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1. Cost and operational advantages of adopting circular practices
2. Key materials in circular packaging (including rPET and emerging bioplastics)
3. How to design recycled food and beverage packaging
4. Sustainable bottle cap selection strategy to enable packaging solutions to meet future challenges
5. Optimization and simplification of production processes aimed at improving efficiency
6. How Husky’s technology can help you succeed in the field of sustainability
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- Review
Brushing the Screw Teeth - Prevention and Cleaning of Carbon Contamination in Plastic Processing
23 Jul,2024
This webinar will share:
1, In-depth analysis of common challenges in plastics processing (e.g., color change, material change and carbonization) and their solutions
2, Tips for using screw cleaning materials in different industries and processing (such as injection molding, blow molding, extrusion and blown film, etc.)
3, Chem-Trend's Ultra Purge food-certified and recyclable screw cleaning material, solving pain points while maintaining equipment condition
4. Online evaluation of cleaning costs for color and material changeovers in production.
1. Recyclable PET concept and rPET application areas
2. Global and regional trends driving the use of rPET in packaging
3. Progress of innovation for rPET in all packaging categories around the world
4. Challenges and effective methods related to rPET
5. Creating sustainable packaging with rPET, lightweighting and tethered caps
6. HUSKY's new R&D achievements
1. Requirements and concepts of LSR injection molding
2. How does LSR injection molding differ from traditional thermoplastic injection molding
3. The advantages of no runner injection molding, as well as the advantages of reducing waste through Cold Deck technology
4. Key elements and unique characteristics that need to be considered in the design of cold runner systems in order to successfully operate no runner molding
Moldintel's intelligent cloud injection molding solutions:
1. Improve the factory talent gap and assist in the systematization of on-site manufacturing experience, reduce the threshold of injection molding machine;
2. Through the continuous use of feedback and system AI iterative update, effectively reduce the cost of trial mold;
3. Mass production monitoring through the application of sensors to stabilize mass production capacity and yield;
4. Through the industrial Internet of Things and machine connection, to create a fully unmanned adaptive adjustment of injection molding process, flip the traditional manufacturing model;
5. Improve the unnecessary waste caused by the empirical trial and error method in the past, as well as the problem that there are many factions and new personnel are not easy to learn quickly, so as to minimize the problems caused by the lack of on-site work and the broken chain of experience transmission.
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