Microfluidic-based fiber formation methods and systems employ a computer vision and deep learning system and method to enable contactless sensing, analysis, and monitoring of key operational parameters within microfluidic crosslinking printheads on 3D bioprinters. Embodiments may employ object detection and/or semantic segmentation to facilitate the sensing, analysis, and monitoring. Deep learning can employ convolutional neural networks to localize and analyze the flow of different biological materials within the microchannels as well as to identify the operation of various microfluidic printhead on-chip components that can impact final quality of printed tissues. Printed tissues can include single-material fibers, including hollow filorezbers, as well as more complex coaxially-layered fibers.

The present invention relates to a molded product surface defect measuring apparatus, which includes a sensor module configured to detect a signal for performing a door closing/opening event or a lighting-on/off event of the molded product surface defect measuring apparatus, a lighting module configured to emit light required for measuring a defect in a surface of a molded product, a camera module configured to photograph the surface of the molded product, and a processor configured to control the lighting module and the camera module to perform the measuring of the defect in the surface of the molded product.

A press machine includes a press unit 101, a conveyance unit (102), a frame (103), an image capturing unit (104), a sensor (105), a controller (106), an inspection circuit (107), and a display (108). The frame (103) is arranged outside the press unit (101) The frame (103) includes a first leg (111a) and a second leg (111b), which are installed on a floor (161) on both sides of the conveyance unit (102), and a beam (112) laid between the first leg (111a) and the second leg (111b) while straddling the conveyance unit (102). The image capturing unit (104) is attached to the frame (103) installed on the floor (161) on both sides of the conveyance unit (102).

In systems for printing a viscous material, the printing and post processing of the viscous material are performed sequentially one after another. In an initial step, a viscous material is printed on a sample mounted on a receiver substrate using a donor module and a laser scanner, and then the donor module is replaced with a post processing system for performing a post processing operation (and vice versa). Multiple post processing operations can be performed, and multiple different materials can be printed on the same layer. The systems can increase the speed, resolution and diversity of materials printed on the same sample, and opens the possibilities for new designs.

A method of inspecting a composite component having a plurality of composite plies.

The method includes capturing an image of a cross section of the plurality of composite plies, the image including light reflection patterns corresponding to a plurality of reinforcing fibers within the composite plies of the composite component, identifying key points of the composite component on the image to define an area of interest, generating a plurality of profile lines in the image, processing along each of the plurality of profile lines to identify patterns corresponding to a layup of the plurality of reinforcing fibers, grouping identified patterns from the plurality of profile lines, comparing the identified patterns to an as-expected template of the plurality of composite plies in the composite component to evaluate a manufacturing process of the composite component, and determining whether the identified patterns match the as-expected template.

A controller for an injection molding machine includes processing circuitry. The processing circuitry is configured to store, in a storage, information on an action taken on the injection molding machine, user information indicating a user who has taken the action, and information on time for taking the action in association with each other, with respect to each of actions taken on the injection molding machine. The processing circuitry is further configured to refer to the storage to display, on a display, the number of actions taken by the user or time required for taking the actions by the user in a visually recognizable manner using a figure, with respect to each of users indicated in the user information.

An imprinting device includes a measurement unit detecting marks provided on a mold and a substrate, a substrate stage moving in a state of holding the substrate, and a control unit controlling the measurement unit and the substrate stage. The mold has first and second mark groups used for positional alignment with the substrate. The measurement unit acquires information on a relative positional relationship between the first mark group and the second mark group for each individual mold. The control unit controls the substrate stage to positionally align the mold and the substrate on the basis of the information on the relative positional relationship between the first mark group and the second mark group on a first mold and the mold, and information on a superposition error between the first mark group and the second mark group on the first mold and the marks on the substrate.

A technique for suppressing molding defects is provided. A control device of an injection molding machine includes: a mold clamping control unit that controls, with respect to an actual value of a mold clamping force for pressing a stationary mold and a movable mold after pressurizing of the mold clamping force is completed and before a molding material reaches parting surfaces of the stationary mold and the movable mold, a range of increase in the actual value of the mold clamping force after the molding material reaches the parting surfaces to an upper limit or less.