36results about How to "Reduce load error" patented technology

Provided is a gantry type double-blade multi-axis numerical control cutting-carving all-in-one machine, comprising a gantry structure of a main machine base, a stand columns and a top beam, and a cross beam, a translation workbench, and power head assemblies. The machine is characterized in that the number of the power head assemblies is two. A first power head assembly and a second power head assembly do rotary motion respectively through two same worm gear rotation executive devices, and are respectively connected with a left cross-shaped sliding plate and a right cross-shaped sliding plate through a linear guide rail pair, and are respectively driven by a hydraulic mechanism and are slidably cooperated up and down along the linear guide rail pair. The left cross-shaped sliding plate and the right cross-shaped sliding plate are arranged on two sides of the cross beam, and are slidably cooperated with the cross beam through a cross-shaped sliding plate drive device. The cross beam is slidably cooperated along the stand columns in an up-down manner through a cross beam elevating device which is arranged on the top beam. The translation workbench is hinged with an auxiliary rotary workbench. The auxiliary rotary workbench is cooperated with the translation workbench through an auxiliary rotary workbench shaft, and is locked by a locking device. Single machine can complete all processes, and can complete a plurality of processes by one-time assembling. The machine is high in processing precision and high in work efficiency.

The invention discloses a load correction method applied to undercarriage loading. The method comprises the steps of 101, installing a loading device on an undercarriage; 201, acquiring corresponding test data between the offset, in the heading direction of the undercarriage, at the position where the loading device is connected with the undercarriage and a load multiple times through testing; 301, fitting the test data obtained in the step 201 into a formula by means of the least square method; 401, obtaining the offset, in the heading direction of the undercarriage, at the position where the loading device is connected with the undercarriage according to a preset load by means of the formula obtained in the step 301; 501, adjusting the loading device so as to counteract the offset. In this way, load error generated by an undercarriage loading system is effectively reduced so that the test load error can meet the control requirement, and then the problem that offset exists in the prior art is solved.

The invention provides a microsphere probe preparation method based on microcantilever transfer, which belongs to the technical field of micro-nano manufacturing. The invention has simple process and low cost, and can be used for the preparation of microsphere probes for micro-nano processing or indentation mechanical properties testing; the invention can realize flexible bonding of any granular material, and can be matched with any receptor platform arbitrarily; The cantilever can act as a transfer layer while transferring the microspheres, increasing the contact area between the microspheres and the receptor platform, thereby reducing the contact pressure to reduce the deformation of the receptor platform; Accurate positioning of the tip of the body, and can avoid the small size of the microspheres completely immersed in the glue during bonding, polluting the surface of the microsphere probe.

The invention discloses a loading method and device of an intelligent logistics environment robot. The method comprises the following steps that firstly, cargo information is acquired in real time; secondly, the coordinates of the placement positions of cargoes in to-be-loaded areas corresponding to conveying addresses are calculated; thirdly, a classification robot is utilized for clamping the cargoes to the corresponding to-be-loaded areas used for temporary storage from a conveying belt; fourthly, the coordinates of the final positions of the cargoes in loading areas of an AGV intelligent carrier; and fifthly, the cargoes are carried to the loading areas of the AGV intelligent carrier according to a control matrix obtained by an intelligent carrying control model. The cargo sizes, the cargo conveying addresses, the cargo position coordinates and other information are automatically acquired by combining machine vision, the classification robot and the intelligent carrier are utilizedfor automatically and intelligently classifying and loading the cargoes by setting up a neural network model, the loading error rate is greatly reduced, and the loading efficiency is improved.

The present invention provides a packaging support structure and a light-emitting device comprising the packaging support structure. The packaging support structure includes: a casing, the casing includes a light-emitting surface, a backlight surface, a bottom surface and a groove, and A conductive bracket, the conductive bracket is partially covered by the housing, and the conductive bracket includes a first pin and a second pin separated from each other, the first pin and the second pin Each lead includes an electrode portion and a bent portion, the electrode portion is exposed from the housing through the groove, and the electrode portion of the bent portion extends outward to the outside of the housing and toward The bottom surface of the housing is bent; one of the first pin and the second pin further includes a heat dissipation part, and the heat dissipation part extends outward from the electrode part and extends from the The backlight surface of the casing is exposed, and the packaging support structure provided by this embodiment achieves the effect of reducing the error of the upper part and effectively removing heat energy.