Method and apparatus for the automated determination of an effective area for an emergency stop device(s) in an industrial plant is provided. In modern flexible installations, as will be increasingly found, (such as cyberphysical systems), the layout of the plant will be dynamically changeable. In such an environment, it is often impossible to manually prepare complete safety plan in advance for each potential environment. The proposed methods and apparatuses allow automatic calculations of operational configurations and effective regions of emergency stop devices in an industrial plant, allowing easy positioning of such devices. An improved method for recalculating the effective region after the layout of the plant or portions thereof changed is also provided.

Embodiments disclosed herein generally relate to methods, systems, and non-transitory computer readable medium for scheduling a substrate processing sequence in an integrated substrate processing system. A client device assigns a processing sequence to each substrate in a batch of substrates to be processed. The client device assigns a processing chamber to each process in the process sequence for each processing chamber in the integrate substrate processing system. The client device generates a processing model for the batch of substrates. The processing model defines a start time for each substrate in each processing chamber. The client device generates a timetable for the batch of semiconductor substrates based off the processing model. The client device processes the batch of substrates in accordance with the timetable.

Algorithmic reasoning about a cutting tool assembly's space of feasible configurations can be effectively harnessed to construct a sequence of motions that guarantees a collision-free path for the tool assembly to remove each support structure in the sequence. A greedy algorithm models the motion of the cutting tool assembly through the free-spaces around the intermediate shapes of the part as the free-spaces iteratively reduce in size to the near-net shape to determine feasible points of contact for the cutting tool assembly. Each support beam is evaluated for a contact feature along the boundary of the near-net shape that constitutes a feasible point of contact. If a support beam has at least one feasible configuration at each point, the support beam is deemed accessible and a collection of tool assembly configurations that are guaranteed to be non-colliding but which can access all points of contact of each accessible support beam can be generated.

An expandable valved conduit for pediatric right ventricular outflow tract (RVOT) reconstruction is disclosed. The valved conduit may provide long-term patency and resistance to thrombosis and stenosis. The valved conduit may enlarge radially and/or longitudinally to accommodate the growing anatomy of the patient. Further, a method is disclosed for the manufacture of the valved conduit based in part on a plastically deformable biocompatible polymer and a computer-optimized valve design developed for such an expandable valved conduit.

Techniques are described for receiving visualizing two-dimensional (2D) metric data in connection with a three-dimensional (3D) visualization data of a manufacturing process. In one example, a 3D visualization of machine-related data from a process session for manufacturing a particular workpiece is presented, the manufacturing process performed by a machine operating in 3D, the machine-related data associated with a path taken by a tool or end-effector associated with the machine and/or the machine itself during the manufacturing process session. At least one 2D data set is provided representing a metric associated with manufacturing process session. A particular set is selected for presentation within the presented 3D visualization of the machine-related data. A connection between values of the 2D metric set and the machine-related data of the 3D visualization is determined and, based on the connection, the selected 2D metric set is incorporated into the 3D visualization of the machine-related data.

Algorithmic reasoning about a cutting tool assembly's space of feasible configurations can be effectively harnessed to construct a sequence of motions that guarantees a collision-free path for the tool assembly to remove each support structure in the sequence. A greedy algorithm models the motion of the cutting tool assembly through the free-spaces around the intermediate shapes of the part as the free-spaces iteratively reduce in size to the near-net shape to determine feasible points of contact for the cutting tool assembly. Each support beam is evaluated for a contact feature along the boundary of the near-net shape that constitutes a feasible point of contact. If a support beam has at least one feasible configuration at each point, the support beam is deemed accessible and a collection of tool assembly configurations that are guaranteed to be non-colliding but which can access all points of contact of each accessible support beam can be generated.

A control system for an actuator includes a non-transitory computer readable medium storing a database in which first information, second information and third information are stored and correlated with each other, and processing circuitry that performs machine learning based on the first information, the second information and the third information stored in the database. The first information is associated with a rotational speed of a reducer in the actuator, the second information is associated with a torque acting on the reducer, the third information indicates a concentration of iron powder in grease in the reducer, and the machine learning builds a concentration estimation model indicating a relationship between the first information, the second information and the third information.

A method includes determining, by a processing device, a first eco-efficiency characterization associated with a first design of manufacturing equipment based on one or more of water eco-efficiency characterization, emissions eco-efficiency characterization, or electrical energy eco-efficiency characterization. The water eco-efficiency characterization, the emissions eco-efficiency characterization, the electrical energy eco-efficiency characterization, and the first eco-efficiency characterization are associated with an amount of environmental impact generated by the manufacturing equipment per unit product produced by the manufacturing equipment. The method further includes comparing the first eco-efficiency characterization to a second eco-efficiency characterization that is associated with a second design of the manufacturing equipment. The method further includes implementing the second design of the manufacturing equipment responsive to determining, based on the comparing, that the second eco-efficiency characterization is associated with a lower amount of environmental impact per unit product than the first eco-efficiency characterization.

Catalysts used for catalytic reforming are treated with organic chloride to condition the catalysts. Chloride treaters may be located in the product streams to remove the chloride contaminants. The continuous catalyst reforming process, including the catalyst reformer unit and chloride treaters, may be monitored in order to predict when adsorbent replacement or regeneration is needed. For example, one or more sensors and measurement devices may be used to monitor certain conditions or parameters. A system may be configured to take one or more actions in response to certain conditions or parameters being met.

Embodiments disclosed herein generally relate to methods, systems, and non-transitory computer readable medium for scheduling a substrate processing sequence in an integrated substrate processing system. A client device assigns a processing sequence to each substrate in a batch of substrates to be processed. The client device assigns a processing chamber to each process in the process sequence for each processing chamber in the integrate substrate processing system. The client device generates a processing model for the batch of substrates. The processing model defines a start time for each substrate in each processing chamber. The client device generates a timetable for the batch of semiconductor substrates based off the processing model. The client device processes the batch of substrates in accordance with the timetable.