Product overview
S-Life Plastics is a fatigue life prediction software specifically designed for plastic components. It integrates with FEA tools to assess the durability of plastic parts under various loading conditions, helping engineers make informed decisions about material selection and design improvements.Operating Systems
Windows
Linux
Data Storage
On-Premises Storage
Industry served
|
Aerospace |
Automotive |
Construction Equipment |
|
Energy |
Electronics & Hi-Tech |
Marine & Offshore |
|
Packaging |
Medical/ Healthcare |
Defence |
|
Consumer Products |
Education & Research |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Simulation types
|
Fill Analysis
Fill Analysis: Evaluates how the molten plastic fills the mold cavity, identifying potential issues like premature solidification that can affect the quality of the molded part
|
Short Shot Detection
Short Shot Detection: Identifies areas in the mold that may not fill completely before the plastic solidifies, leading to incomplete parts
|
Injection Location Positioning
Injection Location Positioning: Determines the optimal positions for injection points to ensure uniform flow and quality of the final part
|
|
Analyzing Sink Marks
Analyzing Sink Marks: Predicts areas on the part that might have sink marks due to uneven cooling or material shrinkage, affecting surface quality
|
Air Traps Detection
Air Traps Detection: Identifies areas where air might be trapped within the mold cavity during injection, causing defects in the final product
|
Gate Blush Reduction
Gate Blush Reduction: Aims to reduce or eliminate gate blush, a surface defect caused by rapid shear rates at the gate, through simulation and optimization
|
|
Packing Analysis
Packing Analysis: Simulates the packing phase, where additional material is injected to compensate for shrinkage, ensuring dimensional accuracy and structural integrity
|
Weld Line Detection
Weld Line Detection: Predicts the formation of weld lines, which are weak points in the molded part where two flow fronts meet
|
Warpage Predictions
Warpage Predictions: Estimates the deformation of the part as it cools and solidifies, helping to modify mold design and processing parameters to minimize warpage
|
|
Shrinkage Predictions
Shrinkage Predictions: Predicts how much the material will shrink after cooling, crucial for achieving dimensional accuracy
|
Cooling Analysis
Cooling Analysis: Simulates the cooling channels and phase to optimize the cooling time and minimize thermal stresses
|
Multiple Cavity Molds
Multiple Cavity Molds: Analyzes the behavior of molds with multiple cavities, ensuring balanced filling and consistent quality across all parts
|
|
Valve Gate Control
Valve Gate Control: Simulates the timing and sequence of valve gate opening and closing in hot runner systems to control the flow of molten plastic
|
Hot Runner Balance
Hot Runner Balance: Ensures that the hot runner system is correctly balanced for uniform temperature and pressure distribution, improving part quality
|
Co-injection Molding
Co-injection Molding: Simulates the process of injecting two different materials into one mold cavity, either simultaneously or sequentially
|
|
Bi-injection Molding
Bi-injection Molding: Similar to co-injection but typically refers to the sequential injection of two materials for layered or two-tone parts
|
Gas Assist Molding
Gas Assist Molding: Simulates the injection of gas into the plastic part to create hollow sections, reducing weight and material usage
|
Water Assist Molding
Water Assist Molding: Similar to gas assist molding but uses water for the injection process, offering faster cooling times and improved part quality
|
|
Mold Insert Analysis
Mold Insert Analysis: Evaluates the impact of inserts (e.g., metal parts) on the molding process, including temperature distribution and potential defects
|
Fiber Orientation Analysis
Fiber Orientation Analysis: Predicts the orientation of fibers in composite materials, affecting the part's mechanical properties
|
Residual Stress Analysis
Residual Stress Analysis: Estimates the stresses remaining in the part after molding, which can lead to warpage, cracking, or other issues
|
|
Cycle Time Optimization
Cycle Time Optimization: Identifies ways to reduce the overall cycle time of the molding process without compromising part quality
|
Rheological Properties Analysis
Rheological Properties Analysis: Studies the flow behavior of the plastic material under different conditions to predict how it fills the mold
|
Analysis for Optical Properties
Analysis for Optical Properties: Evaluates how the molding process affects the optical clarity and properties of parts, important for lenses and transparent components
|
|
Thermal Stress Analysis
Thermal Stress Analysis: Assesses the thermal stresses induced during the molding process, which can affect part integrity and performance
|
Viscoelastic Property Simulation
Viscoelastic Property Simulation: Simulates the time-dependent behavior of materials that exhibit both viscous and elastic characteristics when deformed
|
Chemical Blowing Agents
Chemical Blowing Agents: Analyzes the effect of chemical blowing agents used in creating foamed plastic parts, affecting density and structural properties
|
|
Reactive Molding Simulations
Reactive Molding Simulations: Simulates reactive molding processes, such as reaction injection molding (RIM), where chemical reactions occur during molding
|
Powder Injection Molding
Powder Injection Molding: Analyzes the injection molding of powdered materials mixed with a binder, a process used for metal and ceramic parts
|
Quality Prediction
Quality Prediction: Uses simulation data to predict the overall quality of the molded part, considering factors like surface finish, structural integrity, and dimensional accuracy
|
No record