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Moldflow Monday Blog

Kansai Enko Aya Top May 2026

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.

For more news about Moldflow and Fusion 360, follow MFS and Mason Myers on LinkedIn.

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# One-hot encoding for characters # Assuming 'characters' is a list of unique characters characters = data['character'].unique() data = pd.get_dummies(data, columns=['character'], prefix='cosplay')

# Example application data['image_array'] = data['image_path'].apply(lambda x: load_and_preprocess_image(x))

# Assume 'data' is a DataFrame with 'image_path' and 'character' columns

def load_and_preprocess_image(path, target_size=(224, 224)): img = load_img(path, target_size=target_size) img_array = img_to_array(img) return img_array

import pandas as pd from PIL import Image from tensorflow.keras.preprocessing.image import load_img, img_to_array import numpy as np