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Mold trial molding is an essential core step in manufacturing, directly determining product quality and production efficiency. Repeated adjustments during the trial molding stage increase production costs; therefore, reducing trial molding investment and improving the success rate of first-time trials is a key concern across the industry. This article outlines feasible paths to reduce repeated trial-and-error processes from both technical and management perspectives.

Scientific mold design is a prerequisite for reducing trial molding adjustments. Applying 3D CAD/CAM technology allows for the simulation of mold structure and product forming process in a virtual environment, enabling early identification of potential problems and optimization of design schemes. Using finite element analysis simulation tools, it is possible to predict mold stress deformation and cooling conditions, avoiding trial molding failures caused by structural design defects. Promoting standardized modular mold design can reduce later design changes and improve the stability and versatility of mold design.

Appropriate material selection and standardized processing techniques are equally important. Matching suitable mold steel and heat treatment processes ensures mold wear resistance and dimensional stability, reducing on-site rectification caused by substandard material performance. Utilizing high-precision equipment such as five-axis milling machines and EDM ensures the dimensional accuracy and surface quality of mold components, avoiding trial molding anomalies caused by machining errors.

Establishing a standardized trial molding management process effectively controls trial molding costs. Developing a complete trial molding plan and standardized operating procedures clarifies trial molding objectives and acceptance standards, eliminating ineffective and repetitive trials. Building a trial molding data acquisition and analysis system collects key process parameters in real time, facilitating the technical team to quickly locate fault points, implement targeted rectification and optimization, and shorten the overall trial molding cycle.

Strengthening cross-departmental collaboration further improves trial molding efficiency. Relevant departments such as design, manufacturing, process, and quality maintain information sharing and collaboratively troubleshoot and resolve on-site issues. Cross-departmental collaboration improves problem-solving speed, accumulates project case studies and technical experience, and provides reference for subsequent new projects.

The widespread adoption of digital and intelligent technologies provides technical support for optimizing the trial molding process. Digital twins can construct virtual mold models, completing molding simulation and process verification in advance, reducing the number of physical trial moldings. Intelligent mold monitoring systems can collect operational status data in real time, predict potential faults in advance, and reduce the probability of trial molding rework from the source.