New energy vehicles, precision electronics and other industries have increasingly stringent requirements on the quality, delivery date and cost of injection molding parts. Digital twin and AI-driven manufacturing have become essential questions for injection molding products enterprises to enhance their competitiveness: whoever gets through CAE simulation data and on-site NORITZ data first test mode can seize the first opportunity of intelligent manufacturing.

However, are you often troubled by the following problems in reality?

l CAE projects are scattered in hard disks, CDs and briefing papers, but I can't find a historical case;

l On-site test mode depends on paper form records, and it is difficult to form effective comparison and verification between virtual simulation and actual test mode data;

l The mold case is highly dependent on the experience of the old master. It is difficult for newcomers to get started, the design has been revised repeatedly, and the quotation is hopeless;

l gate design and molding condition debugging take time to consume materials, and the trial and error cost remains high;

l data assets cannot be accumulated, and every new project is "rebuilding wheels"......

In fact, to break data silos and get rid of experience dependence, a set of "data AI" integrated model flow management platform is the key. Moldex3D iSLM cloud system can integrate processes, work, and data into the same cloud. Project Upload, online preview, and test mode comparison are completed. Team collaboration can trace traces.

What is more breakthrough is its built-in AI intelligent module: uploading 3D models of products can search for similar historical cases with one click, and automatically recommend the type and size of the gate; AI neural network model can quickly predict key indicators such as clamping force, shrinkage rate, and molding cycle, and avoid defects such as warpage and short shot in advance. Supporting enterprise knowledge base and visual quality Kanban, accumulate the whole factory process experience, mold opening case and customer quotation are supported by reliable data.

To help practitioners grasp the digital landing method intuitively, on August 25, 2026, 14:00-15:00, Zhang Wei, technical manager of science and technology Greater China in corise, will be invited to be a guest in Jung's online classroom, combined with actual combat cases, the iSLM automation and AI practical operation process is fully demonstrated, and exclusive Q & A is open for enterprise data management, cost reduction and efficiency improvement.

The number of places is limited. Welcome to scan the code to register and see how AI redefines precise process decisions.