This disclosure describes manufacturing of a device configured to guide bone and tissue regeneration for a bone defect. A method may include receiving a three-dimensional digital model or scan representing an anatomical feature to be repaired, generating a simulated membrane using the three-dimensional model, the simulated membrane being configured to cover the anatomical feature to be repaired, generating a digital two-dimensional flattened version of the simulated membrane, and generating code or instructions configured to cause a three-dimensional printer or milling device to produce a trimming guide that includes an opening corresponding to the flattened version of the simulated membrane and that further includes a cut-out configured to hold a premanufactured membrane. The trimming guide may be operative as a guide for marking or cutting the premanufactured membrane through the opening while the premanufactured membrane is held in the cut-out.

A cutting support apparatus includes an input unit that receives shoe last data, a storage in which a shape and a type of a plurality of plate-like parts are stored, a processor that generates a cutting pattern for cutting the plurality of plate-like parts from a plate-like member having a predetermined size based on the shoe last data and the shape of the plurality of plate-like parts, and an output unit that outputs the cutting pattern. The processor divides an area of the plate-like parts to be arranged in the plate-like member into a plurality of areas in accordance with the type of the plate-like parts that form the shoe last, determines positions of the plurality of plate-like parts to be arranged in each of the areas based on an arrangement condition, and generates the cutting pattern.

A method of manufacturing is provided, including forming a metal frame of a head-mounted computing device shaped as a pair of eyeglasses. Forming the metal frame may include additively manufacturing the metal frame of the head-mounted computing device by performing laser sintering on aluminum powder or titanium powder. Forming the metal frame may further include removing an outer surface of the metal frame via a reductive process.

A processing system includes a cutting tool for milling, a plurality of sensors, and a processing unit. The plurality of sensors each is configured to measure a physical quantity that indicates a state related to loads on the cutting tool during cutting. The processing unit is configured to generate, based on measurement results from the respective sensors at a plurality of measurement time points, measurement data that is related to the loads in two directions on a plane perpendicular to a rotation axis of the cutting tool and that includes two-dimensional data at each of the measurement time points, and to perform a determination process concerning cutting in which the cutting tool is used, based on a two-dimensional shape indicated by the generated measurement data.

The disclosure provides a method to estimate tool life on a cutting machine. A sensor is installed on the cutting machine to measure the cutting thrust of a cutting tool during operation. Specifically, the information gathered from the sensor enables the cutting tool to cut a workpiece at different settings of cutting rate, with a maximum cutting thrust of the cutting tool measured during each cut, and defined as a characteristic signal. Through the characteristic signals obtained from the multiple cuts, factorization processing and inverse processing are initiated to obtain plural values in a complex remaining life index for the cutting tool. Using the cutting rate as the horizontal axis and the remaining life as the vertical axis, the complex remaining life and corresponding cutting rates are plotted on the vertical axis and the horizontal axis to form a line graph illustrating the complex remaining life index.

A calibration method for machine tools comprises: providing a workpiece on a machine tool; rotating the workpiece around a first rotation axis parallel to a main shaft of the machine tool and processing the workpiece by a first machining mode; measuring a first dimensional error of a shape of the workpiece along directions of first and second linear axes perpendicular to the first rotation axis; calculating a positional error of the first rotation axis according to the first dimensional error; rotating the workpiece around a second rotation axis perpendicular to the main shaft and processing the workpiece by a different second machining mode; measuring a second dimensional error of the shape of the workpiece along a direction of a third linear axis perpendicular to the second rotation axis; calculating a positional error of the second rotation axis according to the second dimensional error.

A method includes scanning a thickness of a workpiece in at least one point using a thickness sensor, determining that the workpiece is out of alignment in a cutting machine using the thickness sensor, and realigning the workpiece relative to the cutting machine or adjusting a machining operation using a controller of the cutting machine in response to determining that the workpiece is out of alignment.

The disclosed technology relates to an intelligent motion control system that utilizes onboard sensors and processing to guide a surface manipulation machine along a path of travel on a surface, confirm a position of the machine with respect to the surface, and actuate a surface manipulation tool to achieve a desired surface profile or locate a point of interest. The system may include a first and second surface profiler that is configured to scan a surface on which the system travels and a positional sensor configured to generate positional data representing a position of the machine. The processor is configured to generate topography data based on output received from the first surface profiler, generate intermediate data based on output received from the second profiler, compare the intermediate data with the topography data to calculate an offset; and control motion of the system based on the offset.

A cutting system includes a cutting tool for milling, a plurality of sensors, and a processor, wherein the cutting tool performs a cutting process using two or more cutting blades, the plurality of sensors measure a physical quantity indicating a state regarding a load of the cutting tool at a time of the cutting process, and the processor generates, based on measurement results of the sensors at a plurality of measurement timings, two-dimensional data for each measurement timing, the two-dimensional data regarding the load in two directions on a plane perpendicular to a rotation axis of the cutting tool, classifies pieces of the generated two-dimensional data into any of a plurality of unit regions, a number of which is equal to or greater than a number of the cutting blades on the plane, and detects, based on the two-dimensional data for each unit region, an abnormality of the cutting blade.

Disclosed is a craniotomy milling system, which includes a computer numerical milling machine having a spindle configured to be positioned relative to a craniotomy location of a cranium of a patient and an end mill. The craniotomy milling system includes a controller for controlling the feed rate of the end mill. The craniotomy milling system includes an impedance measurement system and an axial force sensor. The craniotomy milling system includes a processor electrically coupled with a controller, the impedance measurement system, and the axial force sensor. The processor is configured to send a signal to the controller to change the feed rate of the end mill in response to a change in impedance or a change in axial force.