Trial and multi-series moulds - manufacturing flexibility
Trial moulds are used for testing prior to commencing mass production. They are primarily employed to verify product material quality, mechanical properties and aesthetics. They enable introducing potential changes to the design before it is marketed. Whereas multi-series moulds are intended for manufacturing higher quantities of components. Such moulds for plastic injection are characterized by greater durability and strength, which enables long-term operation. The choice between these two types is determined by project requirements and planned production volume.
Single- and multi-piece moulds - efficiency vs precision
Another aspect to consider when choosing an injection mould is its design. Single-piece moulds consist of one part, which is responsible for shaping the product. Their design is relatively simple and their manufacturing is cheaper, yet they may be less precise. However, multi-piece moulds consist of several parts, joined together during the injection process. This allows for more complex shapes and greater precision. The choice between the two types offered by NOEX, a manufacturer of injection moulds, depends on project complexity and quality-related requirements.
Standard and ‘sandwich’ moulds - material diversity
Standard moulds are the most common type of injection moulds employed in manufacturing most plastic elements. They enable injecting a single material and obtaining a uniform product structure. Whereas ‘sandwich’-type moulds allow for injecting two or more materials exhibiting different properties. This allows to obtain products with a diversified structure, e.g., hardened core and a soft surface. The choice between the two types is determined by the requirements related to product quality and process capabilities.
In summary, selecting the right injection mould is critical for implementing a successful project within the plastics industry. Such aspects as planned production volumes, shape complexity and required material properties should also be taken into account. This enables optimizing the manufacturing process and obtaining the best results.
