A wooden panel component (1) is provided having at least two layers (4) of cross-pieces (5) arranged within its frame (2). The cross-pieces (5) are orientated obliquely to opposing frame sides (6,7) of the frame (2) for bracing the wooden panel element (1) and the frame (2) thereof.

A tool head is disclosed. The tool head has a frame, a tool connected to the frame, an inner rotation manifold connected to the frame, a rotation motor that rotates a spindle, and an outer rotation manifold surrounding the inner rotation manifold. The outer rotation manifold is connected to the rotation motor in a fixed manner. The spindle continuously rotates the inner rotation manifold inside of the outer rotation manifold around an axis of the inner rotation manifold, and the frame and tool are rotated with inner rotation manifold.

A method of wood shingle classification and sawing using machine vision comprises the steps of taking an image of a wood slab in a wood block and identifying a defect in that slab; comparing an image of this defect to images of confirmed defects in a database of confirmed defects to find a match of the defect in these images. If a match is not found, sawing a shingle from the slab and classifying the shingle while making abstraction of the defect. In a second aspect, when images of two consecutive shingles are identical, a third and subsequent shingles can be sawn from a block without taking images thereof. In another aspect, the comparing of images is done by an artificial intelligence system that is trained on a database of images that are associable to the subjectivity of experienced shingle sawyers.

Simulated bog-down system and method for power tools. One power tool according to an example embodiment includes a power source and a motor selectively coupled to the power source. The motor includes a rotor and stator windings. The power tool includes an actuator configured to generate a drive request signal and a power switching network configured to selectively couple the power source to the stator windings of the motor. The power tool includes an electronic processor coupled to the power source, the actuator, and the power switching network. The electronic processor is configured to detect a load on the power tool and compare the load to a threshold. The electronic processor is configured to determine that the load is greater than the threshold, and to control the power switching network to simulate bog-down in response to determining that the load is greater than the threshold.

Simulated bog-down system and method for power tools. One power tool according to an example embodiment includes a power source and a motor selectively coupled to the power source. The motor includes a rotor and stator windings. The power tool includes an actuator configured to generate a drive request signal and a power switching network configured to selectively couple the power source to the stator windings of the motor. The power tool includes an electronic processor coupled to the power source, the actuator, and the power switching network. The electronic processor is configured to detect a load on the power tool and compare the load to a threshold. The electronic processor is configured to determine that the load is greater than the threshold, and to control the power switching network to simulate bog-down in response to determining that the load is greater than the threshold.

An aerial saw is provided, including an elongated arm having a proximal end and a distal end; a saw blade rotatably connected to the elongated arm; an engine enclosure having a distal end and a proximal end, the engine enclosure coupled to the elongated arm; and a saw attachment member connected to the saw assembly between saw blade and the proximal end of the engine enclosure; the saw attachment member connected to a support structure at a first connection point.

An aerial saw is provided, including an elongated arm having a proximal end and a distal end; a saw blade rotatably connected to the elongated arm; an engine enclosure having a distal end and a proximal end, the engine enclosure coupled to the elongated arm; and a saw attachment member connected to the saw assembly between saw blade and the proximal end of the engine enclosure; the saw attachment member connected to a support structure at a first connection point.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

Simulated bog-down system and method for power tools. One power tool according to an example embodiment includes a power source and a motor selectively coupled to the power source. The motor includes a rotor and stator windings. The power tool includes an actuator configured to generate a drive request signal and a power switching network configured to selectively couple the power source to the stator windings of the motor. The power tool includes an electronic processor coupled to the power source, the actuator, and the power switching network. The electronic processor is configured to detect a load on the power tool and compare the load to a threshold. The electronic processor is configured to determine that the load is greater than the threshold, and to control the power switching network to simulate bog-down in response to determining that the load is greater than the threshold.

A computer-assisted shingle sawing method for recovery optimization using a 0-1 defect relative to the clear line, comprising the steps of taking an image of a next slab to be cut from a wood block; defining from that image, a clear line there-across; and locations of defect on that slab relative to the clear line, determining edge lines of shingles recoverable from the slab according to optimal shingle grade recovery; sawing the next slab along these edge lines, and sawing the next slab from the wood block, thereby releasing an optimum recovery of shingles from the slab. In another aspect there is provided a method for shingle recovery optimization using an optimization by inversion strategy, wherein the inclination of a parting line for cutting the next slab from the wood block is determined for optimal shingle grade recovery. There is also provided an installation for carrying out these methods.