SJ Group SCIENTIFIC MOLDING Introduction
May 14, 2022
Scientific molding is a systematic approach to injection molding, based primarily on the principles of the scientific method: developing and testing hypotheses, drawing conclusions, and delivering repeatable results. Develop and document the specifications, configurations and steps required to create a tightly controlled and repeatable manufacturing process using comprehensive data collection and analysis techniques.
The benefits of scientific molding:
The robust processes established by Scientific Molding, especially the data captured and recorded from the process, translate into consistent, repeatable, high-quality results with minimal setup on every production run, no matter when the run is complete or on the machine .
In fact, scientific forming provides at least 10 times more control than traditional forming methods, saving OEMs a lot of time, money and materials.
Scientific modeling also enables predictable reproducibility, process validation, and meeting basic compliance requirements with ease, which benefits highly regulated and complex industries such as healthcare.
Scientific molding process steps
To ensure optimal tool function and monitor quality testing, process and production engineers use the following methods to ensure process parameters are carefully set, documented and followed.
l Rheology Curve (or Viscosity Curve)
l speed analysis
l Cavity pressure reading
l Gate Seal (or Gate Freeze) Study
l Design of Experiments Testing (or Design of Experiments)
What is a Design of Experiments Testing?
Scientific Forming is a robust process, performed in part by professional engineers who have undergone extensive training and possess the appropriate level of Scientific Forming certification. SJ Group's scientific plastic surgery experts will do their best to help.
Scientific molding engineers oversee key stages of each project, especially tool validation and production, but know exactly how to optimize the production process, rather than using specialized injection molding sensors and software.
Achieving this level of knowledge requires a clear understanding of what's going on inside the tool. Engineers must interpret data well to identify and correct deviations from process templates or to efficiently configure existing tools on new production runs or on different machines.
