AI technology is rapidly transforming global industries and becoming a key force driving upgrades and progress. In the field of smart manufacturing, AI enhances efficiency and effectiveness across various stages, from R&D design, process optimization, quality monitoring, to supply chain management. As an innovative leader in the plastic molding field, CoreTech Systems focuses on two major technologies: “Industry 4.0 Smart Manufacturing and Digital Twin” and “Cloud Big Data and AI-Driven Simulation.” They have launched the plastic molding smart Q&A robot—MoldiBot—on the Moldiverse cloud service platform, providing round-the-clock technical support. Additionally, CoreTech Systems assists customers in implementing Automation, Optimization, and Intelligence efficiency enhancement solutions, accelerating mold development efficiency. Furthermore, CoreTech Systems has collaborated with the Industrial Technology Research Institute’s Mechanical and Systems Research Institute to develop Generative AI mold cooling channel generation technology, helping customers stay ahead in the AI transformation and embrace future opportunities and challenges.
Introduction
AI technology has become the core driving force of Industry 4.0, propelling the manufacturing industry towards greater automation and intelligence. According to analysis by the Boston Consulting Group, AI applications can significantly help the manufacturing industry reduce costs and increase efficiency, with average production efficiency improving by 15% to 20%, while operational costs can be reduced by up to 30%. The year 2025 will not only be a key year for the widespread adoption of AI technology but also an important starting point for reshaping industrial patterns and creating an intelligent future. In this global technological wave, the ability to seize the opportunities presented by AI will determine the competitive advantage and development direction of businesses and societies for decades to come.
Moldex3D, as a global leader in mold flow analysis solutions, has a business presence across five continents, including the Americas, Europe, and Asia. The total number of users has exceeded 5,500. It’s technology is widely applied in several high-end industries, such as electric vehicle manufacturing, semiconductor packaging, consumer electronics, medical equipment, and optical components. This article will delve into the development of Moldex3D in two core technological areas: “Industry 4.0 Smart Manufacturing and Digital Twins” and “Cloud Big Data and AI-Driven simulation.”
Creating an Automation, Optimization, and Intelligence Efficient Enhancement Solution for the Plastics Manufacturing Industry to Help Enterprises Reduce Costs and Increase Efficiency
CoreTech Systems integrates its Moldiverse cloud service platform, Moldex3D mold flow analysis, and iSLM data management platform to create an Automation, Optimization, and Intelligence efficiency enhancement solution for the plastics manufacturing industry. This solution helps enterprises achieve a closed-loop management system for the entire mold development process, introducing automated analysis and forecasting (Auto Launch), Molding Window Advisor, and AI Discovery data science analysis functions (Gate Design Discovery, Mold Design Discovery, Process Discovery). This helps enterprises improve mold development efficiency and product quality.
In the process of digital transformation in the manufacturing industry, a large amount of data is generated. How to structure, store, and utilize this data has become a key to improving efficiency and competitiveness. Moldex3D iSLM (Intelligent Solution Lifecycle Management) is a data management platform for mold design and mold trial processes. It can be used to manage the development processes and data for product design, mold design, and molding trial, ensuring data consistency and traceability through standardized data formats and classification systems. The data is visual, allowing the team to work more efficiently and laying a solid foundation for the development of AI applications.
In the mold development process, during the design concept and specification confirmation stages, developers can simply upload the new product CAD files provided by the customer to the iSLM Database. The system will automatically perform shape recognition using AI and finding similar cases from the database to serve as references for the new product mold design. Gate Design Discovery uses intelligent technology to generate AI-driven gate designs, addressing the highly repetitive and inefficient issues in the gate design process while significantly improving design accuracy and efficiency. Through AI shape recognition, the system can intelligently apply successful past cases to new design projects, greatly shortening the design time. The automatically generated gate designs are not only accurate but can also be further adjusted according to requirements, making it easier for designers to complete complex designs and simplifying and accelerating the entire gate design process.
Mold Design Discovery uses intelligent technology for AI mold design evaluation, addressing critical issues in the mold design process and enhancing decision-making efficiency. By utilizing AI shape recognition, users only need to upload CAD files to quickly estimate key information, such as the number of gates, machine selection, injection pressure, and clamping force distribution probabilities for new plastic part designs. These data can be used for product cost estimation and quote forecasting, helping mold developers make more informed business decisions at an early stage. The system also has a material screening feature, which filters project data based on different materials, further improving the accuracy of the evaluation results.
In the product design and mold design stages, CAE mold flow analysis plays a crucial role by simulating the flow behavior of plastic in the mold. This helps optimize both design and manufacturing processes, perform DFM studies and reduce potential issues. During the product design stage, it assists in optimizing product geometry, wall thickness, and material selection, while identifying potential defects early to reduce design modifications and mold trial iterations, thus shortening the development cycle. In the mold design stage, mold flow analysis optimizes the design of gates, runners, and cooling systems, ensuring even plastic filling of the cavities and improving cooling efficiency. This helps reduce product deformation and residual stresses, and also predicts the strength and deformation of the mold, ensuring its durability. To accelerate the product and mold design process, iSLM 2025 offers a variety of mold flow analysis automation features. It automatically creates projects, significantly simplifying the operation process, eliminating tedious parameter settings and manual intervention. This allows for rapid design verification and optimization, effectively shortening the product development cycle and reducing the risk of human errors. iSLM not only stores intelligent assets but also activates them, extending more intelligent applications, and creating a dedicated data science platform.
In the process of mold flow analysis, engineers often face challenges such as complex designs, multi-objective trade-offs, and time-consuming parameter adjustments. While these issues can be resolved through mold flow analysis, traditional methods require manual parameter settings and multiple simulations, and the results may not achieve optimization. Moldex3D 2025 AI Optimization Wizard integrates intelligent tools, allowing users to utilize a more user-friendly optimization tool. By simply providing parameter ranges, it can automatically recommend results that meet the requirements. This tool is not only applicable for single-objective designs but also effectively handles multi-objective design needs, significantly improving development efficiency and design quality, helping to accelerate product innovation.
Finally, during the trial molding phase, CoreTech Systems provides the Molding Window Advisor app on the Moldiverse cloud service platform. After customers download and install it, they can automatically run the CAE scientific trial molding process in Moldex3D and receive suitable molding parameters to assist with on-site machine adjustments. Process Discovery combines the Moldex3D analysis project results from Molding Window Advisor and uses deep learning data science methods to build an AI prediction model. This model provides real-time prediction capabilities, so when molding conditions change, it can quickly generate molding results as references for machine adjustments. Users can upload the AI prediction model to the iMolding Hub’s trial molding guidance feature to assist with mold trial adjustments via a mobile browser.
CoreTech Systems’ Automation, Optimization, and Intelligence Efficiency Enhancement Solution, with Moldex3D molding simulation analysis at its core, helps customers build an iSLM Database mold case library. By combining technologies such as Automation, Optimization, and Intelligence, it not only shortens the mold design iteration cycle but also comprehensively improves mold development efficiency. This makes the entire mold development process more intelligent and efficient, accelerating the realization of smart molding and truly implementing the company’s goal of ‘creating value, reducing costs, and increasing efficiency.
Intelligent Assistant for the Plastics Manufacturing Industry – Moldibot Plastic Injection Molding Q&A Robot
With the rise of Industry 4.0 smart manufacturing, CoreTech Systems deeply recognizes that Moldex3D should not just be a mold flow analysis tool, but should also be integrated into the production process in various forms, providing digital twin for every stage from design to manufacturing with the aim to become a key driver of smart industrialization under Industry 4.0. To achieve this, CoreTech Systems has launched the cloud platform “Moldiverse,” which includes five core functions: University (Plastic Processing and Molding Learning Digital Platform), MHC- Materials Hub Cloud (Plastic Molding Material Database), iMoldingHub (Machine Digital Twin), Forum (Technical Forum), and Moldibot (Q&A Robot). These functions not only assist clients in building, preserving, and managing knowledge assets, but also effectively promote digital transformation within companies, enhancing overall competitiveness.
Moldibot is the latest functionality to be added to the Moldiverse. MoldiBot is a plastic injection molding Q&A robot that uses ChatGPT as its core language model. It combines Moldiverse and Moldex3D’s rich resources, including training courses, technical documents, tutorial videos, and more. By utilizing Retrieval-Augmented Generation (RAG) technology, it enhances its learning and provides generative AI capabilities. MoldiBot offers 24/7 real-time support to help customers solve various plastic injection molding issues, becoming their most reliable intelligent assistant. Through Moldiverse’s interactive interface, users can easily ask MoldiBot questions and receive accurate and detailed answers within seconds, significantly reducing search time and effectively boosting work efficiency and productivity. MoldiBot not only provides text-based responses but also includes links to related technical documents, enabling users to delve deeper into the issue and access comprehensive information support. Additionally, MoldiBot supports multiple languages, breaking down language barriers and allowing global users to use it without difficulty. Whether it’s a technical issue or an operational challenge, MoldiBot offers assistance through smooth communication, providing an exceptional user experience and further promoting the digital transformation and smart upgrades of the plastic injection molding industry.
Generative AI Drives AI Agent Development, CoreTech Systems Helps the Manufacturing Industry Step into the New Era of Intelligent Molding.
With the global surge in generative AI driven by ChatGPT, the attention towards AI technology has reached unprecedented heights. Generative AI presents both a huge challenge and a rare opportunity. In response to the rise of generative AI, CoreTech Systems has collaborated to develop the Generative AI mold cooling channel generation technology. This technology, based on Large Language Models (LLM), uses input from product and mold descriptions and CAD files as prompts, automatically generating cooling channel design suggestions that meet the requirements. The final design is then optimized and verified using Moldex3D, opening a new chapter in intelligent plastic injection molding.
We invite you to attend the Moldex3D Symposium 2025 to explore how embracing AI can transform your plastic injection molding processes. For more information and to register, visit our website Moldex3D Symposium 2025.
