A device (20) for root-rolling a thread (T) on an object (O) includes: a body (21), an accumulator piston (24) mounted for sealed sliding movement within a body passageway (22), a coarse adjustment screw (25) threaded onto the body, a Belleville spring stack (26) compressed between the coarse adjustment screw and the accumulator piston, an actuator piston (28A or 28B) mounted for sealed sliding movement within a cylindrical opening (23) in the body, and a thread roll (32) rotatably mounted on the actuator piston. A fine adjustment screw is threaded (33) into a first opening (34) on the body, and communicates with a fluid chamber between the accumulator and actuator pistons. The positions of the coarse and fine adjustment screws may be selectively adjusted to controllably vary the fluid pressure within the chamber. The device may be mounted on a machine tool (35) and selectively moved toward the object to root-roll a thread on the object when the object and device are rotated relative to one another.

A device (20) for root-rolling a thread (T) on an object (O) includes: a body (21), an accumulator piston (24) mounted for sealed sliding movement within a body passageway (22), a coarse adjustment screw (25) threaded onto the body, a Belleville spring stack (26) compressed between the coarse adjustment screw and the accumulator piston, an actuator piston (28A or 28B) mounted for sealed sliding movement within a cylindrical opening (23) in the body, and a thread roll (32) rotatably mounted on the actuator piston. A fine adjustment screw is threaded (33) into a first opening (34) on the body, and communicates with a fluid chamber between the accumulator and actuator pistons. The positions of the coarse and fine adjustment screws may be selectively adjusted to controllably vary the fluid pressure within the chamber. The device may be mounted on a machine tool (35) and selectively moved toward the object to root-roll a thread on the object when the object and device are rotated relative to one another.

Method and apparatus are provided for processing and changing the physical characteristics of a metal workpiece into a final metal component. Predetermined processing parameters are established for achieving a final metal component. The metal workpiece is positioned securely on a support during the changing of the physical characteristics. Impacts are applied to a surface of the workpiece multiple times for achieving the final metal component while controlling the impacting with the predetermined processing parameters. A sensor is provided for continuously sensing the currently existing physical conditions of the workpiece during impacting. The predetermined processing parameters are changed into adjusted processing parameters and the impacts are changed in reaction to the currently existing physical conditions of the workpiece from the sensing and processing of the workpiece until the final metal component has been achieved.

A machine learning device is provided with: an input data obtaining unit that, in burnishing process in which a processing surface of an arbitrary workpiece is surface-treated with an arbitrary tool, obtains as input data processing information including information of the workpiece prior to the burnishing process and information of a processing condition; a label obtaining unit that obtains label data indicating processed state information including a processed state of the workpiece after the burnishing process and surface roughness of the workpiece when the processed state is normal; and a learning unit that carries out supervised learning using the input data and the label data thus obtained to generate a learned model to which processing information of an upcoming burnishing process is input and which outputs processed state information for the burnishing process.

A machine learning device is provided with: an input data obtaining unit that, in burnishing process in which a processing surface of an arbitrary workpiece is surface-treated with an arbitrary tool, obtains as input data processing information including information of the workpiece prior to the burnishing process and information of a processing condition; a label obtaining unit that obtains label data indicating processed state information including a processed state of the workpiece after the burnishing process and surface roughness of the workpiece when the processed state is normal; and a learning unit that carries out supervised learning using the input data and the label data thus obtained to generate a learned model to which processing information of an upcoming burnishing process is input and which outputs processed state information for the burnishing process.

A method of operation is provided during which a tool is arranged with a surface of a component. The tool includes a roller contacting the surface. A rolling operation is performed on the surface using the roller. A vibration operation is performed on the surface through the roller concurrently with the performing of the rolling operation.

A method and a device for induced formation of solid lubricant comprises providing (S10) of an article (10) to be processed. The article is exposed (S20) to a process fluid (34) comprising a solvent, impact media (20) and additives of solid-lubricant precursor substances. The solvent is a low-volatile high-flash solvent. The impact media are non-abrasive hard particles. The additives of solid-lubricant precursor substances are surface-reactive compounds serving as carriers of at least one of S, P, B and of at least one refractory metal. A velocity difference between surfaces (12) of the article and the impact media is created (S30). This causes impacts between the impact media and the article. Solid lubricant substances are formed (S40) on the surfaces by chemical reactions. The chemical reactions comprise the solid-lubricant precursor substances and are induced by the energy of the impacts. The chemical reactions take place at the surfaces of the article.