G05B2219/35167

TOOL SELECTION DEVICE, METHOD, AND PROGRAM, AND NC PROGRAM CREATION SYSTEM
20210041856 · 2021-02-11 ·

A tool selection unit has an analysis unit and a selection unit. The analysis unit determines a pick feed direction and the feed direction of a tool on the basis of information relating to the shape of a machining region including a double curved surface or a machining surface in the machining region, and creates parameter information in which at least a value relating to the smallest curvature radius in the machining surface and a value relating to the largest curvature radius in the pick feed direction are recorded. The selection unit selects a tool to use for machining the machining region on the basis of the parameter information, from among a plurality of tools having a bottom cutting edge and a side cutting edge formed in a curved-surface shape having a curvature radius different from a curvature radius of a curved surface of the bottom cutting edge.

System and method for manufacturing article dynamic measurement, tool selection and toolpath generation
10739749 · 2020-08-11 · ·

A system and method capable of encoding design intent for an article of manufacture wherein the original design intent encoding is abstract from any particular manufacturing process or machine, but allows for dynamic process adjustment accounting for real-world variations of stock material such that the design intent is preserved and the processing time and effort are not significantly affected. Because design intent is preserved, tool selection and machine process can be optimized to maximize quality and minimize manufacturing time and cost.

SYSTEM AND METHOD FOR MANUFACTURED ARTICLE DYNAMIC MEASUREMENT, TOOL SELECTION AND TOOLPATH GENERATION
20200218222 · 2020-07-09 ·

A system and method capable of encoding design intent for an article of manufacture wherein the original design intent encoding is abstract from any particular manufacturing process or machine, but allows for dynamic process adjustment accounting for real-world variations of stock material such that the design intent is preserved and the processing time and effort are not significantly affected. Because design intent is preserved, tool selection and machine process can be optimized to maximize quality and minimize manufacturing time and cost.

METHOD AND SYSTEM FOR AUTOMATIC GENERATION OF COMPUTER-AIDED MANUFACTURING INSTRUCTIONS
20200201284 · 2020-06-25 ·

Methods, systems, and apparatus, including medium-encoded computer program products, for creating toolpaths for parts in Computer-Aided Manufacturing (CAM) include a method including: storing information regarding toolpaths used previously to manufacture parts using CAM systems and techniques, selecting stored toolpaths for use with a new part based on similarity of one or more features of the new part to one or more features of one or more previous parts, and using the selected toolpath(s) as a starting point for use in generating a new toolpath for the new part.

METHOD, APPARATUS, AND DEVICE FOR GENERATING RULED SURFACE MACHINING PATH AND MEDIUM

A method, an apparatus and a device for generating a ruled surface machining path, and a medium relate to the field of numerical control machining technologies. The method includes: acquiring each target ruled surface in a three-dimensional diagram of a target workpiece to be machined; generating a mathematical model of each target ruled surface according to each target ruled surface; determining a current machining speed according to the mathematical model and preset machining process parameters; and calculating machining path data corresponding to the target ruled surface according to the current machining speed. The technical problems of large errors and lack of control and compensation on natural defects of soft knife machining in the existing ruled surface machining method are solved. The beneficial effects of reducing errors of ruled surface machining and improving control and compensation on the natural defects of soft knife machining are obtained.

HOLLOW TOPOLOGY GENERATION WITH LATTICES FOR COMPUTER AIDED DESIGN AND MANUFACTURING

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where three dimensional (3D) models of the physical structures are produced to include lattices and hollows, include: obtaining design criteria for an object; iteratively modifying 3D topology and shape(s) for the object using a generative design process that represents the 3D topology as one or more boundaries between solid(s) and void(s), in combination with physical simulation(s) with a hollow structure and a lattice representation; adjusting a thickness of the hollow structure; adjusting lattice thickness or density; and providing a 3D model of the generative design for the object for use in manufacturing a physical structure corresponding to the object using one or more computer-controlled manufacturing systems. The providing can include generating instructions for manufacturing machine(s), which can employ various manufacturing systems and techniques, including additive, subtractive and casting manufacturing methods.

Tool-path correcting apparatus and tool-path correcting method

A tool-path correcting apparatus includes a cut-point calculating unit that calculates, on the basis of tool path data, tool data, and shape data, cut point information, which is information concerning cut points by a tool on a machining curved surface of a machining shape at the time when the tool is disposed at command points described in the tool path data, a correction-command-point extracting unit that extracts, on the basis of the tool path data and the cut point information, correction command points, which are command points that should be corrected, from command points described in the tool path data, a command-point-correcting-direction determining unit that determines, on the basis of the correction command points, command point correcting directions, which are directions in which the correction command points should be corrected, and a tool-path-data correcting unit that corrects the tool path data.

ENDMILL SPECIFICATION DESIGN METHOD, CUTTING CONDITION DETECTING METHOD, AND PROCESSING METHOD
20200061723 · 2020-02-27 · ·

Provided is an endmill (5). The maximum spindle speed, per one minute, of a main spindle to which the endmill is attached is Smax. The number of teeth of the endmill (5) is N. The outer shape of the endmill (5) is Da. The natural frequency at which vibrations at the end of the endmill (5) reach a maximum level is 1. 1 and/or N are set so that when the diameter-direction infeed amount of the endmill (5) is set to Rd: i) 160/N6<Smax, if Rd is at least 4% of Da; and ii) 160/N3<Smax, if Rd is less than 4% of Da.

MACHINING SYSTEM PROVIDED WITH MACHINE TOOL, METHOD OF REVISING PARAMETER FOR REVISING PARAMETER IN MACHINING SYSTEM, PROGRAM REVISION SYSTEM FOR REVISING MACHINING PROGRAM, AND METHOD OF REVISING PROGRAM
20240036549 · 2024-02-01 ·

This machining system comprises: a CAM device for generating, on the basis of three-dimensional shape data, a machining program including an operation code; and a numerical control device for controlling an electric motor of a machine tool. The machining system is provided with a monitoring device for detecting an abnormality of the machine tool on the basis of a drive state of the electric motor. The machining system is provided with a revision device for generating a revision command for revising a parameter for when the CAM device generates the machining program. The revision device transmits the revision command to the CAM device so as to revise the curvature of a tool path and/or the feed rate of a tool for when the abnormality occurred.

TOOLPATH GENERATION BY REINFORCEMENT LEARNING FOR COMPUTER AIDED MANUFACTURING

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using toolpaths generated by reinforcement learning for use with subtractive manufacturing systems and techniques, include: obtaining, in a computer aided design or manufacturing program, a three dimensional model of a manufacturable object; generating toolpaths that are usable by a computer-controlled manufacturing system to manufacture at least a portion of the manufacturable object by providing at least a portion of the three dimensional model to a machine learning algorithm that employs reinforcement learning, wherein the machine learning algorithm includes one or more scoring functions that include rewards that correlate with desired toolpath characteristics comprising toolpath smoothness, toolpath length, and avoiding collision with the three dimensional model; and providing the toolpaths to the computer-controlled manufacturing system to manufacture at least the portion of the manufacturable object.