quality of surface finish by controlling the cutting forces in the end milling process. By dynamic adaptation of feeding and speed the system controls the surface roughness and the cutting forces on the milling cutter. The purpose of developing such a mechanism is to find the limitations of such control which maintains constant cutting force by adapting the cutting parameters. Design/methodology/approach: The model based system of control has been developed by the evolutionary method of genetic programming (GP). A drawing of experiments has been made in order to determine the empirical correlations between the quality of surface finish and the cutting force. Genetic programming method has been applied to derive empirical relationship of the surface finish and cutting force values for steel material. These relationships have been applied to develop the proposed evolution simulation model in which the cutting force is adjusted to improve the required surface quality. Findings: The system eliminates the problems related to assurance of quality of machining, efficiency of machining and prevention of tool damages. Research limitations/implications: While force control approach performed satisfactorily in a laboratory environment, it can be generally concluded that their implementation should be dictated by the economics of the production environment. Practical implications: The results provide a means of greater efficiency by improving the surface quality, minimizing the effect of the process variability and reducing the error cost in finishing operations. Originality/value: An adaptive system of control which controls the cutting force and maintains constant roughness of the machined surface during milling by continuous dynamic adjustment of the cutting parameters is devolped.
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