A tool machining load monitoring method includes a step of collecting a load information of a driver of the machine tool in different time periods while a tool is cutting; according to the load information, a step of finding and calculating a threshold valve corresponding to a constant speed period during cutting, and a step of, according to the threshold value of the constant speed period, determining whether or not a treatment upon the tool is necessary.

A method for detecting at least one tool state of a tool of a machine tool for machining workpieces, which includes at least one tool holder, at least one positioning drive, which includes at least one tool which is arrangeable or arranged rotationally fixed in the tool holder and which includes at least one control unit. The method includes the following steps: detecting or providing tool and/or workpiece data in the storage means and/or the control unit; providing at least one reference drive frequency of the rotary drive and/or the positioning drive; detecting at least one ACTUAL driving frequency of the rotary drive and/or the positioning drive; assigning the ACTUAL drive frequency of a reference drive frequency of the rotary drive and/or the positioning drive by the control unit and evaluating and/or interpreting at least the reference drive frequency associated with the ACTUAL drive frequency by the control unit.

A dental prosthesis processing device that processes a workpiece made of ceramic or the like into a prosthesis of a desired shape includes one or more processing tools for processing a workpiece into a prosthesis of a predetermined shape; a spindle on which the processing tools are replaceably mounted and that is spatially movable in position; a processing tool replacement obstruction part located in close proximity to the processing tools and/or the spindle and configured to obstruct the processing tools from being replaced; and a controller configured to determine whether to replace the processing tools. Depending on whether the replacement is necessary or not, the controller allows or prevents the processing tools from being replaced by bringing the processing tools and/or the spindle and the processing tool replacement obstruction part away from or close to each other.

A machining assist system includes a knowledge database, a receiver, a control unit, and a display. The knowledge database stores various pieces of information indicative of know-how concerning a machining method and a machining facility. The receiver receives a question. The control unit executes a driving solver and a solution-providing solver so as to search the knowledge database using a search condition based on the question and derive a response. The display presents the response. The response includes a plurality of measures, priorities assigned to the measures, and progress information indicative of a search process and a search route. The search process includes a plurality of factors to be used to derive the measures. The search route is a link between the factors. The search process and the search route are visually presented on the display.

The example embodiments are directed to a system and method for determining the health of a cutting tool used in milling operations or the like. In one example, the method may include receiving operating characteristics of a cutting machine which are captured during an iteration of a cutting operation, generating a signature pattern associated with the cutting machine based on the operating characteristics, the signature pattern representing a unique pattern of the operating characteristics of the cutting machine during the cutting operation, determining health information of a cutting tool of the cutting machine based on the signature pattern and a benchmark signature pattern, and outputting the determined health information of the cutting tool for display on a display device. Accordingly, a cutting tool can be replaced at the optimum time thereby improving productivity and conserving cost.

A system for improving drill bit performance, comprising processors and memory storing instructions to obtain a wear report for a drill bit, wherein the wear report includes wear characteristics of the drill bit and drill operating parameters under which the drill bit was used; compare the wear characteristics of the drill bit to a threshold for acceptable drill bit wear; and adjust drill operating parameters based on the wear characteristics of the drill bit. The instructions to obtain the wear report for the drill bit include instructions to analyze images of the drill bit to identify wear characteristics; identify wear patterns based on the wear characteristics of the drill bit; identify probable drilling conditions based on the wear patterns; and generate the wear report for the drill bit based on the images of the drill bit, the wear characteristics of the drill bit, and the probable drilling conditions.

A cutting tool holder (1) for holding and driving a cutting tool (2) includes at least one actuator (3) for adjusting at least one operating state of the cutting tool holder (1). A control module (4) is disposed on the cutting tool holder (1) and is connected with the actuator (3). The control module (4) directly and independently actuates the actuator (3); information about the operating state is storable on the control module (4). A TCP- and/or UDP-based server is disposed on the control module (4) so that information transmitted from a web-browser compatible end device (5, 6) about an operating state to be assumed can be received and information about the actual operating state can be transmitted to the web-browser compatible end device (5, 6).

A self-aware machine platform is implemented through analyzing operational data of machining tools to achieve machine tool damage assessment, prediction and planning in manufacturing shop floor. Machining processes are first identified by matching similar processes through an ICP algorithm. Machining processes are further clustered by Hotelling's T-squared statistics. Degradation of the machining tool is detected through a trend of the operational data within a cluster of machining processes by a monotonicity test, and the remaining useful life of the machining tool is predicted through a particle filter by extrapolating the trend under a first-order Markov process. In addition, process anomalies across machines are detected through a combination of outlier detection methods including SOMs, multivariate regression, and robust Mahalanobis distance. Warnings and recommendations are flexibly provided to manufacturing shop floor based on policy choice.

A production device having wear and/or manipulation identification is provided. The production device is produced at least for the most part by additive production methods and has a surface. The production device may be constructed as an assembly device, in particular workpiece coordination device, shaping tool or auxiliary technical production device. According to the present disclosure there is provided at least in a region of the surface at least one signal layer which, in an initial state of the production device, is arranged at a predetermined depth below a surface termination layer of the surface and is covered externally by the surface termination layer of the surface. In this instance, the signal layer differs in a visually perceptible manner from the surface termination layer.

A positive feed tool may include a motor, a power supply operably coupled to the motor to power the motor, a gear head and a spindle. The gear head may be operably coupled to the motor to be operated responsive to powering of the motor. The gear head may include a drive assembly and a feed assembly. The spindle may be operably coupled to the gear head to enable the spindle to be selectively driven rotationally and fed axially based on operation of the drive assembly and the feed assembly, respectively. The feed assembly may include an electronically controlled variable feed rate oscillator.