A machining support device for supporting improvement of a machining result of a numerical controller includes: a machining resource information acquisition unit that acquires functions set in advance in the numerical controller as machining resource information; a machining content information acquisition unit that acquires a machining content to be executed by the numerical controller as machining content information; a machining result calculation unit that calculates an expected machining result expected to be obtained when the machining content included in the machining content information is performed on the basis of the machining resource information; a retrieving unit that retrieves software that improves the calculated expected machining result; and an informing unit that informs of the retrieved software.

An address identification method, apparatus, system, storage medium, a processor and a terminal are disclosed. In an embodiment, the method includes: defining a screening library including at least one expected attribute value describing an expected state value of a device parameter to be addressed in an operating mode of an industrial device; acquiring a data group including an actual state value generated in the operating mode and an address where the actual state value is stored; for each address, extracting an actual attribute value, stored in the address, of the actual state value; comparing the actual attribute value with the expected attribute value, determining the actual state value corresponding to the actual attribute value which complies with the expected attribute value, and determining, from the data group, an address corresponding to the selected actual state value; and taking the selected address as a final address and outputting same.

A welding system including an arc monitoring, training, and control system is disclosed. The welding system includes a power supply, controller, and associated memory. When a weld is performed, the weld command and weld feedback parameters can be stored in the memory, along with associated alarm limit values. During subsequent welds, the input weld commands and actual feedback values can be compared to the established limits, and a fault signal provided to an operator or supervisor when the value exceeds the established limits. The fault signals can be used for training operators, as well as providing monitoring signals, and can be stored with weld data in a database for later analysis. In addition, collected weld data can be used to determine when to clean, repair, or replace consumables, including, for example, contact tips, wire drive liners, and drive rolls, and to monitor usage of wire and gas.

A process plan optimization method for manufacturing a workpiece by adding a material in a plurality of layers is provided. The method includes: building a predicting model, the predicting model configured to predict a temperature variation of at least a portion of the workpiece; predicting an expected temperature variation of the portion of the workpiece to be manufactured during a given time period based on the predicting model and the process plan; and adjusting the process plan in response to the expected temperature variation of the portion failing to meet a preset condition, to make the expected temperature variation of the portion meet the preset condition.

A machine learning device included in a tool selecting apparatus includes a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result, and data related to a tool, and a learning unit that, by using the state variables, learns distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to data related to the tool.

A program editing device edits a machining program in which a machining path along which a wire electrode of a wire electrical discharge machine machines a workpiece is defined. The machining program includes a plurality of blocks corresponding to respective multiple partial paths into which the machining path is divided, each of the blocks including path information indicating the corresponding partial path. The program editing device includes an analyzer analyzing the machining program and thereby identifying a predetermined shape pattern formed by a series of the multiple partial paths in the machining path, an information generator generating shape information corresponding to the identified predetermined shape pattern, and an editor inserting the shape information into the machining program.

Systems, devices, and methods including selecting one or more sequences of machining types for a feature of one or more features, where the selection of the one or more sequences of machining types is based on the feature and a database of prior selections of machining types; selecting one or more tools for the selected one or more sequences of machining types, where the selection of the one or more tools is based on the feature, the selected one or more sequences of machining types, and a database of prior selections of one or more tools; and selecting one or more machining parameters for the selected one or more tools, where the selected machining parameters are based on the feature, the selected one or more sequences of machining types, the selected one or more tools, and a database of prior selections of one or more machining parameters.

The invention described herein generally pertains to a system and method for welder system that relates to creating a welding sequence for a welding environment in which the welding sequence is based upon real time data collected from a performed or previously performed welding procedure. Welding procedure information is collected and utilized to create a welding sequence to perform two or more welds in which at least one parameter is based on the collected welding procedure information (e.g., real world welding procedure).

The invention relates to a method for machining a workpiece by means of a milling tool arranged on a rotatable spindle, the spindle being moved relative to the workpiece or the workpiece being moved relative to the spindle along a machining path and, at the same time, the spindle rotating about a spindle axis. In said method, an improvement in the surface quality is achieved by controlling the rotational speed and/or the phase position of the rotation of the spindle along the machining path, the machining path comprising linear parallel tracks and the phase position of the spindle along the machining path being substantially the same on adjacent tracks, the phase position being controlled by varying the rotational speed of the spindle and/or the advancing speed of the spindle relative to the workpiece along the machining path.

Automated fixture layout is approached in two distinct stages. First, the spatial locations of clamping points on the work piece are determined to ensure immobility of the fixtured part under any infinitesimal perturbation. Second, spatial locations are matched against a user-specified library of reconfigurable clamps to synthesize a valid fixture layout or configuration that includes clamps that are accessible and collision free. The spatial locations matching during the second stage can be the same spatial locations chosen in the first stage to ensure immobility, or a different set of spatial locations.