Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes: obtaining a design space and design criteria for a modeled object including a design constraint on an acceptable likelihood of failure, wherein a statistical model that relates a structural performance metric to specific likelihoods of failure for material(s) is used to translate between the acceptable likelihood of failure and a value for the structural performance metric; iteratively modifying a generatively designed shape of the modeled object in the design space in accordance with the design criteria including the design constraint to stay under the acceptable likelihood of failure for the physical structure, wherein the numerical simulation includes computing the structural performance metric, which is evaluated against the design constraint; and providing the generatively designed shape of the modeled object for use in manufacturing a physical structure.

A display control system for displaying and controlling a screen, including: a first display instruction means that instructs the screen to display a first mode of the first machine tool; a second display instruction means that instructs the screen to display a second mode of the second machine tool; a third display instruction means that instructs the screen to display an image captured by the camera; and a control means that displays and controls, in response to receiving input of tool related information regarding a tool in the first mode, an image regarding the tool related information, which is obtained from the camera. The tool related information includes any one of a tool number, a pot number of a magazine accommodating the tool, a station number of a turret to which the tool is attached, and a tool correction value.

The purpose of the present invention is to provide a control device for a machine tool that can reliably chop chips while suppressing vibration of the machine tool. A control device (1) for a machine tool machines by relatively oscillating a tool and a workpiece, the control device comprising: an oscillation command generation unit (13) that calculates an oscillation amplitude and an oscillation frequency from a machining condition and generates an oscillation command; and a position-speed control unit (17) that relatively oscillates the tool and the workpiece on the basis of a superimposed command generated by superimposing the oscillation command generated by the oscillation command generation unit (13) on a position command or a position deviation. The oscillation command generation unit (13) changes the oscillation amplitude and/or the oscillation frequency during machining.

A systematic approach to constructing process plans for hybrid manufacturing is provided. The process plans include arbitrary combinations of AM and SM processes. Unlike the suboptimal conventional practice, the sequence of AM and SM modalities is not fixed beforehand. Rather, all potentially viable process plans to fabricate a desired target part from arbitrary alternating sequences of pre-defined AM and SM modalities are explored in a systematic fashion. Once the state space of all process plans has been enumerated in terms of a partially ordered set of states, advanced artificial intelligence (AI) planning techniques are utilized to rapidly explore the state space, eliminate invalid process plans, for instance, process plans that make no physical sense, and optimize among the valid process plans using a cost function, for instance, manufacturing time and material or process costs.

A 3D production apparatus and method that receives a 3D production file, the 3D production file containing at least one positional command defined based on an implicit representation, the at least one positional command including at least one parameter of the implicit representation. At least one tool command is generated based on the parameters of the implicit representation. A position of a tool is controlled based on the generated at least one tool command, to produce at least a portion of a 3D part corresponding to the 3D production file.

A tool including a tool surface and further including coding indicia linked, at least indirectly, with the surface of the tool, the coding indicia capable of being detected by a sensor, the coding indicia functioning as a pointer to information relating to said tool or its use.

A numerical controller controls a motor for driving at least one axis based on a machining program including information about a characteristic shape. The numerical controller includes: a characteristic shape reading unit configured to read information about a characteristic shape to be machined from a machining program including information about a characteristic shape; a section setting unit configured to set one or more set sections on a tool path is response to the information about the characteristic shape; and a motion parameter change unit configured to change at least one parameter to be used for controlling the at least ore axis outside the set section and inside the set section.

A management method for a cutting tool of a machine tool is provided. A user host imports a graphical data of a workpiece and a cutting tool database into CAM, and a user may select cutting tools to establish a complete machining process. T codes are replaced with electronic tags. Before executing a machine code comprising the electronic tags, the machine tool re-scans the cutting tools assembled at a tool turret and updates cutting tool arrangement information to ensure that the tool turret is equipped with the cutting tools used in the machining process. When the machine tool stores the electronic tags, a ready message is displayed for reminding an operator. When the electronic tags are not stored, the current storage location of a cutting tool lacked in the machining process or a warning message is displayed at the operation interface for reminding the operator.

A program generator extracts at least one machining process from a machining program, analyzes the machining process, generates information regarding the machining process, gives the machining process a score based on the information regarding the machining process, and determines a sequence of the machining process based on the given score. The information regarding the machining process includes a machining shape to be formed by the machining process. The machining process is given a score based on the machining shape.

A machine learning device for learning a threshold value of detecting an abnormal load in a machine tool, includes a state observation unit, and a learning unit. The state observation unit observes a state variable obtained based on at least one of information about a tool, main spindle revolution rate, and amount of coolant of the machine tool, material of a workpiece, and moving direction, cutting speed, and cut depth of the tool, and the learning unit learns the threshold value of detecting an abnormal load based on training data created from an output of the state observation unit and data related to detection of an abnormal load in the machine tool and on teacher data.