An extended approach to improve adaptive milling of solid wood workpieces is described. It is based on the joint usage of two physically different methods: non-contact ultrasonic scanning of the workpiece body and optical recognition of the wood fibers direction on the workpiece surface. To implement the proposed approach, it is necessary to change the existing technological route of furniture workpieces processing. A stage before the milling operation should be included. This stage involves the sequential execution of ultrasonic scanning, computer processing, and optical recognition of the obtained data. It allows us to determine the wood density, the internal defects localization, and the direction of wood fibers. Computer processing involves the usage of a virtual orthogonal grid. This grid covers the workpiece surface, on which the trajectory of the milling cutter is projected. The projection of the milling path is represented by the set of cells. It defines the local processing area. The gathered information about the wood properties is suggested to use for the adaptive selection of the important equipment technological parameters, such as the feed rate and the cutter rotation frequency. Varying of these parameters values and considering the physicomechanical properties of wood at the processing area allow us to improve the milling quality.
System analysis of the milling process of furniture parts allowed to allocate target control functions on cleanliness of processing and performance, taking into account the perturbing effects – moisture of wood material. According to the plan of active experiments based on the technical characteristics of existing CNC machine the minimum, maximum, and average values of feed rates and cutting rate of tools are determined. The experiment with 12 pieces of MDF samples allowed determining the mathematical model of the dependence of the objective functions of roughness Ra on the feed rate V, cutting rate of tool w and humidity of the processed material f.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.