Moldflow Monday Blog

Fanuc Focas Python Today

Learn about 2023 Features and their Improvements in Moldflow!

Did you know that Moldflow Adviser and Moldflow Synergy/Insight 2023 are available?
 
In 2023, we introduced the concept of a Named User model for all Moldflow products.
 
With Adviser 2023, we have made some improvements to the solve times when using a Level 3 Accuracy. This was achieved by making some modifications to how the part meshes behind the scenes.
 
With Synergy/Insight 2023, we have made improvements with Midplane Injection Compression, 3D Fiber Orientation Predictions, 3D Sink Mark predictions, Cool(BEM) solver, Shrinkage Compensation per Cavity, and introduced 3D Grill Elements.
 
What is your favorite 2023 feature?

You can see a simplified model and a full model.

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Fanuc Focas Python Today

John ran the script, and to his delight, it worked seamlessly. The CNC machine received the data, executed the program, and sent back the machining results. John was able to monitor the process remotely and verify that the results were accurate.

# Send the data to the CNC machine cnc.write(100, data) # 100 is the address where the data will be written fanuc focas python

# Execute a program on the CNC machine cnc.exec_program(" machining_program") John ran the script, and to his delight,

John, a skilled CNC programmer, was tasked with automating a complex machining process on a FANUC-controlled CNC machine. The goal was to write a program that could read data from a file, send it to the CNC machine, and then retrieve the machining results. The catch was that the CNC machine was located in a different part of the factory, and John needed to control it remotely. # Send the data to the CNC machine cnc

# Read data from a file with open("data.txt", "r") as f: data = f.read()

John downloaded the FANUC FOCAS Python library and started studying the documentation. He was impressed by the simplicity and flexibility of the API. With FOCAS, he could read and write data to the CNC machine, execute programs, and even retrieve machining results.

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John ran the script, and to his delight, it worked seamlessly. The CNC machine received the data, executed the program, and sent back the machining results. John was able to monitor the process remotely and verify that the results were accurate.

# Send the data to the CNC machine cnc.write(100, data) # 100 is the address where the data will be written

# Execute a program on the CNC machine cnc.exec_program(" machining_program")

John, a skilled CNC programmer, was tasked with automating a complex machining process on a FANUC-controlled CNC machine. The goal was to write a program that could read data from a file, send it to the CNC machine, and then retrieve the machining results. The catch was that the CNC machine was located in a different part of the factory, and John needed to control it remotely.

# Read data from a file with open("data.txt", "r") as f: data = f.read()

John downloaded the FANUC FOCAS Python library and started studying the documentation. He was impressed by the simplicity and flexibility of the API. With FOCAS, he could read and write data to the CNC machine, execute programs, and even retrieve machining results.