Blow Molding Operator Training
– Machine Operators and Technicians
This three-day course provides process and troubleshooting techniques for processing bottles. Held by request, this course is typically held at our customer’s location with their equipment, but can also be held at PTI-US or PTI-Europe by request. This class includes roughly 10-12 hours of classroom instruction, followed by practical instruction at a blow molding machine.
One of the goals is to gain an understanding of the preform to bottle and machine relationships that affect the quality of bottles. A focus is given to the machine operation, settings and process parameters for controlling and maintaining a stable process. A review of cause and effect of defects will also be part of this class.
- PET properties that affect blow molding
- Introduction to drying and injection
- Blow Molding – classroom and practical instruction
- Options can include preferential heating, heatset, specific to your blow molding equipment.
Injection Molding Operator Training
– Machine Operators, Technicians, Supervisors, Quality Assurance, and others involved with PET
This two-day course includes a summary of the technology of injection molding PET preforms. Held by request, this course is typically held at our customer’s location with their equipment, but can also be held at PTI-US or PTI-Europe by request. The curriculum includes theoretical instruction presented in the classroom as well as practical activities occurring at an injection molding machine. The classroom portion of the training is 6 – 8 hours followed by an equal or greater amount of time on the molding floor.
The goal of the training is to provide students with an understanding of material properties, material handling, tooling, and injection molding practices necessary for PET preform molding. The emphasis of the hands-on portion of the training is to allow students to recognize and understand the attributes of a stable and robust injection molding process. This is accomplished by allowing students to build process and experienced-based knowledge from cause and effect relationships between the major machine settings and preform quality.